Coding Skills
General coding assistance and utilities. This page lists all 1777 Coding skills indexed from 86 repositories (updated 2026-10-26). Every skill is free and open source — open one for the install command, or filter the interactive catalog to Coding.
- skill-index-updater
luongnv89/asm · score 96/100 (grade A)
Add GitHub skill repos to the ASM index: clone, audit, eval, regenerate index, rebuild catalog, open PR. Use when given GitHub URLs to onboard. Don't use for refreshing indexed repos (refresh-index), improving skills (skill-creator), or install. - auto-push
luongnv89/skills · score 95/100 (grade A)
Generate a commit message, stage all changes, and push to remote after scanning for secrets, large files, and protected-branch risks. Skip for opening PRs, code review, or cutting releases/tags. - issue-pr-review
luongnv89/idd · score 95/100 (grade A)
Review a PR end-to-end with CI checks, fix cycles, and optional auto-merge. Use for PR review, cleanup, or readiness checks. Don't use for creating PRs, raw issue analysis, or non-PR code review. - seo-ai-optimizer
luongnv89/skills · score 95/100 (grade A)
Audit and optimize websites for technical SEO, content SEO, and AI bot accessibility. Fixes meta tags, sitemaps, robots.txt, structured data, llms.txt, and GPTBot/ClaudeBot directives. Don't use for App Store ASO, paid search, or blog writing. - agent-evals
sickn33/antigravity-awesome-skills · score 94/100 (grade A)
Build automated evaluation suites for AI agents using golden datasets, - appstore-review-checker
luongnv89/skills · score 94/100 (grade A)
Audit iOS/macOS apps against App Store Review Guidelines before submission, with evidence-backed verdicts and fixes. Don't use for Google Play, general code review, or rejection appeals. - plan-to-issues
luongnv89/idd · score 94/100 (grade A)
Convert any phased plan file, or a conversation about what to build, into labelled GitHub issues under one tracking epic mapping each issue to its source task. No plan file required. Don't use for writing plans, resolving issues, or triage. - skill-creator
luongnv89/asm · score 94/100 (grade A)
Create a skill or bring an existing one up to the same standard (validate + asm eval fix loop); run evals, tune triggering. Use when authoring, fixing, or retrofitting a skill. Don't use for invoking skills, writing prose, or Python scaffolds. - ux-ax-review
luongnv89/skills · score 94/100 (grade A)
Review website/app UX for humans and AX for AI/search; produce an evidence-backed audit and improvement plan across usability, brand, access, speed, conversion and discoverability. Don't use for UI builds, SEO-only edits, or legal certification. - viral-product-evaluator
luongnv89/skills · score 94/100 (grade A)
Review a product codebase and landing page against 32 viral principles and produce a Virality Score plus ranked fixes. Use to audit virality or prioritize growth. Don't use for SEO, ASO, copywriting, or code review. - frontend-design
luongnv89/skills · score 93/100 (grade A)
Build production-grade frontend interfaces with distinctive aesthetics and working code. Use for UI components, pages, or frontend features. Don't use for backend/API work or usability-only audits. - github-pages-publish
luongnv89/skills · score 93/100 (grade A)
Publish or update a static site (gh-pages) on GitHub Pages via GitHub Actions in any repo: text or pre-built HTML in, workflow set up, live URL verified. Don't use for CI test pipelines, framework/SSG builds, or Netlify/Vercel hosting. - herdr-agent
luongnv89/skills · score 93/100 (grade A)
Manage AI agent fleets in Herdr: tile root + sub-agents in one tab, start/prompt/wait/read/monitor via the herdr agent CLI, steer any pane; `help` lists every operation. Use for Herdr fleets. Don't use for tmux, screen, or non-Herdr terminals. - ollama-optimizer
luongnv89/skills · score 93/100 (grade A)
Optimize Ollama configuration for the current machine's hardware. Use when asked to speed up Ollama, tune local LLM performance, or pick models that fit available GPU/RAM. Don't use for LM Studio, llama.cpp, vLLM, or hosted-API LLM providers. - search-optimizer
luongnv89/skills · score 93/100 (grade A)
Optimize a site or app for SEO, AI-bot search and app-store search in one run: detect web vs store, run each audit once, merge one prioritized report; fixes only via member gates. Don't use for one fix (seo-ai-optimizer, aso-marketing). - tmux-agent-comms
luongnv89/skills · score 93/100 (grade A)
Manage AI agents in tmux: spawn sessions, send messages, wait, capture replies, inspect fleets, and tear down safely. Use for tmux-hosted CLI agents. Don't use for SSH, GNU screen, or GUI apps. - user-test
luongnv89/skills · score 93/100 (grade A)
Test an app, API or CLI like a real user: launch it, try every feature or named ones, log bugs, perf and UX issues, auto-fix simple ones, report. Don't use for unit tests, E2E suite code, or design audits. - cli-builder
luongnv89/skills · score 92/100 (grade A)
Build production-quality CLIs with language detection and a five-step approval-gated workflow. Use when wrapping an existing module or app. Don't use for GUI/TUI apps, web APIs, or one-off shell scripts. - design-optimizer
luongnv89/skills · score 92/100 (grade A)
Optimize a website or app design in one run: capture the page once, audit usability, UX/AX, virality and agent readiness, merge overlaps into one prioritized report, apply fixes on opt-in. Don't use for one lens (dont-make-me-think, ux-ax-review). - skill-shortener
luongnv89/asm · score 92/100 (grade A)
Refactor a too-long SKILL.md by progressive disclosure: measure token cost, classify every section KEEP/CUT/MOVE, shorten the body into references/ and scripts/, verify nothing was lost. Don't use for authoring new skills, eval retrofits, or prose. - agy-powerline
sickn33/antigravity-awesome-skills · score 91/100 (grade A)
Install, check and restyle the agy-powerline statusline for Antigravity CLI (agy): quotas, model, context window and git on agy's status bar. - azure-devops
sickn33/antigravity-awesome-skills · score 91/100 (grade A)
Set up Azure Pipelines for CI/CD, configure build and release pipelines, - nextflow
K-Dense-AI/claude-scientific-skills · score 91/100 (grade A)
Builds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs. - huggingface-lora-space-builder
sickn33/antigravity-awesome-skills · score 90/100 (grade A)
Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. - wjttc-builder
sickn33/antigravity-awesome-skills · score 90/100 (grade A)
PLAN and GENERATE WJTTC (Championship-Grade) test suites for any project. Analyzes the codebase, classifies components across the WJTTC five tiers (Brake · Engine · Aero · Tyre · Pit), writes a tiered test plan, and scaffolds executable test files. - cucumber-skill
sickn33/antigravity-awesome-skills · score 89/100 (grade B)
Generates Cucumber BDD tests with Gherkin feature files and step definitions in Java, JavaScript, or Ruby. Use when user mentions \"Cucumber\", \"Gherkin\", \"Feature/Scenario\", \"Given/When/Then\", \"BDD\". - firebase-app-platform
sickn33/antigravity-awesome-skills · score 89/100 (grade B)
Build and operate apps on Firebase using Auth, Firestore, Cloud Functions, - gtm-product-led-growth
github/awesome-copilot · score 89/100 (grade B)
Build self-serve acquisition and expansion motions. Use when deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when product complexity demands human touch. Includes the parallel test where sales-led won 10x on revenue. - pixeltable
sickn33/antigravity-awesome-skills · score 89/100 (grade B)
Build Pixeltable apps in app.py with tables, computed columns, embedding search, and HTTP routes. Use for RAG, media pipelines, and tool-calling agents. - agentic-verify
sickn33/antigravity-awesome-skills · score 88/100 (grade B)
Check that a Python change is caught by tests: run every mutant of the changed lines and write tests until they catch them. Reports evidence instead of a diff to read. - cloudflare-workers
sickn33/antigravity-awesome-skills · score 88/100 (grade B)
Build and deploy edge functions with Cloudflare Workers and Wrangler. - dropthehassle-publish
sickn33/antigravity-awesome-skills · score 88/100 (grade B)
Publish a finished static site to a free HTTPS link with DropTheHassle: build it if needed, deploy, hand over the claim link, verify it is live, never spend money. - github-actions
sickn33/antigravity-awesome-skills · score 88/100 (grade B)
Build, test, and deploy applications using GitHub Actions workflows. - idea-to-blueprint
sickn33/antigravity-awesome-skills · score 88/100 (grade B)
Turn a raw product, app, bot or feature idea into one evidence-backed build blueprint (researched stack, epics, Given/When/Then criteria, tests) that coding agents build one epic per session. - affiliate-blog-builder
Affitor/affiliate-skills · score 87/100 (grade B)
Write SEO-optimized affiliate blog articles, product reviews, comparison posts, listicles, and how-to guides. Triggers on: "write a blog post about", "review of [product]", "best [category] article", "comparison blog", "affiliate blog", "SEO article", "write a review", "product roundup", "blog content for affiliate", "how to use [product] blog post", "listicle about [category]", "[product] vs [product] blog", "content for my affiliate site". - conversion-tracker
Affitor/affiliate-skills · score 87/100 (grade B)
Set up affiliate conversion tracking with UTM parameters and link tagging. Triggers on: "set up tracking", "create UTM links", "track my affiliate links", "tracking pixels", "click attribution", "organize my links", "UTM parameters", "tag my links", "campaign tracking", "link tracking setup", "prepare for launch", "debug attribution", "tracking spreadsheet". - docs-sync-audit
github/awesome-copilot · score 87/100 (grade B)
Run a read-only documentation drift audit for a feature, PR, branch, release, API, configuration change, workflow, CLI, package, or repository area. Use when the user asks whether docs are stale, missing, inconsistent with code, or need updates after code changes. Checks README files, setup guides, API docs, env docs, changelogs, examples, comments, generated docs, and user-facing instructions. This is not a general code review; it compares what the docs claim against what the code does. - ecl-harness-engineer
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Create or audit ECL Agent Harness infrastructure: AGENTS.md, change tracking, repository guidance, lint checks, CI gates, and agent handoff docs. - gemini-interactions-api
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Build with the Gemini Interactions API for text, chat, multimodal generation, streaming, managed or background agents, function calling, structured output, and generateContent migrations. - gitlab-ci
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Configure GitLab CI/CD pipelines and runners for automated building, - huggingface-tool-builder
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. - latchbio-integration
K-Dense-AI/claude-scientific-skills · score 87/100 (grade B)
Builds, registers, debugs, and operates bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Registry, or launching and monitoring runs. - llmops-platform-engineering
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Build production LLMOps platforms with CI/CD, model promotion workflows, - n8n-code-tool
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Write and debug JavaScript or Python for the AI-callable n8n Custom Code Tool, including schemas, sandbox limits, and return formats. - postman-newman-automation
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Generate Newman CLI commands, configuration files, Jenkins pipeline scripts, and shell automation for running Postman collections in CI/CD or local environments. - runapi-cli
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Generate AI images, videos, and music/audio from agents using the RunAPI CLI. - swiftui-expert-skill
sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Write, review, and refactor SwiftUI for iOS or macOS, covering data flow, view composition, performance, identity, environment, localization, animation, API migration, and Instruments traces. - agent-architecture
github/awesome-copilot · score 86/100 (grade B)
Design AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture only; excludes implementation and general code review. - agents-v2-py
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Build container-based Foundry Agents with Azure AI Projects SDK (HostedAgentDefinition). Use when creating hosted agents with custom container images in Azure AI Foundry. - aws-cdk-development
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
AWS Cloud Development Kit (CDK) expert for building cloud infrastructure with TypeScript/Python. - cline-delegate
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Delegate coding tasks to the Cline CLI (`cline`) only when the user explicitly - cohesivity
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Provision headless backend services for AI agents through Cohesivity: hosting, databases, storage, LLMs, and third-party APIs over one HTTP API. Use when a trusted .cohesivity file exists or the user approves a new backend. - docker-management
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Build, optimize, and troubleshoot Docker containers and images. - eas-workflows
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Use when writing or reviewing Expo EAS workflow YAML: inspect current schema and job syntax, validate configuration, and separate draft edits from launching builds or submissions. - find-complementary-founders
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Use when an owner explicitly asks for a cofounder or project partner, or explicitly says they need a complementary builder, operator, go-to-market partner, or scaling capability. Assess and publish only the agent's own owner, then rank only approved own-owner profiles. - formik-patterns
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Formik form handling with validation patterns. Use when building forms, implementing validation, or handling form submission. - grok-build
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Delegate well-specified implementation tasks to xAI's Grok Build CLI running headlessly while the orchestrating agent plans, writes task specs, reviews every diff, and owns the result. - hosted-agents-v2-py
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Build hosted agents using Azure AI Projects SDK with HostedAgentDefinition. Use when creating container-based agents in Azure AI Foundry. - jev-social
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Run read-only, browser-grounded Instagram, TikTok, or LinkedIn research through Jev routing and socai CLI, returning source-linked evidence and reports. - kimi-delegate
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Delegate coding tasks to the Kimi Code CLI (`kimi`) only when the user - papers-skill
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Skill for academic research workflows: search Semantic Scholar (200M+ papers), inspect citations, download arXiv PDFs, and extract PDF text. Bundles a self-contained Python CLI. - pre-ship-gate
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
A ship gate that runs before any production deploy: checks the silent failure modes that make a deploy 'succeed' while prod stays broken, then verifies the live revision instead of trusting deploy output. - since-cutoff
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Find which APIs of a project's pinned Python dependencies changed after the model's training cutoff, where the code uses them, and write short AGENTS.md or CLAUDE.md notes. - testdriver-e2e-testing
sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Build E2E tests with TestDriver.ai, the AI code reviewer that runs every pull request in a real desktop sandbox, finds bugs, and builds regression tests - ai-sre-incident-response
sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Build AI-focused SRE incident response practices for LLM outages, degraded - azure-developer-cli
github/awesome-copilot · score 85/100 (grade B)
Design, create, review, migrate, or troubleshoot Azure Developer CLI (azd) projects using current Microsoft guidance. Use for azd, azure.yaml, AZD templates, Bicep or Terraform under infra, AZD environments and secrets, hooks, deployment workflows, and azd-managed CI/CD. - bulk-rnaseq
K-Dense-AI/claude-scientific-skills · score 85/100 (grade B)
Prepares bulk RNA-seq FASTQ, Salmon, STAR or featureCounts output for gene-level differential expression. Covers nf-core/rnaseq and standalone quantification, biological replication, strandedness, reference provenance, validated count assembly and a PyDESeq2 handoff. Use for FASTQ-to-counts analysis, nf-core/rnaseq configuration, STAR/Salmon quantification, or building a counts matrix for DESeq2. For single-cell data use scanpy; for statistical fitting alone use pydeseq2. - claude-api
sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Build apps with the Claude API or Anthropic SDK. TRIGGER when: code imports `anthropic`/`@anthropic-ai/sdk`/`claude_agent_sdk`, or user asks to use Claude API, Anthropic SDKs, or Agent SDK. DO NOT TRIGGER when: code imports `openai`/other AI SDK, general programming, or ML/data-science tasks. - code-review
github/awesome-copilot · score 85/100 (grade B)
Review pull requests for repository fit, meaningful value, trustworthy provenance, differentiation, and maintainability in awesome-copilot. - codex-profiles
sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Use codex-profiles to run Codex CLI or Codex Desktop with isolated CODEX_HOME profiles for separate accounts, projects, and local state. - convex-backend
sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Build reactive backends with Convex functions, schema validation, auth - expo-deployment
sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Deploy Expo apps with EAS: build and submit iOS and Android releases, configure build and submit profiles, manage versions and store metadata, and deploy web bundles or API routes. - five-axis-code-review
sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Five-axis code review checklist (correctness, security, readability, performance, test coverage) producing actionable comments instead of style nitpicks. Use when the user asks to review code, a diff, or a pull request. - gemini-live-api-dev
sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Use this skill when building real-time, bidirectional streaming applications with the Gemini Live API. - netlify-deploy
openai/skills · score 85/100 (grade B)
Deploy web projects to Netlify using the Netlify CLI (`npx netlify`). Use when the user asks to deploy, host, publish, or link a site/repo on Netlify, including preview and production deploys. - repo-native-refactor
sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Review diffs without editing, or perform evidence-based cleanup while preserving authorized behavior, public contracts, and domain ownership. - speech-engine
elevenlabs/skills · score 85/100 (grade B)
Add real-time voice conversations to a custom agent runtime with ElevenLabs Speech Engine. Use when building Speech Engine servers, WebSocket handlers, WebRTC browser clients, conversation token endpoints, interruption-aware streaming responses, or voice-enabled chat agents that connect developer-owned server logic to ElevenLabs speech-to-text and text-to-speech. - webinar-registration-page
Affitor/affiliate-skills · score 85/100 (grade B)
Build a webinar or live event registration page as a self-contained HTML file with countdown timer, speaker bio, agenda, and registration form. Triggers on: "build a webinar registration page", "create a webinar sign-up page", "event registration landing page", "live training registration page", "workshop sign-up page", "create a webinar page", "build an event page", "free webinar landing page", "live demo registration page", "online event page", "create a registration page for my webinar", "build a training event page". - agents
elevenlabs/skills · score 84/100 (grade B)
Build voice AI agents with ElevenLabs. Use when creating voice assistants, customer service bots, interactive voice characters, or any real-time voice conversation experience, and when configuring an agent's tools, workflows, or procedures, including creating, editing, and publishing free-form and structured procedure drafts on an agent branch over the SDKs or REST API. - animated-github-profile
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Build high-impact, animated GitHub profile READMEs that play like mini-movies using pure SVG, CSS, and SMIL animations. Covers dark/light theme switching, swinging lanyard ID badges, tech orbits, local stat cards, and automated contribution graphs. - appium-skill
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Generates production-grade Appium mobile automation scripts for Android and iOS in Java, Python, or JavaScript. Supports real device and emulator testing locally and on TestMu AI cloud with 100+ real devices. - connection-auth-rules
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Build a Connection Auth Rules for a Monte Carlo connection type. Fetches - cursor-delegate
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Delegate coding tasks to the Cursor Agent CLI (`cursor-agent`) only when - cypress-skill
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Generates production-grade Cypress E2E and component tests in JavaScript or TypeScript. Supports local execution and TestMu AI cloud. Use when the user asks to write Cypress tests, set up Cypress, test with cy commands, or mentions \"Cypress\", \"cy.visit\", \"cy.get\", \"cy.intercept\". - diagnosing-bugs
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow. - faf-context
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Get your project to 100% ✪ AI-readiness, fast — the AI auto-detects your stack and only asks for what it can't know (your goal and the human "why"). Least typing, maximum context. For time-conscious builders; feeds into faf-expert for depth. - frontend-lighthouse
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Add a portable Lighthouse CI gate for production frontend builds with Core Web Vitals budgets, category floors, median runs, and CI artifacts. - frontend-slides-frontend-slides
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. - geo-platform-optimizer
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Platform-specific AI search optimization — audit and optimize for Google - grok-delegate
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Delegate coding tasks to the Grok Build CLI only when the user explicitly - idea-autopsy
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Autopsy a business idea before you build it: kill-list check, five hard filters, a free-AI one-prompt test, live ad-market verification, and a verdict with a named kill-pattern. - monte-carlo-remediation
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Investigate and remediate data quality alerts using Monte Carlo MCP tools. Runs root cause analysis, assesses blast radius, discovers available tools (MCP/CLI/API), proposes and executes fixes, or escalates with full context when uncertain. - neon-postgres
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Guides and best practices for working with Neon Serverless Postgres. Covers setup, connection methods, branching, autoscaling, scale-to-zero, read replicas, connection pooling, Neon Auth, and the Neon CLI, MCP server, REST API, TypeScript SDK, and Python SDK. - platform-engineering
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Build internal developer platforms (IDPs) with self-service infrastructure, - pro-launch
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Build an app or product from 0 to 1, taste-first, with phase gates: references, naming, style frames, UI loop, launch video, GTM and shipping. Use for 做产品, 起名, 找参考, UI 太丑, launch plans. - pymc
K-Dense-AI/claude-scientific-skills · score 84/100 (grade B)
Builds and checks Bayesian models with PyMC, including hierarchical models, NUTS MCMC, variational inference, mutable-data predictions, posterior predictive checks, diagnostics, and PSIS-LOO model comparison. Use for probabilistic modeling and uncertainty inference in PyMC. - qiskit
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Build and transpile Qiskit circuits, test local simulators and prepare authorized hardware workloads with Sampler/Estimator primitives. - qoder-delegate
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Delegate coding tasks to the Qoder CLI (`qodercli`) only when the user - simpy
K-Dense-AI/claude-scientific-skills · score 84/100 (grade B)
Builds, inspects, tests, and analyzes bounded process-based discrete-event simulations with SimPy. Use for event scheduling, resource queues, interrupts, monitoring, independent replications, warm-up, and reproducible output analysis. - sshepherd
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Zero-knowledge SSH ops CLI — server health checks, docker/systemd control, log tailing, Postgres introspection, and declarative deploys, without ever exposing credentials to the agent. - supercov
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Measure line, branch and MC/DC coverage of a project's existing tests with the supercov CLI, then write small, focused tests for the code no test reaches. - tdd
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests. - ui-styling
nextlevelbuilder/ui-ux-pro-max-skill · score 84/100 (grade B)
Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications. - yao-meta-skill
sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use for skill creation, reusable workflow packaging, skill improvement, evals, and team-ready distribution. - adversarial-reviewer
alirezarezvani/claude-skills · score 83/100 (grade B)
Adversarial code review that breaks the self-review monoculture. Use when you want a genuinely critical review of recent changes, before merging a PR, or when you suspect Claude is being too agreeable about code quality. Forces perspective shifts through hostile reviewer personas that catch blind spots the author's mental model shares with the reviewer. - agy-auto
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Configure agy-auto PreToolUse security gate to run Antigravity CLI (agy) unattended with layered policy controls instead of --dangerously-skip-permissions. - agy-delegate
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Delegate coding tasks to the Google Antigravity CLI (`agy`) only when - alternatives-pages
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Create \"[Competitor] alternative\" and comparison pages for developer tools. Build honest, high-converting comparison content that ranks for competitive search terms. - apple-container
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Build, run, and manage OCI/Linux containers as lightweight per-container VMs on Apple-silicon macOS using Apple's open-source container CLI, no Docker daemon required. - azure-functions-devsec
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Build serverless applications on Azure Functions. Configure triggers, - codex-delegate
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Delegate coding tasks to the OpenAI Codex CLI only when the user explicitly - commandcode-delegate
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Delegate coding tasks to the Command Code CLI (`cmd`) only when the user - copilot-delegate
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Delegate coding tasks to the GitHub Copilot CLI (`copilot`) only when - esm
K-Dense-AI/claude-scientific-skills · score 83/100 (grade B)
Uses the Biohub esm Python SDK for ESM3 protein generation, ESMC embeddings, and ESMFold2 all-atom folding. Applies to local model inference and Biohub hosted clients, including former Forge workflows; distinguishes the separate legacy fair-esm distribution. - evaluation
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Build evaluation frameworks for agent systems. Use when testing agent performance systematically, validating context engineering choices, or measuring improvements over time. - flowkit
K-Dense-AI/claude-scientific-skills · score 83/100 (grade B)
Analyzes flow cytometry data with FlowKit, including spillover compensation, logicle and biexponential transforms, hierarchical gating, GatingML strategies, and supported FlowJo 10 workspaces. Use for reproducible gate counts, population percentages, gated fluorescence summaries, or reproducing a FlowJo analysis in Python. For FCS metadata inspection or file-format repair alone, use FlowIO. - frontend-ui-engineering
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Builds production-quality UIs. Use when building or modifying user-facing interfaces. Use when creating components, implementing layouts, managing state, or when the output needs to look and feel production-quality rather than AI-generated. - funnel-planner
Affitor/affiliate-skills · score 83/100 (grade B)
Plan a complete affiliate funnel from research to revenue. Triggers on: "plan my affiliate funnel", "create a funnel strategy", "affiliate business plan", "how to start affiliate marketing", "full funnel roadmap", "plan from scratch", "week by week affiliate plan", "chain skills together", "build my funnel", "affiliate marketing roadmap", "step by step affiliate plan", "onboarding plan". - gtm-0-to-1-launch
github/awesome-copilot · score 83/100 (grade B)
Launch new products from idea to first customers. Use when launching products, finding early adopters, building launch week playbooks, diagnosing why adoption stalls, or learning that press coverage does not equal growth. Includes the three-layer diagnosis, the 2-week experiment cycle, and the launch that got 50K impressions and 12 signups. - hf-mem
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub - jest-skill
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Generates Jest unit and integration tests in JavaScript or TypeScript. Covers mocking, snapshots, async testing, and React component testing. Use when user mentions \"Jest\", \"describe/it/expect\", \"jest.mock\", \"toMatchSnapshot\". - modellix
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Integrate the Modellix API/CLI for async AI image, video, and speech generation or transcription (model run --wait, task download). - neon-postgres-branches
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Choose and create the right Neon branch type for testing and development. Use when users ask about Neon branching, migration testing with real data, isolated test environments, schema-only branch workflows for sensitive data, or branch creation via Neon CLI or Neon MCP. - omero-integration
K-Dense-AI/claude-scientific-skills · score 83/100 (grade B)
Inspects and automates microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use this skill for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows. - pennylane
K-Dense-AI/claude-scientific-skills · score 83/100 (grade B)
Builds and differentiates PennyLane quantum circuits, hybrid PyTorch or JAX models, molecular VQE and QAOA workflows. Use for variational quantum algorithms, quantum machine learning, simulator validation, and moving validated circuits to provider plugins. For hardware-specific compilation use qiskit or cirq; for open-system dynamics use qutip. - product-showcase-page
Affitor/affiliate-skills · score 83/100 (grade B)
Build a single-product deep-dive showcase page as a self-contained HTML file. Triggers on: "build a product showcase page", "deep dive landing page for [product]", "create a product spotlight page", "product feature page", "single product page", "detailed page about [product]", "build a page showing everything about [product]", "create a long-form product page", "build a sales page for [product]", "product deep dive page", "make a feature breakdown page for [product]". - pytest-skill
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Generates production-grade pytest tests in Python with fixtures, parametrize, markers, mocking, and conftest patterns. Use when user mentions \"pytest\", \"conftest\", \"@pytest.fixture\", \"@pytest.mark\", \"Python test\". - qiskit
K-Dense-AI/claude-scientific-skills · score 83/100 (grade B)
Builds, simulates, transpiles, and executes quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and operators, V2 Sampler or Estimator primitives, target-aware transpilation, local or noisy simulation, IBM QPU execution, Runtime sessions or batches, error mitigation, and Qiskit ecosystem packages. - rag-infrastructure
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Build and operate Retrieval-Augmented Generation (RAG) infrastructure - robot-framework-skill
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Generates Robot Framework tests in keyword-driven syntax with Python. Supports SeleniumLibrary, RequestsLibrary, and custom keywords. Use when user mentions \"Robot Framework\", \"*** Test Cases ***\", \"SeleniumLibrary\", \".robot file\". - selenium-skill
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Generates production-grade Selenium WebDriver automation scripts and tests in Java, Python, JavaScript, C#, Ruby, or PHP. Supports local execution and TestMu AI cloud with 3000+ browser/OS combinations. - sendblue-cli
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Send iMessage and SMS from the shell via the @sendblue/cli npm package — outbound sends, contact management, and account setup with no API client or webhook server required. - turborepo-caching
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Configure Turborepo for efficient monorepo builds with local and remote caching. Use when setting up Turborepo, optimizing build pipelines, or implementing distributed caching. - ui-states
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Design and build the UI states agents forget: first use, empty, loading, error, offline, no results, long content, permission denied and success. - using-n8n-mcp-skills
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Route n8n MCP workflow design, editing, validation, testing, deployment, credential, execution, and debugging tasks to specialist guidance. - weaviate-cookbooks
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Build Weaviate AI apps from official cookbook blueprints for RAG, agentic RAG, data exploration, multimodal PDF search, async clients, and frontends. - wgm
sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Turns a rough request into working software via a governed build loop: align first, plan, then iterate one task at a time with deterministic backpressure and holdout-scenario judging. - agent-qa-debug-fix
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Debug, patch, and verify failed Agent QA runs from MCP evidence, artifacts, logs, and local code without hiding product or infrastructure defects. - anywrite
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Compiled CLI covering all 52 endpoints of the Anytype local API — objects, properties, tags, search, chat, files — one binary, no MCP server needed. - aws-lambda
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Build and deploy serverless functions on AWS Lambda. Configure triggers, - bazel-build-optimization
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Optimize Bazel builds for large-scale monorepos. Use when configuring Bazel, implementing remote execution, or optimizing build performance for enterprise codebases. - before-you-build
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Review product risk before coding by checking demand, alternatives, channels, switching costs, and failure signals. - benchling-integration
K-Dense-AI/claude-scientific-skills · score 82/100 (grade B)
Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API. - brag-sheet
github/awesome-copilot · score 82/100 (grade B)
Turn vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result → evidence). Works standalone with zero dependencies. Trigger for: "brag", "log work", "what did I do", "backfill my work history", "performance review", "self-review", "self assessment", "write impact statement", "review prep", "promo packet", "promotion case", "weekly update", "status report", "accomplishments", "what did I ship", "I forgot to log my work", "summarize my work", "track my wins", "what should I highlight", "end of half", "career growth", "work journal", or any request to document, summarize, or organize work accomplishments. - ci-cd-and-automation
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies. - code-showcase-react-ui-patterns
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Modern React UI patterns for loading states, error handling, and data fetching. Use when building UI components, handling async data, or managing UI states. - create-pull-request
warpdotdev/oz-skills · score 82/100 (grade B)
Create a GitHub pull request following project conventions. Use when the user asks to create a PR, submit changes for review, or open a pull request. Handles commit analysis, branch management, and PR creation using the gh CLI tool. - datamol
K-Dense-AI/claude-scientific-skills · score 82/100 (grade B)
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery including SMILES parsing, standardization, descriptors, fingerprints, clustering, 3D conformers, parallel processing. Returns native rdkit.Chem.Mol objects. For advanced control or custom parameters, use rdkit directly. - deepchem
K-Dense-AI/claude-scientific-skills · score 82/100 (grade B)
Builds molecular property prediction and MoleculeNet workflows with DeepChem, including SMILES featurization, scaffold or grouped holdouts, masked labels, graph models and explicit pretrained encoder transfer. Used for ADMET, toxicity, solubility and chemistry ML when DeepChem data/model contracts and scientific validation are needed. - design-system
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Mechanical implementation invariants for frontend design: token architecture, typography hierarchy, loading order, FOUT prevention, chrome stability, motion timing, color semantics. Use with design when building components, pages, or design systems. - dispatch
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Delegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code with topic-aware sessions - ditto
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Use when a user asks to mine or update a private, evidence-backed work profile from local Claude Code, Codex, Copilot CLI, or OpenCode sessions. - e2e-testing-patterns
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Build reliable, fast, and maintainable end-to-end test suites that provide confidence to ship code quickly and catch regressions before users do. - email-drip-sequence
Affitor/affiliate-skills · score 82/100 (grade B)
Write an email drip sequence for affiliate marketing. Triggers on: "write me an email sequence", "create a drip campaign", "email nurture sequence", "affiliate email funnel", "welcome email series", "email onboarding sequence", "write emails for my list", "set up a drip sequence", "email campaign for [product]", "nurture my subscribers", "email follow-up sequence", "build my email funnel", "write 5 emails promoting [product]", "email automation sequence". - expo-cicd-workflows
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Helps understand and write EAS workflow YAML files for Expo projects. Use this skill when the user asks about CI/CD or workflows in an Expo or EAS context, mentions .eas/workflows/, or wants help with EAS build pipelines or deployment automation. - expo-ui
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Build native UI with the @expo/ui package: real SwiftUI on iOS and Jetpack Compose on Android rendered from React in an Expo or React Native app. - feature-flags-architect
alirezarezvani/claude-skills · score 82/100 (grade B)
Use when adding, retiring, or auditing feature flags. Triggers on "add a flag", "ship behind a flag", "rollout plan", "kill switch", "stale flags", "flag debt", "LaunchDarkly", "GrowthBook", "Statsig", "Unleash", "Flipt", or any progressive-delivery question. Ships flag debt scanner, rollout planner, and kill-switch auditor (all stdlib Python), 4 references on flag taxonomy + provider trade-offs + rollout strategies + lifecycle, plus a /flag-cleanup slash command. - glasser
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Search, inspect, and run third-party data APIs through one CLI when the environment has no suitable integration. - huggingface-spaces
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grants. - hyperexecute-skill
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Operates HyperExecute end-to-end for TestMu AI/LambdaTest cloud test execution: analyze projects, create YAML, validate locally, run CLI jobs, debug failures, and wire CI. - laravel-development-workflow
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Build and fix existing Laravel applications through root-cause diagnosis, repository-native implementation, regression coverage, and risk-based verification. - matlab
K-Dense-AI/claude-scientific-skills · score 82/100 (grade B)
Builds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability. - opencode-delegate
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Delegate coding tasks to the OpenCode CLI only when the user explicitly - pm-skills
alirezarezvani/claude-skills · score 82/100 (grade B)
Use when coordinating project-delivery work across the 8 project-management sub-skills — sprint/velocity analytics, portfolio health, Jira/JQL, Confluence, Atlassian admin, templates, meeting analysis, team comms. Triggers on 'our sprints feel off', 'project health report', 'audit our Jira permissions', 'when will it be done', 'run the delivery loop'. Forks context to route to one sub-skill via a deterministic signal router and returns a digest; can also drive a full goal→plan→execute→verify→close delivery loop through the repo-wide agent-harness with Jira MCP data bridged into the domain's analytics tools. Distinct from product-team (what to build vs how to deliver it), business-operations (internal ops), and engineering/agent-harness (the generic loop engine this orchestrator plugs into). - remote-gpu-trainer
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Deploy, monitor, and debug long GPU jobs on RENTED/remote instances (AutoDL, RunPod, vast.ai, Lambda, Slurm, K8s): teardown/billing safety, spot resilience, resumable checkpointing, OOM/NaN triage. - security-and-hardening
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Hardens code against vulnerabilities. Use when handling user input, authentication, data storage, or external integrations. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services. - security-bluebook-builder
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Build a minimal but real security policy for sensitive apps. The output is a single, coherent Blue Book document using MUST/SHOULD/CAN language, with explicit assumptions, scope, and security gates. - squeeze-page-builder
Affitor/affiliate-skills · score 82/100 (grade B)
Build email capture landing pages (squeeze pages) as single self-contained HTML files. Triggers on: "build a squeeze page", "email capture page", "lead magnet page", "create an opt-in page", "build an email list page", "lead capture landing page", "create a freebie page", "build a page to collect emails", "opt-in landing page", "email signup page for [product/niche]", "create a lead magnet landing page", "build a page that captures emails before sending to affiliate offer". - terraform-patterns
alirezarezvani/claude-skills · score 82/100 (grade B)
Terraform infrastructure-as-code agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Covers module design patterns, state management strategies, provider configuration, security hardening, policy-as-code with Sentinel/OPA, and CI/CD plan/apply workflows. Use when: user wants to design Terraform modules, manage state backends, review Terraform security, implement multi-region deployments, or follow IaC best practices. - variant-analysis
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue. - vibe-delegate
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Delegate coding tasks to the Mistral Vibe CLI (`vibe`) only when the - web-performance-audit
warpdotdev/oz-skills · score 82/100 (grade B)
Audit web performance using Chrome DevTools MCP. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed. - write-a-skill
alirezarezvani/claude-skills · score 82/100 (grade B)
Create new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, build, or author a new skill. - zcode-delegate
sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Delegate coding tasks to the Z.AI ZCode CLI only when the user explicitly - antigravity-maintainer-batch-release
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Run protected AAS maintainer sweeps, PR merge batches, resumable review, immutable distribution, Core checks, and scripted releases. Use for repository maintenance, main alignment, CLI/MCP/Workbench changes, or release work; not ordinary contribution tasks. - aomi-transact
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Build natural-language crypto/DeFi agents and EVM MCP plugins (Claude Code, Cursor, Codex, Gemini). Aomi turns prompts into wallet-signed txs on Ethereum, Base, Arbitrum, Optimism, Polygon, Linea — non-custodial, fork-simulated. 40+ apps: Uniswap, Aave, Lido, Morpho, GMX, Hyperliquid, Polymarket. - bio-link-deployer
Affitor/affiliate-skills · score 81/100 (grade B)
Create a Linktree-style bio link hub page as a single self-contained HTML file. Triggers on: "create a bio link page", "make a linktree", "link in bio page", "bio link", "link hub", "create my link page", "all my links on one page", "linktree alternative", "build a link page", "bio page for my affiliate links", "I need a link in bio", "make a page with all my links", "link aggregator page". - bioservices
K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
Provides a Python interface to bioinformatics services including UniProt, KEGG, ChEMBL, Reactome, QuickGO, and UniChem. Used for cross-database protein annotation, pathway retrieval, chemical identifier mapping, and integrated biological data workflows with BioServices. - brooks-lint
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
AI code reviewer grounded in classic software engineering books for catching design smells, coupling issues, and architectural risks. - browser-extension-launch
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Builds, tests, packages, and prepares Chrome extensions for store launch from a plain-language idea; use for new extensions, fixes, releases, and submission recovery. - build-ui
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Step-by-step workflow for UI work: read the project, follow the plan for the job (new screen, dashboard, polish, simplify, review), then render, fix and check again. - chaos-engineering
alirezarezvani/claude-skills · score 81/100 (grade B)
Use when planning, running, or learning from chaos engineering experiments. Triggers on "chaos experiment", "fault injection", "gameday", "resilience test", "blast radius", "steady state", "abort criteria", "Chaos Toolkit", "Chaos Mesh", "Litmus", "Gremlin", "AWS FIS", or any deliberate failure-injection question. Ships experiment designer, blast-radius calculator, and postmortem generator (all stdlib Python), 4 references on chaos principles + experiment design + attack taxonomy + tooling landscape, and a /chaos-experiment slash command. Composes with feature-flags-architect (kill switches as abort triggers) and kubernetes-operator (common chaos targets). - clarvia-aeo-check
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Score any MCP server, API, or CLI for agent-readiness using Clarvia AEO (Agent Experience Optimization). Use current provider evidence as advisory input when evaluating a tool. - cline-pilot
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Proxy Cline CLI coding tasks: dispatch, monitor background runs via hard evidence, relay decision points in a fixed format, verify against a checklist, and learn per-tag preferences over time. - cloudflare-zero-trust
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Protect internal apps with Cloudflare Access, device posture, and Zero - customer-psychographic-profiler
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Build an evidence-grounded customer profile of motivations, fears, identity, and trust barriers before positioning, copywriting, or funnel design. - debugging-code
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Interactively debug source code — set breakpoints, step through execution line by line, inspect live variable state, evaluate expressions against the running program, and navigate the call stack to trace root causes. - devcontainer-setup
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces. - django-perf-review
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Django performance code review. Use when asked to "review Django performance", "find N+1 queries", "optimize Django", "check queryset performance", "database performance", "Django ORM issues", or audit Django code for performance problems. - dnanexus-integration
K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
Builds and operates reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Supports DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation. - domain-modeling
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, record an architectural decision, or when another skill needs to maintain the domain model. - ecc-conventions
affaan-m/ECC · score 81/100 (grade B)
Development conventions and patterns for ECC. JavaScript project with conventional commits. - ecc-conventions
affaan-m/everything-claude-code · score 81/100 (grade B)
Development conventions and patterns for ECC. JavaScript project with conventional commits. - eval-driven-dev
github/awesome-copilot · score 81/100 (grade B)
Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model. - expo-dev-client
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Build Expo app for development - genomic-coordinates
K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
Converts genomic intervals between coordinate conventions, normalises and compares variant representations, and detects assembly or contig-naming mismatches before they corrupt an analysis. Used whenever coordinates cross a format, tool, or assembly boundary - converting between BED, GFF/GTF, VCF, SAM/BAM, WIG, PSL, genePred, Picard interval_list, or region strings; reconciling 0-based half-open with 1-based inclusive; left-aligning or trimming indels; checking whether two variant records describe the same change; mapping genomic to transcript, CDS, or protein positions; auditing a BED/GTF/VCF for convention violations; or diagnosing GRCh37 vs hg19 vs GRCh38 vs T2T, chr-prefix, and liftover problems. Triggers include "off by one", "0-based", "1-based", "half-open", "coordinate system", "left-align", "normalize variant", "bcftools norm", "chr prefix", "wrong genome build", "liftover", "REF mismatch", and "HGVS". - gget
K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
Queries 20+ bioinformatics resources through CLI/Python. Supports quick lookups of gene info, BLAST/BLAT, viral sequence downloads, PDB/mmCIF structures, G2P residue annotations, enrichment analysis, OpenTargets, COSMIC, CELLxGENE, and 8cube mouse specificity/expression data. Best for interactive exploration and simple queries. For batch processing or advanced BLAST use biopython; for multi-database Python workflows use bioservices. - gtars
K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
Supports Gtars for local genomic interval models and set algebra, overlaps and counts, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and the CLI. - hugging-face-trackio
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). - ios-screens
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Build iPhone app screens that feel native: navigation, sheets, Dynamic Type, dark mode, permissions and paywalls, checked on small and large iPhones. - landing-page-creator
Affitor/affiliate-skills · score 81/100 (grade B)
Build high-converting affiliate landing pages as single self-contained HTML files. Triggers on: "create a landing page for", "build a landing page", "product landing page", "affiliate landing page", "comparison page for", "vs page", "single product page", "conversion page", "sales page for affiliate", "landing page HTML", "build me a page for", "create a page to promote [product]", "I need a landing page", "make a page for [product]". - liuguang-banlan-ui
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Builds two parameterized UI modes—流光溢彩白 (iridescent white) and 五彩斑斓黑 (colorful black)—with OKLCH, WebGL/CSS fallback, vision gating, screenshot QA, and total/per-color intensity reports. Use when a UI request names either mode or needs measured color parameters. - native-data-fetching
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (`useLoaderData`). - neurokit2
K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
Builds and audits reproducible NeuroKit2 research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Use when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation. - nx-workspace-patterns
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Configure and optimize Nx monorepo workspaces. Use when setting up Nx, configuring project boundaries, optimizing build caching, or implementing affected commands. - pi-delegate
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Delegate coding tasks to the Pi coding agent CLI (`pi`) only when the - prompt-caching-strategy
affaan-m/ECC · score 81/100 (grade B)
Optimize LLM prompt caching hit rate to reduce API costs and improve latency. Analyzes prompt structure, identifies cacheable vs non-cacheable content, and recommends restructuring to maximize cache reuse. TRIGGER when: user says "prompt cache", "cache hit rate", "reduce LLM cost", "optimize token usage", "cheaper LLM calls", or asks about prompt caching strategies for OpenAI/Anthropic/other providers. DO NOT TRIGGER when: user just wants to optimize a single prompt's quality (use prompt-optimizer instead), or asks about general caching infrastructure. - prompt-caching-strategy
affaan-m/everything-claude-code · score 81/100 (grade B)
Optimize LLM prompt caching hit rate to reduce API costs and improve latency. Analyzes prompt structure, identifies cacheable vs non-cacheable content, and recommends restructuring to maximize cache reuse. TRIGGER when: user says "prompt cache", "cache hit rate", "reduce LLM cost", "optimize token usage", "cheaper LLM calls", or asks about prompt caching strategies for OpenAI/Anthropic/other providers. DO NOT TRIGGER when: user just wants to optimize a single prompt's quality (use prompt-optimizer instead), or asks about general caching infrastructure. - prompt-optimizer
affaan-m/ECC · score 81/100 (grade B)
Analyze draft prompts, detect intent and missing context, match ECC commands, skills, and agents, and output a ready-to-paste optimized prompt with diagnosis and rationale — advisory only, never executes the task. Use when the user says 'optimize prompt', 'improve my prompt', 'rewrite this prompt', 'help me prompt', 优化prompt, 改进prompt, 怎么写prompt, or 帮我优化这个指令; not for requests to optimize code or performance. - prompt-optimizer
affaan-m/everything-claude-code · score 81/100 (grade B)
Analyze draft prompts, detect intent and missing context, match ECC commands, skills, and agents, and output a ready-to-paste optimized prompt with diagnosis and rationale — advisory only, never executes the task. Use when the user says 'optimize prompt', 'improve my prompt', 'rewrite this prompt', 'help me prompt', 优化prompt, 改进prompt, 怎么写prompt, or 帮我优化这个指令; not for requests to optimize code or performance. - pubmed-database
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations. - pydeseq2
K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
Performs bulk RNA-seq differential expression analysis with PyDESeq2, including count validation, formula designs, explicit contrasts, Wald tests, FDR correction, coefficient-matched LFC shrinkage, and result visualization. Use for PyDESeq2 or Python DESeq2 workflows with biological replicates. - rayden-use
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Build and maintain Rayden UI components and screens in Figma via Figma MCP with full design token enforcement - rclone-cli
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Rclone command-line cloud storage manager reference and usage guide. Use this skill whenever the user mentions rclone, or any task involving terminal-based cloud file operations such as upload, download, sync, copy, move, mount, or remote management. - redis-cli
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Redis command-line interface (redis-cli) reference and usage guide. Use this skill whenever the user mentions redis-cli, Redis CLI, or any task involving querying, inspecting, debugging, or managing Redis from the command line. - scanpy
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Scanpy is a scalable Python toolkit for analyzing single-cell RNA-seq data, built on AnnData. Apply this skill for complete single-cell workflows including quality control, normalization, dimensionality reduction, clustering, marker gene identification, visualization, and trajectory analysis. - screenstudio-alt
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Open-source headless Screen Studio alternative: auto speed-up of idle, auto-zoom on click clusters, keystroke overlay chips, smoothed synthetic cursor, and 9:16 vertical export that follows the action — post-production for screen recordings from the CLI. - scvelo
K-Dense-AI/claude-scientific-skills · score 81/100 (grade B)
Performs RNA velocity analysis with scVelo from spliced and unspliced single-cell RNA counts. Fits deterministic or dynamical models, examines gene phase portraits, builds velocity graphs, estimates relative latent time, and ranks velocity-associated genes. Use for directional trajectory hypotheses and kinetic-model diagnostics alongside Scanpy; velocity alone does not establish cell fate or causal drivers. - senior-prompt-engineer
alirezarezvani/claude-skills · score 81/100 (grade B)
Use when the user asks to optimize prompts, design prompt templates, evaluate LLM outputs with an eval set, measure RAG retrieval quality, validate agent/tool configurations, analyze token usage, or design structured-output contracts. Covers eval-driven prompt iteration, RAG metrics (relevance, faithfulness, coverage), agent workflow validation, and token/cost budgeting — all model-agnostic, with three stdlib Python tools. - sequence-psychologist
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Plan email nurture and multi-touch communication sequences when each message should build trust and prepare the next decision. - shadcn
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Manages shadcn/ui components and projects, providing context, documentation, and usage patterns for building modern design systems. - simplify-code
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Review a diff for clarity and safe simplifications, then optionally apply low-risk fixes. - source-driven-development
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Grounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters. - squirrel
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Full-cycle AI coding skill: plans, builds, tests, lints, fixes bugs, and writes production-grade docs. Auto-detects project state and adapts its 8-phase pipeline. - sveltekit
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Build full-stack web applications with SvelteKit — file-based routing, SSR, SSG, API routes, and form actions in one framework. - tastegate
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Build or fix a frontend so it looks designed, not AI-generated, then prove it in a real browser: renders at phone and desktop width and fails on overlap, low contrast and AI-slop defaults. - terraform-skill
antonbabenko/terraform-skill · score 81/100 (grade B)
Use when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI, scans, or state ops - diagnoses failure mode (identity churn, secrets, blast radius, CI drift, state corruption) with version-aware guards. - vercel-cli-with-tokens
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Deploy and manage projects on Vercel using token-based authentication. Use when working with Vercel CLI using access tokens rather than interactive login — e.g. \"deploy to vercel\", \"set up vercel\", \"add environment variables to vercel\". - vitest-skill
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Generates Vitest tests in JavaScript/TypeScript with Vite-native speed. Jest-compatible API with ESM support and HMR. Use when user mentions "Vitest", "vi.mock", "vitest.config". Triggers on: "Vitest", "vi.mock", "vi.fn", "Vite test", "vitest config". - warp-delegate
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Delegate coding tasks to the Warp Agent CLI (`oz`) only when the user - webdriverio-skill
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Generates WebdriverIO (WDIO) automation tests in JavaScript or TypeScript. Supports local and TestMu AI cloud. Use when user mentions "WebdriverIO", "WDIO", "wdio.conf", "browser.url", "$", "$$". Triggers on: "WebdriverIO", "WDIO", "wdio", "browser.$". - zero-trust
sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Implement zero-trust network architecture. Configure identity-based access, - agentphone
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Build AI phone agents with AgentPhone API. Use when the user wants to make phone calls, send/receive SMS, manage phone numbers, create voice agents, set up webhooks, or check usage — anything related to telephony, phone numbers, or voice AI. - ai-loop
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Runs a bounded spec-build-review development loop with explicit scope, stop conditions, and human approval gates for risky or ambiguous work. - analytics-tracking
alirezarezvani/claude-skills · score 80/100 (grade B)
Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality. Use when building a tracking plan from scratch, auditing existing analytics for gaps or errors, debugging missing events, or setting up GTM. Trigger keywords: GA4 setup, Google Tag Manager, GTM, event tracking, analytics implementation, conversion tracking, tracking plan, event taxonomy, custom dimensions, UTM tracking, analytics audit, missing events, tracking broken. NOT for analyzing marketing campaign data — use campaign-analytics for that. NOT for BI dashboards — use product-analytics for in-product event analysis. - automated-triage
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Triage Monte Carlo alerts interactively or build an automated workflow. Fetch, score, and troubleshoot alerts using MCP tools now, or design a reusable workflow that runs on a schedule. - aws-serverless-eda
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
AWS serverless and event-driven architecture expert based on Well-Architected Framework. Use when building serverless APIs, Lambda functions, REST APIs, microservices, or async workflows. - azd-deployment
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Prepare and verify authorized Azure Container Apps deployments with azd. Use for azure.yaml, Bicep, remote builds, managed identity and post-deploy checks. - azure-cosmos-py
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Azure Cosmos DB SDK for Python (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data. - azure-keyvault-keys-ts
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Manage cryptographic keys using Azure Key Vault Keys SDK for JavaScript (@azure/keyvault-keys). Use when creating, encrypting/decrypting, signing, or rotating keys. - azure-keyvault-secrets-ts
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Manage secrets using Azure Key Vault Secrets SDK for JavaScript (@azure/keyvault-secrets). Use when storing and retrieving application secrets or configuration values. - azure-servicebus-rust
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Azure Service Bus library for Rust. Send and receive messages using queues, topics, and subscriptions. Triggers: "service bus rust", "ServiceBusClient rust", "send message servicebus rust", "receive message servicebus rust", "queue rust messaging", "topic subscription rust". - azure-storage-queue-rust
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Azure Queue Storage library for Rust. Send, receive, and manage queue messages. Triggers: "queue storage rust", "QueueClient rust", "send message rust", "receive messages rust", "QueueServiceClient rust", "queue rust". - biopython
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Biopython is a comprehensive set of freely available Python tools for biological computation. It provides functionality for sequence manipulation, file I/O, database access, structural bioinformatics, phylogenetics, and many other bioinformatics tasks. - bonus-stack-builder
Affitor/affiliate-skills · score 80/100 (grade B)
Design exclusive bonus packages that make YOUR affiliate link the obvious choice. Triggers on: "create bonuses for", "bonus stack", "what bonuses should I offer", "bonus ideas for", "exclusive bonuses", "differentiate my affiliate link", "why buy through my link", "affiliate bonuses", "bonus package", "what can I offer as a bonus", "design bonuses", "build a bonus stack". - brave-man
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Runs a structured clarifying interview for new project requests before building. Instead of writing code, it outputs a fully specified prompt.md for a fresh agent session to execute, preventing expensive mistakes. - brooks-harness
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Maintenance orchestrator for the brooks-lint plugin itself. - byagent
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Publish agent-written Markdown or HTML as a shareable link with the byagent CLI, then read readers' line comments back, edit, republish to the same link and resolve them. - carrier-relationship-management
affaan-m/ECC · score 80/100 (grade B)
Manage truckload, LTL, and intermodal carrier portfolios: sourcing and FMCSA vetting, freight rate and fuel-surcharge negotiation, RFPs and routing guides, carrier scorecards, allocation, and renewals. Use when onboarding carriers, running freight RFPs, negotiating rates, evaluating carrier performance, reallocating freight, or building freight strategy. - carrier-relationship-management
affaan-m/everything-claude-code · score 80/100 (grade B)
Manage truckload, LTL, and intermodal carrier portfolios: sourcing and FMCSA vetting, freight rate and fuel-surcharge negotiation, RFPs and routing guides, carrier scorecards, allocation, and renewals. Use when onboarding carriers, running freight RFPs, negotiating rates, evaluating carrier performance, reallocating freight, or building freight strategy. - cc-skill-continuous-learning
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Turn a completed debugging session or repeated user correction into a small, evidence-backed procedure. Use for explicit requests to capture reusable lessons; does not automatically extract or save memories. - changelog-updates
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Create release notes and product updates that developers actually read and care about. This skill covers changelog formatting, versioning communication, breaking change announcements, deprecation notices, and building anticipation for new features. - ckw-design
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Frontend design entry point: direction, design system, visual philosophy. Use whenever building or touching the look of any web UI (components, pages, dashboards, React/Vue/HTML-CSS) or when the user says \"make this look better\", \"fix the spacing/layout\", or mentions styling, color, type, or polish. - claimable-postgres
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Provision instant temporary Postgres databases via Claimable Postgres by Neon (neon.new) with no login, signup, or credit card. Supports REST API, CLI, and SDK. - claude-settings-audit
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Analyze a repository to generate recommended Claude Code settings.json permissions. Use when setting up a new project, auditing existing settings, or determining which read-only bash commands to allow. Detects tech stack, build tools, and monorepo structure. - cli-creator
openai/skills · score 80/100 (grade B)
Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read/write commands, return stable JSON, manage auth, and pair with a companion skill. - code-simplification
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity. - codex-subagent
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Launch Codex CLI as an isolated subagent for bounded coding, review, or verification tasks. - dataverse-python-usecase-builder
github/awesome-copilot · score 80/100 (grade B)
Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations - developer-advocacy
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
When the user wants to do developer advocacy activities including conference talks, live coding, podcasts, and building in public. - effective-agent-skills
davidondrej/skills · score 80/100 (grade B)
Write, review, and debug agent skills. Use when creating or editing SKILL.md files, improving skill structure, or diagnosing invocation and execution problems. - email-automation-builder
Affitor/affiliate-skills · score 80/100 (grade B)
Build multi-sequence email automation flows with branching logic. Triggers on: "build email automation", "create email funnel", "email automation flow", "welcome series with branches", "conditional email sequence", "set up automation", "email workflow builder", "segmented email flow", "advanced email sequence", "nurture funnel", "cart abandonment sequence", "win-back email flow". - expo-module
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Guide for creating and writing Expo native modules and views using the Expo Modules API (Swift, Kotlin, TypeScript). Covers module definition DSL, native views, shared objects, config plugins, lifecycle hooks, autolinking, and type system. - fastapi-templates
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects. - gdb-cli
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
GDB debugging assistant for AI agents - analyze core dumps, debug live processes, investigate crashes and deadlocks with source code correlation - geopandas
K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O. - github-actions-debugger
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Specialized skill for diagnosing, analyzing, and fixing failing GitHub Actions workflows by parsing run logs and pipeline definitions. - google-cloud-storage-bucket-architect
google/skills · score 80/100 (grade B)
Creates Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Analyzes the workload (sensitive data, media hosting, ingestion, web hosting, archiving, backup, logging, analytics, AI/ML, or general-purpose), validates project-level security settings, and designs a secure-by-default, cost-effective configuration (location, storage class, uniform bucket-level access, public access prevention, soft delete, lifecycle) before creating it. Use whenever a user wants to create, make, set up, provision, or spin up a bucket, or needs object storage for an app, service, pipeline, or dataset — even a "simple" or "default" bucket, or when bucket creation is one step in a larger workflow. Outputs or executes the creation via gcloud, the JSON/REST API, Terraform, or SDK client libraries (C++, Java, Python, Go). Don't use for anything other than creating new buckets — for uploads, downloads, access changes, or reconfiguring existing buckets, use google-cloud-storage-basics. - langchain-architecture
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Master the LangChain framework for building sophisticated LLM applications with agents, chains, memory, and tool integration. - macos-spm-app-packaging
Dimillian/Skills · score 80/100 (grade B)
Scaffold, build, and package SwiftPM-based macOS apps without an Xcode project. Use when you need a from-scratch macOS app layout, SwiftPM targets/resources, a custom .app bundle assembly script, or signing/notarization/appcast steps outside Xcode. - macos-spm-app-packaging
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Scaffold, build, sign, and package SwiftPM macOS apps without Xcode projects. - market-research-reports
K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Builds evidence-traceable market research reports and assumption-driven market sizing or forecast scenarios. Use for market definition, industry and customer evidence, competitive landscapes, TAM/SAM/SOM reconciliation, forecast sensitivity, and auditable report scaffolds. - mcp-builder
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks. - meta-description-optimizer
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Meta Description Optimizer. Use when working with existing description and page content or summary. - msstore-cli
github/awesome-copilot · score 80/100 (grade B)
Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications. - neon-postgres-egress-optimizer
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Diagnose and fix excessive Postgres egress (network data transfer) in a codebase. - opentrons-integration
K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Authors, reviews, migrates, simulates, and troubleshoots official Opentrons Python Protocol API v2 protocols for Flex and OT-2 robots. Use for robot-specific liquid handling, deck and labware setup, pipettes, modules, runtime parameters, liquid classes, and Opentrons App analysis. Use pylabrobot instead when one workflow must support multiple robot vendors. - os-scripting
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Operating system and shell scripting troubleshooting workflow for Linux, macOS, and Windows. Covers bash scripting, system administration, debugging, and automation. - paperzilla
K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Reads projects, searches project feeds, and retrieves recommendations and canonical papers in Paperzilla through the pz CLI. Supports recent recommendations, paper details, markdown-based summaries, recommendation feedback, JSON export, and Atom feed URLs. - plan-writing
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Structured task planning with clear breakdowns, dependencies, and verification criteria. Use when implementing features, refactoring, or any multi-step work. - presentation-deck
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Build an evidence-linked slide register after context-first intake. Use when an SME needs a presentation deck, speaker notes, or a structured business story. - privacy-by-design
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Use when building apps that collect user data. Ensures privacy protections are built in from the start—data minimization, consent, encryption. - prompt-engineering
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior. - prototype
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Build a throwaway prototype to flesh out a design — a runnable terminal app for state/business-logic questions, or several radically different UI variations toggleable from one route. - pufferlib
K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Version-aware guidance for PufferLib reinforcement-learning environments, vectorization, policies, PuffeRL training, evaluation, and safe checkpoint review. Covers the native 5.0 build and environment API, published 3.0.0 Gymnasium/PettingZoo adaptation, and a pinned historical 4.0 profile. - pydantic-ai
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Build production-ready AI agents with PydanticAI — type-safe tool use, structured outputs, dependency injection, and multi-model support. - quality-playbook
github/awesome-copilot · score 80/100 (grade B)
Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'. - scientific-slides
K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Builds slide decks and presentations for research talks. Used for making PowerPoint slides, conference presentations, seminar talks, research presentations, thesis defense slides, or any scientific talk. Provides slide structure, design templates, timing guidance, and visual validation. Works with PowerPoint and LaTeX Beamer. - scikit-learn
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Machine learning in Python with scikit-learn. Use for classification, regression, clustering, model evaluation, and ML pipelines. - scikit-survival
K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Builds, evaluates, and audits right-censored or competing-risk survival workflows with scikit-survival, including leakage-safe preprocessing, model selection, probability prediction, and censoring-aware metrics. - scrum-master
alirezarezvani/claude-skills · score 80/100 (grade B)
Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams. - setup-gbrain
garrytan/gstack · score 80/100 (grade B)
Set up gbrain for this coding agent: install the CLI, initialize a local PGLite or Supabase brain, register MCP, capture per-remote trust policy. (gstack) - shopify-development
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Build Shopify apps, extensions, themes using GraphQL Admin API, Shopify CLI, Polaris UI, and Liquid. - soc2-compliance
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Implement SOC 2 Trust Services Criteria. Configure security, availability, - statsmodels
K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Fits and diagnoses Python statistical models including OLS, GLM, discrete and mixed models, ARIMA and SARIMAX. Supports coefficient inference, marginal effects, model comparison and time series forecasting with explicit design and uncertainty checks. Used for econometrics and statistical modeling; for guided test selection with APA reporting, see statistical-analysis. - systematic-debugging
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - test-driven-development
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Use a failing behavioral test to guide a feature or bug fix, then implement and refactor with relevant regression checks. - typesafe-ai
typesafe-ai/skills · score 80/100 (grade B)
TypeSafe integration craft for System One models (sometimes called Decision Models) such as Jev, which answer typed questions about text, images, and application state with calibrated probabilities. Use when building, reviewing, or debugging code that calls TypeSafe; when writing its questions or state; when replacing an LLM prompt-and-parse step, keyword matching, or a brittle heuristic with a typed question; or when brainstorming where programmable common sense fits in an app. - uniprot-database
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control. - web-artifacts-builder
sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Create React frontend artifacts and bundle a reviewed project into a shareable HTML file. - a4a
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Connect your AI agent to the A4A end-to-end encrypted agent-to-agent messaging network via local MCP tools or Python SDK. - ab-testing
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. - agent-qa-authoring
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Create, edit, validate, and run Agent QA tests, suites, and hooks through MCP or CLI while preserving canonical IDs and schema contracts. - ai-engineer
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. - akf-trust-metadata
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
The AI native file format. EXIF for AI — stamps every file with trust scores, source provenance, and compliance metadata. Embeds into 20+ formats (DOCX, PDF, images, code). EU AI Act, SOX, HIPAA auditing. - anti-ui-slop
github/awesome-copilot · score 79/100 (grade C)
Stop coding agents from shipping generic UI. Use UIZZE''s 800,000+ real web and iOS screens to build product-specific interfaces, define a design contract, cover required states, and run a hard finish gate. Use when designing, implementing, redesigning, critiquing, or pre-ship reviewing a web or iOS interface in Codex, Claude Code, Cursor, Copilot, or another coding agent. Trigger with "anti-ui-slop", "stop UI slop", "ground this UI in real screens", or "run the UI finish gate". - antigravity-workflows
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Use when asked to ship a SaaS MVP, audit application security, build an AI agent, run browser QA, or design a domain model with multiple skills and verified checkpoints. - application-integration-basics
google/skills · score 79/100 (grade C)
Explains Google Cloud Application Integration concepts, region provisioning, IAM roles, run-as service accounts, interface choices (REST, Python discovery client, Terraform, ADK), and platform limits. Use when setting up Application Integration in a Google Cloud project, enabling required APIs, provisioning a region, configuring IAM or run-as service accounts, choosing between Application Integration and custom code, or checking quotas and timeouts. Do not use for building, publishing, or invoking integrations (use application-integration-authoring) or diagnosing failed or stuck runs and logs (use application-integration-troubleshooting). - arize-annotation
github/awesome-copilot · score 79/100 (grade C)
Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review. - astropy
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis. - autoresearch
github/awesome-copilot · score 79/100 (grade C)
Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric. - axonx
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Develop AxonX research plugins and operate quantitative research tasks through CLI or MCP, inspecting execution status, logs, artifacts, and lineage. - azure-ai-vision-imageanalysis-java
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build image analysis applications with Azure AI Vision SDK for Java. Use when implementing image captioning, OCR text extraction, object detection, tagging, or smart cropping. - azure-cosmos-ts
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Azure Cosmos DB JavaScript/TypeScript SDK (@azure/cosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. - azure-eventgrid-java
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build event-driven applications with Azure Event Grid SDK for Java. Use when publishing events, implementing pub/sub patterns, or integrating with Azure services via events. - azure-keyvault-py
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Azure Key Vault SDK for Python. Use for secrets, keys, and certificates management with secure storage. - azure-storage-blob-rust
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Azure Blob Storage SDK for Rust. Use for uploading, downloading, and managing blobs and containers. - backend-security-coder
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Expert in secure backend coding practices specializing in input validation, authentication, and API security. Use PROACTIVELY for backend security implementations or security code reviews. - boat
davidondrej/skills · score 79/100 (grade C)
Manage Boat (boat.dev, formerly Box by Ascii) cloud sandboxes via API, CLI, and SSH. Use for provisioning, environments, secrets, templates, snapshots, stop/resume/fork, or running BB and coding agents on Boat. - browser-automation
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build reliable browser checks using observed UI state, semantic locators, bounded waits, isolated test data and explicit outcome verification. - career-ops
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Multi-CLI job-search command center: evaluate offers, scan portals, - code-showcase-core-components
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Core component library and design system patterns. Use when building UI, using design tokens, or working with the component library. - code-showcase-testing-patterns
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle. - cypress-flake-fixer
github/awesome-copilot · score 79/100 (grade C)
Find and fix flake-prone anti-patterns in an existing Cypress suite, and APIs removed in Cypress 12 to 16. Bundles a zero-dependency scanner for fixed cy.wait() delays, assigned command return values, async/await, force: true, chaining after actions, one-shot expect() inside .then(), conditional testing, and removed APIs such as Cypress.env(), cy.exec(), cy.server()/cy.route(). Use when asked to fix flaky Cypress tests, remove cy.wait, stabilize or harden a Cypress suite, audit Cypress specs, debug "detached from the DOM" errors, or prepare an upgrade to Cypress 15 or 16. - dbos-golang
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Guide for building reliable, fault-tolerant Go applications with DBOS durable workflows. Use when adding DBOS to existing Go code, creating workflows and steps, or using queues for concurrency control. - debugging-and-error-recovery
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Guides systematic root-cause debugging. Use when tests fail, builds break, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need a systematic approach to finding and fixing the root cause rather than guessing. - featured-snippet-optimizer
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Featured Snippet Optimizer. Use when working with target question and existing passage. - fullstack-dev
MiniMax-AI/skills · score 79/100 (grade C)
Full-stack backend architecture and frontend-backend integration guide. TRIGGER when: building a full-stack app, creating REST API with frontend, scaffolding backend service, building todo app, building CRUD app, building real-time app, building chat app, Express + React, Next.js API, Node.js backend, Python backend, Go backend, designing service layers, implementing error handling, managing config/auth, setting up API clients, implementing auth flows, handling file uploads, adding real-time features (SSE/WebSocket), hardening for production. DO NOT TRIGGER when: pure frontend UI work, pure CSS/styling, database schema only. - gemini-api-dev
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. - github-actions-templates
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Production-ready GitHub Actions workflow patterns for testing, building, and deploying applications. - gtm-enterprise-account-planning
github/awesome-copilot · score 79/100 (grade C)
Strategic account planning and execution for enterprise deals. Use when planning complex sales cycles, managing multiple stakeholders, applying MEDDICC qualification, tracking deal health, or building mutual action plans. Includes the "stale MAP equals dead deal" pattern. - gtm-partnership-architecture
github/awesome-copilot · score 79/100 (grade C)
Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment. - hasdata-cli
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Command-line access to search, scraping, and structured web data. - hugging-face-tool-builder
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. You can access the API directly, as well as use the hf command line tool. - hunt-source-leak
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Hunt source code and build artifact leakage - interview-style-doc-building
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build structured strategy documents by asking one question at a time and patching the file. - keyword-cluster-architect
Affitor/affiliate-skills · score 79/100 (grade C)
Map 50-200+ keywords into topical clusters for SEO domination. Build content roadmaps for topical authority. Triggers on: "keyword research", "keyword clustering", "topical authority", "keyword map", "keyword strategy", "content roadmap for SEO", "keyword grouping", "topic clusters", "SEO keyword plan", "map my keywords", "keyword cluster", "hub and spoke content", "build topical authority", "SEO content plan", "keyword universe". - lesson-generator
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build compact, standalone multi-lesson course artifacts with lesson navigation, objectives, flashcards, quizzes, and source links. - lintlang-audit
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Audit named agent instructions, tool definitions, and supported Python prompts with local LintLang checks; return finding codes and locations without changing files. - local-schema-builder
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Local Schema Builder. Use when working with business facts, page URL and actual address or service area. - m365-agents-dotnet
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Microsoft 365 Agents SDK for .NET. Build multichannel agents for Teams/M365/Copilot Studio with ASP.NET Core hosting, AgentApplication routing, and MSAL-based auth. - markstream-vue2-cli
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Integrate markstream-vue2 into Vue CLI or Webpack 4 with export-map-safe CSS, CDN worker fallbacks, and conservative code-block defaults. - mcp-builder
warpdotdev/oz-skills · score 79/100 (grade C)
Build high-quality MCP (Model Context Protocol) servers that let LLMs interact with external services through well-designed tools. Use when creating MCP servers to integrate APIs or services in Python (FastMCP) or Node/TypeScript (MCP SDK). - modal
K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Modal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK. - mtls-configuration
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Configure mutual TLS (mTLS) for zero-trust service-to-service communication. Use when implementing zero-trust networking, certificate management, or securing internal service communication. - multi-platform-apps-multi-platform
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build and deploy the same feature consistently across web, mobile, and desktop platforms using API-first architecture and parallel implementation strategies. - observability-cloud-planning
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build a cloud, SLO, and incident-readiness register after intake. Use when an SME needs monitoring scope, alert ownership, cost limits, or service planning. - orchestrate-batch-refactor
Dimillian/Skills · score 79/100 (grade C)
Plan and execute large refactor or rewrite efforts efficiently with parallel multi-agent analysis and implementation. Use when a user asks to refactor many files, split workstreams, analyze a target code area, and coordinate sub-agents with clear ownership and dependency-aware execution. - parallel-web
K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Uses Parallel CLI for web search, URL extraction, deep research, structured data enrichment, entity discovery, and recurring web monitoring. Best for requests that explicitly need current web evidence, academic-source discovery, repeated entity lookups, exhaustive reports, or ongoing change tracking. - polars
K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
High-performance DataFrame library for Python ETL, analytics, and pandas migration. It supports expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution. - polars
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Expression-based DataFrame library for Python and Rust. Use for eager or lazy tabular analytics, ETL, and pandas migration; streaming support and memory needs depend on the query. - project-brief
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Project Detail Optimizer. Use when working with one sentence, rough notes or an existing project brief. - pysam
K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Provides Python/HTSlib workflows for genomic files. Used when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references. - quarkus-verification
affaan-m/ECC · score 79/100 (grade C)
Verification loop for Quarkus projects: build, static analysis (Checkstyle, PMD, SpotBugs), tests with JaCoCo coverage, OWASP dependency and container security scans, GraalVM native compilation, health checks, and config validation. Use when verifying a Quarkus service before a PR, after major refactoring or dependency upgrades, or pre-deploy. - quarkus-verification
affaan-m/everything-claude-code · score 79/100 (grade C)
Verification loop for Quarkus projects: build, static analysis (Checkstyle, PMD, SpotBugs), tests with JaCoCo coverage, OWASP dependency and container security scans, GraalVM native compilation, health checks, and config validation. Use when verifying a Quarkus service before a PR, after major refactoring or dependency upgrades, or pre-deploy. - realtime
elevenlabs/skills · score 79/100 (grade C)
Use ElevenLabs Realtime models (`eleven_realtime_v1_mini`, `eleven_realtime_v1_max`), the low-latency models built for voice conversation. Use when the user wants to create an ElevenAgents agent on a Realtime model or switch an existing agent's Voice mode to Realtime, set `conversation_config.realtime_model`, choose between Realtime Mini and Max, or debug a Realtime agent that won't publish or transfer. Also use when migrating a voice app built on OpenAI's Realtime API and SDK (`@openai/agents-realtime`, `gpt-realtime`) to the OpenAI-compatible ElevenLabs Realtime API, including the `client_secrets` mint, the WebSocket transport, and audio after leaving WebRTC (closes with 4001/4003, no audio). Not for choosing an agent's LLM or TTS model in Custom mode, Scribe realtime speech-to-text, or migrating Chat Completions or Responses API text calls. - reference-builder
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Creates exhaustive technical references and API documentation. Generates comprehensive parameter listings, configuration guides, and searchable reference materials. - resume-ats-optimizer
Paramchoudhary/ResumeSkills · score 79/100 (grade C)
Optimize resumes for Applicant Tracking Systems, check ATS compatibility, and analyze keyword match - scikit-learn
K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Supports machine learning in Python with scikit-learn. Applies when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices. - security-automation
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Automate security workflows and remediation. Build security pipelines, - self-eval
alirezarezvani/claude-skills · score 79/100 (grade C)
Honestly evaluate AI work quality using a two-axis scoring system. Use after completing a task, code review, or work session to get an unbiased assessment. Detects score inflation, forces devil's advocate reasoning, and persists scores across sessions. - semgrep-rule-creator
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections. - seo-authority-builder
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Analyzes content for E-E-A-T signals and suggests improvements to - seo-meta-optimizer
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Creates optimized meta titles, descriptions, and URL suggestions based on character limits and best practices. Generates compelling, keyword-rich metadata. Use PROACTIVELY for new content. - shellcheck-configuration
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Master ShellCheck static analysis configuration and usage for shell script quality. Use when setting up linting infrastructure, fixing code issues, or ensuring script portability. - skyvern-browser-automation
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
AI-powered browser automation — navigate sites, fill forms, extract structured data, log in with stored credentials, and build reusable workflows. - temporal-golang-pro
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Use when building durable distributed systems with Temporal Go SDK. Covers deterministic workflow rules, mTLS worker configs, and advanced patterns. - tokenwise
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Measurement-driven model router for Claude Code. Routes Haiku/Sonnet/Opus per task class, logs every routed task with real $ numbers, and A/B tests cheaper tiers before you trust the savings. - tool-design
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Build tools that agents can use effectively, including architectural reduction patterns. Use when creating new tools for agent systems, debugging tool-related failures or misuse, or optimizing existing tool sets for better agent performance. - torchdrug
K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Builds and troubleshoots TorchDrug 0.2.1 workflows for molecular graphs, property prediction, self-supervised pretraining, molecule generation, retrosynthesis, protein representation learning, and knowledge graph reasoning. Use when code imports torchdrug or needs its datasets, models, tasks, or Engine. - uiverify-triage-visual-changes
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Triage a UI Verify visual regression build from your coding agent over MCP: sort changed screenshots into regressions, intended changes and noise, then accept baselines. - unslop
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Post-process AI-generated text through the unslop CLI to strip AI writing patterns before publishing - verification-loop
affaan-m/ECC · score 79/100 (grade C)
Run a six-phase verification of a Claude Code session's work — build, type check, lint, tests with coverage, security grep, and diff review — then produce a PASS/FAIL verification report. Use when verifying work after completing a feature or refactor, before creating a PR, or when quality gates must pass. - verification-loop
affaan-m/everything-claude-code · score 79/100 (grade C)
Run a six-phase verification of a Claude Code session's work — build, type check, lint, tests with coverage, security grep, and diff review — then produce a PASS/FAIL verification report. Use when verifying work after completing a feature or refactor, before creating a PR, or when quality gates must pass. - vibecode-production-qa-validator
sickn33/antigravity-awesome-skills · score 79/100 (grade C)
13-phase production QA for fullstack Next.js apps: build verification, SEO tags, OG images, favicon, route regression, API auth, page speed, lazy load, vulnerability scan, UI/UX cards, error boundaries, database, secure rendering, and cleanup. - airflow-dag-patterns
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs. - andrej-karpathy
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. - api-endpoint-builder
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Builds reviewable REST API endpoint scaffolds with validation, error handling, authentication, and documentation. Follows best practices for security and scalability. - asc-xcode-build
rudrankriyam/app-store-connect-cli-skills · score 78/100 (grade C)
Build, archive, export, and manage Xcode version/build numbers with asc, including portable iOS compilation and packaging. Use when creating an IPA or PKG for App Store Connect, TestFlight, or registered-device release testing. - astro
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support. - astropy
K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy. - audit-agent-run-evidence
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Use when an agent, harness, gateway, MCP workflow, or multi-step automation claims completion and the available traces, checkpoints, approvals, tool calls, or deployment records must be judged without trusting self-reported success. - azure-ai-voicelive-dotnet
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Azure AI Voice Live SDK for .NET. Build real-time voice AI applications with bidirectional WebSocket communication. - azure-cosmos-rust
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Azure Cosmos DB SDK for Rust (NoSQL API). Use for document CRUD, queries, containers, and globally distributed data. - azure-eventhub-py
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Azure Event Hubs SDK for Python streaming. Use for high-throughput event ingestion, producers, consumers, and checkpointing. - azure-monitor-opentelemetry-py
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation. - azure-postgres-ts
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Connect to Azure Database for PostgreSQL Flexible Server from Node.js/TypeScript using the pg (node-postgres) package. - azure-storage-blob-ts
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Azure Blob Storage JavaScript/TypeScript SDK (@azure/storage-blob) for blob operations. Use for uploading, downloading, listing, and managing blobs and containers. - blockchain-developer
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Build production-ready Web3 applications, smart contracts, and decentralized systems. Implements DeFi protocols, NFT platforms, DAOs, and enterprise blockchain integrations. - bug-detective
Galaxy-Dawn/claude-scholar · score 78/100 (grade C)
This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns. - build
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Use when developing a major feature: research the project, create a phased implementation plan, track progress and verify phase outcomes before declaring completion. - build-evidence-map
github/awesome-copilot · score 78/100 (grade C)
Build an auditable evidence map for a contested technical choice, research synthesis, proposal review, or consequential decision. Use when Copilot must preserve supporting, contradicting, qualifying, and missing evidence with exact source regions instead of collapsing disagreement into prose. - code-review-and-quality
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch. - code-review-excellence
Galaxy-Dawn/claude-scholar · score 78/100 (grade C)
This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review. - create-implementation-plan
github/awesome-copilot · score 78/100 (grade C)
Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure. - crypto-bd-agent
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Reference patterns (upstream reports, not independently verified here) for building AI agents that autonomously discover, evaluate, and acquire token listings for cryptocurrency exchanges. - customer-success-manager
alirezarezvani/claude-skills · score 78/100 (grade C)
Monitors customer health, predicts churn risk, and identifies expansion opportunities using weighted scoring models for SaaS customer success. Use when analyzing customer accounts, reviewing retention metrics, scoring at-risk customers, or when the user mentions churn, customer health scores, upsell opportunities, expansion revenue, retention analysis, or customer analytics. Runs three Python CLI tools to produce deterministic health scores, churn risk tiers, and prioritized expansion recommendations across Enterprise, Mid-Market, and SMB segments. - dask
K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics. Use for partitioned file processing, scientific array computation, or parallel tasks whose memory and dependency structure require Dask. - debugger
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Debugging specialist for errors, test failures, and unexpected - deep-scrape
davidondrej/skills · score 78/100 (grade C)
Build sourced JSON dossiers on people, companies, or topics with DeepAPI. Use for profiles, prospects, vendor due diligence, or customer research across sources; use deep-research for recommendations. - dwarf-expert
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data. - error-debugging-multi-agent-review
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Review a defined code diff from relevant correctness, authorization and performance perspectives; delegate only when authorized and reproduce findings centrally. - eval-harness
affaan-m/ECC · score 78/100 (grade C)
Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k and pass^k reliability. Use when defining pass/fail criteria for agent tasks, measuring agent reliability, building regression suites for prompt or agent changes, or benchmarking across model versions. - eval-harness
affaan-m/everything-claude-code · score 78/100 (grade C)
Eval-driven development (EDD) framework for AI coding sessions — define capability and regression evals before coding, grade with code-based, model-based, rule, or human graders, and track pass@k and pass^k reliability. Use when defining pass/fail criteria for agent tasks, measuring agent reliability, building regression suites for prompt or agent changes, or benchmarking across model versions. - expo-observe
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Set up and query EAS Observe for Expo apps, including root integration, interactive markers, route metrics, CLI summaries, traces, logs, and performance diagnosis. - extract
alirezarezvani/claude-skills · score 78/100 (grade C)
Turn a proven pattern or debugging solution into a standalone reusable skill with SKILL.md, reference docs, and examples. Use when the user runs /si:extract or asks to package a recurring solution from memory into a skill. - frontend-design-direction
affaan-m/ECC · score 78/100 (grade C)
Set an ECC-specific frontend design direction for production UI work. Use when building or improving websites, dashboards, applications, components, landing pages, visual tools, or any web UI that needs stronger product-specific design judgment. - frontend-design-direction
affaan-m/everything-claude-code · score 78/100 (grade C)
Set an ECC-specific frontend design direction for production UI work. Use when building or improving websites, dashboards, applications, components, landing pages, visual tools, or any web UI that needs stronger product-specific design judgment. - git-hooks-automation
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Master Git hooks setup with Husky, lint-staged, pre-commit framework, and commitlint. Automate code quality gates, formatting, linting, and commit message enforcement before code reaches CI. - github-codespaces-efficiency
github/awesome-copilot · score 78/100 (grade C)
Audit and improve GitHub Codespaces efficiency. Use this skill when a user wants faster Codespaces startup, lower Codespaces spend, slim devcontainers, right-size machines, tune idle timeout, or scope prebuilds to branches with sustained usage. - gitlab-ci-patterns
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Comprehensive GitLab CI/CD pipeline patterns for automated testing, building, and deployment. - hosted-agents
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Build background agents in sandboxed environments. Use for hosted coding agents, sandboxed VMs, Modal sandboxes, and remote coding environments. - impediment-prioritization
github/awesome-copilot · score 78/100 (grade C)
Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritization formula. Use when someone asks to prioritize, rank, sequence, or triage impediments, countermeasures, remediation items, risks, findings, gaps, action items, or backlog entries; or mentions value-stream prioritization, A3 / lean countermeasure ranking, ROI vs. effort scoring, or building a remediation / improvement backlog. Works with GHQR findings, audit results, retrospective action items, risk registers, architecture review gaps, or any free-form `{impediment, countermeasure}` list. - internal-linking-optimizer
Affitor/affiliate-skills · score 78/100 (grade C)
Analyze site's internal link structure and optimize for hub-and-spoke SEO architecture. Triggers on: "optimize internal links", "internal linking", "link structure", "hub and spoke links", "orphan pages", "link equity", "internal link audit", "fix my internal links", "link architecture", "site structure optimization", "internal linking strategy", "link flow", "improve site structure", "find orphan pages", "maximize link equity", "internal link map". - kaizen
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Guide for continuous improvement, error proofing, and standardization. Use this skill when the user wants to improve code quality, refactor, or discuss process improvements. - logic-lens
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
AI-powered Claude Code skill that performs deep code review using formal logic and reasoning frameworks to detect bugs, anti-patterns, and security risks beyond what linters catch. - macos-menubar-tuist-app
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Build, refactor, or review SwiftUI macOS menubar apps that use Tuist. - matplotlib
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Matplotlib is Python's foundational visualization library for creating static, animated, and interactive plots. - mcp-tool-developer
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Build Model Context Protocol (MCP) servers and tools from scratch. Full-stack MCP development with TypeScript/Python, testing, deployment, and registry publishing. - n8n-code-javascript
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Write JavaScript code in n8n Code nodes. Use when writing JavaScript in n8n, using $input/$json/$node syntax, selecting the HTTP Request node for network access, working with dates using DateTime, troubleshooting Code node errors, or choosing between Code node modes. - n8n-subworkflows
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Build reusable n8n sub-workflows with typed inputs, all-vs-each execution, discoverable naming, and agent-tool exposure. - orchestrate-batch-refactor
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Plan and execute large refactors with dependency-aware work packets and parallel analysis. - playwright-java
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Scaffold, write, debug, and enhance enterprise-grade Playwright E2E tests in Java using Page Object Model, JUnit 5, Allure reporting, and parallel execution. - postgresql-cli
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
PostgreSQL interactive terminal (psql) reference and usage guide. - programmatic-seo
alirezarezvani/claude-skills · score 78/100 (grade C)
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit. - pyhealth
K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
Builds and validates PyHealth clinical machine-learning pipelines for EHR, signals, imaging, and medical codes. Use for PyHealth dataset loading, MIMIC-III/IV, eICU or OMOP prediction tasks, patient-level evaluation, mortality/readmission/length-of-stay modeling, medication recommendation, sleep staging, Trainer checkpoints, and ICD/ATC/NDC/RxNorm mapping. - research-finance
alirezarezvani/claude-skills · score 78/100 (grade C)
Use when managing the money for an internal R&D program or portfolio — building a multi-period program budget with the F&A (indirect) split, tracking burn rate and runway against value-inflection milestones, or routing R&D cost items to a capitalize-vs-expense determination. Every budget output surfaces its assumptions block; capitalize-vs-expense is decision-support only and routes to a named finance owner — it never books an entry or decides accounting treatment. Distinct from finance/financial-analysis (corporate DCF, close, valuation) and research/grants (funding discovery — this manages money already won). - seo-technical
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Audit technical SEO across crawlability, indexability, security, URLs, mobile, Core Web Vitals, structured data, JavaScript rendering, and related platform signals like robots.txt and AI crawler access. - skill-creator
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Create and review reusable skill drafts with bundled Python scaffolding, basic frontmatter validation and ZIP packaging helpers. Use for skill authoring and packaging; verify target-host requirements separately. - startup-financial-modeling
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Build comprehensive 3-5 year financial models with revenue projections, cost structures, cash flow analysis, and scenario planning for early-stage startups. - swiftui-view-refactor
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Refactor SwiftUI views into smaller components with stable, explicit data flow. - sympy
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
SymPy is a Python library for symbolic mathematics that enables exact computation using mathematical symbols rather than numerical approximations. - temporal-python-testing
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Comprehensive testing approaches for Temporal workflows using pytest, progressive disclosure resources for specific testing scenarios. - typescript-advanced-types
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Comprehensive guidance for mastering TypeScript's advanced type system including generics, conditional types, mapped types, template literal types, and utility types for building robust, type-safe applications. - uncertainty-and-units
K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
Tracks physical units and propagates measurement uncertainty in scientific calculations using pint and uncertainties. Use for unit conversion and dimensional checking, GUM uncertainty budgets, Type A and Type B evaluation, coverage factors and expanded uncertainty, Monte Carlo propagation, significant-figure and plus-minus reporting, error propagation through curve fits, CODATA constants, auditing Python code for stripped units or broken uncertainty propagation, and order-of-magnitude plausibility checks using dimensionless groups (Reynolds, Peclet, Damkohler, Knudsen, Biot, Womersley), characteristic scales such as diffusion time or Debye length, and observed magnitude ranges. Trigger on "is this number physically reasonable", "sanity check these units", "what regime is this flow in", or a result that looks off by orders of magnitude. - vexor-cli
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Semantic file discovery via `vexor`. Use whenever locating where something is implemented/loaded/defined in a medium or large repo, or when the file location is unclear. Prefer this over manual browsing. - yeet
openai/skills · score 78/100 (grade C)
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`). - zarr-python
K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
Stores and queries chunked N-D scientific arrays with Zarr-Python 3, including codecs, sharding, S3/GCS storage, and NumPy/Dask/Xarray integration. Use for array layout, bounded I/O, format migration, or scientific metadata preservation. - zeroize-audit
sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Detects missing zeroization of sensitive data in source code and identifies zeroization removed by compiler optimizations, with assembly-level analysis, and control-flow verification. Use for auditing C/C++/Rust code handling secrets, keys, passwords, or other sensitive data. - ai-native-cli
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Design spec with 98 rules for building CLI tools that AI agents can safely use. Covers structured JSON output, error handling, input contracts, safety guardrails, exit codes, and agent self-description. - alphagenome
K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
Looks up precomputed AlphaGenome Atlas effects for any GRCh38 single-nucleotide variant (AVI score with Phred and 18 SHAP feature attributions, plus raw and quantile scores for RNA-seq, DNase, ATAC, ChIP-TF, ChIP-histone, CAGE, PRO-cap, splicing, polyadenylation and contact-map tracks), scores variants or scans windows on demand with the AlphaGenome model for human and mouse (variant scoring, in silico mutagenesis, REF-versus-ALT track prediction), and builds Atlas website deep links. Use when the user mentions AlphaGenome, AlphaGenome Atlas, AVI or AlphaGenome Variant Impact, DeepMind variant effect prediction, or wants to prioritise or mechanistically interpret non-coding, regulatory, splicing, enhancer, promoter, or chromatin-accessibility effects of SNVs from a VCF, credible set, or region. Research use only; not a clinical tool. - angular-developer
affaan-m/ECC · score 77/100 (grade C)
Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling. - angular-developer
affaan-m/everything-claude-code · score 77/100 (grade C)
Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling. - api-test-suite-builder
alirezarezvani/claude-skills · score 77/100 (grade C)
Use when the user asks to generate API tests, create integration test suites, test REST endpoints, or build contract tests. - applicationinsights-web-ts
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Instrument browser/web apps with the Application Insights JavaScript SDK (@microsoft/applicationinsights-web). - aws-cdk-python-setup
github/awesome-copilot · score 77/100 (grade C)
Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS. - azure-ai-contentsafety-java
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build content moderation applications using the Azure AI Content Safety SDK for Java. - azure-ai-contentsafety-py
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification. - azure-ai-contentunderstanding-py
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Azure AI Content Understanding SDK for Python. Use for multimodal content extraction from documents, images, audio, and video. - azure-ai-formrecognizer-java
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build document analysis applications using the Azure AI Document Intelligence SDK for Java. - azure-containerregistry-py
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Azure Container Registry SDK for Python. Use for managing container images, artifacts, and repositories. - azure-data-tables-java
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build table storage applications using the Azure Tables SDK for Java. Works with both Azure Table Storage and Cosmos DB Table API. - azure-mgmt-apimanagement-py
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Azure API Management SDK for Python. Use for managing APIM services, APIs, products, subscriptions, and policies. - azure-servicebus-py
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Azure Service Bus SDK for Python messaging. Use for queues, topics, subscriptions, and enterprise messaging patterns. - benchmark-methodology
affaan-m/ECC · score 77/100 (grade C)
Score a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client tension) with 1-5 evidence-anchored rubrics and a tension 2x2 plot. Use when benchmarking or scoring competitors, building a competitive comparison matrix, or grading rival positioning before assembling the report; runs after competitive-platform-analysis and before competitive-report-structure. - benchmark-methodology
affaan-m/everything-claude-code · score 77/100 (grade C)
Score a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client tension) with 1-5 evidence-anchored rubrics and a tension 2x2 plot. Use when benchmarking or scoring competitors, building a competitive comparison matrix, or grading rival positioning before assembling the report; runs after competitive-platform-analysis and before competitive-report-structure. - biopython
K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
Provides Biopython workflows for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Supports batch processing, custom molecular-biology pipelines, BLAST automation, structure analysis, and motif analysis. - business-website-setup
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Website page register: URL, title, meta description, search intent, NAP block, schema type, canonical, indexability and Core Web Vitals target. Use for site builds and SEO reviews. - canonical-url-builder
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Canonical URL Builder. Use when working with preferred page URL and duplicate URL variants. - chro-advisor
alirezarezvani/claude-skills · score 77/100 (grade C)
People leadership for scaling companies. Hiring strategy, compensation design, org structure, culture, and retention. Use when building hiring plans, designing comp frameworks, restructuring teams, managing performance, building culture, or when user mentions CHRO, HR, people strategy, talent, headcount, compensation, org design, retention, or performance management. - ci-cd-pipeline-builder
alirezarezvani/claude-skills · score 77/100 (grade C)
Generate pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos. - ciso-advisor
alirezarezvani/claude-skills · score 77/100 (grade C)
Security leadership for growth-stage companies. Risk quantification in dollars, compliance roadmap (SOC 2/ISO 27001/HIPAA/GDPR), security architecture strategy, incident response leadership, and board-level security reporting. Use when building security programs, justifying security budget, selecting compliance frameworks, managing incidents, assessing vendor risk, or when user mentions CISO, security strategy, compliance roadmap, zero trust, or board security reporting. - claude-delegate
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Delegate coding tasks to a separate Claude Code CLI process or Claude - code-of-conduct
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build a human-reviewed conduct register after context-first intake. Use when an SME needs policy acknowledgements, complaint handling, and breach follow-up. - code-refactoring-tech-debt
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Identify technical debt from actual code and change history, estimate its impact, and prioritize bounded improvements with explicit assumptions. - code-showcase-systematic-debugging
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Four-phase debugging methodology with root cause analysis. Use when investigating bugs, fixing test failures, or troubleshooting unexpected behavior. Emphasizes NO FIXES WITHOUT ROOT CAUSE FIRST. - codehealth-mcp
affaan-m/ECC · score 77/100 (grade C)
Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR. - codehealth-mcp
affaan-m/everything-claude-code · score 77/100 (grade C)
Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR. - community-building
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
When the user wants to build, grow, or improve a developer community on Discord, Slack, or forums. - copilot-sdk
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build applications that programmatically interact with GitHub Copilot. The SDK wraps the Copilot CLI via JSON-RPC, providing session management, custom tools, hooks, MCP server integration, and streaming across Node.js, Python, Go, and .NET. - dbos-typescript
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Guide for building reliable, fault-tolerant TypeScript applications with DBOS durable workflows. Use when adding DBOS to existing TypeScript code, creating workflows and steps, or using queues for concurrency control. - debug-buttercup
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
All pods run in namespace crs. Use when pods in the crs namespace are in CrashLoopBackOff, OOMKilled, or restarting, multiple services restart simultaneously (cascade failure), or redis is unresponsive or showing AOF warnings. - deepread
alirezarezvani/claude-skills · score 77/100 (grade C)
Use when the user asks to deeply read a book, article, PDF, or document set; extract claims and evidence; build a knowledge map; or learn through Feynman explanation and recall. Covers quick, deep, map, Feynman, and whole-book reading modes. - developing-genkit-dart
google/skills · score 77/100 (grade C)
Generates code and provides documentation for the Genkit Dart SDK. Use when the user asks to build AI agents in Dart, use Genkit flows, or integrate LLMs into Dart/Flutter applications. - docker-development
alirezarezvani/claude-skills · score 77/100 (grade C)
Docker and container development agent skill and plugin for Dockerfile optimization, docker-compose orchestration, multi-stage builds, and container security hardening. Use when: user wants to optimize a Dockerfile, create or improve docker-compose configurations, implement multi-stage builds, audit container security, reduce image size, or follow container best practices. Covers build performance, layer caching, secret management, and production-ready container patterns. - drizzle-orm-expert
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Expert in Drizzle ORM for TypeScript — schema design, relational queries, migrations, and serverless database integration. Use when building type-safe database layers with Drizzle. - earllm-build
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build, maintain, and extend the EarLLM One Android project — a Kotlin/Compose app that connects Bluetooth earbuds to an LLM via voice pipeline. - energy-procurement
affaan-m/ECC · score 77/100 (grade C)
Procure electricity and natural gas for commercial and industrial facilities: tariff and rate-schedule optimization, demand-charge mitigation, supplier RFPs, fixed/index/block-and-index hedging, renewable PPA and REC evaluation, and sustainability reporting. Use when procuring energy, optimizing utility tariffs, managing demand charges, evaluating PPAs, or building energy budgets and hedge strategies. - energy-procurement
affaan-m/everything-claude-code · score 77/100 (grade C)
Procure electricity and natural gas for commercial and industrial facilities: tariff and rate-schedule optimization, demand-charge mitigation, supplier RFPs, fixed/index/block-and-index hedging, renewable PPA and REC evaluation, and sustainability reporting. Use when procuring energy, optimizing utility tariffs, managing demand charges, evaluating PPAs, or building energy budgets and hedge strategies. - env-secrets-manager
alirezarezvani/claude-skills · score 77/100 (grade C)
Manage environment-variable hygiene and secrets safety across local development and production. Practical auditing, drift awareness, rotation readiness. Use when auditing .env files for committed secrets, planning a credential rotation, debugging missing-env-var production incidents, or hardening a new project against secrets leakage. - frontend-ui-engineering
addyosmani/agent-skills · score 77/100 (grade C)
Builds production-quality, accessible, responsive user-facing UIs. Use when building or modifying interfaces and pages, creating components, implementing layouts, meeting WCAG accessibility requirements, managing state, or when the output needs to look and feel production-quality rather than AI-generated. - geomaster
K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
Supports geospatial research workflows for remote sensing, vector and raster GIS, spatial statistics, terrain and network analysis, and machine learning for Earth observation. Use when processing satellite imagery, aligning coordinate systems and raster grids, accessing STAC catalogs, analyzing geospatial time series, or implementing scientific GIS workflows in Python, R, Julia, JavaScript, C++, Java, Go, or Rust. - github-workflow-automation
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Patterns for automating GitHub workflows with AI assistance, inspired by [Gemini CLI](https://github.com/google-gemini/gemini-cli) and modern DevOps practices. - google-workspace-cli
alirezarezvani/claude-skills · score 77/100 (grade C)
Google Workspace administration via the gws CLI (github.com/googleworkspace/cli). Install, authenticate, and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. Run security audits and use local recipe templates and persona bundles. Use for Google Workspace admin, gws CLI setup, Gmail automation, Drive management, or Calendar scheduling. - hugging-face-gradio
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots. - import-infrastructure-as-code
github/awesome-copilot · score 77/100 (grade C)
Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type. - instructree
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Map, explain, and lint repository-scoped coding-agent instructions before changing code. - ios-clean
garrytan/gstack · score 77/100 (grade C)
Remove the DebugBridge SPM package and all #if DEBUG wiring from an iOS app. (gstack) - langsmith-fetch
ComposioHQ/awesome-claude-skills · score 77/100 (grade C)
Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed. - lightning-architecture-review
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Review Bitcoin Lightning Network protocol designs, compare channel factory approaches, and analyze Layer 2 scaling tradeoffs. Covers trust models, on-chain footprint, consensus requirements, HTLC/PTLC compatibility, liveness, and watchtower support. - llm-prompt-optimizer
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage. - m365-agents-py
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Microsoft 365 Agents SDK for Python. Build multichannel agents for Teams/M365/Copilot Studio with aiohttp hosting, AgentApplication routing, streaming responses, and MSAL-based auth. - makepad-2-0-animation
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Makepad 2.0 guidance for animation; use when building or debugging Makepad UI code. - memory-systems
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Design short-term, long-term, and graph-based memory architectures. Use when building agents that must persist across sessions, needing to maintain entity consistency across conversations, or implementing reasoning over accumulated knowledge. - networkx
K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
Creates, analyzes, and visualizes complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks. - paragraph-keyword-optimizer
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Paragraph Keyword Optimizer. Use when working with paragraph and target keyword. - plugin-audit
alirezarezvani/claude-skills · score 77/100 (grade C)
Comprehensive audit pipeline for skills, plugins, agents, and commands. Validates structure, quality, security, marketplace compliance, cross-platform compatibility, and ecosystem integration. Runs all built-in validation tools, invokes domain-appropriate agents for code review, and produces a pass/fail gate report. Usage: /plugin-audit <skill-path> - power-user-cultivation
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
When the user wants to identify and nurture developer advocates, build champion programs, or turn active users into contributors and evangelists. - projection-patterns
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build read models and projections from event streams. Use when implementing CQRS read sides, building materialized views, or optimizing query performance in event-sourced systems. - react-flow-architect
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build production-ready ReactFlow applications with hierarchical navigation, performance optimization, and advanced state management. - refactor
github/awesome-copilot · score 77/100 (grade C)
Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements. - research-summarizer
alirezarezvani/claude-skills · score 77/100 (grade C)
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw. - rust-testing
affaan-m/ECC · score 77/100 (grade C)
Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology. Use when writing Rust tests — unit, integration, async, property-based, or coverage. - rust-testing
affaan-m/everything-claude-code · score 77/100 (grade C)
Rust testing patterns including unit tests, integration tests, async testing, property-based testing, mocking, and coverage. Follows TDD methodology. Use when writing Rust tests — unit, integration, async, property-based, or coverage. - senior-frontend
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality. - slack-bot-builder
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build Slack apps using the Bolt framework across Python, - spark-optimization
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines. - systematic-debugging
obra/superpowers · score 77/100 (grade C)
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - tdd-workflows-tdd-refactor
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Use when working with tdd workflows tdd refactor - telegram-bot-builder
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Expert in building Telegram bots that solve real problems - from - the-honoured-one
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Forces the AI to fully load context and read relevant files before performing complex, multi-file tasks, architectural changes, or debugging. Prevents acting on assumptions. - trl-training
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Reward Model training via CLI commands. - unit-test-vue-pinia
github/awesome-copilot · score 77/100 (grade C)
Write and review unit tests for Vue 3 + TypeScript + Vitest + Pinia codebases. Use when creating or updating tests for components, composables, and stores; mocking Pinia with createTestingPinia; applying Vue Test Utils patterns; and enforcing black-box assertions over implementation details. - unity-developer
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Build Unity games with optimized C# scripts, efficient rendering, and proper asset management. Masters Unity 6 LTS, URP/HDRP pipelines, and cross-platform deployment. - waypoint-bio
K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
Supports work with Outpost Bio's open microbiome foundation models - the Waypoint checkpoints (Waypoint-6m, Waypoint-45m, Waypoint-170m), the Atlas pretraining corpus, the Compass eight-task benchmark, or the `waypoint` CLI from the `waypoint-bio` package. Covers embedding microbiome samples, fine-tuning on taxonomic abundance data, benchmarking a checkpoint on Compass, pretraining a GPT-2 model on taxonomic abundance profiles, and converting MetaPhlAn, Kraken2, QIIME 2, or MGnify abundance tables into waypoint format. - webapp-testing
github/awesome-copilot · score 77/100 (grade C)
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. - wiki-builder
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Create and maintain reusable research wikis with source provenance, configurable structure, and local markdown outputs. - workflow-builder
alirezarezvani/claude-skills · score 77/100 (grade C)
Design and write deterministic multi-agent workflow scripts (.js files in .claude/workflows/) for Claude Code's Workflow tool. Use when a user wants to build, create, author, scaffold, or run a custom Claude Code workflow, orchestrate sub-agents (fan-out, pipeline, loop, judge-panel), or automate a repeatable multi-step task across fresh-context agents. - wp-site-health-auditor
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Turns a WordPress Site Health report into a risk-tiered, backup-first fix plan with exact WP-CLI/PHP snippets. Use for site health, recommended improvements, or critical issue reports. - x-twitter-scraper
github/awesome-copilot · score 77/100 (grade C)
Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, hosted Apify Actor runs, MCP tools, TweetClaw OpenClaw plugin installs, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation. - youtube-seo-optimizer
sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Generate complete YouTube & podcast SEO packages with live-researched keywords — titles, descriptions, tags, hashtags, chapters, and audit fixes. Use for new or underperforming content. - agent-manager-skill
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) in an explicitly authorized workspace. - ai-engineering-toolkit
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Overview of six AI engineering workflows: prompt evaluation (8-dimension scoring), context budget planning, RAG pipeline design, agent security audit (65-point checklist), eval harness building, and product sense coaching. - antithesis-debug
antithesishq/antithesis-skills · score 76/100 (grade C)
Run a bash script inside an Antithesis run at a chosen moment with `snouty runs exec`, from the terminal and without a browser. Use it for scripted forensics on a run: process and container inspection, on-disk evidence, gdb attach, and general debugging. Covers command usage, the live-session requirement, common workflows and errors, and how virtual time and perturbation limit what a debugger can see. - antithesis-setup
antithesishq/antithesis-skills · score 76/100 (grade C)
Scaffold the Antithesis harness with docker-compose: initialize the working directory, write Dockerfiles and docker-compose.yaml with build directives, and prepare to submit your first Antithesis test run. If the desired setup is Kubernetes, defer to the antithesis-setup-k8s skill. - application-integration-troubleshooting
google/skills · score 76/100 (grade C)
Diagnoses failed, stuck, or silent Google Cloud Application Integration runs and Integration Connectors tasks using the REST API, Cloud Logging, and Cloud Monitoring. Use when an integration fails, returns HTTP 200 without doing the expected work, hangs in a suspended or retry state, or hits IAM, run-as service account, connector health, or quota errors. Do not use for initial region provisioning (use application-integration-basics) or building and deploying versions (use application-integration-authoring). - arize-dataset
github/awesome-copilot · score 76/100 (grade C)
Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set. - atlassian-templates
alirezarezvani/claude-skills · score 76/100 (grade C)
Atlassian Template and Files Creator/Modifier expert for creating, modifying, and managing Jira and Confluence templates, blueprints, custom layouts, reusable components, and standardized content structures. Use when building org-wide templates, custom blueprints, page layouts, and automated content generation. - attack-tree-construction
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders. - audit-context-building
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding. - autonomous-agent-patterns
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Design patterns for building autonomous coding agents, inspired by [Cline](https://github.com/cline/cline) and [OpenAI Codex](https://github.com/openai/codex). - aws-cost-optimizer
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Comprehensive AWS cost analysis and optimization recommendations using AWS CLI and Cost Explorer - azure-ai-anomalydetector-java
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring. - azure-ai-language-conversations-py
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications. - azure-ai-transcription-py
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Azure AI Transcription SDK for Python. Use for audio-file transcription with timestamps; distinguish this client from streaming and asynchronous batch Speech APIs. - azure-ai-voicelive-py
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build real-time voice AI applications with bidirectional WebSocket communication. - azure-cosmos-db-py
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build production-grade Azure Cosmos DB NoSQL services following clean code, security best practices, and TDD principles. - azure-eventhub-java
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build real-time streaming applications with Azure Event Hubs SDK for Java. Use when implementing event streaming, high-throughput data ingestion, or building event-driven architectures. - azure-eventhub-rust
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Azure Event Hubs SDK for Rust. Use for sending and receiving events, streaming data ingestion. - azure-identity-rust
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Azure Identity SDK for Rust authentication. Use for DeveloperToolsCredential, ManagedIdentityCredential, ClientSecretCredential, and token-based authentication. - azure-keyvault-keys-rust
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Azure Key Vault Keys SDK for Rust. Use for creating, managing, and using cryptographic keys. Triggers: "keyvault keys rust", "KeyClient rust", "create key rust", "encrypt rust", "sign rust". - azure-keyvault-secrets-rust
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Azure Key Vault Secrets SDK for Rust. Use for storing and retrieving secrets, passwords, and API keys. Triggers: "keyvault secrets rust", "SecretClient rust", "get secret rust", "set secret rust". - azure-logic-apps-standard-cli
github/awesome-copilot · score 76/100 (grade C)
Create, inspect, validate, test, run, debug, package, and deploy Azure Logic Apps Standard projects using the Azure CLI logicapp extension. Use for Standard workflow authoring, optional workspaces, connector discovery, identity-based connections, local runtimes, native workflow tests, and approved cloud lifecycle operations. Not for Consumption-only workflow development. - azure-monitor-query-py
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Azure Monitor Query SDK for Python. Use for querying Log Analytics workspaces and Azure Monitor metrics. - behavioral-modes
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
AI operational modes (brainstorm, implement, debug, review, teach, ship, orchestrate). Use to adapt behavior based on task type. - brand-growth-system-builder
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Route requests across 13 brand and growth modules. Use when an SME needs help choosing branding, website, local SEO, content, or cloud-planning workflows. - brooks-review
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
PR code review that surfaces decay risks, design smells, and maintainability issues with concrete Symptom → Source → Consequence → Remedy findings, drawing on twelve classic engineering books. - chat-widget
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build a real-time support chat system with a floating widget for users and an admin dashboard for support staff. Use when the user wants live chat, customer support chat, real-time messaging, or in-app support. - chrome-devtools
github/awesome-copilot · score 76/100 (grade C)
Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance. - cmo-advisor
alirezarezvani/claude-skills · score 76/100 (grade C)
Marketing leadership for scaling companies. Brand positioning, growth model design, marketing budget allocation, and marketing org design. Use when designing brand strategy, selecting growth models (PLG vs sales-led vs community-led), allocating marketing budgets, building marketing teams, or when user mentions CMO, brand strategy, growth model, CAC, LTV, channel mix, or marketing ROI. - core-components
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Core component library and design system patterns. Use when building UI, using design tokens, or working with the component library. - cs-workspace-admin
alirezarezvani/claude-skills · score 76/100 (grade C)
Google Workspace administration agent using the gws CLI. Orchestrates workspace setup, Gmail/Drive/Sheets/Calendar automation, security audits, and recipe execution. Spawn when users need Google Workspace automation, gws CLI help, or workspace administration. - culture-architect
alirezarezvani/claude-skills · score 76/100 (grade C)
Build, measure, and evolve company culture as operational behavior — not wall posters. Covers mission/vision/values workshops, values-to-behaviors translation, culture code creation, culture health assessment, and cultural rituals by stage. Use when building company values, assessing culture health, designing cultural rituals, creating culture codes, handling culture clashes, or when user mentions culture, values, culture debt, founder culture, or culture code. - defi-protocol-templates
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Implement DeFi protocols with educational templates for staking, AMMs, governance, and lending systems. Use when building decentralized finance applications or smart contract protocols. - developer-sandbox
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Design and build interactive playgrounds that let developers experience your product without commitment. This skill covers playground architecture, pre-populated examples, embedding strategies, gating decisions, and converting playground users to signups. - developing-genkit-js
google/skills · score 76/100 (grade C)
Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems. - devops-pipeline-builder
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Design and implement CI/CD pipelines, Docker configurations, deployment - engineering-advanced-skills
alirezarezvani/claude-skills · score 76/100 (grade C)
Index of 37 advanced engineering agent skills for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw. Use when browsing or choosing among the POWERFUL-tier engineering skills: agent design, RAG, MCP servers, CI/CD, database design, observability, security auditing, changelog/release automation, reliability (SLO/chaos/flags/operators), platform ops. - engineering-skills
alirezarezvani/claude-skills · score 76/100 (grade C)
Index of the engineering-team skills bundle for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw, and 6 more tools. Architecture, frontend, backend, QA, DevOps, security, AI/ML, data engineering, Playwright, Stripe, AWS, MS365 (stdlib-only Python tools). Use when browsing or choosing among engineering-team role skills — load only the one specialist SKILL.md you need, never bulk-load the bundle. - fix
alirezarezvani/claude-skills · score 76/100 (grade C)
Fix failing or flaky Playwright tests. Use when user says "fix test", "flaky test", "test failing", "debug test", "test broken", "test passes sometimes", or "intermittent failure". - flowstudio-power-automate-build
github/awesome-copilot · score 76/100 (grade C)
Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app - frontend-slides
zarazhangrui/frontend-slides · score 76/100 (grade C)
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices. - gh-fix-ci
openai/skills · score 76/100 (grade C)
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. - gstack-openclaw-investigate
garrytan/gstack · score 76/100 (grade C)
Use when asked to debug, fix a bug, investigate an error, or do root cause analysis, and when users report errors, stack traces, unexpected behavior, or say something stopped working. - java-add-graalvm-native-image-support
github/awesome-copilot · score 76/100 (grade C)
GraalVM Native Image skill for Spring Boot, Micronaut and plain Java: detects the build tool and framework, adds native image support, builds the executable, analyzes errors, and iterates until the native build succeeds and the binary runs correctly. For Quarkus projects it only dispatches to the quarkus-native-and-container skill. - java-debugging
github/awesome-copilot · score 76/100 (grade C)
Debug Java applications systematically: JDWP remote debugging, jdb, VS Code and IntelliJ attach, debugging Maven/Gradle tests, Spring Boot and Quarkus dev mode, containers, breakpoints/logpoints, and reading stack traces. Use when the user needs to find the cause of a Java bug, exception, wrong behavior, or failing test, or asks how to attach a debugger. - kubernetes-operator
alirezarezvani/claude-skills · score 76/100 (grade C)
Use when building a Kubernetes Operator — custom controllers that reconcile CRD state. Triggers on "build an operator", "CRD design", "reconcile loop", "controller-runtime", "kubebuilder", "operator-sdk", "metacontroller", "KOPF", "operator capability levels", or "custom resource". Ships CRD validator, reconcile-loop linter, and OperatorHub capability auditor (all stdlib Python), 4 references on the operator pattern + CRD design + reconcile patterns + tooling landscape, and a /operator-audit slash command. NOT a generic k8s skill — specifically the Operator pattern. - linkedin-cli
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Use when automating LinkedIn via CLI: fetch profiles, search people/companies, send messages, manage connections, create posts, and Sales Navigator. - litreview
alirezarezvani/claude-skills · score 76/100 (grade C)
Searches academic literature through free, keyless PubMed and OpenAlex APIs, optionally augments results with Consensus MCP when connected, builds a PICO, SPIDER, decomposition, or hybrid search plan, and produces a formatted Word research-orientation guide. Uses brief intake and post-reconnaissance checkpoints to confirm the framework, sub-areas, and depth (5, 10, or 20 queries) before spending the search budget. The output is a launching pad, not a finished review. Use when the user requests a literature review, starts a paper or literature-oriented research project, or needs structured research on a topic. Do NOT use for a single paper lookup or a quick paper list; use a plain PubMed, OpenAlex, or Consensus query instead. - m365-agents-ts
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Microsoft 365 Agents SDK for TypeScript/Node.js. - makepad-2-0-events
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Makepad 2.0 guidance for events; use when building or debugging Makepad UI code. - mantis-architecture
google/mantis · score 76/100 (grade C)
Synthesizes raw learnings and codebase analysis into an interlinked Markdown Knowledge Base (KB). Use at the beginning of a loop to build or update architecture.md, entities, and vulnerabilities. Don't use for generating threat models or formulating execution plans. - mcp-builder
anthropics/skills · score 76/100 (grade C)
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). - mentoring-juniors
github/awesome-copilot · score 76/100 (grade C)
Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I''m stuck", "Im stuck", "I''m confused", "Im confused", "I don''t understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn''t this work", "why does not this work", "I''m a beginner", "Im a beginner", "I''m learning", "Im learning", "I''m new to this", "Im new to this", "walk me through", "how does this work", "what''s wrong with my code", "what''s wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics. - mle-workflow
affaan-m/ECC · score 76/100 (grade C)
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks. - mle-workflow
affaan-m/everything-claude-code · score 76/100 (grade C)
Production machine-learning engineering workflow for data contracts, reproducible training, model evaluation, deployment, monitoring, and rollback. Use when building, reviewing, or hardening ML systems beyond one-off notebooks. - mmx-cli
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal. - nuget-manager
github/awesome-copilot · score 76/100 (grade C)
Manage NuGet packages in .NET projects/solutions. Use this skill when adding, removing, or updating NuGet package versions. It enforces using `dotnet` CLI for package management and provides strict procedures for direct file edits only when updating versions. - ontology-term-resolution
K-Dense-AI/claude-scientific-skills · score 76/100 (grade C)
Resolves free-text scientific labels to ontology term IDs and validates existing CURIEs against the EBI Ontology Lookup Service (OLS4). Also looks up prefixes in Bioregistry, resolves compact identifiers via Identifiers.org, maps lab shorthand with ZOOMA, and builds Ontobee term pages. Use whenever an ontology identifier must be produced or checked - annotating tissue, cell type, disease, phenotype, assay, chemical, organism, sex, or developmental stage fields; preparing metadata for GEO, ENA, BioSamples, CELLxGENE, HCA, or ISA-Tab submission; auditing a metadata table of term IDs; checking whether a term is obsolete and what replaced it; or deciding HPO vs HP. Triggers include "ontology term", "ontology ID", "CURIE", "controlled vocabulary", "UBERON", "CL:", "MONDO", "HPO", "EFO", "ChEBI", "NCBITaxon", "GO term", "PATO", "Zooma", "Bioregistry", "Identifiers.org", "Ontobee", "annotate this tissue/cell type/disease", and any request to emit or verify an identifier shaped like PREFIX:0001234. - optimize-for-gpu
K-Dense-AI/claude-scientific-skills · score 76/100 (grade C)
GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation, or file-I/O workloads; CuPy, cuDF, cuML, cuGraph, cuVS, cuCIM, KvikIO, Warp, Newton, Numba-CUDA, or RAFT questions; and profiling, memory-transfer, kernel, or multi-GPU bottlenecks. Also use when large data-parallel Python code is slow and GPU acceleration is a plausible option, even if the user does not name CUDA. - pipecat-friday-agent
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build a low-latency, Iron Man-inspired tactical voice assistant (F.R.I.D.A.Y.) using Pipecat, Gemini, and OpenAI. - popup-cro
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Create and optimize popups, modals, overlays, slide-ins, and banners to increase conversions without harming user experience or brand trust. - premium-3d-website
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Guidelines for building premium 3D websites, focusing on custom WebGL shaders, post-processing, physics-based interactions, smooth animations, preloaders, and device optimization. - prompt-governance
alirezarezvani/claude-skills · score 76/100 (grade C)
Use when managing prompts in production at scale: versioning prompts, running A/B tests on prompts, building prompt registries, preventing prompt regressions, or creating eval pipelines for production AI features. Triggers: 'manage prompts in production', 'prompt versioning', 'prompt regression', 'prompt A/B test', 'prompt registry', 'eval pipeline'. NOT for writing or improving individual prompts (use senior-prompt-engineer). NOT for RAG pipeline design (use rag-architect). NOT for LLM cost reduction (use llm-cost-optimizer). - python-performance-optimization
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance. - python-pptx-generator
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Generate complete Python scripts that build polished PowerPoint decks with python-pptx and real slide content. - pyzotero
K-Dense-AI/claude-scientific-skills · score 76/100 (grade C)
Manages Zotero reference libraries using the pyzotero Python client: retrieves, creates, updates, and deletes items, collections, tags, and attachments via the Zotero Web API v3 or local API. Applies when working with Zotero libraries programmatically, managing bibliographic references, exporting citations, searching library contents, uploading PDF attachments, or building research automation workflows that integrate with Zotero. - radare2
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Drive the radare2 CLI for binary reconnaissance, disassembly, analysis, function locating, export, and lightweight patching (r2/rabin2/rasm2/radiff2) without a GUI. - radix-ui-design-system
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build accessible design systems with Radix UI primitives. Headless component customization, theming strategies, and compound component patterns for production-grade UI libraries. - react-flow-node-ts
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Create React Flow node components following established patterns with proper TypeScript types and store integration. - react-ui-patterns
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Modern React UI patterns for loading states, error handling, and data fetching. Use when building UI components, handling async data, or managing UI states. - rowan
K-Dense-AI/claude-scientific-skills · score 76/100 (grade C)
Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure. - saas-mvp-launcher
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Use when planning or building a SaaS MVP from scratch. Provides a structured roadmap covering tech stack, architecture, auth, payments, and launch checklist. - saas-scaffolder
alirezarezvani/claude-skills · score 76/100 (grade C)
Generates complete, production-ready SaaS project boilerplate including authentication, database schemas, billing integration, API routes, and a working dashboard using Next.js 14+ App Router, TypeScript, Tailwind CSS, shadcn/ui, Drizzle ORM, and Stripe. Use when the user wants to create a new SaaS app, start a subscription-based web project, scaffold a Next.js application, or mentions terms like starter template, boilerplate, new project, or wiring up auth and payments. - sales-engineer
alirezarezvani/claude-skills · score 76/100 (grade C)
Analyzes RFP/RFI responses for coverage gaps, builds competitive feature comparison matrices, and plans proof-of-concept (POC) engagements for pre-sales engineering. Use when responding to RFPs, bids, or proposal requests; comparing product features against competitors; planning or scoring a customer POC or sales demo; preparing a technical proposal; or performing win/loss competitor analysis. Handles tasks described as 'RFP response', 'bid response', 'proposal response', 'competitor comparison', 'feature matrix', 'POC planning', 'sales demo prep', or 'pre-sales engineering'. - seaborn
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code. - sendblue-notify
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Text the user's phone when a long-running task, agent turn, or scheduled job finishes — via @sendblue/cli for outbound, optionally wired to a Claude Code Stop hook for automatic fire. - senior-frontend
alirezarezvani/claude-skills · score 76/100 (grade C)
Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality. - skill-tester
alirezarezvani/claude-skills · score 76/100 (grade C)
Validate, test, and score the quality of skills within the claude-skills ecosystem. Comprehensive meta-skill: structure validation, Python script testing (syntax + imports + runtime + output format), multi-dimensional quality scoring with letter grades and tier classification (BASIC/STANDARD/POWERFUL). Use when authoring a new skill, auditing existing skills for tier promotion, setting up pre-commit hooks for skill quality, or integrating skill QA into CI. - soc2-compliance
alirezarezvani/claude-skills · score 76/100 (grade C)
Use when the user asks to prepare for SOC 2 audits, map Trust Service Criteria, build control matrices, collect audit evidence, perform gap analysis, or assess SOC 2 Type I vs Type II readiness. - social-proof-architect
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Select and place genuine testimonials, case studies, and other proof when an audience needs evidence at specific trust barriers. - statsmodels
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods. - swift-concurrency
AvdLee/Swift-Concurrency-Agent-Skill · score 76/100 (grade C)
Diagnose Swift Concurrency issues, refactor callback-based code to async/await, and guide Swift 6 migration when working with tasks, actors, @MainActor, Sendable, data races, thread safety, or concurrency-related compiler and linter warnings. - swiftui-performance-audit
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Audit SwiftUI performance issues from code review and profiling evidence. - tdd-guide
alirezarezvani/claude-skills · score 76/100 (grade C)
Test-driven development skill for writing unit tests, generating test fixtures and mocks, analyzing coverage gaps, and guiding red-green-refactor workflows across Jest, Pytest, JUnit, Vitest, and Mocha. Use when the user asks to write tests, improve test coverage, practice TDD, generate mocks or stubs, or mentions testing frameworks like Jest, pytest, or JUnit. - transformers-js
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. - trpc-fullstack
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build end-to-end type-safe APIs with tRPC — routers, procedures, middleware, subscriptions, and Next.js/React integration patterns. - trust-calibrator
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Diagnose audience trust barriers and calibrate proof, certainty, and credibility signals when messaging overclaims or fails to reassure. - uncle-bob-craft
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Use when performing code review, writing or refactoring code, or discussing architecture; complements clean-code and does not replace project linter/formatter. - verification-loop
Galaxy-Dawn/claude-scholar · score 76/100 (grade C)
This skill should be used when the user asks to "verify code", "run verification", "check quality", "validate changes", or before creating a PR. Provides comprehensive verification including build, type check, lint, tests, security scan, and diff review. - voice-ai-engine-development
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Build real-time conversational AI voice engines using async worker pipelines, streaming transcription, LLM agents, and TTS synthesis with interrupt handling and multi-provider support - webapp-testing
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
To test local web applications, write native Python Playwright scripts. - webapp-testing
warpdotdev/oz-skills · score 76/100 (grade C)
Test local web applications with Playwright. Use when asked to verify frontend functionality, debug UI behavior, capture browser screenshots, or inspect browser logs. - whatsapp-cloud-api
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Integracao com WhatsApp Business Cloud API (Meta). Mensagens, templates, webhooks HMAC-SHA256, automacao de atendimento. Boilerplates Node.js e Python. - workflow-orchestration-patterns
sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Master workflow orchestration architecture with Temporal, covering fundamental design decisions, resilience patterns, and best practices for building reliable distributed systems. - accesslint-audit
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to a browser-MCP composition or HTML-string audits. - accesslint-scan
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Audit a live page for accessibility issues, locate each WCAG violation precisely, and return a selector-grounded fix worklist without editing. - accounting-audit-system-builder
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Routes an accounting or audit request to the right module skill, from software selection through monthly closing, asking only what is missing. Use for books of accounts or audit files. - address-github-comments
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI. - andreessen
alirezarezvani/claude-skills · score 75/100 (grade C)
Marc Andreessen-mode decision and productivity skill. A blunt, market-first operator that pressure-tests ideas, ventures, features, and career bets through Andreessen's actual frameworks — market dominates team and product; the only milestone that matters is product/market fit; bias to build over deliberate. Use when the user says 'andreessen', 'pmarca mode', 'should I build this', 'is there a market', 'are we at product/market fit', 'pmf check', 'pressure-test this idea', 'be brutal about this venture', 'market-first take', or wants a no-disclaimers, no-hedging, confidence-leveled verdict on whether something is worth pursuing. Also provides the 3x5-card + Anti-Todo personal productivity routine. Runs on a fixed anti-sycophancy operating prompt: leads with the strongest counterargument, never validates premises, uses explicit confidence levels, never apologizes for disagreeing. Not for polite brainstorming — this skill exists to tell you the market is dead when it is. - android-native-dev
MiniMax-AI/skills · score 75/100 (grade C)
Android native application development and UI design guide. Covers Material Design 3, Kotlin/Compose development, project configuration, accessibility, and build troubleshooting. Read this before Android native application development. - anti-reversing-techniques
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Analyze anti-debugging, obfuscation, and anti-tamper techniques during authorized binary analysis and reverse engineering. - api-connector-builder
affaan-m/ECC · score 75/100 (grade C)
Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture. - api-connector-builder
affaan-m/everything-claude-code · score 75/100 (grade C)
Build a new API connector or provider by matching the target repo's existing integration pattern exactly. Use when adding one more integration without inventing a second architecture. - api-documenter
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Master API documentation with OpenAPI 3.1, AI-powered tools, and modern developer experience practices. Create interactive docs, generate SDKs, and build comprehensive developer portals. - api-integration-architect
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Design, implement, debug, and optimize API integrations with expert-level - asc-cli-usage
rudrankriyam/app-store-connect-cli-skills · score 75/100 (grade C)
Guidance for using asc cli in this repo (flags, output formats, pagination, auth, and discovery). Use when asked to run or design asc commands or interact with App Store Connect via the CLI. - ask-copilot
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Use GitHub Copilot CLI in non-interactive mode to ask questions, review code, or generate snippets without manual interaction. - axiom
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
First-principles assumption auditor. Classifies each hidden assumption (fact / convention / belief / interest-driven), ranks by fragility × impact, and rebuilds conclusions from verified premises. Bilingual: auto-detects Chinese or English. - azure-ai-voicelive-ts
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure AI Voice Live SDK for JavaScript/TypeScript. Build real-time voice AI applications with bidirectional WebSocket communication. - azure-communication-callautomation-java
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Build server-side call automation workflows including IVR systems, call routing, recording, and AI-powered interactions. - azure-data-tables-py
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure Tables SDK for Python (Storage and Cosmos DB). Use for NoSQL key-value storage, entity CRUD, and batch operations. - azure-identity-py
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure Identity SDK for Python authentication. Use for DefaultAzureCredential, managed identity, service principals, and token caching. - azure-messaging-webpubsub-java
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Build real-time web applications with Azure Web PubSub SDK for Java. Use when implementing WebSocket-based messaging, live updates, chat applications, or server-to-client push notifications. - azure-mgmt-botservice-py
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure Bot Service Management SDK for Python. Use for creating, managing, and configuring Azure Bot Service resources. - azure-monitor-ingestion-py
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure Monitor Ingestion SDK for Python. Use for sending custom logs to Log Analytics workspace via Logs Ingestion API. - azure-search-documents-py
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets. - azure-speech-to-text-rest-py
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK. - azure-storage-file-datalake-py
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure Data Lake Storage Gen2 SDK for Python. Use for hierarchical file systems, big data analytics, and file/directory operations. - azure-storage-file-share-ts
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure File Share JavaScript/TypeScript SDK (@azure/storage-file-share) for SMB file share operations. - azure-storage-queue-ts
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues. - baoyu-url-to-markdown
JimLiu/baoyu-skills · score 75/100 (grade C)
Fetch any URL and convert to markdown using baoyu-fetch CLI (Chrome CDP with site-specific adapters). Built-in adapters for X/Twitter, YouTube transcripts, Hacker News threads, and generic pages via Defuddle. Handles login/CAPTCHA via interaction wait modes. Use when user wants to save a webpage as markdown. - bigquery-udfs
google/skills · score 75/100 (grade C)
Creates, deploys, and troubleshoots BigQuery User-Defined Functions (UDFs) and Remote Functions across SQL, JavaScript, Python, and Cloud Run endpoints. Use when writing custom scalar or aggregate functions in BigQuery, installing PyPI packages or Cloud Storage libraries in a Python or JavaScript UDF, or calling Google Cloud and external APIs from a Python UDF (WITH CONNECTION) or Remote Function. Don't use for standard BigQuery table/dataset CRUD (use bigquery-basics), DataFrames client workflows (use bigquery-bigframes), or BigQuery ML models (use bigquery-ai-ml). - bio-workflows-biomarker-pipeline
GPTomics/bioSkills · score 75/100 (grade C)
End-to-end biomarker discovery workflow from expression data to validated biomarker panels. Covers feature selection with Boruta/LASSO, leakage-safe cross-validation, calibration, and SHAP interpretation. Use when building and validating diagnostic or prognostic biomarker signatures from omics data. - browser-extension-builder
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Expert in building browser extensions that solve real problems - - browser-testing-with-devtools
addyosmani/agent-skills · score 75/100 (grade C)
Tests in real browsers via Chrome DevTools MCP. Use when building or debugging anything that runs in a browser. Use when you need to inspect the DOM, capture console errors, analyze network requests, profile performance, or verify visual output with real runtime data. Requires the chrome-devtools MCP server to be configured. - business-operations-skills
alirezarezvani/claude-skills · score 75/100 (grade C)
Use when running, diagnosing, or designing internal business operations — process documentation, vendor SLAs, capacity planning, internal comms, SOP/runbook authoring, procurement spend. Triggers on "BizOps review", "where's the bottleneck", "vendor health", "internal SOP", "all-hands deck", "spend categorization", "capacity for Q3", "process mapping". Forks context to route to one of six BizOps sub-skills (process-mapper, vendor-management, capacity-planner, internal-comms, knowledge-ops, procurement-optimizer) and returns a digest. Distinct from business-growth (external sales motion) and c-level-advisor (strategic, not operational). - cc-skill-coding-standards
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development. - claude-api
anthropics/skills · score 75/100 (grade C)
Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a one-liner" — whenever: the prompt names Claude/Anthropic in any form (Claude, Anthropic, Fable, Opus, Sonnet, Haiku, `anthropic`, `@anthropic-ai`, `claude-*`, `us.anthropic.*`, `[1m]`); the user asks about an LLM (pricing/model choice/limits/caching) — never answer from memory; OR the task is LLM-shaped with provider unstated (agent/MCP/tool-definition/multi-agent/RAG/LLM-judge/computer-use; generate/summarize/extract/classify/rewrite/converse over NL; debugging refusals/cutoffs/streaming/tool-calls/tokens). SKIP only when another provider is being worked on (overrides all triggers): OpenAI/GPT/Gemini/Llama/Mistral/Cohere/Ollama named in the query; OR `grep -rE 'openai|langchain_openai|google.generativeai|genai|mistralai|cohere|ollama'` over the project hits (run this grep FIRST if no provider named — don't Read the file). - code-review-checklist
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Comprehensive checklist for conducting thorough code reviews covering functionality, security, performance, and maintainability - code-review-sensei
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Expert code reviewer that catches bugs, security issues, performance - competitor-alternatives
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
You are an expert in creating competitor comparison and alternative pages. Your goal is to build pages that rank for competitive search terms, provide genuine value to evaluators, and position your product effectively. - dbos-python
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Guide for building reliable, fault-tolerant Python applications with DBOS durable workflows. Use when adding DBOS to existing Python code, creating workflows and steps, or using queues for concurrency control. - devops-troubleshooter
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Expert DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. - diagnosing-bugs
mattpocock/skills · score 75/100 (grade C)
Diagnosis loop for hard bugs and performance regressions. Use when the user says "diagnose"/"debug this", or reports something broken/throwing/failing/slow. - differential-review
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Security-focused code review for PRs, commits, and diffs. - dx-optimizer
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Developer Experience specialist. Improves tooling, setup, and workflows. Use for requested project setup or measured development friction; respect existing team conventions. - dynamic-workflow-mode
affaan-m/ECC · score 75/100 (grade C)
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses. Use when building a task-local harness, adding eval gates, or extracting a reusable skill from ad-hoc work. - dynamic-workflow-mode
affaan-m/everything-claude-code · score 75/100 (grade C)
Design task-local harnesses, eval gates, and reusable skill extraction for Claude dynamic workflow mode and other adaptive agent harnesses. Use when building a task-local harness, adding eval gates, or extracting a reusable skill from ad-hoc work. - efcore-d2-db-diagram
github/awesome-copilot · score 75/100 (grade C)
Generate D2 database diagrams from Entity Framework Core models. USE FOR: EF Core database diagram, Entity Framework Core ERD, DbContext diagram, C# entity relationship diagram, PostgreSQL schema visualization, generate .d2 file from EF Core entities, Fluent API mapping diagram, migrations-based database diagram, table relationships, owned types, many-to-many join tables, indexes and constraints. DO NOT USE FOR: runtime debugging, database migration execution, schema deployment, SQL performance tuning, or draw.io diagrams. - epic-design
alirezarezvani/claude-skills · score 75/100 (grade C)
Build immersive, cinematic 2.5D interactive websites using scroll storytelling, parallax depth, text animations, and premium scroll effects — no WebGL required. Use this skill for any web design task: landing pages, product sites, hero sections, scroll animations, parallax, sticky sections, section overlaps, floating products between sections, clip-path reveals, text that flies in from sides, words that light up on scroll, curtain drops, iris opens, card stacks, bleed typography, and any site that should feel cinematic or premium. Trigger on phrases like "make it feel alive", "Apple-style animation", "sections that overlap", "product rises between sections", "immersive", "scrollytelling", or any scroll-driven visual effect. Covers 45+ techniques across 8 categories. Always inspects, judges, and plans assets before coding. Use aggressively for ANY web design task. - fastapi-pro
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. - figma-implement-design
openai/skills · score 75/100 (grade C)
Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions "implement design", "generate code", "implement component", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`. - flowstudio-power-automate-debug
github/awesome-copilot · score 75/100 (grade C)
Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app - fp-refactor
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Comprehensive guide for refactoring imperative TypeScript code to fp-ts functional patterns - frontend-dev
MiniMax-AI/skills · score 75/100 (grade C)
Full-stack frontend development combining premium UI design, cinematic animations, AI-generated media assets, persuasive copywriting, and visual art. Builds complete, visually striking web pages with real media, advanced motion, and compelling copy. Use when: building landing pages, marketing sites, product pages, dashboards, generating media assets (image/video/audio/music), writing conversion copy, creating generative art, or implementing cinematic scroll animations. - gcloud
google/skills · score 75/100 (grade C)
Provides safety-critical validation, guardrails, and data reduction for gcloud CLI operations across Google Cloud Platform (GCP) services and infrastructure. Use when planning, generating, constructing, proposing, describing, or executing any gcloud CLI commands - including when answering questions about gcloud syntax, or formatting flags. Don't use when writing Google Cloud client library code or raw REST/gRPC API requests. - gcp-cloud-run
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Specialized skill for building production-ready serverless - gke-compute-classes
google/skills · score 75/100 (grade C)
Configures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation. - hono
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Build ultra-fast web APIs and full-stack apps with Hono — runs on Cloudflare Workers, Deno, Bun, Node.js, and any WinterCG-compatible runtime. - internal-narrative
alirezarezvani/claude-skills · score 75/100 (grade C)
Build and maintain one coherent company story across all audiences — employees, investors, customers, candidates, and partners. Detects narrative contradictions and ensures the same truth is framed for each audience's needs. Use when preparing investor updates, all-hands presentations, board communications, recruiting narratives, crisis communications, or when user mentions company narrative, messaging consistency, storytelling, all-hands, investor update, or crisis communication. - intl-expansion
alirezarezvani/claude-skills · score 75/100 (grade C)
International market expansion strategy. Market selection, entry modes, localization, regulatory compliance, and go-to-market by region. Use when expanding to new countries, evaluating international markets, planning localization, or building regional teams. - investigate
garrytan/gstack · score 75/100 (grade C)
Systematic debugging with root cause investigation. (gstack) - langgraph
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Expert in LangGraph - the production-grade framework for building - laravel-verification
affaan-m/ECC · score 75/100 (grade C)
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness. Use when verifying a Laravel project before merge or deploy — lint, static analysis, tests, coverage, security. - laravel-verification
affaan-m/everything-claude-code · score 75/100 (grade C)
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness. Use when verifying a Laravel project before merge or deploy — lint, static analysis, tests, coverage, security. - lint-and-validate
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Run configured lint and type checks, distinguish failures from checks that did not run, and report concrete validation results. - macos-menubar-tuist-app
Dimillian/Skills · score 75/100 (grade C)
Build, refactor, or review macOS menubar apps that use Tuist and SwiftUI. Use when creating or maintaining LSUIElement menubar utilities, defining Tuist targets/manifests, implementing model-client-store-view architecture, adding script-based launch flows, or validating reliable local build/run behavior without Xcode-first workflows. - mailtrap-email-integration
affaan-m/ECC · score 75/100 (grade C)
Guides agents through integrating transactional email sending via Mailtrap's Email API, including sandbox testing, domain verification, and API authentication. Use when implementing email-sending features, debugging delivery issues, or setting up safe dev/staging email testing. - mailtrap-email-integration
affaan-m/everything-claude-code · score 75/100 (grade C)
Guides agents through integrating transactional email sending via Mailtrap's Email API, including sandbox testing, domain verification, and API authentication. Use when implementing email-sending features, debugging delivery issues, or setting up safe dev/staging email testing. - mantis-critic
google/mantis · score 75/100 (grade C)
Assesses the production viability of findings, filtering out debug-only features and assertion traps. Use when findings have been validated and you need to confirm they are triggerable in production release builds (with assertions disabled). Don't use for writing reproduction scripts or patches. - markstream-custom-components
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Override Markstream node renderers and add trusted custom tags across Vue, React, Svelte, and Angular using scoped or renderer-local mappings. - mcp-builder
ComposioHQ/awesome-claude-skills · score 75/100 (grade C)
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). - mcp-builder-ms
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Use this skill when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK). - ml-engineer
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Build production ML systems with PyTorch 2.x, TensorFlow, and modern ML frameworks. Implements model serving, feature engineering, A/B testing, and monitoring. - mlops-engineer
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Build comprehensive ML pipelines, experiment tracking, and model registries with MLflow, Kubeflow, and modern MLOps tools. - modern-javascript-patterns
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Comprehensive guide for mastering modern JavaScript (ES6+) features, functional programming patterns, and best practices for writing clean, maintainable, and performant code. - monorepo-architect
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Expert in monorepo architecture, build systems, and dependency management at scale. Masters Nx, Turborepo, Bazel, and Lerna for efficient multi-project development. Use for scoped monorepo setup, build or dependency review. - n8n-code-python
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes. - n8n-workflow-patterns
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Proven architectural patterns for building n8n workflows. - networkx
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs. - openrouter
davidondrej/skills · score 75/100 (grade C)
Design, build, debug, and optimize OpenRouter API integrations. Use for any OpenRouter API work, including models, reasoning, routing, media, tools, structured output, cost, or performance. - pdf
openai/skills · score 75/100 (grade C)
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction. - phylogenetics
K-Dense-AI/claude-scientific-skills · score 75/100 (grade C)
Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein families, and cautiously interpreted dated phylogenies. - playwright
openai/skills · score 75/100 (grade C)
Use when the task requires automating a real browser from the terminal (navigation, form filling, snapshots, screenshots, data extraction, UI-flow debugging) via `playwright-cli` or the bundled wrapper script. - ponytail
DietrichGebert/ponytail · score 75/100 (grade C)
Lazy senior dev mode: the smallest change that fully solves the task, and a reply a busy human understands in one read. Use on any coding task (writing, fixing, refactoring, reviewing, choosing dependencies) and when the user says "ponytail", "be lazy", "simplest solution", "yagni", or complains about over-engineering or bloat. Levels: lite, full (default), ultra. - procurement-optimizer
alirezarezvani/claude-skills · score 75/100 (grade C)
Use when running an annual SaaS audit, doing category-level spend review, or rationalizing the supplier base — when the user needs a spend audit, spend categorization (UNSPSC-aligned with Pareto breakdown and industry profiles), purchasing-cycle analysis (bottleneck categories per Goldratt's Theory of Constraints), or risk-balanced supplier consolidation that refuses single-source recommendations for tier-1 categories without a documented break-glass plan. Triggers on "spend audit", "SaaS audit", "spend categorization", "supplier rationalization", "supplier consolidation", "category strategy", "duplicate SaaS", "renewal cluster". - python-fastapi-development
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Python FastAPI backend development with async patterns, SQLAlchemy, Pydantic, authentication, and production API patterns. - qa-only
garrytan/gstack · score 75/100 (grade C)
Report browser/API/CLI/job/worker/webhook bugs. (gstack) - react-patterns
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Modern React patterns and principles. Hooks, composition, performance, TypeScript best practices. - scaffold-exercises
mattpocock/skills · score 75/100 (grade C)
Create exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section. - secrets-audit
briiirussell/cybersecurity-skills · score 75/100 (grade C)
Find leaked secrets in source code, Git history, build artifacts, and infrastructure — and audit the secrets-management posture preventing future leaks. Use when the user mentions 'secrets audit,' 'secret scanning,' 'leaked credentials,' 'API key in code,' 'gitleaks,' 'trufflehog,' 'git history scan,' 'secrets management,' 'vault audit,' 'rotation policy,' 'AWS Secrets Manager,' 'HashiCorp Vault,' 'Doppler,' '1Password Secrets Automation,' 'sealed-secrets,' 'External Secrets Operator,' or needs to find or prevent credential exposure. - senior-backend
alirezarezvani/claude-skills · score 75/100 (grade C)
Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns. - skill-optimizer
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Diagnose and optimize Agent Skills (SKILL.md) with real session data and research-backed static analysis. Works with Claude Code, Codex, and any Agent Skills-compatible agent. - snowflake-development
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Comprehensive Snowflake development assistant covering SQL best practices, data pipeline design (Dynamic Tables, Streams, Tasks, Snowpipe), Cortex AI functions, Cortex Agents, Snowpark Python, dbt integration, performance tuning, and security hardening. - source-driven-development
addyosmani/agent-skills · score 75/100 (grade C)
Grounds every implementation decision in official documentation. Use when you want to verify an approach against the official docs before implementing it, or when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters. - swift-testing-expert
AvdLee/Swift-Testing-Agent-Skill · score 75/100 (grade C)
Expert guidance for Swift Testing: test structure, #expect/#require macros, traits and tags, parameterized tests, test plans, parallel execution, async waiting patterns, and XCTest migration. Use when writing new Swift tests, modernizing XCTest suites, debugging flaky tests, or improving test quality and maintainability in Apple-platform or Swift server projects. - temporal-python-pro
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. - testing-patterns
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle. - text-to-speech
elevenlabs/skills · score 75/100 (grade C)
Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 90+ languages. - threejs-qa-release
majidmanzarpour/threejs-game-skills · score 75/100 (grade C)
Verify and release Three.js browser games: playtest QA, automated bot playtests, mobile and responsive checks, production builds, static-hosting base paths, debug gating, bundle review, screenshots, visual regression baselines, canvas-pixel inspection with measured metrics, and release risk reports. - tinystruct-patterns
affaan-m/ECC · score 75/100 (grade C)
Expert guidance for developing with the tinystruct Java framework. Use when working on the tinystruct codebase or any project built on tinystruct — including generating the bin/dispatcher and bin/dispatcher.cmd launcher scripts when a project lacks them, creating Application classes, @Action-mapped routes, unit tests, ActionRegistry, HTTP/CLI dual-mode handling, the built-in HTTP server, the event system, JSON with Builder/Builders, database persistence with AbstractData, POJO generation, Server-Sent Events (SSE), file uploads, and outbound HTTP networking. - tinystruct-patterns
affaan-m/everything-claude-code · score 75/100 (grade C)
Expert guidance for developing with the tinystruct Java framework. Use when working on the tinystruct codebase or any project built on tinystruct — including generating the bin/dispatcher and bin/dispatcher.cmd launcher scripts when a project lacks them, creating Application classes, @Action-mapped routes, unit tests, ActionRegistry, HTTP/CLI dual-mode handling, the built-in HTTP server, the event system, JSON with Builder/Builders, database persistence with AbstractData, POJO generation, Server-Sent Events (SSE), file uploads, and outbound HTTP networking. - tools-page-seo-optimizer
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Framework-agnostic SEO workflow for any site with multiple tool, product, or feature pages. Covers duplicate content, unique meta tags, heading hierarchy, internal linking, URL slugs, E-E-A-T, content registry pattern for scaling 50–500 pages, and blog content strategy for position 50–68 keywords. - twilio-communications
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Build communication features with Twilio: SMS messaging, voice - uv-package-manager
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Comprehensive guide to using uv, an extremely fast Python package installer and resolver written in Rust, for modern Python project management and dependency workflows. - videodb
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Video and audio perception, indexing, and editing. Ingest files/URLs/live streams, build visual/spoken indexes, search with timestamps, edit timelines, add overlays/subtitles, generate media, and create real-time alerts. - xvary-stock-research
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Thesis-driven equity analysis from public SEC EDGAR and market data; /analyze, /score, /compare workflows with bundled Python tools (Claude Code, Cursor, Codex). - zapier-make-patterns
sickn33/antigravity-awesome-skills · score 75/100 (grade C)
No-code automation democratizes workflow building. Zapier and Make - agent-framework-azure-ai-py
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK. - agentic-actions-auditor
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Audits GitHub Actions workflows for security vulnerabilities in AI agent integrations including Claude Code Action, Gemini CLI, OpenAI Codex, and GitHub AI Inference. Detects attack vectors where attacker-controlled input reaches AI agents running in CI/CD pipelines. - android-jetpack-compose-expert
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Expert guidance for building modern Android UIs with Jetpack Compose, covering state management, navigation, performance, and Material Design 3. - anti-sleep
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Keep a Mac awake with caffeinate during long builds, downloads, or supervised automation runs. - app-builder
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Main application building orchestrator. Creates full-stack applications from natural language requests. Determines project type, selects tech stack, coordinates agents. - arbor
K-Dense-AI/claude-scientific-skills · score 74/100 (grade C)
Applies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses persistent hypotheses, isolated experiments, evidence propagation and held-out candidate comparison for multi-experiment research runs. Includes a standard-library state manager and guidance for the RUC-NLPIR Arbor CLI. - arize-prompt-optimization
github/awesome-copilot · score 74/100 (grade C)
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement. - asc-signing-setup
rudrankriyam/app-store-connect-cli-skills · score 74/100 (grade C)
Set up bundle IDs, capabilities, signing certificates, provisioning profiles, and encrypted signing sync with the asc cli. Use when onboarding a new app, rotating signing assets, or sharing them across a team. - aws-security-audit
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Comprehensive AWS security posture assessment using AWS CLI and security best practices - azure-ai-ml-py
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Azure Machine Learning SDK v2 for Python. Use for ML workspaces, jobs, models, datasets, compute, and pipelines. - azure-appconfiguration-py
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Azure App Configuration SDK for Python. Use for centralized configuration management, feature flags, and dynamic settings. - azure-communication-chat-java
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Build real-time chat applications with thread management, messaging, participants, and read receipts. - azure-eventgrid-py
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Azure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures. - azure-search-documents-dotnet
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Azure AI Search SDK for .NET (Azure.Search.Documents). Use for building search applications with full-text, vector, semantic, and hybrid search. - azure-static-web-apps
github/awesome-copilot · score 74/100 (grade C)
Helps create, configure, and deploy Azure Static Web Apps using the SWA CLI. Use when deploying static sites to Azure, setting up SWA local development, configuring staticwebapp.config.json, adding Azure Functions APIs to SWA, or setting up GitHub Actions CI/CD for Static Web Apps. - azure-storage-blob-java
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Build blob storage applications using the Azure Storage Blob SDK for Java. - azure-storage-queue-py
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Azure Queue Storage SDK for Python. Use for reliable message queuing, task distribution, and asynchronous processing. - baoyu-electron-extract
JimLiu/baoyu-skills · score 74/100 (grade C)
Extracts resources and JavaScript from any installed Electron app (`.asar` bundle), restoring original sources from `.js.map` files when available or formatting minified code with Prettier otherwise. Use when user wants to "extract Electron app", "decompile Electron", "get the source code of <app>", "inspect app.asar", "看 Electron 应用源码", "提取 .asar", or asks how a desktop Electron app is built. Skips `node_modules` and supports both macOS and Windows. - baoyu-wechat-summary
JimLiu/baoyu-skills · score 74/100 (grade C)
Summarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar. - bigquery-bigframes
google/skills · score 74/100 (grade C)
Generates Python code using BigQuery DataFrames (BigFrames). Use by default for any Python data task involving BigQuery, including data processing, analysis, and machine learning. Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics. - bio-alignment-io
GPTomics/bioSkills · score 74/100 (grade C)
Read, write, and convert multiple sequence alignment files using Biopython Bio.AlignIO. Supports Clustal, PHYLIP, Stockholm, FASTA, Nexus, and other alignment formats for phylogenetics and conservation analysis. Use when reading, writing, or converting alignment file formats. - bio-alignment-msa-parsing
GPTomics/bioSkills · score 74/100 (grade C)
Parse and analyze multiple sequence alignments using Biopython. Extract sequences, identify conserved regions, analyze gaps, work with annotations, and manipulate alignment data for downstream analysis. Use when parsing or manipulating multiple sequence alignments. - bio-atac-seq-consensus-peakset
GPTomics/bioSkills · score 74/100 (grade C)
Build a differential-ready consensus peakset from per-replicate ATAC-seq peaks using iterative overlap removal, fixed-width re-centering, and majority-rule overlap. Use when generating a stable peak coordinate system for downstream differential accessibility, ML feature engineering, cross-sample comparison, or fixed-width peak counts; covers Corces 2018 iterative overlap (501 bp), DiffBind summit re-centering, and ENCODE consistency rules. - bio-phylo-distance-calculations
GPTomics/bioSkills · score 74/100 (grade C)
Build model-corrected evolutionary distance matrices and distance trees (NJ, BIONJ, FastME, UPGMA) with Biopython Bio.Phylo plus R ape/phangorn/FastME. Covers why a distance is a model-corrected estimate of substitutions per site that undercounts raw because of multiple/back/parallel hits (saturation); why the matrix discards the per-site information ML keeps; the LogDet/paralinear fix for compositional heterogeneity; the UPGMA molecular-clock trap; and the Bio.Phylo landmine that DistanceCalculator offers only identity/matrix distances, not JC/K80/TN93. Use when computing a distance matrix, building a fast NJ/FastME tree, seeding an ML search, barcoding, or testing substitution saturation before a deep tree. Routes ML and starting-tree work to modern-tree-inference, alignment quality to alignment/alignment-io, and tree I/O to tree-io. - bio-single-cell-scatac-analysis
GPTomics/bioSkills · score 74/100 (grade C)
Analyze single-cell ATAC-seq with Signac/ArchR (R) and SnapATAC2 (Python alternative). Use when processing scATAC fragments, choosing a framework, calling consensus peaks, running TF-IDF/LSI while diagnosing the depth component, scoring chromVAR motif deviations against GC-matched backgrounds, detecting homotypic vs heterotypic doublets, or deciding whether to binarize the count matrix. - bio-write-sequences
GPTomics/bioSkills · score 74/100 (grade C)
Write biological sequences to files (FASTA, FASTQ, GenBank, EMBL) using Biopython Bio.SeqIO. Use when saving sequences, creating new sequence files, or outputting modified records. - brainstorming
obra/superpowers · score 74/100 (grade C)
You MUST use this before any creative work - creating features, building components, adding functionality, modifying behavior, or planning anything new, in software or out of it (a talk, a business, a renovation). - brooks-debt
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Tech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. - bug-hunter
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Systematically finds and fixes bugs using proven debugging techniques. Traces from symptoms to root cause, implements fixes, and prevents regression. - building-native-ui
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Complete guide for building beautiful apps with Expo Router. Covers fundamentals, styling, components, navigation, animations, patterns, and native tabs. - chatgpt-apps
openai/skills · score 74/100 (grade C)
Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code. - chief-data-officer-advisor
alirezarezvani/claude-skills · score 74/100 (grade C)
Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs mesh, build-vs-buy), B2B customer-data-as-asset valuation and M&A readiness, data team org evolution. Use when deciding whether to train models on customer data, choosing data architecture, valuing data for fundraising or M&A, sequencing data hires, or when user mentions CDO, chief data officer, data strategy, data mesh, lakehouse, training data, data product, data monetization, or customer data asset. NOT a tactical data engineering skill — strategic decisions only. - ci-cd-and-automation
addyosmani/agent-skills · score 74/100 (grade C)
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies. - cloud-monitoring-chart-generation
google/skills · score 74/100 (grade C)
Generates Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos on Google Cloud from resolved PromQL or ListTimeSeries queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery or TimeSeriesFilter datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus or ListTimeSeries queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills. - code-refactoring-refactor-clean
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance. - code-reviewer
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Elite code review expert specializing in modern AI-powered code - code-simplification
addyosmani/agent-skills · score 74/100 (grade C)
Simplifies code for clarity. Use when refactoring code for clarity without changing behavior. Use when code works but is harder to read, maintain, or extend than it should be. Use when reviewing code that has accumulated unnecessary complexity. - code-simplifier
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Simplifies and refines code for clarity, consistency, and maintainability while preserving all functionality. Use when asked to "simplify code", "clean up code", "refactor for clarity", "improve readability", or review recently modified code for elegance. Focuses on project-specific best practices. - codebase-cleanup-refactor-clean
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
You are a code refactoring expert specializing in clean code principles, SOLID design patterns, and modern software engineering best practices. Analyze and refactor the provided code to improve its quality, maintainability, and performance. - codex
garrytan/gstack · score 74/100 (grade C)
OpenAI Codex CLI wrapper — three modes. (gstack) - comps-analysis
anthropics/financial-services · score 74/100 (grade C)
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business models - coo-advisor
alirezarezvani/claude-skills · score 74/100 (grade C)
Operations leadership for scaling companies. Process design, OKR execution, operational cadence, and scaling playbooks. Use when designing operations, setting up OKRs, building processes, scaling teams, analyzing bottlenecks, planning operational cadence, or when user mentions COO, operations, process improvement, OKRs, scaling, operational efficiency, or execution. - data-engineering-data-driven-feature
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Build features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation. - debugging-toolkit-smart-debug
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Diagnose failures from reproduction steps, traces, logs and code; test hypotheses and verify a scoped fix without inventing production evidence. - django-pro
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Master Django 5.x with async views, DRF, Celery, and Django Channels. Build scalable web applications with proper architecture, testing, and deployment. - django-verification
affaan-m/ECC · score 74/100 (grade C)
Run the full Django verification loop — environment check, mypy/ruff/black linting, migration safety, pytest with coverage targets, pip-audit and bandit security scans, settings and logging review, and diff review — producing a phased pass/fail report before release or PR. Use when preparing a Django pull request, validating migrations or coverage, or running pre-deploy readiness checks. - django-verification
affaan-m/everything-claude-code · score 74/100 (grade C)
Run the full Django verification loop — environment check, mypy/ruff/black linting, migration safety, pytest with coverage targets, pip-audit and bandit security scans, settings and logging review, and diff review — producing a phased pass/fail report before release or PR. Use when preparing a Django pull request, validating migrations or coverage, or running pre-deploy readiness checks. - doubt-driven-development
addyosmani/agent-skills · score 74/100 (grade C)
Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when you want every assumption cross-examined before proceeding, when stress-testing a plan for hidden failure modes, when correctness matters more than speed, when working in unfamiliar code, when stakes are high (production auth, security-sensitive logic, a high-stakes migration, irreversible operations), or any time a confident output would be cheaper to verify now than to debug later. - error-diagnostics-smart-debug
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Diagnose failures from reproduction steps, traces, logs and code; test hypotheses and verify a scoped fix without inventing production evidence. - expo-ui-swift-ui
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Build iOS-native Expo SDK 55 UI with SwiftUI views/modifiers, Host/RNHostView embedding and native rebuild prerequisites. - fillout_forms-automation
ComposioHQ/awesome-claude-skills · score 74/100 (grade C)
Automate Fillout tasks via Rube MCP (Composio): forms, submissions, workflows, and form builder. Always search tools first for current schemas. - flutter-dev
MiniMax-AI/skills · score 74/100 (grade C)
Flutter cross-platform development guide covering widget patterns, Riverpod/Bloc state management, GoRouter navigation, performance optimization, and platform-specific implementations. Includes const optimization, responsive layouts, testing strategies, and DevTools profiling. Use when: building Flutter apps, implementing state management (Riverpod/Bloc), setting up GoRouter navigation, creating custom widgets, optimizing performance, writing widget tests, cross-platform development. - fp-pipe-ref
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Quick reference for pipe and flow. Use when user needs to chain functions, compose operations, or build data pipelines in fp-ts. - fp-ts-errors
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Handle errors as values using fp-ts Either and TaskEither for cleaner, more predictable TypeScript code. Use when implementing error handling patterns with fp-ts. - free-tool-strategy
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
You are an expert in engineering-as-marketing strategy. Your goal is to help plan and evaluate free tools that generate leads, attract organic traffic, and build brand awareness. - frontend-developer
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Build React components, implement responsive layouts, and handle client-side state management. Masters React 19, Next.js 15, and modern frontend architecture. - gemini-live-api
google/skills · score 74/100 (grade C)
Generates a Gemini LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini Enterprise LiveAPI websocket endpoint, handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos. Don't use for general (non-live, non-bidirectional) Gemini API usage such as one-shot `generateContent`, embeddings, image/video generation, or fine-tuning — use the `gemini-api` skill for those. - github
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Use the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries. - github-actions-advanced
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Design, debug, and harden GitHub Actions CI/CD workflows, including reusable workflows, matrix builds, self-hosted runners, OIDC authentication, caching, environments, secrets, and release automation. - golang-testing
affaan-m/ECC · score 74/100 (grade C)
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices. Use when writing Go tests — table-driven cases, subtests, benchmarks, fuzzing, or coverage. - golang-testing
affaan-m/everything-claude-code · score 74/100 (grade C)
Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices. Use when writing Go tests — table-driven cases, subtests, benchmarks, fuzzing, or coverage. - google-analytics-data-api-basics
google/skills · score 74/100 (grade C)
Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized analytics reports, query metrics (like activeUsers, screenPageViews) and dimensions (like city, date), check metrics and dimensions compatibility, or verify API enablement. Don't use for Google Analytics Admin API operations (e.g., creating properties, managing users) or for front-end tracking installation. - grilling
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Interview the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases. - grpc-golang
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Build production-ready gRPC services in Go with mTLS, streaming, and observability. Use when designing Protobuf contracts with Buf or implementing secure service-to-service transport. - helm-chart-builder
alirezarezvani/claude-skills · score 74/100 (grade C)
Helm chart development agent skill and plugin for Claude Code, Codex, Gemini CLI, Cursor, OpenClaw — chart scaffolding, values design, template patterns, dependency management, security hardening, and chart testing. Use when: user wants to create or improve Helm charts, design values.yaml files, implement template helpers, audit chart security (RBAC, network policies, pod security), manage subcharts, or run helm lint/test. - hookify-rules
affaan-m/ECC · score 74/100 (grade C)
Create and configure hookify rules — markdown files with YAML frontmatter that match bash, file, prompt, or stop events by regex or conditions and show warn/block messages to the agent. Use when creating a hookify rule, writing hook rule syntax, configuring hookify, or adding pattern guardrails such as blocking dangerous commands, .env edits, or debug code. - hookify-rules
affaan-m/everything-claude-code · score 74/100 (grade C)
Create and configure hookify rules — markdown files with YAML frontmatter that match bash, file, prompt, or stop events by regex or conditions and show warn/block messages to the agent. Use when creating a hookify rule, writing hook rule syntax, configuring hookify, or adding pattern guardrails such as blocking dangerous commands, .env edits, or debug code. - ios-sync
garrytan/gstack · score 74/100 (grade C)
Regenerate the iOS debug bridge against the latest upstream gstack templates. (gstack) - knap
kepano/obsidian-skills · score 74/100 (grade C)
Render Markdown from templates and structured data using Knap CLI. Use when the user asks to apply a Knap template, turn JSON or CSV data into notes, batch-generate Markdown files, or format Defuddle output into a note. - knowledge-ops
alirezarezvani/claude-skills · score 74/100 (grade C)
Use when a Head of Ops, Knowledge Manager, or TPM-Internal needs to author, validate, or clean up company SOPs and internal runbooks (procurement intake, vendor offboarding, incident-comms cascade, employee onboarding) — including 5W2H completeness checks (Who-What-When-Where-Why-How-HowMuch), cross-link and orphan-page validation across a sprawling Notion/Confluence/Obsidian wiki, KB ingestion + hygiene reporting, and runbook step verification (named owner, expected duration, observable success signal, rollback path, escalation contact). Pairs Ishikawa's 5W2H method, Gawande's *The Checklist Manifesto*, ISO 9001, ITIL v4, and Google SRE Workbook runbook discipline with deterministic stdlib-only Python tools that score completeness, detect anti-patterns, and emit prioritized cleanup lists (e.g., "validate this runbook before it goes into rotation", "audit our Confluence wiki for stale and orphaned SOPs"). - legacy-modernizer
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Refactor legacy codebases, migrate outdated frameworks, and implement gradual modernization. Handles technical debt, dependency updates, and backward compatibility. - linux-shell-scripting
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Provide production-ready shell script templates for common Linux system administration tasks including backups, monitoring, user management, log analysis, and automation. These scripts serve as building blocks for security operations and penetration testing environments. - makepad-2-0-widgets
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Makepad 2.0 guidance for widgets; use when building or debugging Makepad UI code. - makepad-widgets
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Select and compose Makepad widgets, configure their properties and styling, and debug widget behavior against a pinned makepad-widgets version. - mcp-implementation-security-review
github/awesome-copilot · score 74/100 (grade C)
Review the implementation source code of MCP (Model Context Protocol) servers, clients, and tool handlers against a security baseline — authentication, sessions, rate limiting, input-schema validation, official-SDK usage, RCE vectors, and the OWASP MCP Top 10 — producing a report with file/line evidence. Use this skill when: - Reviewing an MCP server implementation for security before release - Checking a server against the baseline controls (MCP-01 to MCP-05) and the OWASP MCP Top 10 - Auditing tools for RCE vectors (command/code injection, unsafe deserialization, path traversal, SSTI, dependency hijacking, SSRF) - Verifying auth, session, rate-limiting, and input-validation controls on a network-exposed server - Reviewing MCP client code that handles untrusted server responses and session IDs - Requests like "review this MCP server for security" or "is my MCP server implementation secure?" - mcp-server-builder
alirezarezvani/claude-skills · score 74/100 (grade C)
Design and ship production-ready MCP (Model Context Protocol) servers from OpenAPI contracts instead of hand-written tool wrappers. Python and TypeScript support, schema validation, safe evolution. Use when exposing an existing API as an MCP server, building tool integrations for Claude or Codex or Cursor, or scaffolding an MCP project from scratch. - microsoft-agent-framework
github/awesome-copilot · score 74/100 (grade C)
Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python. - migrate-to-rust
google/skills · score 74/100 (grade C)
Clones, analyzes, plans, and migrates legacy codebases (C++, Fortran, Java, Python, C, Shell) from a GitHub URL or local directory to a modern, high-performance, deterministic, 100% Safe Rust architecture, tracking live telemetry across every task bucket, test failure/fix cycle, and Profile-Guided Optimization (PGO) stage, and producing a first-person AI storytelling report and interactive HTML infographic. Use when migrating a GitHub repository or local codebase to Rust, porting legacy C++, Fortran, Python, or Java workloads to memory-safe Rust, designing Struct-of-Arrays (SoA) or SIMD Rust architectures, or optimizing Rust ports with LLVM PGO. Don't use for unrelated non-Rust refactoring or single-line syntax questions. - mybatis-patterns
affaan-m/ECC · score 74/100 (grade C)
MyBatis and MyBatis-Spring patterns for mapper design, XML and annotation SQL, result mapping, dynamic SQL safety, transactions, batching, pagination, and query performance. Use when building or reviewing Java persistence code with MyBatis, Spring Boot, MyBatis-Spring, or MyBatis-based legacy applications. - mybatis-patterns
affaan-m/everything-claude-code · score 74/100 (grade C)
MyBatis and MyBatis-Spring patterns for mapper design, XML and annotation SQL, result mapping, dynamic SQL safety, transactions, batching, pagination, and query performance. Use when building or reviewing Java persistence code with MyBatis, Spring Boot, MyBatis-Spring, or MyBatis-based legacy applications. - nagent
davidondrej/skills · score 74/100 (grade C)
Launch a new bb worker thread with the right project, model, worktree, and task brief. Use for nagent, launching a bb session, or a standalone bb agent. Covers thread creation; use bb-cli for managing existing threads. - nestjs-patterns
affaan-m/ECC · score 74/100 (grade C)
NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends. Use when building or reviewing a NestJS backend — modules, providers, DTO validation, guards, or interceptors. - nestjs-patterns
affaan-m/everything-claude-code · score 74/100 (grade C)
NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends. Use when building or reviewing a NestJS backend — modules, providers, DTO validation, guards, or interceptors. - npm-trusted-publishing
github/awesome-copilot · score 74/100 (grade C)
Set up or fix npm trusted publishing (OIDC) in GitHub Actions and remove NPM_TOKEN. Use for ENEEDAUTH, E404 on PUT, E422 repository.url, or migrating off 2FA-bypass tokens before January 2027. - paperclip
K-Dense-AI/claude-scientific-skills · score 74/100 (grade C)
Searches and reads biomedical papers, FDA/PMDA/EMA documents, clinical trials, and protein records with the GXL Paperclip CLI and Python SDK. Supports source-scoped search, full-text grep, metadata SQL, map/reduce extraction, figure analysis, optional repositories and claim verification, and line-pinned citations. Use when a task names GXL paperclip, asks to install or authenticate it, or requests literature retrieval and evidence extraction through Paperclip. - patch-diff-exploit
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Locate vulnerability fixes in vendor patches, diff binaries across versions, and build N-day PoCs. Attack-side complement to binary-diff for authorized research. - phase-gated-debugging
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Use when debugging any bug. Enforces a 5-phase protocol where code edits are blocked until root cause is confirmed. Prevents premature fix attempts. - phoenix-evals
github/awesome-copilot · score 74/100 (grade C)
Build and run evaluators for AI/LLM applications using Phoenix. - pi-agent
K-Dense-AI/claude-scientific-skills · score 74/100 (grade C)
Builds with and operates Pi, the minimal terminal coding harness. Use for installing Pi, configuring providers/models/settings/environment variables, creating Pi skills/extensions/packages/themes/prompt templates, embedding Pi through the SDK, integrating over RPC or JSON event streams, parsing sessions, running local models through the llama.cpp router, developing custom Pi providers and TUI components, or using ecosystem packages such as pi-subagents (delegation/orchestration), pi-mcp-adapter (MCP servers), pi-interview (interactive forms), and pi-web-access (web search, fetching, video understanding). - pinecone-rag
github/awesome-copilot · score 74/100 (grade C)
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component. - power-apps-code-app-scaffold
github/awesome-copilot · score 74/100 (grade C)
Scaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration - product-skills
alirezarezvani/claude-skills · score 74/100 (grade C)
Use when coordinating product work across the 12 bundled product sub-skills (RICE, OKRs, UX research, design tokens, competitive teardown, analytics, experiments, discovery, roadmaps, spec-to-repo, landing pages, SaaS scaffolding) or the 4 standalone product-team plugins (user stories, Apple HIG, code-to-PRD, research summarizer). Triggers on 'help me prioritize', 'plan a product experiment', 'we ship features nobody uses', 'run the discovery loop', 'is our OST sound'. Forks context to route to one sub-skill via a deterministic signal router and returns a digest; can also drive a continuous-discovery loop (Torres cadence tracker + OST linter as machine gates) or a full goal→plan→execute→verify→close run through the repo-wide agent-harness. Distinct from project-management (how to deliver vs what to build), marketing/landing (from-scratch pages), and engineering/agent-harness (the generic loop engine this orchestrator plugs into). - progressive-web-app
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Build Progressive Web Apps (PWAs) with offline support, installability, and caching strategies. Trigger whenever the user mentions PWA, service workers, web app manifests, Workbox, 'add to home screen', or wants their web app to work offline, feel native, or be installable. - protocol-reverse-engineering
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Comprehensive techniques for capturing, analyzing, and documenting network protocols for security research, interoperability, and debugging. - python-development
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint (Alias for python-development-python-scaffold) - python-development-python-scaffold
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
You are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hint - python-patterns
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying. - quarkus-native-and-container
github/awesome-copilot · score 74/100 (grade C)
Build Quarkus native executables (Mandrel/GraalVM), fix native failures with reflection registration, test the native binary, and produce container images and Kubernetes/OpenShift manifests. Use for native, Docker, Jib or Kubernetes work in a Quarkus project. - quarkus-tdd
affaan-m/ECC · score 74/100 (grade C)
Test-driven development for Quarkus 3.x LTS using JUnit 5, Mockito, REST Assured, Camel testing, and JaCoCo. Use when adding features, fixing bugs, or refactoring event-driven services. - quarkus-tdd
affaan-m/everything-claude-code · score 74/100 (grade C)
Test-driven development for Quarkus 3.x LTS using JUnit 5, Mockito, REST Assured, Camel testing, and JaCoCo. Use when adding features, fixing bugs, or refactoring event-driven services. - react-nextjs-development
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
React and Next.js 14+ application development with App Router, Server Components, TypeScript, Tailwind CSS, and modern frontend patterns. - receiving-code-review
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Code review requires technical evaluation, not emotional performance. - refactor-plan
github/awesome-copilot · score 74/100 (grade C)
Create a concrete plan before starting a multi-file refactor. Use when the user asks to plan, sequence, scope, or safely execute a refactor across multiple files; always investigate first, output the plan, and wait for confirmation before making code changes. - release-skills
JimLiu/baoyu-skills · score 74/100 (grade C)
Universal release workflow. Auto-detects version files and changelogs. Supports Node.js, Python, Rust, Claude Plugin, GitHub Releases, annotated tags, historical release backfill, and generic projects. Use when user says "release", "发布", "new version", "bump version", "push", "推送", "release notes", "GitHub Release", or "回填 Release". - review
entireio/skills · score 74/100 (grade C)
Review code changes on the current branch using checkpoint transcript context to understand developer intent before auditing the diff. Use when the user asks for a code review, wants to review branch changes, or asks to audit recent work before merging. - review-and-simplify-changes
Dimillian/Skills · score 74/100 (grade C)
Review a git diff or explicit file scope for reuse, code quality, efficiency, clarity, and standards issues, then optionally apply safe Codex-driven fixes. Use when the user asks to \"simplify code\", \"review changed code\", \"check for code reuse\", \"review code quality\", \"review efficiency\", \"simplify changes\", \"clean up code\", \"refactor changes\", or \"run simplify\". - rfp-responder
alirezarezvani/claude-skills · score 74/100 (grade C)
Use when an RFP, RFI, RFQ, security questionnaire, vendor questionnaire, or proposal request arrives and the team needs a structured response — parsing multi-section buyer-dictated requirements (MANDATORY vs WEIGHTED vs NICE-TO-HAVE), building a Shipley-method proof-point matrix mapping each requirement to a verifiable proof point, articulating 3-5 win-themes that ladder up across requirements, and producing a Shipley-derived winrate estimate that informs a bid / no-bid / partner-bid recommendation. For Bid Managers, Proposal Leads, Directors of Sales, and Sales Engineers at the response-strategy moment. Surfaces GAP requirements explicitly — never invents claims. NOT free-form proposal narrative authoring, NOT contract redline, NOT marketing collateral. - roslyn-analyzers
github/awesome-copilot · score 74/100 (grade C)
Build, review, debug, package, and test Roslyn diagnostic analyzers, code fix providers, and incremental source generators. Use for DiagnosticAnalyzer, CodeFixProvider, IIncrementalGenerator, IOperation analysis, Microsoft.CodeAnalysis dependency pinning, Roslyn test harnesses, C#/VB tests, and analyzer NuGet packaging. - rust-pro
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Master Rust 1.75+ with modern async patterns, advanced type system features, and production-ready systems programming. - semantic-kernel
github/awesome-copilot · score 74/100 (grade C)
Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python. - snowflake-semanticview
github/awesome-copilot · score 74/100 (grade C)
Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup. - social-metadata-hardening
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Fix social sharing previews so URLs render as rich cards on Facebook, LinkedIn, X/Twitter, WhatsApp, Telegram, and more. Covers OG tags, Twitter cards, absolute image URLs, and debugging. - speech
openai/skills · score 74/100 (grade C)
Use when the user asks for text-to-speech narration or voiceover, accessibility reads, audio prompts, or batch speech generation via the OpenAI Audio API; run the bundled CLI (`scripts/text_to_speech.py`) with built-in voices and require `OPENAI_API_KEY` for live calls. Custom voice creation is out of scope. - spreadsheet-manual-build
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Spreadsheet Manual Build: an empty Excel workbook or CSV from a confirmed field list, formatted and validated. Use for an xlsx template or a manual register. - swiftui-ui-patterns
Dimillian/Skills · score 74/100 (grade C)
Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples. - systems-programming-rust-project
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
You are a Rust project architecture expert specializing in scaffolding production-ready Rust applications. Generate complete project structures with cargo tooling, proper module organization, testing - tech-resume-optimizer
Paramchoudhary/ResumeSkills · score 74/100 (grade C)
Optimize resumes for software engineering, PM, and technical roles - terminal-ops
affaan-m/ECC · score 74/100 (grade C)
Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified. - terminal-ops
affaan-m/everything-claude-code · score 74/100 (grade C)
Evidence-first repo execution workflow for ECC. Use when the user wants a command run, a repo checked, a CI failure debugged, or a narrow fix pushed with exact proof of what was executed and verified. - test-driven-development
addyosmani/agent-skills · score 74/100 (grade C)
Drives development with tests using the red-green-refactor loop. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality. Use when asked to add tests to a function, fix a bug in it or change its behavior, even when the code is pasted inline and the request does not mention tests. - typed-service-contracts
google-labs-code/design.md · score 74/100 (grade C)
Architecture standard for building robust, type-safe TypeScript services using the "Spec and Handler" pattern. Use when building CLIs, libraries, or complex business logic. - typescript-expert
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
TypeScript and JavaScript expert with deep knowledge of type-level programming, performance optimization, monorepo management, migration strategies, and modern tooling. - ui-lint
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Quick automated lint — detects common design system violations in seconds - ui-skills
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Opinionated, evolving constraints to guide agents when building interfaces - viral-generator-builder
sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Expert in building shareable generator tools that go viral - name - webapp-testing
Galaxy-Dawn/claude-scholar · score 74/100 (grade C)
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. - xcode-build-orchestrator
AvdLee/Xcode-Build-Optimization-Agent-Skill · score 74/100 (grade C)
Orchestrate Xcode build optimization by benchmarking first, running the specialist analysis skills, prioritizing findings, requesting explicit approval, delegating approved fixes to xcode-build-fixer, and re-benchmarking after changes. Use when a developer wants an end-to-end build optimization workflow, asks to speed up Xcode builds, wants a full build audit, or needs a recommend-first optimization pass covering compilation, project settings, and packages. - agent-tool-builder
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Tools are how AI agents interact with the world. A well-designed - ai-agent-development
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents. - angular-best-practices
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Angular performance optimization and best practices guide. Use when writing, reviewing, or refactoring Angular code for optimal performance, bundle size, and rendering efficiency. - angular-ui-patterns
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Modern Angular UI patterns for loading states, error handling, and data display. Use when building UI components, handling async data, or managing component states. - antithesis-documentation
antithesishq/antithesis-skills · score 73/100 (grade C)
Use Antithesis documentation efficiently for product, workflow, and integration questions. Prefer the snouty docs CLI when available, and otherwise request markdown versions of documentation pages directly. - antithesis-feature-workload
antithesishq/antithesis-skills · score 73/100 (grade C)
Design and build an Antithesis workload for a specific feature: analyze the feature, discover its testable properties, build a self-driving workload that runs locally and in Antithesis, and iterate until the feature's behaviors are exercised and its invariants are checked. - artifacts-builder
ComposioHQ/awesome-claude-skills · score 73/100 (grade C)
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts. - aws-serverless
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Specialized skill for building production-ready serverless - azure-ai-projects-py
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Build AI applications on Microsoft Foundry using the azure-ai-projects SDK. - azure-keyvault-certificates-rust
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Azure Key Vault Certificates SDK for Rust. Use for creating, importing, and managing certificates. - azure-mgmt-fabric-py
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources. - azure-search-documents-ts
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Build search applications with vector, hybrid, and semantic search capabilities. - azure-storage-blob-py
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Azure Blob Storage SDK for Python. Use for uploading, downloading, listing blobs, managing containers, and blob lifecycle. - azure-storage-file-share-py
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Azure Storage File Share SDK for Python. Use for SMB file shares, directories, and file operations in the cloud. - bio-codon-usage
GPTomics/bioSkills · score 73/100 (grade C)
Analyze codon usage and calculate CAI (Codon Adaptation Index), RSCU, and Nc with Biopython, and produce naive max-CAI codon-optimized sequences. Use when scoring a gene's codon bias against a host, optimizing a CDS for heterologous expression, or studying synonymous codon selection. - bio-entrez-link
GPTomics/bioSkills · score 73/100 (grade C)
Find cross-database references between NCBI databases using Biopython Bio.Entrez (ELink). Use when navigating gene to protein/structure, sequence to publication, PubMed to GEO, BioProject to SRA runs, or discovering all link relationships for a record. Covers linkname semantics, cmd= variants, asymmetric link warnings, neighbor_history for >200 input IDs, and per-database link tables. - bio-methylation-based-detection
GPTomics/bioSkills · score 73/100 (grade C)
Detects cancer and infers tissue-of-origin from cfDNA methylation by choosing conversion chemistry (bisulfite vs EM-seq vs TAPS vs cfMeDIP), calling read-level methylation haplotypes rather than averaged beta values, and deconvolving a hematopoietic-dominated cfDNA mixture against a methylation atlas via NNLS/quadratic programming. Encodes the GRAIL/CCGA thesis that thousands of tissue-specific markers make methylation outperform sparse mutations for multi-cancer early detection (MCED) and localization, and that single concordantly-methylated fragments give ppm-level sensitivity. Uses MethylDackel for extraction (mbias-then-extract), MEDIPS/QSEA for enrichment data, scipy.optimize.nnls for deconvolution. Use when building an MCED or methylation-MRD assay, picking a conversion chemistry for low-input plasma, or deconvolving tissue-of-origin from cfDNA. - bio-read-sequences
GPTomics/bioSkills · score 73/100 (grade C)
Read biological sequence files (FASTA, FASTQ, GenBank, EMBL, ABI, SFF) with Biopython Bio.SeqIO, choosing between streaming, in-memory, and on-disk-indexed access. Use when parsing sequence files, iterating multi-record files, randomly accessing records by ID in large files, or maximizing parse throughput. - cdk-patterns
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Common AWS CDK patterns and constructs for building cloud infrastructure with TypeScript, Python, or Java. Use when designing reusable CDK stacks and L3 constructs. - chief-ai-officer-advisor
alirezarezvani/claude-skills · score 73/100 (grade C)
Chief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases for regulatory risk, calculating when self-hosting pays off, sequencing AI hires, or when user mentions CAIO, AI strategy, model selection, foundation model, fine-tuning, EU AI Act, NIST AI RMF, AI governance, model risk, or AI economics. Strategic only — does not duplicate engineering AI/ML skills. - churn-prevention
alirezarezvani/claude-skills · score 73/100 (grade C)
Reduce voluntary and involuntary churn through cancel flow design, save offers, exit surveys, and dunning sequences. Use when designing or optimizing a cancel flow, building save offers, setting up dunning emails, or reducing failed-payment churn. Trigger keywords: cancel flow, churn reduction, save offers, dunning, exit survey, payment recovery, win-back, involuntary churn, failed payments, cancel page. NOT for customer health scoring or expansion revenue — use customer-success-manager for that. - claude-code-expert
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Especialista profundo em Claude Code - CLI da Anthropic. Maximiza produtividade com atalhos, hooks, MCPs, configuracoes avancadas, workflows, CLAUDE.md, memoria, sub-agentes, permissoes e integracao com ecossistemas. - cloud-logging-query-generation
google/skills · score 73/100 (grade C)
Generates Logging Query Language (LQL) queries for Cloud Logging on Google Cloud from natural language. Use this skill when you need to query log data or when you are debugging issues. You can filter log data by Google Cloud service. Don't use this skill to query other databases, such as SQL or Cloud Spanner. - code-refactoring-context-restore
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Resume interrupted project work from a handoff and current checkout evidence; reconcile completed work, pending changes and existing user constraints. - code-review-excellence
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Transform code reviews from gatekeeping to knowledge sharing through constructive feedback, systematic analysis, and collaborative improvement. - commercial-policy
alirezarezvani/claude-skills · score 73/100 (grade C)
Use when designing or revising a company's commercial policy — the rules of engagement governing discounts off list price, approver thresholds, exception flows, and the deal framework that Deal Desk and AEs operate under. Covers discount matrix design (ARR band x term length x payment terms x strategic value), commercial policy design, exception policy, discount governance, approval thresholds, deal framework structure, and policy linting (contradictions, gaps, cliff edges, gaming surfaces). For Head of Commercial, Head of Deal Desk, VP Sales, or RevOps at the policy-design moment — NOT per-deal application (that is deal-desk) and NOT pricing model selection (that is pricing-strategist). - computer-use-agents
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Build AI agents that interact with computers like humans do - - cqrs-implementation
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Implement Command Query Responsibility Segregation for scalable architectures. Use when separating read and write models, optimizing query performance, or building event-sourced systems. - cs-cto-advisor
alirezarezvani/claude-skills · score 73/100 (grade C)
Technical leadership advisor for CTOs covering technology strategy, team scaling, architecture decisions, and engineering excellence. Use when a CTO or technical founder needs company-level technology judgment — e.g., deciding build-vs-buy for a core platform component, or planning how to scale the engineering org from 5 to 30 engineers without losing delivery velocity. - cs-demand-gen-specialist
alirezarezvani/claude-skills · score 73/100 (grade C)
Demand generation and acquisition-funnel specialist orchestrating the marketing-demand-acquisition, paid-ads, and email-sequence skills. Use when building or fixing the acquisition engine — e.g., comparing channel CAC against B2B SaaS benchmarks before reallocating a $40k/month budget, scoring paid-ads account health with ad_health_scorer.py before scaling spend, or designing a nurture sequence that must score 70+ on sequence_analyzer.py before launch. Covers channel mix, CAC/ROAS math, MQL→SQL workflows, attribution, and nurture design. - data-quality-frameworks
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts. - dcf-model
anthropics/financial-services · score 73/100 (grade C)
Real DCF (Discounted Cash Flow) model creation for equity valuation. Retrieves financial data from SEC filings and analyst reports, builds comprehensive cash flow projections with proper WACC calculations, performs sensitivity analysis, and outputs professional Excel models with executive summaries. Use when users need to value a company using DCF methodology, request intrinsic value analysis, or ask for detailed financial modeling with growth projections and terminal value calculations. - design
nextlevelbuilder/ui-ux-pro-max-skill · score 73/100 (grade C)
Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads. - docker-expert
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
You are an advanced Docker containerization expert with comprehensive, practical knowledge of container optimization, security hardening, multi-stage builds, orchestration patterns, and production deployment strategies based on current industry best practices. - event-sourcing-architect
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Expert in event sourcing, CQRS, and event-driven architecture patterns. Masters event store design, projection building, saga orchestration, and eventual consistency patterns. Use PROACTIVELY for event-sourced systems, audit trail requirements, or complex domain modeling with temporal queries. - event-store-design
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Design and implement event stores for event-sourced systems. Use when building event sourcing infrastructure, choosing event store technologies, or implementing event persistence patterns. - expo-ui-jetpack-compose
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Build Android-native Expo SDK 55 UI with Jetpack Compose views/modifiers, Host sizing and platform-specific integration. - firebase-basics
google/skills · score 73/100 (grade C)
Provides foundational Firebase CLI setup, CLI installation, version checks (`firebase-tools@latest --version`), CLI login (including --no-localhost), project creation, project selection (`firebase use`), and app config file downloads (`google-services.json`, `GoogleService-Info.plist`). Use ONLY for CLI login, project creation/switching, or downloading app config files. Don't use for Firebase Hosting deploy, Firestore, Auth, App Hosting, Data Connect, Crashlytics, or Remote Config. - focused-fix
alirezarezvani/claude-skills · score 73/100 (grade C)
Use when the user asks to fix, debug, or make a specific feature/module/area work end-to-end. Triggers: 'make X work', 'fix the Y feature', 'the Z module is broken', 'focus on [area]'. Not for quick single-bug fixes — this is for systematic deep-dive repair across all files and dependencies. - follow-builders
zarazhangrui/follow-builders · score 73/100 (grade C)
AI builders digest — monitors top AI builders on X and YouTube podcasts, remixes their content into digestible summaries. Use when the user wants AI industry insights, builder updates, or invokes /ai. No API keys or dependencies required — all content is fetched from a central feed. - fp-ts-react
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Includes version-specific React patterns requiring project verification. - free-tool-strategy
alirezarezvani/claude-skills · score 73/100 (grade C)
When the user wants to build a free tool for marketing — lead generation, SEO value, or brand awareness. Use when they mention 'engineering as marketing,' 'free tool,' 'calculator,' 'generator,' 'checker,' 'grader,' 'marketing tool,' 'lead gen tool,' 'build something for traffic,' 'interactive tool,' or 'free resource.' Covers idea evaluation, tool design, and launch strategy. For pure SEO content strategy (no tool), use seo-audit or content-strategy instead. - gan-style-harness
affaan-m/ECC · score 73/100 (grade C)
GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper. Use when a feature should be built autonomously through generator and evaluator iteration until it clears a quality bar. - gan-style-harness
affaan-m/everything-claude-code · score 73/100 (grade C)
GAN-inspired Generator-Evaluator agent harness for building high-quality applications autonomously. Based on Anthropic's March 2026 harness design paper. Use when a feature should be built autonomously through generator and evaluator iteration until it clears a quality bar. - google-cloud-recipe-foundation-builder
google/skills · score 73/100 (grade C)
Deploys a baseline landing zone foundation for a Google Cloud Organization, establishing security guardrails using Organization Policies, resource hierarchy folders and projects, billing association, and centralized logging and monitoring. Deploys Google Cloud's recommended security controls and architecture. Use when setting up a new Google Cloud Organization or establishing a secure, enterprise-grade landing zone foundation. Don't use for individual project onboarding (use google-cloud-recipe-onboarding or product-specific skills instead). - graphql-architect
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Master modern GraphQL with federation, performance optimization, and enterprise security. Build scalable schemas, implement advanced caching, and design real-time systems. - gtm-board-and-investor-communication
github/awesome-copilot · score 73/100 (grade C)
Board meeting preparation, investor updates, and executive communication. Use when preparing board decks, writing investor updates, handling bad news with the board, structuring QBRs, or building board-level metric discipline. Includes the "Three Things" narrative model, the 4-tier metric hierarchy, and the pre-brief pattern that prevents board surprises. - hexagonal-architecture
affaan-m/ECC · score 73/100 (grade C)
Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services. Use when introducing or refactoring toward Ports and Adapters, or when domain logic has become entangled with I/O. - hexagonal-architecture
affaan-m/everything-claude-code · score 73/100 (grade C)
Design, implement, and refactor Ports & Adapters systems with clear domain boundaries, dependency inversion, and testable use-case orchestration across TypeScript, Java, Kotlin, and Go services. Use when introducing or refactoring toward Ports and Adapters, or when domain logic has become entangled with I/O. - hf-cli
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Curated upstream guidance for Hf Cli; use when the workflow matches the user goal. - homelab-network-readiness
affaan-m/ECC · score 73/100 (grade C)
Readiness checklist for homelab VLAN segmentation, local DNS filtering (Pi-hole, AdGuard Home), and WireGuard-style remote access. Use when planning or reviewing home network changes — splitting a flat network into trusted, IoT, guest, or management VLANs, moving DHCP to a local resolver, or adding VPN access — before changing router, firewall, DHCP, or VPN configuration. - homelab-network-readiness
affaan-m/everything-claude-code · score 73/100 (grade C)
Readiness checklist for homelab VLAN segmentation, local DNS filtering (Pi-hole, AdGuard Home), and WireGuard-style remote access. Use when planning or reviewing home network changes — splitting a flat network into trusted, IoT, guest, or management VLANs, moving DHCP to a local resolver, or adding VPN access — before changing router, firewall, DHCP, or VPN configuration. - imagegen
openai/skills · score 73/100 (grade C)
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG/vector/code-native assets, extending an established icon or logo system, or building the visual directly in HTML/CSS/canvas. - infinity
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Enforces a strict input boundary protocol (detect, classify, filter, verify) to ensure untrusted data never reaches business logic raw. - internal-comms
alirezarezvani/claude-skills · score 73/100 (grade C)
Use when a Head of People Ops, BizOps lead, or Internal Communications owner needs to draft and sequence an internal-only change-management communication — a re-org announcement, a tool rollout, a policy change, a leadership transition, a layoff, an acquisition close, or an internal product launch — and the audience is employees (not customers). Pairs Prosci ADKAR and Kotter's 8-step change model with deterministic stdlib-only Python tools to produce a sequenced touchpoint calendar, a Kotter-compliant primary announcement, an audience-segmented FAQ, and manager cascade talking points; industry-tuned via --profile {tech-startup, scaleup, enterprise, public-company, non-profit}. Triggers on "all-hands announcement", "change comms", "rollout comms", "re-org announcement", "manager talking points", "layoff comms". - ios-debugger-agent
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Debug the current iOS project on a booted simulator with XcodeBuildMCP. - javascript-typescript-typescript-scaffold
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Scaffold TypeScript projects with build tooling, type checking, testing, and configuration. - js-reverse
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Front-end JavaScript reverse engineering: locate signature chains, analyze encrypted request parameters, sample runtime behavior, and reproduce logic locally in Node for evidence-based output. - karpathy-guidelines
multica-ai/andrej-karpathy-skills · score 73/100 (grade C)
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria. - lab-hardware-cad
K-Dense-AI/claude-scientific-skills · score 73/100 (grade C)
Designs custom laboratory hardware as parametric build123d models and exports fabrication artifacts as STEP, STL, and DXF files - microfluidic chips and molds, optomechanical mounts and breadboard adapters, cuvette and microplate holders, tube racks, animal-behavior rigs, and 3D-printed instrument fixtures. Use when a research task needs a physical part that must mate with standardized labware, an optical table, a cage system, or a printer, CNC, or laser process. - launch-strategy
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
You are an expert in SaaS product launches and feature announcements. Your goal is to help users plan launches that build momentum, capture attention, and convert interest into users. - macos-golden-gate-design
github/awesome-copilot · score 73/100 (grade C)
Design, implement, review, or refactor native macOS 27 Golden Gate interfaces in SwiftUI or AppKit. Use when a Mac app must match Apple''s current macOS 27 UI kit and restrained Liquid Glass language: integrated windows, full-height sidebars, native toolbars, flat lists, tables, and forms, clear pane boundaries, accessible materials, and removal of unnecessary nested cards, framed panels, or glassmorphism. Also use for Figma macOS 27 design-to-code work and audits of interfaces that feel too boxed. - makepad-2-0-dsl
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Makepad 2.0 guidance for dsl; use when building or debugging Makepad UI code. - minimax-xlsx
MiniMax-AI/skills · score 73/100 (grade C)
Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format. - monorepo-navigator
alirezarezvani/claude-skills · score 73/100 (grade C)
Navigate, manage, and optimize monorepos. Covers Turborepo, Nx, pnpm workspaces, and Lerna. Cross-package impact analysis, selective builds/tests on affected packages, remote caching, dependency graph visualization, and structured multi-repo to monorepo migrations. Use when setting up a new monorepo, optimizing CI for a large workspace, debugging cross-package dependency issues, or planning a multi-repo consolidation. - nodejs-backend-patterns
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Comprehensive guidance for building scalable, maintainable, and production-ready Node.js backend applications with modern frameworks, architectural patterns, and best practices. - observability-designer
alirezarezvani/claude-skills · score 73/100 (grade C)
Design production-ready observability strategies combining metrics, logs, and traces. Includes SLI/SLO design, golden-signals monitoring, alert optimization. Use when adding observability to a new service, refactoring alerting that is too noisy, or designing an SLO program before scaling production load. - performance-optimizer
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Identifies and fixes performance bottlenecks in code, databases, and APIs. Measures before and after to prove improvements. - phoenix-cli
github/awesome-copilot · score 73/100 (grade C)
Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique. - playwright-interactive
openai/skills · score 73/100 (grade C)
Persistent browser and Electron interaction through `js_repl` for fast iterative UI debugging. - poka-yoke
github/awesome-copilot · score 73/100 (grade C)
Mistake-proof code so misuse cannot be expressed, rather than warning against it. Use when designing an interface, schema, or state machine and the user wants it hard to get wrong ("make invalid states unrepresentable", "so callers cannot screw it up", "type-safe API", "pit of success"); when auditing existing code for footguns ("what could bite us here", "what is easy to misuse", "poka-yoke this repo", "review this diff for ways to get it wrong"); or when a bug has recurred and the fix must close the class rather than the case ("make sure this never happens again", "this is the third time"). Especially for money, auth, permissions, deletion, migrations, and pipelines where failure is silent. Classifies every finding by what happens when the mistake occurs and how the device notices, which is what keeps it from collapsing into generic code review. - pw-review
alirezarezvani/claude-skills · score 73/100 (grade C)
Review Playwright tests for quality. Use when user says "review tests", "check test quality", "audit tests", "improve tests", "test code review", or "playwright best practices check". - python-pro
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Master Python 3.12+ with modern features, async programming, performance optimization, and production-ready practices. Expert in the latest Python ecosystem including uv, ruff, pydantic, and FastAPI. - python-testing
affaan-m/ECC · score 73/100 (grade C)
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements. Use when writing pytest tests — fixtures, mocks, parametrization, or coverage. - python-testing
affaan-m/everything-claude-code · score 73/100 (grade C)
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements. Use when writing pytest tests — fixtures, mocks, parametrization, or coverage. - python-testing-patterns
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices. - quant-analyst
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage. - receiving-code-review
obra/superpowers · score 73/100 (grade C)
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation - sandbox-npm-install
github/awesome-copilot · score 73/100 (grade C)
Install npm packages in a Docker sandbox environment. Use this skill whenever you need to install, reinstall, or update node_modules inside a container where the workspace is mounted via virtiofs. Native binaries (esbuild, lightningcss, rollup) crash on virtiofs, so packages must be installed on the local ext4 filesystem and symlinked back. - scientific-pkg-gget
affaan-m/ECC · score 73/100 (grade C)
gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs. Use when a task needs quick bioinformatics lookup across genomic reference databases with the gget CLI or Python package. - scientific-pkg-gget
affaan-m/everything-claude-code · score 73/100 (grade C)
gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs. Use when a task needs quick bioinformatics lookup across genomic reference databases with the gget CLI or Python package. - security-requirement-extraction
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases. - setup-ts-deep-modules
mattpocock/skills · score 73/100 (grade C)
Wire dependency-cruiser into a TypeScript repo so each package is a deep module, with implementation hidden in subfolders and reachable only through its entry-point files. User-invoked. - skill-creator
himself65/finance-skills · score 73/100 (grade C)
Create, improve, and evaluate agent skills (SKILL.md plus reference files). Use this skill whenever the user wants to build, scaffold, or design a new skill, improve or fix an existing skill that isn't working well, score or benchmark a skill's quality or run evals on it, or turn a repeated manual workflow into a skill ("I keep doing X manually", "can you remember how to do X", "turn this into a skill"). - snowflake-development
alirezarezvani/claude-skills · score 73/100 (grade C)
Use when writing Snowflake SQL, building data pipelines with Dynamic Tables or Streams/Tasks, using Cortex AI functions, creating Cortex Agents, writing Snowpark Python, configuring dbt for Snowflake, or troubleshooting Snowflake errors. - springboot-verification
affaan-m/ECC · score 73/100 (grade C)
Run the full Spring Boot verification loop — Maven or Gradle build, SpotBugs, PMD, and Checkstyle static analysis, unit and Testcontainers integration tests with JaCoCo coverage, OWASP dependency and secret scans, and diff review — producing a pass/fail readiness report. Use when preparing a Spring Boot pull request, validating coverage thresholds, or running pre-deploy verification. - springboot-verification
affaan-m/everything-claude-code · score 73/100 (grade C)
Run the full Spring Boot verification loop — Maven or Gradle build, SpotBugs, PMD, and Checkstyle static analysis, unit and Testcontainers integration tests with JaCoCo coverage, OWASP dependency and secret scans, and diff review — producing a pass/fail readiness report. Use when preparing a Spring Boot pull request, validating coverage thresholds, or running pre-deploy verification. - stripe-integration-expert
alirezarezvani/claude-skills · score 73/100 (grade C)
Production-grade Stripe integrations: subscriptions with trials and proration, one-time payments, usage-based billing, checkout sessions, idempotent webhook handlers, customer portal, and invoicing. Covers Next.js, Express, and Django patterns. Use when integrating Stripe for the first time, debugging webhook reliability issues, migrating from a different payment provider, or adding usage-based billing to an existing subscription product. - supply-chain-security
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Software supply-chain security assessment: SBOM generation, SCA scanning, CI/CD pipeline review, container image audit, build integrity, dependency provenance, and vulnerability reachability verification. - tdd-orchestrator
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Master TDD orchestrator specializing in red-green-refactor discipline, multi-agent workflow coordination, and comprehensive test-driven development practices. - tdd-workflow
affaan-m/ECC · score 73/100 (grade C)
Test-driven development workflow: write a failing test first, watch it fail, implement the smallest change to green, then refactor with 80%+ coverage across unit, integration, and E2E tests. Use when writing a new feature, fixing a bug, refactoring, or when told to write failing tests first. - tdd-workflow
affaan-m/everything-claude-code · score 73/100 (grade C)
Test-driven development workflow: write a failing test first, watch it fail, implement the smallest change to green, then refactor with 80%+ coverage across unit, integration, and E2E tests. Use when writing a new feature, fixing a bug, refactoring, or when told to write failing tests first. - threejs-geometry
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Three.js geometry creation - built-in shapes, BufferGeometry, custom geometry, instancing. Use when creating 3D shapes, working with vertices, building custom meshes, or optimizing with instanced rendering. - typescript-mcp-server-generator
github/awesome-copilot · score 73/100 (grade C)
Generate a complete MCP server project in TypeScript using the MCP TypeScript SDK v2 (@modelcontextprotocol/server) with tools, resources, and proper configuration - ui-skills-root
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Use before UI-related work to select the smallest useful UI Skills context through the ui-skills CLI. - update-implementation-plan
github/awesome-copilot · score 73/100 (grade C)
Update an existing implementation plan file with new or update requirements to provide new features, refactoring existing code or upgrading packages, design, architecture or infrastructure. - web-artifacts-builder
anthropics/skills · score 73/100 (grade C)
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts. - webapp-testing
ComposioHQ/awesome-claude-skills · score 73/100 (grade C)
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. - webapp-testing
anthropics/skills · score 73/100 (grade C)
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs. - wiki-vitepress
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Transform generated wiki Markdown files into a polished VitePress static site with dark theme and interactive Mermaid diagrams. Use when user asks to \"build a site\" or \"package as VitePress\", user runs the /deep-wiki, or user wants a browsable HTML output from generated wiki pages. - winmd-api-search
github/awesome-copilot · score 73/100 (grade C)
Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values). - winui-app
openai/skills · score 73/100 (grade C)
Bootstrap, develop, and design modern WinUI 3 desktop applications with C# and the Windows App SDK using official Microsoft guidance, WinUI Gallery patterns, Windows App SDK samples, and CommunityToolkit components. Use when creating a brand new app, preparing a machine for WinUI, reviewing, refactoring, planning, troubleshooting, environment-checking, or setting up WinUI 3 XAML, controls, navigation, windowing, theming, accessibility, responsiveness, performance, deployment, or related Windows app design and development work. - workiq-copilot
github/awesome-copilot · score 73/100 (grade C)
Guides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations. - x-twitter-growth
alirezarezvani/claude-skills · score 73/100 (grade C)
X/Twitter growth engine for building audience, crafting viral content, and analyzing engagement. Use when the user wants to grow on X/Twitter, write tweets or threads, analyze their X profile, research competitors on X, plan a posting strategy, or optimize engagement. Complements social-content (generic multi-platform) with X-specific depth: algorithm mechanics, thread engineering, reply strategy, profile optimization, and competitive intelligence via web search. - yes-md
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
6-layer AI governance: safety gates, evidence-based debugging, anti-slack detection, and machine-enforced hooks. Makes AI safe, thorough, and honest. - zustand-store-ts
sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Create Zustand stores following established patterns with proper TypeScript types and middleware. - 007
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project. - adobe-illustrator-scripting
github/awesome-copilot · score 72/100 (grade C)
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices. - agent-introspection-debugging
affaan-m/ECC · score 72/100 (grade C)
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry. - agent-introspection-debugging
affaan-m/everything-claude-code · score 72/100 (grade C)
Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry. - agent-platform-troubleshooting
google/skills · score 72/100 (grade C)
Troubleshoots Google Cloud Gemini Enterprise Agent Platform issues (Agent Gateway, Registry, Identity, Policies, Model Armor, Identity-Aware Proxy (IAP)). Use when agent requests fail with 403 (especially unauthorized egress), Agent Runtime queries return 500, or gateway/IAP logs show permission errors. Don't use for general Google Cloud Identity and Access Management (IAM) debugging or networking issues unrelated to the Agent Platform stack. - agentic-os
affaan-m/ECC · score 72/100 (grade C)
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling. - agentic-os
affaan-m/everything-claude-code · score 72/100 (grade C)
Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling. - ai-agents-architect
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Expert in designing and building autonomous AI agents. Masters tool - animejs-animation
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Advanced JavaScript animation library skill for creating complex, high-performance web animations. - asc-release-flow
rudrankriyam/app-store-connect-cli-skills · score 72/100 (grade C)
Orchestrate App Store releases with asc, including staging a version, uploading or building an artifact, publishing, and submitting for review. Use when the user wants to prepare or execute a release. Keep Game Center item preparation in this skill; route other readiness failures, stuck submissions, cancellation, and retry decisions to asc-submission-health. - ask-then-build
davidondrej/skills · score 72/100 (grade C)
Clarify a feature, change, or refactor through questions, then write a build prompt for another agent. Use for /ask-then-build or requests to ask questions before producing an implementation prompt. - aspire
github/awesome-copilot · score 72/100 (grade C)
Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application. - aspnet-core
openai/skills · score 72/100 (grade C)
Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades. - azure-mgmt-apicenter-py
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Azure API Center Management SDK for Python. Use for managing API inventory, metadata, and governance across your organization. - batch-script-progress
github/awesome-copilot · score 72/100 (grade C)
Design and verify runtime output when creating or modifying Python, PowerShell, or Node.js scripts that process multiple files, records, or API requests. Use for batch scripts, bulk operations, silent long-running loops, progress reporting, per-item failures, final counts, stdout separation, or exit-status consistency. Not for UI progress bars, monitoring infrastructure, or progress updates in the AI conversation. - bdi-mental-states
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration. - bevy-ecs-expert
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Master Bevy's Entity Component System (ECS) in Rust, covering Systems, Queries, Resources, and parallel scheduling. - bio-batch-downloads
GPTomics/bioSkills · score 72/100 (grade C)
Download large datasets from NCBI efficiently using EPost, history server, batching, rate limiting, and retry logic. Use when bulk-fetching tens of thousands of sequences, pulling all results of a large ESearch, designing reproducible pipelines, comparing E-utilities to NCBI Datasets v2 CLI, or implementing checksum-validated downloads. Encodes WebEnv TTL (~8h), EPost 200-ID limit, retmax caps, parallelization design, and integrity verification. - bio-clinical-databases-dbsnp-queries
GPTomics/bioSkills · score 72/100 (grade C)
Resolves rsIDs, navigates RsMergeArch/SNPHistory merge chains, and converts between rsID, SPDI, HGVS, and VCF representations using the dbSNP Build 156 JSON architecture. Use when normalizing variant identifiers, joining variant databases by cluster ID, or tracking deprecated rsIDs through historical merges. - bio-entrez-search
GPTomics/bioSkills · score 72/100 (grade C)
Search NCBI databases using Biopython Bio.Entrez (ESearch, EInfo, EGQuery, ESpell). Use when finding records by keyword, building reproducible field-qualified queries, navigating the Entrez Query Translator, exploiting the history server for large result sets, handling retmax caps, or interpreting weekly index lag. Covers PubMed, Nucleotide, Protein, Gene, SRA, GEO, Assembly, Taxonomy, ClinVar, dbSNP. - bio-hi-c-analysis-compartment-analysis
GPTomics/bioSkills · score 72/100 (grade C)
Detects A/B chromatin compartments from balanced Hi-C contact matrices via eigenvector decomposition of the distance-normalized, Pearson-correlated cis matrix with cooltools (eigs_cis), then orients (phases) the compartment eigenvector against a GC or gene-density track so the active (A) sign is not arbitrary. Covers the eigenvector-is-a-choice problem (per-arm view_df to remove the centromere gradient; picking the eigenvector by max correlation with activity, not by eigenvalue), GC phasing with bioframe.frac_gc, resolution choice (100kb-1Mb), saddle plots and saddle_strength for compartmentalization strength, the cohesin-loss-strengthens-compartments result, subcompartments (SNIPER/Calder/dcHiC), and cross-condition compartment switching. Use when calling A/B compartments, computing E1/eigenvectors, phasing the eigenvector, building saddle plots, choosing a compartment resolution, quantifying compartment strength, or comparing compartmentalization across conditions. - bio-protac-degraders
GPTomics/bioSkills · score 72/100 (grade C)
Designs PROTACs, molecular glues, and bivalent degraders with explicit handling of E3 ligase choice (VHL, CRBN, IAP, MDM2, KEAP1), linker design (length, composition, rigidity), ternary complex prediction (PRosettaC, DeepTernary, AlphaFold3), cooperativity (alpha), DC50 / Dmax characterization, hook effect, and prediction-experiment reconciliation. Use when designing targeted protein degraders, planning linker SAR, predicting ternary complex stability, or building generative degrader workflows. - bio-proteomics-dia-analysis
GPTomics/bioSkills · score 72/100 (grade C)
Analyzes data-independent acquisition (DIA) proteomics by scoring reconstructed fragment-chromatogram peak groups against a decoy null with DIA-NN (library-free directDIA, library-based, or deep-learning predicted-library routes), Spectronaut, OpenSWATH, and EncyclopeDIA. Frames the deliverable around q-value LEVEL (precursor/peptide/protein-group) and CONTEXT (run vs experiment-wide/global) rather than a bare "1% FDR", and around the duty-cycle-vs-selectivity acquisition tradeoff (window design, staggered demultiplexing, diaPASEF, narrow-window Astral). Use when identifying and quantifying proteins from DIA mass spectrometry runs and filtering DIA-NN report.parquet/matrix output. Building the spectral library itself is spectral-libraries; normalization and protein roll-up is quantification; statistical testing of the matrix is differential-abundance. - bio-reverse-complement
GPTomics/bioSkills · score 72/100 (grade C)
Generate reverse complements and complements of DNA/RNA sequences using Biopython, including IUPAC ambiguity codes, gapped alignments, and minus-strand features. Use when working with the opposite strand, building reverse primers, normalizing strand orientation before alignment, or extracting a coding sequence from a minus-strand feature. - bio-rna-structure-covariation-analysis
GPTomics/bioSkills · score 72/100 (grade C)
Tests whether a proposed or predicted RNA secondary structure is supported by evolutionary covariation using R-scape, which scores compensatory substitutions against a phylogeny-aware null and estimates the statistical power of the alignment. Use when validating a conserved-structure claim before trusting it (the test that found no support for HOTAIR/Xist/SRA lncRNA structures); separating real covariation from phylogenetic correlation; deciding whether an alignment even has the power to test structure; or building a covariation-supported consensus (CaCoFold) to seed a covariance model or folding. - bio-workflows-methylation-pipeline
GPTomics/bioSkills · score 72/100 (grade C)
Orchestrates the end-to-end bisulfite/EM-seq methylation pipeline from FASTQ to differentially methylated regions, chaining Trim Galore/fastp QC, Bismark alignment + deduplication, methylation calling, methylKit coverage-filtering/normalization, and selection-aware DMR detection (dmrseq/DSS). Use when gating the run on bisulfite conversion (lambda + pUC19 controls) BEFORE any beta value, committing the genome build + library directionality once, keeping mate-overlap deduplicated (--no_overlap), M-bias-trimming from the plot, filtering coverage before testing, choosing a count model (beta-binomial/DSS) over a bare-beta t-test, or using a region-selection-aware FDR (dmrseq/DSS) rather than raw methylKit tiles. Hands mechanism to the methylation-analysis component skills; not a re-teach of any single step. - buildkite-automation
ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Buildkite tasks via Rube MCP (Composio). Always search tools first for current schemas. - chrome-extension-developer
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Expert in building Chrome Extensions using Manifest V3. Covers background scripts, service workers, content scripts, and cross-context communication. - cloud-build-basics
google/skills · score 72/100 (grade C)
Teaches the fundamentals of Cloud Build on Google Cloud. Covers core concepts, API enablement, console navigation to the Build History page, and the end-to-end workflow for creating and manually running a basic build trigger. Do not use for managing private pools or complex pipeline architectures. - codex-review
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring. - cro-advisor
alirezarezvani/claude-skills · score 72/100 (grade C)
Revenue leadership for B2B SaaS companies. Revenue forecasting, sales model design, pricing strategy, net revenue retention, and sales team scaling. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, building board forecasts, or when user mentions CRO, chief revenue officer, revenue strategy, sales model, ARR growth, NRR, expansion revenue, churn, pricing strategy, or sales capacity. - crustdata-automation
ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Crustdata tasks via Rube MCP (Composio). Always search tools first for current schemas. - data-engineer
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. - datapack-builder
anthropics/financial-services · score 72/100 (grade C)
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers. Extract, normalize, and standardize financial data into investment committee-ready Excel workbooks with consistent structure, proper formatting, and documented assumptions. Use for M&A due diligence, private equity analysis, investment committee materials, and standardizing financial reporting across portfolio companies. Do not use for simple financial calculations or working with already-completed data packs. - deepseek-harness-setup
affaan-m/ECC · score 72/100 (grade C)
Install and operate Everything Claude Code (ECC) on the DeepSeek Harness (DSH): native skill roots (~/.dsh/skills, .agents/skills), the @deepseek-ai/dsh-hooks-claude-code bridge for command hooks, bare-insert patch mounting, generator usage, event-support limits, and update workflow. Use when setting up ECC on DeepSeek Harness, wiring ECC hooks into a DSH profile, or debugging why ECC skills or hooks do not appear in a DSH session. - deepseek-harness-setup
affaan-m/everything-claude-code · score 72/100 (grade C)
Install and operate Everything Claude Code (ECC) on the DeepSeek Harness (DSH): native skill roots (~/.dsh/skills, .agents/skills), the @deepseek-ai/dsh-hooks-claude-code bridge for command hooks, bare-insert patch mounting, generator usage, event-support limits, and update workflow. Use when setting up ECC on DeepSeek Harness, wiring ECC hooks into a DSH profile, or debugging why ECC skills or hooks do not appear in a DSH session. - deerflow-maintainer-orchestrator
bytedance/deer-flow · score 72/100 (grade C)
Use when a DeerFlow maintainer needs comment-only GitHub issue or PR handling: resolve issue/PR scopes with gh, analyze issues, post or draft issue comments, perform PR review comments, review PR or issue batches, compare competing PRs that target the same issue, give fix strategy, risk classification, and validation guidance. Intended for maintainers and trusted local agents, not general contributors. - defuddle
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page. - developing-genkit-python
google/skills · score 72/100 (grade C)
Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems. - dotnet-backend
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Build ASP.NET Core 8+ backend services with EF Core, auth, background jobs, and production API patterns. - flowstudio-power-automate-mcp
github/awesome-copilot · score 72/100 (grade C)
Foundation skill for Power Automate via FlowStudio MCP — auth setup, the reusable MCP helper (Python + Node.js), tool discovery via `list_skills` / `tool_search`, and oversized-response handling. Load this skill first when connecting an agent to Power Automate. For specialized workflows, load `flowstudio-power-automate-build`, `flowstudio-power-automate-debug`, `flowstudio-power-automate-monitoring` (Pro+), or `flowstudio-power-automate-governance` (Pro+) — each contains the workflow narrative, this skill provides the plumbing they all rely on. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app - foundry-agentic-loop
github/awesome-copilot · score 72/100 (grade C)
Build agentic solutions on Microsoft Foundry, GitHub and Azure: hosted agents, toolbox tools and skills, Foundry IQ grounding and a React/FastAPI app. Three modes: rapid prototyping in an existing Foundry project; spec-driven development (SDD), where the foundry-agentic-loop-workflow runs Specify, Implement, Verify and Deploy to create the Foundry project and deploy with azd, or one phase runs alone; and Improve, which refines this skill and the workflow from past runs. Use for Agentic Loop requests and canvas actions, or end-to-end agent solutions from architecture to Azure deployment. Not for isolated Azure administration or unrelated UI edits. - fp-ts-pragmatic
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library. - frontend-slides
affaan-m/ECC · score 72/100 (grade C)
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices. - frontend-slides
affaan-m/everything-claude-code · score 72/100 (grade C)
Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices. - github-ops
affaan-m/ECC · score 72/100 (grade C)
GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands. - github-ops
affaan-m/everything-claude-code · score 72/100 (grade C)
GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands. - godot-gdscript-patterns
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Master Godot 4 GDScript patterns including signals, scenes, state machines, and optimization. Use when building Godot games, implementing game systems, or learning GDScript best practices. - grade-iterate
alirezarezvani/claude-skills · score 72/100 (grade C)
Phase 3 of building a Claude Managed Agent — the bounded grade→iterate loop. Define a CMA outcome (a required markdown rubric graded by an isolated grader), read each verdict, decide the next move (sharpen / re-run / promote to schedule), and once a version passes, run held-back eval cases in parallel. Use when the user says "grade my agent", "make it pass the rubric", "iterate until it's good", "is it good enough", or when the orchestrator routes phase=grade-iterate. outcome_builder.py builds the user.define_outcome payload (rubric required, max_iterations clamped 1..20 — never unbounded); verdict_reader.py reads the grader result and recommends the next move; eval_scaffold.py generates held-back cases + a parallel run plan (capped at the 25-thread CMA ceiling). Distinct from stage-launch (first launch) and run-without-you (scheduling). - gstack-openclaw-office-hours
garrytan/gstack · score 72/100 (grade C)
Use when asked to brainstorm, evaluate whether an idea is worth building, run office hours, or think through a new product idea or design direction before any code is written. - gtm-developer-ecosystem
github/awesome-copilot · score 72/100 (grade C)
Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines. - haskell-pro
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Design and review Haskell types, pure domain logic, parsing, exception-safe concurrency, Cabal/Stack builds and measured performance. - hugging-face-cli
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the Hugging Face Hub. - human-gate
alirezarezvani/claude-skills · score 72/100 (grade C)
Runs the human-verification lane of an agent loop, and proves review happened before work is called done. Builds a single-file HTML review page, collects batched feedback as a structured artifact instead of chat prose, and runs a gate that refuses to close while a BLOCKER is open, the reviewer is unnamed, or nobody has reviewed at all. Use when a plan, spec, RFC, report, landing page, migration, or any irreversible action needs human sign-off before shipping, or on requests such as 'get sign-off', 'have someone check this', 'hold until reviewed', 'needs approval first'. NOT for making AI text sound human (use content-humanizer or behuman). NOT for reviewing code diffs (use md-review or code-reviewer). - java-junit
github/awesome-copilot · score 72/100 (grade C)
Write, review and fix Java unit tests with JUnit 5 and JUnit 6 (Jupiter), AssertJ and Mockito: assertions, parameterized and nested tests, mocking rules, deterministic time and randomness, Surefire vs Failsafe, JaCoCo coverage, optional PIT mutation testing, and guardrails for agents (never skip or delete failing tests). Use when adding, refactoring or debugging tests in Maven or Gradle projects. Framework-neutral. - javascript-testing-patterns
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Comprehensive guide for implementing robust testing strategies in JavaScript/TypeScript applications using modern testing frameworks and best practices. - linkedin-profile-optimizer
Paramchoudhary/ResumeSkills · score 72/100 (grade C)
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement - loop-design-check
affaan-m/ECC · score 72/100 (grade C)
Design a goal-oriented agent loop or review one for failure modes: spinning, Goodhart-gaming the verifier, or running a wrong answer to completion. Covers machine-decidable goals, loop types, plan/build/judge skeletons, and runaway prevention; mechanism wiring lives in autonomous-loops. Use when designing, writing, or checking an agent loop. 中文触发：写 loop、设计 loop、做一个 loop、检查 loop 对不对、loop 体检、loop 会不会跑飞、可判定目标、五个崩法、plan build judge。 - loop-design-check
affaan-m/everything-claude-code · score 72/100 (grade C)
Design a goal-oriented agent loop or review one for failure modes: spinning, Goodhart-gaming the verifier, or running a wrong answer to completion. Covers machine-decidable goals, loop types, plan/build/judge skeletons, and runaway prevention; mechanism wiring lives in autonomous-loops. Use when designing, writing, or checking an agent loop. 中文触发：写 loop、设计 loop、做一个 loop、检查 loop 对不对、loop 体检、loop 会不会跑飞、可判定目标、五个崩法、plan build judge。 - mcp-server-patterns
affaan-m/ECC · score 72/100 (grade C)
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice. - mcp-server-patterns
affaan-m/everything-claude-code · score 72/100 (grade C)
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API. Use when building or debugging an MCP server — tools, resources, prompts, validation, or transport choice. - migrate-to-shoehorn
mattpocock/skills · score 72/100 (grade C)
Migrate test files from `as` type assertions to @total-typescript/shoehorn. Use when user mentions shoehorn, wants to replace `as` in tests, or needs partial test data. - msgraph-sdk
github/awesome-copilot · score 72/100 (grade C)
Integrate Microsoft Graph SDK into any project — .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365 data (users, mail, calendar, Teams, files, SharePoint) from any application type. - netmiko-ssh-automation
affaan-m/ECC · score 72/100 (grade C)
Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network automation error handling. Use when automating network device access with Python Netmiko, whether collecting state or pushing guarded config changes. - netmiko-ssh-automation
affaan-m/everything-claude-code · score 72/100 (grade C)
Safe Python Netmiko patterns for read-only collection, bounded batch SSH, TextFSM parsing, guarded config changes, timeouts, and network automation error handling. Use when automating network device access with Python Netmiko, whether collecting state or pushing guarded config changes. - odoo-inventory-optimizer
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Expert guide for Odoo Inventory: stock valuation (FIFO/AVCO), reordering rules, putaway strategies, routes, and multi-warehouse configuration. - onboarding-psychologist
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Design first-use and onboarding experiences that bring an early win, cut setup friction, build ownership and form habits through stable cues. Use when onboarding loses users early, time-to-value is long, or the first session should build confidence, momentum and a lasting habit. - owasp-audit
briiirussell/cybersecurity-skills · score 72/100 (grade C)
Audit application source code against the OWASP Top 10 (2021) vulnerability categories — broken access control, cryptographic failures, injection, insecure design, security misconfiguration, vulnerable components, authentication failures, data integrity, logging failures, SSRF. Use when the user mentions 'OWASP,' 'OWASP Top 10,' 'security audit,' 'security review,' 'secure code review,' 'code security review,' 'vulnerability audit,' 'find vulnerabilities,' 'appsec review,' 'application security audit,' 'check for security issues,' 'broken access control,' 'IDOR,' 'SQL injection,' 'XSS,' 'SSRF,' or wants to check their codebase for common security weaknesses. - performance-profiler
alirezarezvani/claude-skills · score 72/100 (grade C)
Systematic performance profiling for Node.js, Python, and Go applications. Identifies CPU, memory, and I/O bottlenecks, generates flamegraphs, analyzes bundle sizes, optimizes database queries, runs load tests with k6 and Artillery. Always measures before and after. Use when investigating a slow endpoint, planning a performance budget, or hunting a memory leak in production. - plankton-code-quality
affaan-m/ECC · score 72/100 (grade C)
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks. Use when setting up write-time formatting, linting, or auto-fix hooks on file edits. - plankton-code-quality
affaan-m/everything-claude-code · score 72/100 (grade C)
Write-time code quality enforcement using Plankton — auto-formatting, linting, and Claude-powered fixes on every file edit via hooks. Use when setting up write-time formatting, linting, or auto-fix hooks on file edits. - python-patterns
affaan-m/ECC · score 72/100 (grade C)
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications. Use when writing or reviewing Python code and idiomatic structure, typing, or PEP 8 is in question. - python-patterns
affaan-m/everything-claude-code · score 72/100 (grade C)
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications. Use when writing or reviewing Python code and idiomatic structure, typing, or PEP 8 is in question. - qa
garrytan/gstack · score 72/100 (grade C)
Fix browser/API/CLI/job/worker/webhook bugs. (gstack) - react-container-presentation-component
github/awesome-copilot · score 72/100 (grade C)
Create a React component using the Container/Presentation pattern in src/components by asking for the component name and type (ui or features), then scaffold files that follow this repository's TypeScript, Storybook, and SCSS conventions. Use when the user explicitly asks for a Container/Presentation-based component or runs /react-container-presentation-component. - react-native-patterns
affaan-m/ECC · score 72/100 (grade C)
React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers. - react-native-patterns
affaan-m/everything-claude-code · score 72/100 (grade C)
React Native and Expo app patterns — Expo Router navigation, state separation (server/client/route/form), TanStack Query data fetching with Zod, performant lists, NativeWind/StyleSheet styling, native APIs, and secure storage. Use when building or editing React Native / Expo screens, components, navigation, or data layers. - reference-list-builder
Paramchoudhary/ResumeSkills · score 72/100 (grade C)
Format professional references properly and prepare reference materials - saas-multi-tenant
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Design and implement multi-tenant SaaS architectures with row-level security, tenant-scoped queries, shared-schema isolation, and safe cross-tenant admin patterns in PostgreSQL and TypeScript. - security-threat-model
openai/skills · score 72/100 (grade C)
Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities, abuse paths, and mitigations, and writes a concise Markdown threat model. Trigger only when the user explicitly asks to threat model a codebase or path, enumerate threats/abuse paths, or perform AppSec threat modeling. Do not trigger for general architecture summaries, code review, or non-security design work. - social-content
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Help plan and draft social content; publishing capabilities depend on the actual connected account and tool permissions. Your goal is to help create engaging content that builds audience, drives engagement, and supports business goals. - stitch-loop
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Teaches agents to iteratively build websites using Stitch with an autonomous baton-passing loop pattern - tech-debt-tracker
alirezarezvani/claude-skills · score 72/100 (grade C)
Scan codebases for technical debt, score severity, track trends, and generate prioritized remediation plans. Use when users mention tech debt, code quality, refactoring priority, debt scoring, cleanup sprints, or code health assessment. Also use for legacy code modernization planning and maintenance cost estimation. - unslop-review
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Rewrites code review comments so they read like a human teammate wrote them. Cuts corporate-AI throat-clearing (\"I noticed...\", \"I was wondering if perhaps...\", \"It might be worth considering...\"). Each comment is direct: location, the issue, a concrete fix. - vexor
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Vector-powered CLI for semantic file search with a Claude/Codex skill - virustotal-automation
ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Virustotal tasks via Rube MCP (Composio). Always search tools first for current schemas. - zipai-optimizer
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Ultra-dense token optimizer skill for prompt caching, log pruning, AST-based inspection, and minified JSON payloads. - zod-validation-expert
sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Expert in Zod — TypeScript-first schema validation. Covers parsing, custom errors, refinements, type inference, and integration with React Hook Form, Next.js, and tRPC. - 3d-web-experience
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Use when building or debugging web 3D scenes, product configurators or portfolios with Three.js, React Three Fiber or Spline; review assets, loading, controls, fallbacks and performance. - adaptyv
K-Dense-AI/claude-scientific-skills · score 71/100 (grade C)
Uses the Adaptyv Bio Foundry API and Python SDK to design protein characterization experiments, estimate costs, submit sequences, monitor laboratory progress, and retrieve results. Applies to Adaptyv Foundry, its target catalog, binding screening and affinity assays, thermostability, expression, fluorescence, epitope binning, and enzyme activity workflows, including code using adaptyv or FoundryClient. - agent-workflow-designer
alirezarezvani/claude-skills · score 71/100 (grade C)
Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure handling, and cost/context controls. Use when architecting a multi-step agent pipeline, choosing between single-agent vs multi-agent approaches, or refactoring an LLM workflow that suffers from context bloat or unreliable handoffs. - android-cli
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Orchestrates Android development tasks including project creation, deployment, SDK management, and environment diagnostics using the `android` command-line tool. - animate
emilkowalski/skills · score 71/100 (grade C)
Build an animation from scratch, making the decisions in the order that determines whether it feels right — should it animate at all, what purpose, which tool, which properties, which curve and duration, how it interrupts, how it exits. Writes the implementation. Use when asked to animate something, add motion, make a component feel alive, or build a transition. For critiquing existing motion use review-animations; for auditing a whole codebase use improve-animations. - antithesis-setup-k8s
antithesishq/antithesis-skills · score 71/100 (grade C)
Scaffold the Antithesis harness for customers running Kubernetes: Convert helm charts, kustomize templates, or raw Kubernetes manifests into a minimized set of manifests for Antithesis. Verify the Kubernetes manifests are in the correct shape with snouty validate and a local cluster deploy. Hands it off to antithesis-launch if the user wants to submit a run. At the end, the user is ready to run antithesis-workload to build tests. If the desired setup is docker-compose, defer to the antithesis-setup skill. - apigee-agent-gateway-governance
google/skills · score 71/100 (grade C)
Stands up an Apigee API proxy that a Google Cloud Agent Gateway calls as an ext-proc (Service Extension) callout on an agent's LLM traffic, to meter token usage per model, extract caller identity, and apply Model Armor prompt screening or a semantic cache. Use when wiring Apigee in as an AI gateway behind an Agent Gateway, when an agent's model egress needs governing, or when a callout proxy returns no verdict and you need to find out why. The distinguishing question is whether Apigee forwards the traffic or only inspects it: this skill is inspect-only, and builds the proxy itself. Don't use it when Apigee is meant to receive a request and route it onward to a backend — including hosting an MCP server behind Apigee — which needs a proxy with a target instead. Don't use for governing the agent's calls to tools or MCP servers. Don't use for choosing or switching which model a request goes to. Don't use for creating the Agent Gateway itself, nor for Apigee hybrid. - application-integration-authoring
google/skills · score 71/100 (grade C)
Builds, versions, publishes, tests, and executes Google Cloud Application Integration workflows through the REST API and Python discovery client, and promotes versions across environments. Use when listing integrations, downloading or uploading integration versions as JSON, configuring API triggers or config variables, publishing drafts, invoking integrations, or automating CI/CD promotion. Do not use for initial region provisioning and IAM setup (use application-integration-basics) or diagnosing failed runs and logs (use application-integration-troubleshooting). - architecture-patterns
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems. - azure-container-registry-cli
github/awesome-copilot · score 71/100 (grade C)
Manage Azure Container Registry via the az acr CLI including registries, images, cloud builds, ACR Tasks, authentication, tokens, geo-replication, and networking. Use when working with ACR, az acr commands, pushing/importing/purging container images in Azure, or when the user mentions Azure Container Registry. - azure-devops-cli
github/awesome-copilot · score 71/100 (grade C)
Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI. - backtesting-frameworks
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Build robust, production-grade backtesting systems that avoid common pitfalls and produce reliable strategy performance estimates. - bb-plugins
davidondrej/skills · score 71/100 (grade C)
Build, install, and debug bb plugins. Use when the user wants a bb plugin, a sidebar panel, a bb CLI subcommand, an agent tool, a theme, a provider, or to extend bb itself. For running threads and the core bb CLI, use bb-cli instead. - bio-blast-searches
GPTomics/bioSkills · score 71/100 (grade C)
Run remote BLAST searches against NCBI servers using Biopython Bio.Blast.NCBIWWW. Use when identifying unknown sequences, finding homologs, picking the correct BLAST program (blastn/blastp/blastx/tblastn/tblastx/psiblast/megablast/dc-megablast), interpreting Karlin-Altschul E-values, avoiding the max_target_seqs trap (Shah 2019), choosing composition-based statistics, or limiting searches by organism. Covers RID lifecycle, database choice (nt/nr/refseq_select/swissprot), word-size and CBS taxonomy. - bio-data-visualization-circos-plots
GPTomics/bioSkills · score 71/100 (grade C)
Build circular genome visualizations using circlize (R), pyCirclize (Python), or Circos (Perl CLI) with ideogram tracks, multi-data tracks (scatter, histogram, heatmap), chord/link arcs for interactions, and explicit circos.clear() between plots. Covers when circular is appropriate vs when Cartesian wins (Cleveland-McGill 1984), karyograms, and chromosome adjacency in chord diagrams. Use when adjacency on the circle conveys meaning — chromosome-level overview, structural variants, Hi-C interactions, cross-genome comparisons. - bio-format-conversion
GPTomics/bioSkills · score 71/100 (grade C)
Convert between sequence file formats (FASTA, FASTQ, GenBank, EMBL, Stockholm) and re-encode FASTQ quality offsets using Biopython Bio.SeqIO. Use when changing a file format for a downstream tool, fixing FASTQ quality encoding (Phred+33 vs Phred+64 vs Solexa), or when a conversion risks silently dropping annotations or quality scores. - bio-proteomics-spectral-libraries
GPTomics/bioSkills · score 71/100 (grade C)
Builds and manages DIA spectral libraries as peptide query parameters (precursor m/z, a few fragment m/z plus relative intensities, normalized RT, optional CCS), covering experimental DDA, chromatogram, and in-silico predicted libraries via Koina-served Prosit, AlphaPeptDeep, MS2PIP, and DeepLC, with iRT/CiRT RT calibration, NCE tuning, format conversion (DIA-NN tsv/speclib/parquet, OpenSWATH pqp/TraML, Spectronaut, blib/dlib/elib), and library QC/merge. Use when generating, calibrating, converting, or merging a spectral library to drive a DIA search. Running the actual DIA search is dia-analysis; building from DDA identifications depends on peptide-identification; modified-peptide libraries route to ptm-analysis; quantifying the result is quantification. - bio-read-qc-umi-processing
GPTomics/bioSkills · score 71/100 (grade C)
Extracts UMIs and collapses reads to original molecules with umi_tools (directional dedup) or builds error-corrected single-strand/duplex consensus reads with fgbio. Use when the library has UMIs and accurate molecule counting or below-sequencer-floor error correction is needed - single-cell, low-input RNA-seq, targeted panels, and ctDNA/liquid-biopsy rare-variant detection. For UMI extraction during QC use fastp-workflow; do not dedup non-UMI bulk RNA-seq. - bio-restriction-mapping
GPTomics/bioSkills · score 71/100 (grade C)
Build restriction maps showing enzyme cut positions and inter-site distances along DNA using Biopython Bio.Restriction. Produces text or graphical maps for linear and circular molecules, orders sites from single and double digests, and overlays GenBank features. Use when creating a restriction map of a sequence, ordering cut sites along a plasmid, or relating sites to annotated features. - bio-workflows-cnv-pipeline
GPTomics/bioSkills · score 71/100 (grade C)
Orchestrates the copy-number pipeline from BAM to segmented, integer-called, annotated CNVs, forking on germline-vs-somatic - CNVkit (somatic exome/panel: coverage -> assay-matched reference/PoN -> fix -> segment -> purity/ploidy-aware call), GATK gCNV (germline rare-CNV cohort), and allele-specific callers (ASCAT/FACETS/PURPLE) for purity/ploidy. Use when committing the build + target/access BED + PoN once (assay-matched), building the reference from normals BEFORE segmenting, fitting purity/ploidy BEFORE integer calls in tumors, centering on the true (non-diploid) mode before GISTIC2 recurrence, or routing cfDNA to ichorCNA. Hands mechanism to the copy-number component skills; not a re-teach of any single step. - capacity-planner
alirezarezvani/claude-skills · score 71/100 (grade C)
Use when an ops leader (Director of CX, Head of Support, VP Ops, Head of BizOps, Head of IT ops, Head of Finance ops) is sizing ops capacity, building a headcount plan, modeling utilization risk, planning Q3 capacity or annual support capacity, or designing CS coverage — and needs Erlang-C queueing math, P90 demand sizing, shrinkage-adjusted FTE, manager-trigger thresholds, and a quarterly hiring sequence with ramp + attrition. Apply when sustained team utilization is above 80% or when the team is growing more than 50% in 12 months. Run before committing the headcount budget. This is NOT engineering capacity (see vpe-advisor for DORA + cycle time) and NOT strategic 3-year workforce planning (see chro-advisor). - cfo-advisor
alirezarezvani/claude-skills · score 71/100 (grade C)
Financial leadership for startups and scaling companies. Financial modeling, unit economics, fundraising strategy, cash management, and board financial packages. Use when building financial models, analyzing unit economics, planning fundraising, managing cash runway, preparing board materials, or when user mentions CFO, burn rate, runway, fundraising, unit economics, LTV, CAC, term sheets, or financial strategy. - click-path-audit
affaan-m/ECC · score 71/100 (grade C)
Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores. - click-path-audit
affaan-m/everything-claude-code · score 71/100 (grade C)
Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores. - cold-email
alirezarezvani/claude-skills · score 71/100 (grade C)
When the user wants to write, improve, or build a sequence of B2B cold outreach emails to prospects who haven't asked to hear from them. Use when the user mentions 'cold email,' 'cold outreach,' 'prospecting emails,' 'SDR emails,' 'sales emails,' 'first touch email,' 'follow-up sequence,' or 'email prospecting.' Also use when they share an email draft that sounds too sales-y and needs to be humanized. Distinct from email-sequence (lifecycle/nurture to opted-in subscribers) — this is unsolicited outreach to new prospects. NOT for lifecycle emails, newsletters, or drip campaigns (use email-sequence). - cs-fullstack-engineer
alirezarezvani/claude-skills · score 71/100 (grade C)
Fullstack-engineering orchestrator. Walks the Matt Pocock 7-question forcing-question grill, runs the deterministic profile picker, then forks into the POWERFUL-tier specialists (api-design-reviewer, ci-cd-pipeline-builder, database-designer, performance-profiler, slo-architect — listed alphabetically; workflow order is dependency-driven) rather than reimplementing their scope. Forks own context so heavy ingestion does not pollute parent thread. Invoke via /cs-fullstack-review or Agent({subagent_type:"cs-fullstack-engineer",...}). - dataverse-python-production-code
github/awesome-copilot · score 71/100 (grade C)
Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices - debugging-toolkit
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Use when working with debugging toolkit smart debug (Alias for debugging-toolkit-smart-debug) - discord-bot-architect
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Specialized skill for building production-ready Discord bots. - distributed-debugging-debug-trace
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
You are a debugging expert specializing in setting up comprehensive debugging environments, distributed tracing, and diagnostic tools. Configure debugging workflows, implement tracing solutions, and establish troubleshooting practices for development and production environments. - docker-patterns
affaan-m/ECC · score 71/100 (grade C)
Docker and Docker Compose patterns for local development, hardened CLI installer harnesses, container security, networking, volumes, and multi-service orchestration. Use when creating or reviewing Dockerfiles and Compose services, testing installers across Linux distributions, or planning accurate native macOS and Windows validation. - docker-patterns
affaan-m/everything-claude-code · score 71/100 (grade C)
Docker and Docker Compose patterns for local development, hardened CLI installer harnesses, container security, networking, volumes, and multi-service orchestration. Use when creating or reviewing Dockerfiles and Compose services, testing installers across Linux distributions, or planning accurate native macOS and Windows validation. - dotnet-backend-patterns
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Master C#/.NET patterns for building production-grade APIs, MCP servers, and enterprise backends with modern best practices (2024/2025). - dotnet-reverse
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
.NET/C# binary reverse engineering: managed PE analysis, dnSpyEx debugging, de4dot deobfuscation (ConfuserEx/SmartAssembly/Babel), IL patching, NativeAOT targets, and analysis of red-team Sharp* tooling. - email-template-builder
alirezarezvani/claude-skills · score 71/100 (grade C)
Build complete transactional email systems: React Email templates, provider integration (Resend, Postmark, SendGrid, AWS SES), preview server, i18n support, dark mode, spam optimization, analytics tracking. Use when adding transactional email to a new product, migrating between email providers, refactoring legacy email templates for accessibility, or adding internationalization to existing templates. - error-debugging-error-analysis
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions. - error-handling-patterns
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Build resilient applications with robust error handling strategies that gracefully handle failures and provide excellent debugging experiences. - gemini-api
google/skills · score 71/100 (grade C)
Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI, Google Cloud, or Agent Platform. Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API. - generate-custom-instructions-from-codebase
github/awesome-copilot · score 71/100 (grade C)
Migration and code evolution instructions generator for GitHub Copilot. Analyzes differences between two project versions (branches, commits, or releases) to create precise instructions allowing Copilot to maintain consistency during technology migrations, major refactoring, or framework version upgrades. - golang-patterns
affaan-m/ECC · score 71/100 (grade C)
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications. Use when writing or reviewing Go code and idiomatic structure or conventions are in question. - golang-patterns
affaan-m/everything-claude-code · score 71/100 (grade C)
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications. Use when writing or reviewing Go code and idiomatic structure or conventions are in question. - google-analytics-admin-api-basics
google/skills · score 71/100 (grade C)
Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links. - growth-log
affaan-m/ECC · score 71/100 (grade C)
Write growth log entries that extract reusable patterns from completed work — root cause, transferable rule, and a recognizable signal — instead of diary-style event narration, with a 4-8 sentence template and merge-duplicates discipline. Use when capturing what was learned after a complex task, debugging session, failure, or rollback, when reviewing progress over a period, or when a delivery gate asks what was learned. - growth-log
affaan-m/everything-claude-code · score 71/100 (grade C)
Write growth log entries that extract reusable patterns from completed work — root cause, transferable rule, and a recognizable signal — instead of diary-style event narration, with a 4-8 sentence template and merge-duplicates discipline. Use when capturing what was learned after a complex task, debugging session, failure, or rollback, when reviewing progress over a period, or when a delivery gate asks what was learned. - hardware-security
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Authorized hardware and embedded interface security research: UART/JTAG discovery, debug-pad triage, secure-boot overview, and offline firmware analysis. - ink
google-labs-code/design.md · score 71/100 (grade C)
Ink terminal renderer for json-render that turns JSON specs into interactive terminal UIs. Use when working with @json-render/ink, building terminal UIs from JSON, creating terminal component catalogs, or rendering AI-generated specs in the terminal. - javascript-pro
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Master modern JavaScript with ES6+, async patterns, and Node.js APIs. Handles promises, event loops, and browser/Node compatibility. - kotlin-ktor-patterns
affaan-m/ECC · score 71/100 (grade C)
Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing. Use when building a Ktor server — routing, plugins, auth, DI, serialization, or tests. - kotlin-ktor-patterns
affaan-m/everything-claude-code · score 71/100 (grade C)
Ktor server patterns including routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSockets, and testApplication testing. Use when building a Ktor server — routing, plugins, auth, DI, serialization, or tests. - kubernetes-patterns
affaan-m/ECC · score 71/100 (grade C)
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. Use when writing or reviewing Kubernetes manifests, or debugging probes, RBAC, autoscaling, or resource limits. - kubernetes-patterns
affaan-m/everything-claude-code · score 71/100 (grade C)
Kubernetes workload patterns, resource management, RBAC, probes, autoscaling, ConfigMap/Secret handling, and kubectl debugging for production-grade deployments. Use when writing or reviewing Kubernetes manifests, or debugging probes, RBAC, autoscaling, or resource limits. - landing
alirezarezvani/claude-skills · score 71/100 (grade C)
Generates a premium single-page HTML landing page with 3D CSS animations, GSAP scroll effects, and mouse-parallax depth. Forcing intake (product + elevator pitch, audience register, brand overrides, tone) locks down positioning before any copy or markup is written, so the page reflects the actual product rather than generic boilerplate. Use whenever the user says 'landing for X', 'create a landing page', 'build a landing page', 'make a landing page for X', 'I need a web page for Y', or provides product/service details and wants a polished website. Also triggers on 'promotional page', 'product page', 'one-pager', 'web presence', 'sales page'. Outputs a single self-contained HTML file (Claude Code) or HTML artifact (Claude.ai). Supports configurable brand colors via CSS custom property overrides. - makepad-skills
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Makepad UI development skills for Rust apps: setup, patterns, shaders, packaging, and troubleshooting. - mantis-plan
google/mantis · score 71/100 (grade C)
Formulates a targeted defensive security reviewing plan based on the active threat model and historical learnings. Use when starting a security review campaign to map the codebase boundaries and generate a roadmap (workspace/plan.json). Don't use for executing code reviews, writing test scripts, or patching code. - market-research
alirezarezvani/claude-skills · score 71/100 (grade C)
Use when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) — this is the evidence-building methodology, not live-campaign optimization. - observability-engineer
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. - obsidian-cli
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Use the Obsidian CLI to read, create, search, and manage vault content, or to develop and debug Obsidian plugins and themes from the command line. - openai-docs
openai/skills · score 71/100 (grade C)
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade guidance; use OpenAI docs MCP tools for non-Codex docs questions, use the Codex manual helper first for broad Codex self-knowledge, and restrict fallback browsing to official OpenAI domains. - penpot-uiux-design
github/awesome-copilot · score 71/100 (grade C)
Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library". - personal-tool-builder
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Expert in building custom tools that solve your own problems first. - prototype
emilkowalski/skills · score 71/100 (grade C)
Build multiple genuinely different versions of a UI piece you describe, rendered behind a visual picker so you can flip through them live and promote the one that feels right. Only runs when explicitly invoked; it does not trigger on its own. - python-azure-iot-edge-modules
github/awesome-copilot · score 71/100 (grade C)
Build and operate Python Azure IoT Edge modules with robust messaging, deployment manifests, observability, and production readiness checks. - quality-manager-qms-iso13485
alirezarezvani/claude-skills · score 71/100 (grade C)
ISO 13485 Quality Management System implementation and maintenance for medical device organizations. Provides QMS design, documentation control, internal auditing, CAPA management, and certification support. Use when working with medical device quality systems, preparing for ISO 13485 audits, managing regulatory compliance documentation, setting up corrective actions, or building audit preparation programs. Useful for quality management, audit preparation, regulatory compliance, medical device documentation, and corrective action workflows. - roast
alirezarezvani/claude-skills · score 71/100 (grade C)
Use when someone asks to roast an idea, pressure-test or stress-test an idea, validate a business idea, "convene the panel", get a brutal second opinion before building something, or says "/roast". Spins up a 5-angle panel (Critic, Champion, Analyst, Investigator, Customer) that attacks the idea from every angle, then a Judge returns one GO / RESHAPE / KILL verdict with the cheapest test to de-risk it. - rust-async-patterns
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Master Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code. - scoutqa-test
github/awesome-copilot · score 71/100 (grade C)
This skill should be used when the user asks to "test this website", "run exploratory testing", "check for accessibility issues", "verify the login flow works", "find bugs on this page", or requests automated QA testing. Triggers on web application testing scenarios including smoke tests, accessibility audits, e-commerce flows, and user flow validation using ScoutQA CLI. Use this skill proactively after implementing web application features to verify they work correctly. - security-and-hardening
addyosmani/agent-skills · score 71/100 (grade C)
Hardens code against vulnerabilities. Use when auditing an input handler for vulnerabilities, when handling user input, authentication, data storage, or external integrations, or when checking a login flow is safe against the OWASP Top Ten. Use when building any feature that accepts untrusted data, manages user sessions, or interacts with third-party services. Use when auditing dependencies for known vulnerabilities, triaging package-manager audit findings, or assessing supply-chain risk in a new package. Use when personal data or privacy compliance (GDPR, CCPA) is involved. - security-best-practices
openai/skills · score 71/100 (grade C)
Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks. - security-ownership-map
openai/skills · score 71/100 (grade C)
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions. - security-review
github/awesome-copilot · score 71/100 (grade C)
AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust. - senior-data-engineer
alirezarezvani/claude-skills · score 71/100 (grade C)
Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues. - sentry
openai/skills · score 71/100 (grade C)
Use when the user asks to inspect Sentry issues or events, summarize recent production errors, or pull basic Sentry health data via the Sentry CLI; perform read-only queries using the `sentry` command. - setup-pre-commit
mattpocock/skills · score 71/100 (grade C)
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing. - simplify-codebase
tt-a1i/archify · score 71/100 (grade C)
Simplification audit or authorized codebase simplification whose stated objective is to remove accidental complexity. Use for evidence-backed deletion or consolidation of dead code, duplicate state, redundant APIs or layers, ownerless abstractions, obsolete compatibility or design records, and over-engineering in any language; also use for 代码简化 or 熵回收. Do not use for general code review, onboarding, style-only refactoring, or performance tuning. - sql-server-table-reconciliation
github/awesome-copilot · score 71/100 (grade C)
Use when: comparing SQL Server tables across instances, data migration validation, ETL verification, row mismatch detection, schema drift, reconciliation report, production vs staging comparison. Uses mssql-python driver with Apache Arrow for fast columnar data transfer and comparison. - swiftui-view-refactor
Dimillian/Skills · score 71/100 (grade C)
Refactor and review SwiftUI view files with strong defaults for small dedicated subviews, MV-over-MVVM data flow, stable view trees, explicit dependency injection, and correct Observation usage. Use when cleaning up a SwiftUI view, splitting long bodies, removing inline actions or side effects, reducing computed `some View` helpers, or standardizing `@Observable` and view model initialization patterns. - tdd
alirezarezvani/claude-skills · score 71/100 (grade C)
Run a red-green-refactor TDD workflow — generate failing tests first, implement to green, then check coverage gaps. Usage: /tdd <generate|coverage|validate> [target] - telegram-reader
himself65/finance-skills · score 71/100 (grade C)
Read Telegram channels and groups for financial news and market research with the tdl CLI: list chats and channels, find a channel by name, and export recent messages or a date or ID range. Use this skill whenever the user wants to check their Telegram, see what's new in their channels, read or export messages from a news, crypto, or trading channel or group, or gather market news and signals posted on Telegram. Read-only: it cannot send messages or join or leave channels. - threejs-game-director
majidmanzarpour/threejs-game-skills · score 71/100 (grade C)
Entrypoint for building, upgrading, and finishing Three.js browser games. Routes work across the sibling threejs-* skills for gameplay, graphics, UI, 3D/image/audio asset generation, debugging, and release. Use for any request to build, upgrade, polish, or ship a Three.js game as a whole, at any scope from a small arcade prototype to a premium release. - typescript-pro
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Master TypeScript with advanced types, generics, and strict type safety. Handles complex type systems, decorators, and enterprise-grade patterns. - uv-package-manager
Galaxy-Dawn/claude-scholar · score 71/100 (grade C)
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv. - v-development
github/awesome-copilot · score 71/100 (grade C)
Guide GitHub Copilot through V language development: installing the toolchain, project layout with v.mod, building, testing, formatting, and writing idiomatic V including Option/Result error handling. Use when the user works with V source files, v.mod projects, or asks about V syntax, tooling, and conventions. - video-editing
affaan-m/ECC · score 71/100 (grade C)
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content. - video-editing
affaan-m/everything-claude-code · score 71/100 (grade C)
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content. - voice-ai-development
sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Expert in building voice AI applications - from real-time voice - xcode-build-fixer
AvdLee/Xcode-Build-Optimization-Agent-Skill · score 71/100 (grade C)
Apply approved Xcode build optimization changes following best practices, then re-benchmark to verify improvement. Use when a developer has an approved optimization plan from xcode-build-orchestrator, wants to apply specific build fixes, needs help implementing build setting changes, script phase guards, source-level compilation fixes, or SPM restructuring that was recommended by an analysis skill. - agent-harness
alirezarezvani/claude-skills · score 70/100 (grade C)
Turn any domain folder of skills into a bounded agentic loop: compile a goal into a verifiable task plan, execute tasks with the domain's own tools, verify every task with machine-run checks, retry with caps, escalate to a human when budgets exhaust, and refuse to close until everything is verified or explicitly waived. Use when you want an agent or subagent to pick up a goal and drive it to a verified close across one of this repo's 18 domains ('run this goal through the engineering harness', 'set up an agentic loop for marketing work', 'make the finance domain self-verifying'). NOT for authoring Claude Code Workflow-tool .js scripts (workflow-builder), N-agent tournaments on one task (agenthub), single-file metric optimization (autoresearch-agent), or discovering published loop recipes (loop-library). - agent-platform-eval-flywheel
google/skills · score 70/100 (grade C)
Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy. - agent-security-hardening
affaan-m/ECC · score 70/100 (grade C)
Security hardening guidance for AI agent frameworks that process untrusted content, invoke tools, write workspace files, manage runtime identifiers, or handle credentials. Use when building or reviewing an agent runtime, autonomous worker, tool gateway, memory service, or multi-tenant agent deployment. Do not use for general web application security or offensive testing. - agent-security-hardening
affaan-m/everything-claude-code · score 70/100 (grade C)
Security hardening guidance for AI agent frameworks that process untrusted content, invoke tools, write workspace files, manage runtime identifiers, or handle credentials. Use when building or reviewing an agent runtime, autonomous worker, tool gateway, memory service, or multi-tenant agent deployment. Do not use for general web application security or offensive testing. - agent-sort
affaan-m/ECC · score 70/100 (grade C)
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle. - agent-sort
affaan-m/everything-claude-code · score 70/100 (grade C)
Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle. - agent-supply-chain
github/awesome-copilot · score 70/100 (grade C)
Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin" - ai-wrapper-product
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert in building products that wrap AI APIs (OpenAI, Anthropic, - api-design-principles
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time. - api-design-reviewer
alirezarezvani/claude-skills · score 70/100 (grade C)
Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team. - arize-experiment
github/awesome-copilot · score 70/100 (grade C)
Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy. - asc-notarization
rudrankriyam/app-store-connect-cli-skills · score 70/100 (grade C)
Archive, export, and notarize macOS apps using xcodebuild and asc. Use when you need to prepare a macOS app for distribution outside the App Store with Developer ID signing and Apple notarization. - attribution-setup
Eronred/aso-skills · score 70/100 (grade C)
When the user wants to set up, debug, or interpret app install attribution — including SKAdNetwork (SKAN), Apple's AdAttributionKit, Google Play Install Referrer, MMPs (AppsFlyer, Adjust, Singular, Branch, Kochava), deep links, deferred deep links, conversion values, postback windows, or privacy thresholds. Use when the user mentions "SKAdNetwork", "SKAN", "SKAN 4", "AdAttributionKit", "AAK", "MMP", "AppsFlyer", "Adjust", "Singular", "Branch", "attribution", "conversion value", "postback", "Install Referrer", "deferred deep link", "iOS 14.5", "ATT", "App Tracking Transparency", "IDFA", or "I can't measure my ad campaigns". For paid campaign strategy, see ua-campaign and apple-search-ads. For analytics events, see app-analytics. - audit-integrity
github/awesome-copilot · score 70/100 (grade C)
Enforce output quality, evidence verification, and quality gates across security audits. Use this skill when you perform SAST, SCA, threat modeling, or security code reviews. Use this skill to verify code locations and taint traces for all findings. Use this skill to prevent the suppression of valid security findings. Use this skill to evaluate reports against quality thresholds (score ≥ 8/10) before delivery. - azure-messaging-webpubsubservice-py
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Azure Web PubSub Service SDK for Python. Use for real-time messaging, WebSocket connections, and pub/sub patterns. - azure-monitor-opentelemetry-exporter-py
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application Insights. - bigquery-pipeline-audit
github/awesome-copilot · score 70/100 (grade C)
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations. - bio-compressed-files
GPTomics/bioSkills · score 70/100 (grade C)
Read, write, and index compressed sequence files (gzip, bzip2, xz, BGZF) with Biopython and bgzip/samtools. Use when working with .gz, .bz2, or .bgz sequence files, when random access into a compressed FASTA/FASTQ is needed, or when SeqIO.index/faidx/tabix rejects a plain .gz. Covers the BGZF-vs-gzip seekability asymmetry, the 'rt'-not-'rb' handle trap, virtual offsets, and gzip-to-BGZF conversion. - bio-data-visualization-volcano-and-ma-plots
GPTomics/bioSkills · score 70/100 (grade C)
Build volcano and MA plots from differential-expression / association results with LFC shrinkage, FDR-adjusted thresholds, sensible label placement, and axis-truncation conventions. Covers EnhancedVolcano, ggplot2, matplotlib, and the apeglm/ashr/normal shrinkage decision. Use when visualizing differential-expression results (RNA-seq, ChIP-seq, ATAC-seq, proteomics) or any per-feature effect-size + p-value table. - bio-filter-sequences
GPTomics/bioSkills · score 70/100 (grade C)
Filter and select sequences by criteria (length, ID, GC content, N content, motifs, patterns, description) using Biopython, streaming so large files never load into RAM. Use when subsetting a FASTA/FASTQ file, removing unwanted or low-quality records, or selecting records by specific criteria. Use the paired-end-fastq skill instead whenever the input is paired R1/R2 reads. - bio-genome-intervals-bedgraph-handling
GPTomics/bioSkills · score 70/100 (grade C)
Generates, normalizes, and converts bedGraph signal tracks (4-column chrom/start/end/value, 0-based half-open) with bedtools genomecov, deepTools bamCoverage/bamCompare/bigwigCompare, bedtools unionbedg, and UCSC bedGraphToBigWig. Covers why a raw coverage bedGraph is not comparable across samples until normalized, the CPM/RPKM/BPM/RPGC normalization menu and the conserved-total assumption that makes them wrong under a global perturbation, the strict sorted-non-overlapping-chrom.sizes bedGraphToBigWig contract that silently corrupts a bigWig, effective-genome-size selection, and bin-size aliasing. Use when building or normalizing a coverage/signal track from a BAM, comparing tracks across samples or conditions, converting bedGraph to a browser-ready bigWig, or diagnosing a track that looks plausible but reports wrong heights. - bio-local-blast
GPTomics/bioSkills · score 70/100 (grade C)
Build local BLAST databases and run searches using NCBI BLAST+ command-line tools. Use when running >50 queries, building custom databases with -parse_seqids and -taxid, downloading prebuilt NCBI databases via update_blastdb.pl, choosing -task variants (megablast/dc-megablast/blastn/blastn-short), tuning soft/hard masking, scaling threads, or extracting hits with blastdbcmd. Encodes BLAST v5 vs v4 database format, taxonomy filtering, makeblastdb pitfalls. - bio-molecular-io
GPTomics/bioSkills · score 70/100 (grade C)
Reads, writes, and converts molecular file formats (SMILES, InChI, SDF V2000/V3000, MOL2, PDB, and BinaryCIF) using RDKit and Open Babel with rigorous handling of aromaticity perception, stereochemistry, implicit/explicit hydrogens, kekulization, and salt/fragment separation. Use when loading chemical libraries, debugging parse failures, or preparing molecules for downstream standardization, descriptor calculation, or docking. - bio-pharmacophore-modeling
GPTomics/bioSkills · score 70/100 (grade C)
Builds and applies 3D pharmacophore models using RDKit Pharm3D, the apo2ph4 receptor-based workflow (Heider et al. 2023), Pharmer / Pharmit for search, and PharmacoForge for protein-pocket-conditioned pharmacophore generation (Flynn et al. 2025), covering ligand-based pharmacophores from active-set alignment and receptor-based pharmacophores from binding-pocket geometry. Explicitly handles feature types, geometric tolerances, partial matching, and pharmacophore-based virtual screening. Use when identifying scaffold-hopping candidates, building shape-and-feature search queries, or transferring SAR across chemotypes. - bio-qsar-modeling
GPTomics/bioSkills · score 70/100 (grade C)
Builds QSAR / QSPR models using chemprop D-MPNN, MolFormer, Uni-Mol, ChemBERTa, random forest baselines, and Gaussian processes with explicit handling of OECD 5 principles, applicability domain (kNN, leverage, conformal prediction, Mahalanobis), scaffold-balanced splits, ensemble uncertainty, calibration (Platt, isotonic), feature importance (SHAP, atomic attribution), and prospective validation. Use when building target-specific predictive models from in-house bioassay data, ADMET endpoints, or selectivity profiles. - bio-reporting-rmarkdown-reports
GPTomics/bioSkills · score 70/100 (grade C)
Creates reproducible R Markdown analysis reports (HTML, PDF, Word) with knitr, covering the render pipeline, the interactive-vs-knit session trap, cache invalidation, bookdown cross-references, parameterization, and environment pinning. Use when generating an R-based analysis report, debugging a report that knits differently than it runs interactively, or fixing caching or cross-references. - bio-retrosynthesis
GPTomics/bioSkills · score 70/100 (grade C)
Performs retrosynthetic planning using AiZynthFinder (template-based MCTS), maintained or version-pinned template-free models, ASKCOS, and emerging RetroSynFormer with explicit handling of route scoring, configurable MCTS rewards, building-block availability, and forward-prediction checks. Use when assessing synthetic feasibility of generated or selected molecules, planning multi-step syntheses, building synthesis-aware design pipelines, or screening libraries for retro-route feasibility. - bio-seq-objects
GPTomics/bioSkills · score 70/100 (grade C)
Create and manipulate Seq, MutableSeq, and SeqRecord objects using Biopython. Use when creating sequences from strings, modifying sequence data in-place, building annotated records for file output, or debugging post-1.78 Bio.Alphabet and immutability errors. - bio-single-cell-doublet-detection
GPTomics/bioSkills · score 70/100 (grade C)
Detect and remove doublets (two or more cells in one droplet) from single-cell RNA-seq using scDblFinder (R), Scrublet (Python), and DoubletFinder (R). Use when flagging artificial intermediate populations before clustering, setting the expected doublet rate from recovered-cell counts, running detection per sample before integration, choosing between simulate-and-score methods, or interpreting a non-bimodal score histogram. - bio-single-cell-markers-annotation
GPTomics/bioSkills · score 70/100 (grade C)
Detect cluster marker genes and assign manual cell type labels in single-cell RNA-seq using Scanpy (Python) and Seurat (R). Use when finding genes that distinguish clusters, ranking markers for annotation, scoring gene signatures, hand-labeling clusters, or deciding between Wilcoxon marker ranking and pseudobulk condition DE. - bio-transcription-translation
GPTomics/bioSkills · score 70/100 (grade C)
Transcribe DNA to RNA and translate to protein using Biopython, with NCBI codon-table selection, CDS validation, and six-frame ORF finding. Use when converting a CDS or ORF to its amino-acid sequence, selecting a non-standard (mitochondrial, bacterial, ciliate) genetic code, validating a coding sequence, or scanning all reading frames. - bio-workflows-gwas-pipeline
GPTomics/bioSkills · score 70/100 (grade C)
Orchestrates the GWAS pipeline from genotypes to association results, chaining PLINK2 QC (variant-then-sample missingness, controls-only HWE, KING relatedness), panel harmonization + joint phasing/imputation to dosages, long-range-LD-excluded PCA, and an engine chosen by sample structure (PLINK2-GLM / regenie / SAIGE / BOLT-LMM), with LDSC-intercept diagnostics. Use when committing the genome build + ancestry-matched imputation panel once (ancestry match > panel size), running the strand/allele harmonization gate (drop intermediate-frequency palindromes), imputing cases+controls TOGETHER on dosages, excluding long-range-LD regions before PCA, choosing an LMM when relatedness/structure is present (PCs cannot remove a covariance), or separating polygenicity from confounding via the LDSC intercept. Hands mechanism to the population-genetics and phasing-imputation component skills; not a re-teach of any single step. - bio-workflows-scrnaseq-pipeline
GPTomics/bioSkills · score 70/100 (grade C)
Orchestrates the end-to-end single-cell RNA-seq pipeline from 10x Cell Ranger output to annotated cell types, chaining ambient-RNA removal, doublet detection, MAD-adaptive QC, normalization, integration, clustering, marker annotation, and (separately) pseudobulk DE + differential abundance. Use when honoring the made-once counting commitments (reference build/Ensembl vintage, --include-introns, cell-calling, feature namespace), ordering correct-then-detect-then-normalize (ambient before doublet before normalize), running per-sample QC before merge, integrating-then-clustering (never testing on integrated values), aggregating to pseudobulk for condition DE instead of cells-as-replicates, or pairing DE with differential abundance. Hands mechanism to the single-cell component skills; not a re-teach of any single step. - blocking-io-guard
bytedance/deer-flow · score 70/100 (grade C)
Ensure async-path backend code that could block the asyncio event loop is protected by a teeth-verified runtime anchor in tests/blocking_io/. Use when changing backend Python under app/, packages/harness/deerflow/, or scripts/, when running a blocking-IO triage round over the whole repo, or when a reviewer/CI asks for blocking-IO coverage. Runs a deterministic scan (changed-lines or full-repo), routes each candidate, drafts/extends an anchor, and proves it fails when the blocking IO regresses. - bun-development
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Fast, modern JavaScript/TypeScript development with the Bun runtime, inspired by [oven-sh/bun](https://github.com/oven-sh/bun). - business-analyst
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. - churn-prevention
coreyhaines31/marketingskills · score 70/100 (grade C)
When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers or wants to build systems to prevent it. For post-cancel win-back email sequences, see emails. For in-app upgrade paywalls, see paywalls. - cloud-network-insights
google/skills · score 70/100 (grade C)
Guides and automates setup, onboarding, and synthetic monitoring operations for Cloud Network Insights in Google Cloud and Broadcom AppNeta. Use when enabling Cloud Network Insights, deploying or troubleshooting Monitoring Points across cloud and on-premises environments, configuring Network or Web monitoring policies and AppNeta alarm rules, configuring alert policies, querying path alarms and performance metrics, or verifying synthetic path reachability. Don't use for generic network observability, VPC Flow Logs, Cloud NAT, or VPC firewall debugging. - code-review-and-quality
addyosmani/agent-skills · score 70/100 (grade C)
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch. Use when asked to review a diff or a pull request, even when the diff is pasted inline. - company-os
alirezarezvani/claude-skills · score 70/100 (grade C)
The meta-framework for how a company runs — the connective tissue between all C-suite roles. Covers operating system selection (EOS, Scaling Up, OKR-native, hybrid), accountability charts, scorecards, meeting pulse, issue resolution, and 90-day rocks. Use when setting up company operations, selecting a management framework, designing meeting rhythms, building accountability systems, implementing OKRs, or when user mentions EOS, Scaling Up, operating system, L10 meetings, rocks, scorecard, accountability chart, or quarterly planning. - competitive-teardown
alirezarezvani/claude-skills · score 70/100 (grade C)
Analyzes competitor products and companies by synthesizing data from pricing pages, app store reviews, job postings, SEO signals, and social media into structured competitive intelligence. Produces feature comparison matrices scored across 12 dimensions, SWOT analyses, positioning maps, UX audits, pricing model breakdowns, action item roadmaps, and stakeholder presentation templates. Use when conducting competitor analysis, comparing products against competitors, researching the competitive landscape, building battle cards for sales, preparing for a product strategy or roadmap session, responding to a competitor's new feature or pricing change, or performing a quarterly competitive review. - convex
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Convex reactive backend expert: schema design, TypeScript functions, real-time subscriptions, auth, file storage, scheduling, and deployment. - copilot-cli-quickstart
github/awesome-copilot · score 70/100 (grade C)
Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say "start tutorial" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses CLI-specific tools (ask_user, sql, fetch_copilot_cli_documentation). - cs-senior-engineer
alirezarezvani/claude-skills · score 70/100 (grade C)
Senior Engineer agent for architecture decisions, code review, DevOps, and API design. Orchestrates engineering and engineering-team skills for technical implementation work. Spawn when users need system design, code quality review, CI/CD pipeline setup, or infrastructure decisions. - datalineage-summary
google/skills · score 70/100 (grade C)
Summarizes data lineage graphs on Google Cloud to help users debug data quality issues and understand data provenance for BigQuery and Cloud Storage. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead). - design-taste-frontend
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Use when building high-agency frontend interfaces with strict design taste, calibrated color, responsive layout, and motion rules. - figma-generate-library
openai/skills · score 70/100 (grade C)
Build or update a professional-grade design system in Figma from a codebase. Use when the user wants to create variables/tokens, build component libraries, set up theming (light/dark modes), document foundations, or reconcile gaps between code and Figma. This skill teaches WHAT to build and in WHAT ORDER — it complements the `figma-use` skill which teaches HOW to call the Plugin API. Both skills should be loaded together. - foundry-hosted-agent-copilotkit
github/awesome-copilot · score 70/100 (grade C)
Build and evolve agentic web apps that pair a CopilotKit React frontend with a Microsoft Agent Framework agent running as a Microsoft Foundry hosted agent, connected over the AG-UI protocol. Covers choosing the wiring, using Foundry-native primitives instead of hand-rolled plumbing, agent tools, human-in-the-loop approvals, generative UI and shared state, local run and azd deploy, debugging the event stream, and safe upgrades. - free-tools
coreyhaines31/marketingskills · score 70/100 (grade C)
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," "free resource," "ROI calculator," "grader tool," "audit tool," "should I build a free tool," or "tools for lead gen." Use this whenever someone wants to build something useful and give it away to attract leads or earn links. For downloadable content lead magnets (ebooks, checklists, templates), see lead-magnets. - frontend-design
anthropics/skills · score 70/100 (grade C)
Guidance for distinctive, intentional visual design when building new UI or reshaping an existing one. Helps with aesthetic direction, typography, and making choices that don't read as templated defaults. - frontend-mobile-development-component-scaffold
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Scaffold React and React Native components with TypeScript, accessibility, tests, styles, and documentation. - github-outside-sandbox
davidondrej/skills · score 70/100 (grade C)
Run Git and GitHub CLI commands on the host when sandboxing blocks Keychain auth, network access, or .git writes. Use for gh auth, repo/PR operations, index.lock, or permission errors; covers execution context only. - golang-pro
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Master Go 1.21+ with modern patterns, advanced concurrency, performance optimization, and production-ready microservices. - hallmark
Nutlope/hallmark · score 70/100 (grade C)
Design skill for websites and new pages that look designed, not generated. Use when the user asks to build or design something new, or names Hallmark. Never use it on an existing design unless the user names Hallmark, as in `/hallmark redesign <path>`. - healthcare-cdss-patterns
affaan-m/ECC · score 70/100 (grade C)
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows. Use when building clinical decision support — drug interaction checks, dose validation, clinical scoring, or alert severity. - healthcare-cdss-patterns
affaan-m/everything-claude-code · score 70/100 (grade C)
Clinical Decision Support System (CDSS) development patterns. Drug interaction checking, dose validation, clinical scoring (NEWS2, qSOFA), alert severity classification, and integration into EMR workflows. Use when building clinical decision support — drug interaction checks, dose validation, clinical scoring, or alert severity. - inbox-setup
alirezarezvani/claude-skills · score 70/100 (grade C)
One-time setup skill that builds a personalized inbox triage knowledge base via interactive interview. Interviews the user about their email patterns, business context, reply style, and priorities using grill-me discipline (one question at a time, forcing format where possible, dependency-ordered, each question explains why I'm asking), then generates the knowledge base files that power the companion 'inbox-triage' skill. Run this once before using inbox-triage for the first time. Re-run when business, pricing, or priorities change significantly. Triggers: 'set up my inbox', 'configure inbox triage', 'set up my email system', 'configure email triage', 'build my email knowledge base', 'initialize email management', 'set up inbox triage', 'onboard email triage', or any variation where someone wants to get the email triage system running for the first time. - intent-driven-development
affaan-m/ECC · score 70/100 (grade C)
Turn ambiguous or high-impact product and engineering changes into scoped, verifiable acceptance criteria before or alongside implementation. Use when a user asks to clarify a feature, define acceptance criteria, de-risk a security/data/migration/integration change, prepare implementation requirements for another agent, or make a complex request testable. Do not trigger for trivial edits, straightforward fixes, active debugging, code review, or implementation requests whose acceptance conditions are already clear unless the user explicitly invokes this skill. - intent-driven-development
affaan-m/everything-claude-code · score 70/100 (grade C)
Turn ambiguous or high-impact product and engineering changes into scoped, verifiable acceptance criteria before or alongside implementation. Use when a user asks to clarify a feature, define acceptance criteria, de-risk a security/data/migration/integration change, prepare implementation requirements for another agent, or make a complex request testable. Do not trigger for trivial edits, straightforward fixes, active debugging, code review, or implementation requests whose acceptance conditions are already clear unless the user explicitly invokes this skill. - interactive-portfolio
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert in building portfolios that actually land jobs and clients - - interview
alirezarezvani/claude-skills · score 70/100 (grade C)
Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT needing their API key yet. Use when the user says "help me scope an agent", "I have an idea for an agent", "what should this agent be", or when the orchestrator routes phase=interview. Drives the six intake slots (job, trigger, inputs, actions, definition-of-done, recurrence) via AskUserQuestion, maps them to primitives with interview_planner.py, assembles build-sheet.json with build_sheet_builder.py, and validates limits with primitives_validator.py. Connectors are mockable in v0 (schema-true custom tools); real MCP servers become v1 deferrals. Distinct from stage-launch (which turns the sheet into payloads). - interview-me
addyosmani/agent-skills · score 70/100 (grade C)
Extracts what the user actually wants instead of what they think they should want. Achieves this through one-question-at-a-time interview until ~95% confidence about the underlying intent. Use when an ask is underspecified ("build me X" without "for whom" or "why now"), when the user explicitly invokes ("interview me", "grill me", "are we sure?", "stress-test my thinking"), or when you catch yourself silently filling in ambiguous requirements before any plan, spec, or code exists. - java-development
github/awesome-copilot · score 70/100 (grade C)
Day-to-day plain Java development without a framework: Maven and Gradle usage and wrappers, project layout, dependency and vulnerability management, modern Java idioms by JDK version (records, sealed types, pattern matching, virtual threads), SLF4J logging, error and null handling, immutability, concurrency basics, static analysis and formatting (Spotless, Error Prone, -Xlint), packaging (jar, jlink, jpackage) and GitHub Actions CI. Use when writing, building, reviewing or maintaining ordinary Java code. - java-upgrade
github/awesome-copilot · score 70/100 (grade C)
Upgrade a Java project to a newer JDK (11 to 17, 17 to 21, 21 to 25) and adopt the new language and library features. Detects the current Java version from the build files, then loads only the matching per-version guide. Use when the user asks to upgrade Java, modernize Java code, or adopt records, sealed classes, pattern matching, virtual threads or other new Java features. For automated end-to-end upgrades see the modernize-java plugin. - javascript-mastery
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
33+ essential JavaScript concepts every developer should know, inspired by [33-js-concepts](https://github.com/leonardomso/33-js-concepts). - macos-screen-recorder
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
macOS screen recorder that captures the main display PLUS system audio via ScreenCaptureKit — no BlackHole/loopback driver, no sudo, just the standard Screen Recording permission. CLI-driven; fills the headless-screen-recording-with-system-sound gap QuickTime and `screencapture -v` can't. - manim-video
affaan-m/ECC · score 70/100 (grade C)
Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script. - manim-video
affaan-m/everything-claude-code · score 70/100 (grade C)
Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script. - mantis-history
google/mantis · score 70/100 (grade C)
Analyzes the repository's version control system (VCS) history to extract past vulnerabilities, security fixes, and vulnerability patterns. Use as an initial pre-processing step to build a historical vulnerabilities database (workspace/historical_learnings.jsonl) that informs subsequent stages about past issues and fixes. Don't use for code reviews, writing test scripts, or patching code. - markdown-to-html
github/awesome-copilot · score 70/100 (grade C)
Convert Markdown files to HTML similar to `marked.js`, `pandoc`, `gomarkdown/markdown`, or similar tools; or writing custom script to convert markdown to html and/or working on web template systems like `jekyll/jekyll`, `gohugoio/hugo`, or similar web templating systems that utilize markdown documents, converting them to html. Use when asked to "convert markdown to html", "transform md to html", "render markdown", "generate html from markdown", or when working with .md files and/or web a templating system that converts markdown to HTML output. Supports CLI and Node.js workflows with GFM, CommonMark, and standard Markdown flavors. - month-end-close
alirezarezvani/claude-skills · score 70/100 (grade C)
Use when running, planning or speeding up a month-end (or quarter-end) close — building or reviewing the close checklist and calendar, reconciling a bank statement or sub-ledger to the general ledger, writing or reviewing flux (variance) explanations, or finding why the close takes too many days. Orders close tasks by dependency and finds the critical path, proves each reconciliation and ages what is left, and refuses to sign off material fluctuations explained with boilerplate. - nasiko-control-plane
affaan-m/ECC · score 70/100 (grade C)
Manage the experimental Nasiko CLI lifecycle through ECC — read-only status checks, consent-gated install of the pinned qualified version with dry-run preview, and ownership-checked uninstall, under explicit telemetry and secrets boundaries. Use when the user asks to install, inspect, or remove the Nasiko CLI or check whether it is present. - nasiko-control-plane
affaan-m/everything-claude-code · score 70/100 (grade C)
Manage the experimental Nasiko CLI lifecycle through ECC — read-only status checks, consent-gated install of the pinned qualified version with dry-run preview, and ownership-checked uninstall, under explicit telemetry and secrets boundaries. Use when the user asks to install, inspect, or remove the Nasiko CLI or check whether it is present. - notion-template-business
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert in building and selling Notion templates as a business - not - odoo-rpc-api
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert on Odoo's external JSON-RPC and XML-RPC APIs. Covers authentication, model calls, record CRUD, and real-world integration examples in Python, JavaScript, and curl. - odoo-xml-views-builder
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert at building Odoo XML views: Form, List, Kanban, Search, Calendar, and Graph. Generates correct XML for Odoo 14-17 with proper visibility syntax. - orch-pipeline
affaan-m/ECC · score 70/100 (grade C)
Shared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-defect, orch-change-feature, orch-refine-code, or orch-build-mvp; read directly only when adding an orch operation or tuning shared phases. - orch-pipeline
affaan-m/everything-claude-code · score 70/100 (grade C)
Shared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-defect, orch-change-feature, orch-refine-code, or orch-build-mvp; read directly only when adding an orch operation or tuning shared phases. - osterwalder-canvas-architect
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Iterative consultant agent for building and validating logically consistent 9-block Business Model Canvases. - pricing-strategy
alirezarezvani/claude-skills · score 70/100 (grade C)
Design, optimize, and communicate SaaS pricing — tier structure, value metrics, pricing pages, and price increase strategy. Use when building a pricing model from scratch, redesigning existing pricing, planning a price increase, or improving a pricing page. Trigger keywords: pricing tiers, pricing page, price increase, packaging, value metric, per seat pricing, usage-based pricing, freemium, good-better-best, pricing strategy, monetization, pricing page conversion, Van Westendorp. NOT for broader product strategy — use product-strategist for that. NOT for customer success or renewals — use customer-success-manager for expansion revenue. - rag-engineer
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert in building Retrieval-Augmented Generation systems. Masters - react-native-dev
MiniMax-AI/skills · score 70/100 (grade C)
React Native and Expo development guide covering components, styling, animations, navigation, state management, forms, networking, performance optimization, testing, native capabilities, and engineering (project structure, deployment, SDK upgrades, CI/CD). Use when: building React Native or Expo apps, implementing animations or native UI, managing state, fetching data, writing tests, optimizing performance, deploying to App Store/Play Store, setting up CI/CD, upgrading Expo SDK, or configuring Tailwind/NativeWind. - refactor-method-complexity-reduce
github/awesome-copilot · score 70/100 (grade C)
Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods. - rust-mcp-server-generator
github/awesome-copilot · score 70/100 (grade C)
Generate a complete Rust Model Context Protocol server project with tools, prompts, resources, and tests using the official rmcp SDK - salary-negotiation-prep
Paramchoudhary/ResumeSkills · score 70/100 (grade C)
Research market rates, build negotiation strategy, and create counter-offer scripts - scroll-experience
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert in building immersive scroll-driven experiences - parallax - search-first
affaan-m/ECC · score 70/100 (grade C)
Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist. - search-first
affaan-m/everything-claude-code · score 70/100 (grade C)
Research-before-coding workflow: search npm/PyPI, MCP servers, skills, and GitHub for existing tools before writing custom code, then adopt, extend, or build. Launches the researcher agent for non-trivial needs. Use when starting a feature, adding a dependency or integration, or about to write a utility that may already exist. - skill-host-compat
affaan-m/ECC · score 70/100 (grade C)
Lint ECC skills for Codex/Cursor-safe frontmatter and Claude-only substitutions before a skill PR. - skill-host-compat
affaan-m/everything-claude-code · score 70/100 (grade C)
Lint ECC skills for Codex/Cursor-safe frontmatter and Claude-only substitutions before a skill PR. - skill-security-auditor
alirezarezvani/claude-skills · score 70/100 (grade C)
Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan". - swiftui-performance-audit
Dimillian/Skills · score 70/100 (grade C)
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient. - telegram-mini-app
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert in building Telegram Mini Apps (TWA) - web apps that run - terraform-aws-modules
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Terraform module creation for AWS — reusable modules, state management, and HCL best practices. Use when building or reviewing Terraform AWS infrastructure. - threat-modeling-expert
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Expert in threat modeling methodologies, security architecture review, and risk assessment. Masters STRIDE, PASTA, attack trees, and security requirement extraction. Use PROACTIVELY for security architecture reviews, threat identification, or building secure-by-design systems. - workload-manager-basics
google/skills · score 70/100 (grade C)
Use this skill to manage Google Cloud Workload Manager evaluations, rules, scanned resources, and validation results by using public client libraries and the REST API. Use when you need to inspect workload best-practice rules, create and run evaluations for Google Cloud general best practices, SAP, SQL Server, or custom organizational rules, review violations, export results to BigQuery, or automate Workload Manager through client libraries because no service-specific public CLI or MCP server is available. Don't use for general Google Compute Engine instance management, VPC configuration, or standard IAM auditing. - xcode-build-benchmark
AvdLee/Xcode-Build-Optimization-Agent-Skill · score 70/100 (grade C)
Benchmark Xcode clean and incremental builds with repeatable inputs, timing summaries, and timestamped `.build-benchmark/` artifacts. Use when a developer wants a baseline, wants to compare before and after changes, asks to measure build performance, mentions build times, build duration, how long builds take, or wants to know if builds got faster or slower. - xlsx
anthropics/skills · score 70/100 (grade C)
Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved. - yield-intelligence
sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Passive income portfolio analysis — activate when user asks about dividend yields, Treasury rates, REIT income, monthly passive income goals, or portfolio yield optimization. Scans 4 asset classes, ranks by risk-adjusted return, and builds allocations targeting a specific monthly income. - ab-testing
coreyhaines31/marketingskills · score 69/100 (grade C)
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program," or "experiment playbook." Use this whenever someone is comparing two approaches and wants to measure which performs better, or when they want to build a systematic experimentation practice. For tracking implementation, see analytics. For page-level conversion optimization, see cro. - agent-designer
alirezarezvani/claude-skills · score 69/100 (grade C)
Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas for agents, or evaluate agent execution logs for cost, latency, and failure bottlenecks. Examples: 'design an agent architecture for research automation', 'generate Anthropic tool schemas from these tool descriptions', 'analyze these agent run logs for bottlenecks'. NOT for Claude Code workflow files (use workflow-builder) or single-agent prompt design (use agent-workflow-designer). - agent-launcher-orchestrator
alirezarezvani/claude-skills · score 69/100 (grade C)
Use when a user wants to build, launch, grade, or schedule a Claude Managed Agent (CMA) in their own Anthropic account — "build me an agent", "launch this as a managed agent", "run this on a schedule", "grade my agent against a rubric", "set up a nightly worker". Reads the per-session goal (./my-agent/goal.json), routes deterministically to one of five phase sub-skills (interview → stage-launch → grade-iterate → run-without-you → wrap-up) via goal_router.py, and compiles the goal+phase into an execution shape (single-pass workflow / bounded grade→iterate loop / recurring cron deployment loop) via loop_compiler.py. Forks context so heavy intake (build sheets, payloads, eval cases) stays out of the parent thread. All launches are emitted as BYOK curl the user runs with their own key; no tool makes API calls. Inspired by anthropics/launch-your-agent (Apache-2.0). Distinct from engineering/agent-harness (generic domain loop) and engineering/write-a-skill (authors Claude Code skills, not CMAs). - agentic-eval
github/awesome-copilot · score 69/100 (grade C)
Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality - animate-expo
emilkowalski/skills · score 69/100 (grade C)
Build animations in React Native and Expo, making the decisions in the order that determines whether they feel right — should it animate, which thread it runs on, which properties, spring or timing, how the gesture hands off, how it degrades. Writes the implementation with Reanimated, Gesture Handler, Expo Router and expo-haptics. Use when animating anything in an Expo app, adding gestures, sheets, screen transitions, press feedback or haptics, or fixing motion that stutters on device. For web animation use `animate`. - arize-trace
github/awesome-copilot · score 69/100 (grade C)
Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions. - arquiteto-de-empresa
alirezarezvani/claude-skills · score 69/100 (grade C)
Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle — a tree of version-controllable .md files with frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, few questions per block, and generates the concepts as conformant markdown. Trigger when the user wants to create, structure, or document an entire company in folders and .md files; when they mention build my company from scratch, company as code, company knowledge base for AI to read, company wiki for agents, OKF, or knowledge bundle. In English. - asc-wall-submit
rudrankriyam/app-store-connect-cli-skills · score 69/100 (grade C)
Submit or update a Wall of Apps entry in the App-Store-Connect-CLI repository using `asc apps wall submit`. Use when the user says "submit to wall of apps", "add my app to the wall", or "wall-of-apps". - bb-cli
davidondrej/skills · score 69/100 (grade C)
Use this when controlling bb. The bb CLI inspects and manages threads, environments, projects, machines, providers, skills, plugins, settings, terminals, and other BB services. - bio-batch-processing
GPTomics/bioSkills · score 69/100 (grade C)
Process many sequence files in batch (count, merge, split, convert, summarize) with memory-safe streaming and on-disk indexing using Biopython, pysam, or pyfastx. Use when iterating over a directory of FASTA/FASTQ files, merging or splitting datasets, building random access across many or huge files, or automating per-file operations without exhausting RAM. - bio-consensus-sequences
GPTomics/bioSkills · score 69/100 (grade C)
Generate consensus FASTA sequences by applying VCF variants onto a reference with bcftools consensus, or build viral/amplicon consensus with iVar. Use when reconstructing a sample-specific reference or haplotype, deciding -H haplotype vs IUPAC vs all-ALT projection, masking no-coverage sites so a consensus does not manufacture false reference calls, or setting iVar min-depth/min-frequency policy for surveillance genomes. - bio-crispr-screens-mageck-analysis
GPTomics/bioSkills · score 69/100 (grade C)
Analyzes pooled CRISPR screens with MAGeCK (Li et al 2014), covering count generation (mageck count), the RRA two-condition workflow (mageck test using alpha-RRA over per-sgRNA negative-binomial p-values), the MLE multi-condition workflow (mageck mle with explicit design matrix and beta-score output), normalization choice (median vs total vs control-sgRNA vs spike-in), sgRNA efficiency injection, paired-sample testing, time-course design, drug-screen versus dropout-screen design matrices, MAGeCKFlute and MAGeCK-VISPR downstream visualization, and decision logic for when to use MAGeCK vs JACKS / BAGEL2 / drugZ / Chronos. Use when running a fresh CRISPR screen analysis, picking RRA vs MLE for the experimental design, choosing a normalization method from QC signatures, debugging MLE convergence failure or NaN beta scores, comparing MAGeCK output across tools, or building a batch-aware multi-cell-line / multi-condition MLE design matrix. - bio-data-visualization-genome-tracks
GPTomics/bioSkills · score 69/100 (grade C)
Build genome-browser-style multi-track figures with pyGenomeTracks (config-driven), Gviz (R), and IGV batch screenshotting. Covers BigWig coverage tracks, BED/peak overlays, gene-model rendering, Hi-C matrix tracks, BedPE link arcs, spike-in-aware normalization, and the bamCoverage --normalizeUsing trap. Use when producing publication figures of genomic loci with stacked aligned tracks (coverage, peaks, genes, interactions) for ChIP-seq, ATAC-seq, RNA-seq, Hi-C, or generic locus visualization. - bio-data-visualization-matplotlib-fundamentals
GPTomics/bioSkills · score 69/100 (grade C)
Build publication-quality figures with matplotlib using the object-oriented Figure/Axes API, constrained_layout, rcParams customization, TrueType (Type-42) font embedding for journal submission, and CVD-safe palettes. Covers seaborn integration, common chart types, axis formatting, and the small gotchas that distinguish reproducible matplotlib from notebook scratch. Use when producing publication figures in Python — RNA-seq scatter, single-cell embeddings, generic biological plotting. - bio-entrez-fetch
GPTomics/bioSkills · score 69/100 (grade C)
Retrieve records from NCBI databases using Biopython Bio.Entrez (EFetch, ESummary). Use when downloading sequences, fetching GenBank/GenPept records, getting document summaries, parsing nested XML, navigating GI deprecation, choosing between rettype+retmode combinations, and parsing into Biopython SeqRecord/SwissProt objects. Covers nucleotide, protein, gene, pubmed, sra, gds, taxonomy, snp, clinvar. - bio-flow-cytometry-fcs-handling
GPTomics/bioSkills · score 69/100 (grade C)
Reads, inspects, and writes Flow Cytometry Standard (FCS) files from conventional, spectral, and mass cytometry (CyTOF), and parses FlowJo/Cytobank/Diva workspaces. Covers FCS 2.0/3.0/3.1/3.2 internals ($PnE linear-vs-log, $DATATYPE, $SPILLOVER vs SPILL vs $COMP, $TIMESTEP), channel/parameter metadata, the silent linearize/truncate defaults, and R (flowCore, flowWorkspace, CytoML) plus Python (FlowKit, readfcs) readers. Use when loading flow or mass cytometry data, mapping detector channels to antibodies, extracting the event matrix, choosing a reader, or bridging FCS to the scanpy/AnnData ecosystem before preprocessing. - bio-metabolomics-statistical-analysis
GPTomics/bioSkills · score 69/100 (grade C)
Decision-grade statistical analysis for metabolomics intensity tables. Covers transformation and scaling (Pareto vs unit-variance as a hidden hypothesis), unsupervised structure (PCA/HCA for QC), permutation-validated PLS-DA/OPLS-DA (R2 vs Q2, double CV, VIP as heuristic), univariate testing (Welch/Mann-Whitney/ANOVA/LMM with covariate adjustment), and dependence-aware multiple testing. Use when testing which metabolites differ, building or validating a discriminant model, choosing a scaling, or correcting many correlated tests. For sample-wise normalization/drift correction see metabolomics/normalization-qc; for ML classifiers and selection-inside-CV leakage see machine-learning/biomarker-discovery and machine-learning/model-validation; for pathway interpretation see metabolomics/pathway-mapping; for design/power/multiplicity regime see experimental-design/multiple-testing. - bio-reporting-jupyter-reports
GPTomics/bioSkills · score 69/100 (grade C)
Runs parameterized Jupyter notebooks as reproducible batch report generators with papermill, renders them to HTML/PDF with nbconvert, aggregates results across samples, and makes notebook outputs trustworthy. Use when generating per-sample analysis reports, executing a notebook template across many datasets, or fixing notebooks that do not reproduce. - bio-reporting-publication-tables
GPTomics/bioSkills · score 69/100 (grade C)
Builds publication-ready tables - descriptive Table 1, regression and differential-expression result tables, and supplementary tables - with gtsummary, gt, flextable, and kableExtra (R) or great_tables, pandas, and tableone (Python), choosing the right statistics and the right export format. Use when making a Table 1, exporting a formatted results table for a paper, or writing a gene-symbol-safe supplementary table. - bio-reporting-quarto-reports
GPTomics/bioSkills · score 69/100 (grade C)
Builds reproducible Quarto reports, presentations, and websites across R, Python, and Julia, with correct engine selection, cache-vs-freeze semantics, native cross-references, parameters, and environment pinning. Use when creating a Quarto report of an analysis, setting up freeze for CI, or debugging cross-references, caching, or working-directory issues. - bio-restriction-enzyme-selection
GPTomics/bioSkills · score 69/100 (grade C)
Select restriction enzymes for cloning or diagnostics using Biopython Bio.Restriction. Finds enzymes by cut frequency, overhang type, recognition-site length, commercial availability, compatible ends, and methylation sensitivity, and identifies isoschizomers and compatible pairs. Use when choosing which enzymes to use to linearize a vector, drop in an insert, set up a diagnostic digest, or pick a methylation-insensitive enzyme. - bio-restriction-fragment-analysis
GPTomics/bioSkills · score 69/100 (grade C)
Predict restriction digest fragment sizes and gel patterns using Biopython Bio.Restriction. Computes fragment lengths and sequences for single and double digests on linear or circular DNA, and interprets them against an agarose gel. Use when predicting the fragments from a digest, planning a diagnostic digest to verify a clone, or matching observed gel bands to an expected pattern. - bio-sequence-properties
GPTomics/bioSkills · score 69/100 (grade C)
Calculate nucleotide and protein sequence properties (GC content, GC skew, molecular weight, melting temperature, isoelectric point, instability, hydropathy) with Biopython. Use when analyzing sequence composition, computing primer Tm, estimating DNA or protein mass, or profiling protein biophysical properties. - bio-single-cell-preprocessing
GPTomics/bioSkills · score 69/100 (grade C)
Quality control, ambient-RNA handling, normalization, and feature selection for single-cell RNA-seq using Scanpy (Python) and Seurat (R). Use when filtering low-quality cells with MAD-adaptive thresholds, setting tissue-aware mito cutoffs, removing ambient RNA (SoupX/CellBender/DecontX), choosing a normalization (shifted-log vs scran vs sctransform vs Pearson residuals), selecting highly variable genes, or deciding whether to scale and regress out covariates. - bio-workflow-management-cwl-workflows
GPTomics/bioSkills · score 69/100 (grade C)
Authors portable, strongly-typed bioinformatics pipelines in the Common Workflow Language (CWL v1.2) as CommandLineTool/Workflow/ExpressionTool documents, validated with cwltool and run at scale on Toil/Arvados/Calrissian. Use when deciding CWL (portability/provenance/regulated) vs Nextflow/WDL/Snakemake; declaring secondaryFiles for indexed companions (.bai/.fai/.dict/.tbi and the caret rule); putting resources/containers under requirements (must-hold) vs hints (advisory) to avoid silent OOM; choosing scatterMethod (dotproduct vs flat_/nested_crossproduct); preferring $(...) parameter refs over ${...} JavaScript for portability; pinning DockerRequirement images; or emitting a CWLProv provenance object for audited/clinical settings. - bio-workflows-atacseq-pipeline
GPTomics/bioSkills · score 69/100 (grade C)
Orchestrates the end-to-end bulk ATAC-seq pipeline from FASTQ to differential accessibility and TF footprints, chaining Nextera-aware fastp QC, Bowtie2 alignment, chrM removal, dedup, a single Tn5 +4/-5 shift, MACS3 peak calling, Corces fixed-width consensus, DiffBind/csaw differential accessibility, and TOBIAS footprinting. Use when committing the reference build + blacklist once, recognizing ATAC has NO input control (the shift-extend model IS the background), applying the Tn5 shift exactly once (never combining -f BAMPE with --shift/--extsize), removing chrM before calling, building a fixed-width consensus so per-sample counts are comparable, or choosing MACS3 vs Genrich vs HMMRATAC. Hands mechanism to the atac-seq component skills; not a re-teach of any single step. - bio-workflows-spatial-pipeline
GPTomics/bioSkills · score 69/100 (grade C)
Orchestrates the end-to-end spatial transcriptomics pipeline from Space Ranger / vendor output to spatial domains and statistics, branching FIRST on platform class (imaging in-situ Xenium/MERFISH/CosMx vs sequencing/capture Visium/Visium HD/Slide-seq). Use when deciding segmentation-vs-deconvolution and the QC floors from the platform class, committing the coordinate/image-registration frame and panel identity, deconvolving multi-cell spots against an annotated scRNA reference (never relabeling spot clusters as cell types), building the spatial neighbor graph on PHYSICAL not expression space, gating spatially-variable genes on FDR, or using a real domain method (BANKSY/BayesSpace/STAGATE) rather than clustering the spatial graph alone. Hands off deconvolution and cell-cell communication to the component skills; not a re-teach of any single step. - blueprint
affaan-m/ECC · score 69/100 (grade C)
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects: one-PR-sized steps with self-contained context briefs, dependency graph with parallel-step detection, adversarial review gate, and plan mutation protocol. Use when planning a large feature, refactor, or roadmap that spans multiple PRs or sessions; not for single-PR tasks or when the user says \"just do it\". - blueprint
affaan-m/everything-claude-code · score 69/100 (grade C)
Turn a one-line objective into a step-by-step construction plan for multi-session, multi-agent engineering projects: one-PR-sized steps with self-contained context briefs, dependency graph with parallel-step detection, adversarial review gate, and plan mutation protocol. Use when planning a large feature, refactor, or roadmap that spans multiple PRs or sessions; not for single-PR tasks or when the user says \"just do it\". - browser-automation
alirezarezvani/claude-skills · score 69/100 (grade C)
Use when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that. - browser-skill
Tencent/BrowserSkill · score 69/100 (grade C)
Automate the user's logged-in Chromium browser: read pages, fill forms, scrape data, operate tabs, test a UI, or debug a website. Requires the bsk CLI and browser extension. - cloud-monitoring-list-time-series-request
google/skills · score 69/100 (grade C)
Generates valid Cloud Monitoring ListTimeSeries requests and aggregation specifications from metric descriptors and resource parameters. Use when asked to create, generate, format, or build ListTimeSeries requests, JSON payloads, filter expressions, or aligner/reducer aggregations for Cloud Monitoring metrics and charts. Don't use for metric discovery or metric selection. - codeql
github/awesome-copilot · score 69/100 (grade C)
Comprehensive guide for setting up and configuring CodeQL code scanning via GitHub Actions workflows and the CodeQL CLI. This skill should be used when users need help with code scanning configuration, CodeQL workflow files, CodeQL CLI commands, SARIF output, security analysis setup, or troubleshooting CodeQL analysis. - confluence-expert
alirezarezvani/claude-skills · score 69/100 (grade C)
Atlassian Confluence expert for creating and managing spaces, knowledge bases, and documentation. Configures space permissions and hierarchies, creates page templates with macros, sets up documentation taxonomies, designs page layouts, and manages content governance. Use when users need to build or restructure a Confluence space, design page hierarchies with permission structures, author or standardise documentation templates, embed Jira reports in pages, run knowledge base audits, or establish documentation standards and collaborative workflows. - content-management-systems
github/awesome-copilot · score 69/100 (grade C)
Workflow for building and modifying content management systems across WordPress, Shopify, Wix, Squarespace, Drupal, WooCommerce, Joomla, HubSpot CMS Hub, Webflow, Adobe Experience Manager, and similar platforms. Use when working on CMS themes, plugins, apps, modules, admin panels, media uploads, content models, editors, markdown pipelines, or static export workflows. - cto-review
alirezarezvani/claude-skills · score 69/100 (grade C)
/c-level-agents:cto-review [plan] — Architecture and scaling interrogation. Tech debt, scaling cliffs, team scaling, build-vs-buy. Use when committing to an architecture, planning for 10x load, or weighing a rebuild against a vendor. - database-optimizer
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures. - dbt-transformation-patterns
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Production-ready patterns for dbt (data build tool) including model organization, testing strategies, documentation, and incremental processing. - debugging-and-error-recovery
addyosmani/agent-skills · score 69/100 (grade C)
Guides systematic root-cause debugging. Use when tests fail, builds break, something that worked yesterday broke, behavior doesn't match expectations, or you encounter any unexpected error. Use when you need to figure out what broke and why — a systematic approach to finding and fixing the root cause rather than guessing. - developing-genkit-go
google/skills · score 69/100 (grade C)
Develop AI-powered applications using Genkit in Go. Use when the user asks to build AI features, agents, flows, or tools in Go using Genkit, or when working with Genkit Go code involving generation, prompts, streaming, tool calling, or model providers. - dpop-adoption
google/skills · score 69/100 (grade C)
Implement and debug OAuth 2.0 DPoP (RFC 9449) refresh token sender-constraining for WebCrypto, Node.js ES6, and browser runtimes integrating with Google's OAuth platform. Use when configuring non-extractable asymmetric key pairs (P-256), generating DPoP Proof JWTs for authorization code exchange and token refresh, or handling 400 use_dpop_nonce challenge retry loops at oauth2.googleapis.com/token. Don't use for unconstrained OAuth 2.0 flows (where refresh tokens are not bound to a client key pair), or for Google Cloud IAM / service account authentication. - error-debugging-error-trace
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues. - figma-generate-design
openai/skills · score 69/100 (grade C)
Use this skill alongside figma-use when the task involves translating an application page, view, or multi-section layout into Figma. Triggers: 'write to Figma', 'create in Figma from code', 'push page to Figma', 'take this app/page and build it in Figma', 'create a screen', 'build a landing page in Figma', 'update the Figma screen to match code'. This is the preferred workflow skill whenever the user wants to build or update a full page, screen, or view in Figma from code or a description. Discovers design system components, variables, and styles via search_design_system, imports them, and assembles screens incrementally section-by-section using design system tokens instead of hardcoded values. - figma-use
openai/skills · score 69/100 (grade C)
**MANDATORY prerequisite** — you MUST invoke this skill BEFORE every `use_figma` tool call. NEVER call `use_figma` directly without loading this skill first. Skipping it causes common, hard-to-debug failures. Trigger whenever the user wants to perform a write action or a unique read action that requires JavaScript execution in the Figma file context — e.g. create/edit/delete nodes, set up variables or tokens, build components and variants, modify auto-layout or fills, bind variables to properties, or inspect file structure programmatically. - flutter-dart-code-review
affaan-m/ECC · score 69/100 (grade C)
Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture. Use when reviewing Flutter or Dart code, whatever state management library the project uses. - flutter-dart-code-review
affaan-m/everything-claude-code · score 69/100 (grade C)
Library-agnostic Flutter/Dart code review checklist covering widget best practices, state management patterns (BLoC, Riverpod, Provider, GetX, MobX, Signals), Dart idioms, performance, accessibility, security, and clean architecture. Use when reviewing Flutter or Dart code, whatever state management library the project uses. - frontend-a11y
affaan-m/ECC · score 69/100 (grade C)
Accessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building or reviewing forms, modals, dropdowns, tooltips, or tabs, fixing a11y lint or code-review findings, or wiring up keyboard navigation and focus management. - frontend-a11y
affaan-m/everything-claude-code · score 69/100 (grade C)
Accessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building or reviewing forms, modals, dropdowns, tooltips, or tabs, fixing a11y lint or code-review findings, or wiring up keyboard navigation and focus management. - frontend-design
bytedance/deer-flow · score 69/100 (grade C)
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics. - github-actions-hardening
github/awesome-copilot · score 69/100 (grade C)
Security hardening reviewer for GitHub Actions workflow files (.github/workflows/*.yml). Reasons about the Actions threat model that pattern matchers and general code linters miss — untrusted-input script injection, privileged triggers running fork code, mutable action references, and over-scoped tokens. Use this skill when asked to review, audit, harden, or secure a GitHub Actions workflow, when writing a new workflow, or for any request like "is this workflow safe?", "review my CI for security issues", "why is pull_request_target dangerous here?", "pin my actions", or "lock down GITHUB_TOKEN permissions". Covers script injection via ${{ }} interpolation, pull_request_target / workflow_run privilege escalation, SHA-pinning of third-party actions, least-privilege permissions, GITHUB_ENV/GITHUB_OUTPUT injection, secret exposure, OIDC over long-lived credentials, and self-hosted runner exposure on public repositories. - go-concurrency-patterns
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions. - healthcare-emr-patterns
affaan-m/ECC · score 69/100 (grade C)
EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry. Use when building EMR or EHR features such as encounter workflows, prescription generation, or clinical data entry UI. - healthcare-emr-patterns
affaan-m/everything-claude-code · score 69/100 (grade C)
EMR/EHR development patterns for healthcare applications. Clinical safety, encounter workflows, prescription generation, clinical decision support integration, and accessibility-first UI for medical data entry. Use when building EMR or EHR features such as encounter workflows, prescription generation, or clinical data entry UI. - hybrid-search-implementation
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Combine vector and keyword search for improved retrieval. Use when implementing RAG systems, building search engines, or when neither approach alone provides sufficient recall. - interview-system-designer
alirezarezvani/claude-skills · score 69/100 (grade C)
This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview questions", "design competency matrices", "analyze interviewer bias", "create scoring rubrics", "build question banks", or "optimize hiring systems". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems. - ito-baskets
affaan-m/ECC · score 69/100 (grade C)
Read-only Itô basket and prediction-market data skill. Index the live basket catalog, compare a basket against user-supplied research or a watchlist, build a source-grounded market brief, or draft a non-executable planning worksheet. Use when a user asks to browse or index Itô baskets, compare a basket against notes or a thesis, research prediction-market events/venues/liquidity, or plan a basket or market idea without trading. Never advises, orders, trades, reserves, or executes. - ito-baskets
affaan-m/everything-claude-code · score 69/100 (grade C)
Read-only Itô basket and prediction-market data skill. Index the live basket catalog, compare a basket against user-supplied research or a watchlist, build a source-grounded market brief, or draft a non-executable planning worksheet. Use when a user asks to browse or index Itô baskets, compare a basket against notes or a thesis, research prediction-market events/venues/liquidity, or plan a basket or market idea without trading. Never advises, orders, trades, reserves, or executes. - kimi-review
davidondrej/skills · score 69/100 (grade C)
Launch an independent Kimi K3.1 Pro Max code review and return it verbatim, falling back across harnesses and routes until one works. Use only when the user explicitly invokes /kimi-review. - kotlin-patterns
affaan-m/ECC · score 69/100 (grade C)
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders. Use when writing or reviewing Kotlin code and idiomatic structure or null safety is in question. - kotlin-patterns
affaan-m/everything-claude-code · score 69/100 (grade C)
Idiomatic Kotlin patterns, best practices, and conventions for building robust, efficient, and maintainable Kotlin applications with coroutines, null safety, and DSL builders. Use when writing or reviewing Kotlin code and idiomatic structure or null safety is in question. - legacy-circuit-mockups
github/awesome-copilot · score 69/100 (grade C)
Generate breadboard circuit mockups and visual diagrams using HTML5 Canvas drawing techniques. Use when asked to create circuit layouts, visualize electronic component placements, draw breadboard diagrams, mockup 6502 builds, generate retro computer schematics, or design vintage electronics projects. Supports 555 timers, W65C02S microprocessors, 28C256 EEPROMs, W65C22 VIA chips, 7400-series logic gates, LEDs, resistors, capacitors, switches, buttons, crystals, and wires. - linkedin-content
alirezarezvani/claude-skills · score 69/100 (grade C)
Use when someone wants to write, edit, or lint a LinkedIn post — a story, how-to, opinion piece, carousel script, video script, or poll — or wants an article, talk, or transcript repurposed into posts. Triggers on "write a LinkedIn post", "is this hook any good", "review my post", "turn this into LinkedIn posts", "carousel", "what format should this be". Lints posts 0-100 on mechanics, hook, integrity, and accessibility; picks the format the material actually supports; and splits long sources into standalone units with a reuse ledger. - linkedin-engagement
alirezarezvani/claude-skills · score 69/100 (grade C)
Use when someone wants to grow reach through comments, replies, groups, or outreach on LinkedIn — a commenting roster, a connection request note, a DM or InMail, a networking plan, or a check on whether their outreach volume is safe. Triggers on "who should I engage with", "write a connection request", "cold DM", "LinkedIn outreach", "networking strategy", "how many invites can I send". Builds a weekly comment roster inside a real time budget, assembles one message at a time and refuses templates, and caps volume against LinkedIn's limits. Nothing is ever sent. - managed-airflow-dag-authoring
google/skills · score 69/100 (grade C)
Provides guidance for authoring Apache Airflow DAGs in Managed Service for Apache Airflow (MSAA; formerly Cloud Composer). Covers environment context discovery, Airflow 2 vs 3 compatibility, authoring best practices, and local/remote validation processes. Use when creating or extending an Airflow DAG. Don't use when authoring Python code unrelated to Airflow DAGs. - marketing-skills
alirezarezvani/claude-skills · score 69/100 (grade C)
Directory and router for the marketing skills library. Use when you need to find the right marketing skill for a task, see what marketing capabilities exist, or get oriented in this plugin. 44 specialist skills across 8 pods (content, SEO + AEO, CRO, channels, growth, intelligence, sales enablement, ops), 59 stdlib Python tools. Routes to one skill — it does not execute marketing work itself. - md-document
alirezarezvani/claude-skills · score 69/100 (grade C)
Converts long-form markdown (specs, RFCs, reports, plans, explainers) into a single-file, lightly-interactive HTML document with sticky TOC, scrollspy, search filter, code-copy buttons, and design-system-driven brand tokens. Triggers when the markdown-html-orchestrator classifies an input as DOCUMENT, or when invoked directly via /cs-md-document. Reads the design-system config via config_loader.py and inlines the user's 12 derived CSS custom properties; refuses to render if onboarding hasn't run. Single-file output — Google Fonts + Prism.js CDN are the only externals; no framework runtime, no build step. Use after orchestrator routing or after design-system onboarding is confirmed. - microservices-patterns
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Master microservices architecture patterns including service boundaries, inter-service communication, data management, and resilience patterns for building distributed systems. - monorepo-management
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Build efficient, scalable monorepos that enable code sharing, consistent tooling, and atomic changes across multiple packages and applications. - nature-writing
Galaxy-Dawn/claude-scholar · score 69/100 (grade C)
Draft, restructure, or plan Nature-style manuscript sections from author-provided claims, results, figures, notes, or Chinese drafts. Use when the user wants to write or rebuild an abstract, introduction, results narrative, discussion, conclusion, title, or full manuscript argument rather than only polish finished prose. - noob-mode
github/awesome-copilot · score 69/100 (grade C)
Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators. - process-mapper
alirezarezvani/claude-skills · score 69/100 (grade C)
Use when a BizOps lead, COO, or process-improvement owner needs to document an end-to-end business process (procurement, employee onboarding, incident handoff, customer-onboarding, claims adjudication) in BPMN-style notation, measure cycle times by stage, surface where work spends most of its time waiting vs. being worked, and quantify the gap between processing time and total elapsed time. Pairs Lean / Six Sigma / Theory-of-Constraints canon with deterministic stdlib-only Python tools to produce a process map, a ranked bottleneck list (with severity + root-cause hypothesis), and a cycle-time analysis (P50, P90, value-add ratio, Little's-Law throughput). Distinct from sales-pipeline, system-reliability (SLO), and strategic-OKR work — this is tactical process documentation for internal operations. - product-lens
affaan-m/ECC · score 69/100 (grade C)
Validate the why before building through four product diagnostics — a YC-style product diagnostic that produces PRODUCT-BRIEF.md with a go/no-go recommendation, a founder review scoring product-market-fit signals, a user journey audit measuring time-to-value, and ICE feature prioritization. Use when pressure-testing product direction, choosing between features, sanity-checking a launch, or converting a vague idea into a product brief. - product-lens
affaan-m/everything-claude-code · score 69/100 (grade C)
Validate the why before building through four product diagnostics — a YC-style product diagnostic that produces PRODUCT-BRIEF.md with a go/no-go recommendation, a founder review scoring product-market-fit signals, a user journey audit measuring time-to-value, and ICE feature prioritization. Use when pressure-testing product direction, choosing between features, sanity-checking a launch, or converting a vague idea into a product brief. - red-green-proof
alirezarezvani/claude-skills · score 69/100 (grade C)
Turns a suspected bug into a proven one. Verify the cause against reality before claiming it, write a test that FAILS on the current code, apply the fix, watch it pass — then revert the fix and confirm the test goes red again, because a test that passes both ways proves nothing. Invoked bare after a debugging conversation, it takes the target from context rather than asking. Use when fixing a bug, investigating an incident, hardening a flaky area, or when asked to "add tests that reveal the bug". Triggers on "/red-green-proof", "prove the bug", "red-green", "make the test fail first", "is that test load-bearing", "reveal the bug with a test". - retrieving-developer-knowledge
google/skills · score 69/100 (grade C)
Searches, retrieves, and synthesizes official Google developer documentation across Google Cloud, AI/Gemini, Android, Chrome, Web, Flutter, Go, Firebase, and other Google developer platforms. Integrates with the Developer Knowledge MCP server (search_documents, get_documents, answer_query) or the Developer Knowledge REST API fallback. Use when searching for gcloud CLI commands, API syntax, IAM permissions, official documentation, architectural comparisons, or product choice overviews. Don't use for local filesystem lookups or non-Google documentation. - risk-metrics-calculation
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Calculate portfolio risk metrics including VaR, CVaR, Sharpe, Sortino, and drawdown analysis. Use when measuring portfolio risk, implementing risk limits, or building risk monitoring systems. - run-without-you
alirezarezvani/claude-skills · score 69/100 (grade C)
Phase 4 of building a Claude Managed Agent — make it run without you. Turn a graded agent into a recurring scheduled deployment (POSIX-cron), an event-driven curl trigger, or confirmed on-demand use, then finalize the versioned roadmap. Use when the user says "run it every morning", "put it on a schedule", "nightly", "weekly", "automate this", "make it recurring", or when the orchestrator routes phase=run-without-you. deployment_builder.py builds the POST /v1/deployments payload (initial_events must include user.message; optionally nests a user.define_outcome so each firing self-grades); cron_validator.py validates the 5-field cron + IANA timezone and prints the wall-clock DST note; next_directions_writer.py writes NEXT-DIRECTIONS.md. No tool makes API calls — the deployment is created via BYOK curl. Distinct from grade-iterate (the in-session loop) and wrap-up (closeout). - rust-patterns
affaan-m/ECC · score 69/100 (grade C)
Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications. Use when writing or reviewing Rust code and ownership, error handling, traits, or concurrency is in question. - rust-patterns
affaan-m/everything-claude-code · score 69/100 (grade C)
Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications. Use when writing or reviewing Rust code and ownership, error handling, traits, or concurrency is in question. - self-improving-agent
alirezarezvani/claude-skills · score 69/100 (grade C)
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, extract recurring solutions into reusable skills. Use when: (1) reviewing what Claude has learned about your project, (2) graduating a pattern from notes to enforced rules, (3) turning a debugging solution into a skill, (4) checking memory health and capacity. - senior-computer-vision
alirezarezvani/claude-skills · score 69/100 (grade C)
Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems. - senior-ml-engineer
alirezarezvani/claude-skills · score 69/100 (grade C)
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization. Use when the user asks about deploying ML models to production, setting up MLOps infrastructure (MLflow, Kubeflow, Kubernetes, Docker), monitoring model performance or drift, building RAG pipelines, or integrating LLM APIs with retry logic and cost controls. Focused on production and operational concerns rather than model research or initial training. - senior-security
alirezarezvani/claude-skills · score 69/100 (grade C)
Use when the user asks for STRIDE threat modeling, DREAD risk scoring, data-flow-diagram threat analysis, or a quick secret scan — or when a security request needs routing to the right specialist skill (pen-testing, incident response, cloud posture, red team, AI security, threat hunting, secure code review). This skill owns threat modeling; everything else routes to a sibling. - seo-aeo-content-cluster
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Builds a topical authority map from business goals, search intent, existing content, and gaps, then prioritises foundational and supporting pages. - seo-audit
coreyhaines31/marketingskills · score 69/100 (grade C)
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," "SEO health check," "my traffic dropped," "lost rankings," "not showing up in Google," "site isn't ranking," "Google update hit me," "page speed," "core web vitals," "crawl errors," "indexing issues," "stuck on page 2," "striking distance keywords," "title tag rewrite," "low CTR," "local SEO," "Google Business Profile," or "map pack." Use this even if the user just says something vague like "my SEO is bad" or "help with SEO" — start with an audit. For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema. For AI search optimization, see ai-seo. - similarity-search-patterns
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance. - soc-operations
briiirussell/cybersecurity-skills · score 69/100 (grade C)
Build, run, and improve a Security Operations Center — alert prioritization, runbook authoring, escalation criteria, on-call structure, alert tuning workflow, MTTD / MTTR / fidelity KPIs, analyst tiering, and shift handoffs. Use when the user mentions 'SOC,' 'security operations,' 'SOC analyst,' 'alert triage workflow,' 'runbook,' 'escalation,' 'on-call,' 'SOC tiering,' 'tier 1 / tier 2,' 'MTTD,' 'MTTR,' 'alert fatigue,' 'alert tuning,' 'shift handoff,' 'SOAR,' or wants to design or improve a security operations team. - spec-to-repo
alirezarezvani/claude-skills · score 69/100 (grade C)
Use when the user says 'build me an app', 'create a project from this spec', 'scaffold a new repo', 'generate a starter', 'turn this idea into code', 'bootstrap a project', 'I have requirements and need a codebase', or provides a natural-language project specification and expects a complete, runnable repository. Stack-agnostic: Next.js, FastAPI, Rails, Go, Rust, Flutter, and more. - spm-build-analysis
AvdLee/Xcode-Build-Optimization-Agent-Skill · score 69/100 (grade C)
Analyze Swift Package Manager dependencies, package plugins, module variants, and CI-oriented build overhead that slow Xcode builds. Use when a developer suspects packages, plugins, or dependency graph shape are hurting clean or incremental build performance, mentions SPM slowness, package resolution time, build plugin overhead, duplicate module builds from configuration drift, circular dependencies between modules, oversized modules needing splitting, or modularization best practices. - stage-launch
alirezarezvani/claude-skills · score 69/100 (grade C)
Phase 2 of building a Claude Managed Agent — turn a validated build sheet into exact API payloads and a resumable BYOK curl launch script, then launch (environment → agent → session → kickoff) using the founder's OWN Anthropic key. Use when the user says "launch it", "deploy the agent", "create the agent now", or when the orchestrator routes phase=stage-launch. payload_generator.py emits the four ordered payloads; launch_script_writer.py writes launch.sh that reads $ANTHROPIC_API_KEY at runtime and never embeds it; payload_validator.py runs a pre-launch check including an API-key-leak scan. No tool in this skill makes network calls — the user runs launch.sh themselves. Distinct from interview (planning) and grade-iterate (the outcome loop). - swiftui-patterns
affaan-m/ECC · score 69/100 (grade C)
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices. Use when building or reviewing SwiftUI views, @Observable state, navigation, or render performance. - swiftui-patterns
affaan-m/everything-claude-code · score 69/100 (grade C)
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices. Use when building or reviewing SwiftUI views, @Observable state, navigation, or render performance. - tailwind-design-system
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Build production-ready design systems with Tailwind CSS, including design tokens, component variants, responsive patterns, and accessibility. - tdd
mattpocock/skills · score 69/100 (grade C)
Test-driven development. Use when the user wants to build features or fix bugs test-first, mentions "red-green-refactor", or wants integration tests. - tdd-workflow
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Test-Driven Development workflow principles. RED-GREEN-REFACTOR cycle. - team-builder
affaan-m/ECC · score 69/100 (grade C)
Interactive picker that discovers available agent personas via the claude agents command and agents/ markdown globs, groups them into domains, has the user select up to five, dispatches them in parallel on one task, and synthesizes agreements and conflicts into a unified report. Use when composing a team of agents, browsing available agent personas, or running several specialist agents in parallel. - team-builder
affaan-m/everything-claude-code · score 69/100 (grade C)
Interactive picker that discovers available agent personas via the claude agents command and agents/ markdown globs, groups them into domains, has the user select up to five, dispatches them in parallel on one task, and synthesizes agreements and conflicts into a unified report. Use when composing a team of agents, browsing available agent personas, or running several specialist agents in parallel. - telegram
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Integracao completa com Telegram Bot API. Setup com BotFather, mensagens, webhooks, inline keyboards, grupos, canais. Boilerplates Node.js e Python. - test-automator
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Master AI-powered test automation with modern frameworks, self-healing tests, and comprehensive quality engineering. Build scalable testing strategies with advanced CI/CD integration. - threejs-3d-generator
majidmanzarpour/threejs-game-skills · score 69/100 (grade C)
Generate, texture, rig, animate, stylize, convert, and download 3D assets for Three.js games via the Tripo API. Use for text-to-3D, image-to-3D, game-ready GLB/FBX, characters, creatures, buildings, props, weapons, terrain, auto-rigging, animation retargeting, model texturing, voxel/LEGO stylization, and low-poly conversion. Pair with threejs-image-generator for concept and texture references first. - track-management
sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Use this skill when creating, managing, or working with Conductor tracks - the logical work units for features, bugs, and refactors. Applies to spec.md, plan.md, and track lifecycle operations. - twitter-algorithm-optimizer
ComposioHQ/awesome-claude-skills · score 69/100 (grade C)
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content. - uikit-expert
ivan-magda/uikit-expert-skill · score 69/100 (grade C)
Write, review, or improve UIKit code following best practices for view controller lifecycle, Auto Layout, collection views, navigation, animation, memory management, and modern iOS 18–26 APIs. Use when building new UIKit features, refactoring existing views or view controllers, reviewing code quality, adopting modern UIKit patterns (diffable data sources, compositional layout, cell configuration), or bridging UIKit with SwiftUI. Does not cover SwiftUI-only code. - vcpkg
github/awesome-copilot · score 69/100 (grade C)
Guide for setting up vcpkg in C++ projects, managing dependency versions, and cross-compiling. Covers manifest initialization, CMake and Visual Studio integration, classic-to-manifest migration, version pinning, baselines, overrides, triplets, and cross-compilation. Use when a user is working with vcpkg project setup, installation, version management, or cross-platform builds. For specialized tasks, additional references cover custom registries and overlay ports (references/registries.md), CI/CD and binary caching (references/ci.md), and troubleshooting and dependency lifecycle (references/troubleshooting.md). - vue-patterns
affaan-m/ECC · score 69/100 (grade C)
Vue.js 3 Composition API patterns, component architecture, reactivity best practices, Pinia state management, Vue Router navigation, and Nuxt SSR patterns. Activates for Vue, Nuxt, Vite, or Pinia projects. Use when building or reviewing Vue 3, Nuxt, or Pinia code — Composition API, reactivity, or router navigation. - vue-patterns
affaan-m/everything-claude-code · score 69/100 (grade C)
Vue.js 3 Composition API patterns, component architecture, reactivity best practices, Pinia state management, Vue Router navigation, and Nuxt SSR patterns. Activates for Vue, Nuxt, Vite, or Pinia projects. Use when building or reviewing Vue 3, Nuxt, or Pinia code — Composition API, reactivity, or router navigation. - antigravity-design-expert
sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Core UI/UX engineering skill for building highly interactive, spatial, weightless, and glassmorphism-based web interfaces using GSAP and 3D CSS. - apple-design
emilkowalski/skills · score 68/100 (grade C)
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces. - async-python-patterns
sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems. - bigtable-basics
google/skills · score 68/100 (grade C)
Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration. - bio-data-visualization-sequence-logos
GPTomics/bioSkills · score 68/100 (grade C)
Build sequence logos from aligned DNA, RNA, or protein motifs using ggseqlogo (R), Logomaker (Python), or WebLogo with explicit bits vs probability encoding, background-frequency correction, custom alphabets, and multi-logo stacking. Use when visualizing motif PWMs (TF binding, splice sites, CRISPR spacers), aligned-position composition, or comparing two motif sets. - bio-data-visualization-upset-plots
GPTomics/bioSkills · score 68/100 (grade C)
Build UpSet plots to visualize set intersections beyond 4 sets (where Venn fails) using ComplexUpset (modern, ggplot2-grammar) or the unmaintained UpSetR, with explicit cardinality vs degree sorting, attribute panels, and query highlighting. Use when comparing overlap across many gene sets, peak sets, variant lists, or any set membership matrix where Venn diagrams become illegible. - bio-expression-matrix-sparse-handling
GPTomics/bioSkills · score 68/100 (grade C)
Stores and operates on sparse expression matrices for single-cell and large bulk RNA-seq, covering dgCMatrix/dgRMatrix/dgTMatrix when-each-is-fast, the dgCMatrix (CSC, R) <-> CSR (Python) implicit transpose, AnnData (cells-rows) <-> SingleCellExperiment (cells-cols) orientation flip, HDF5/h5ad vs Zarr cloud-native shift, HDF5SummarizedExperiment + DelayedArray for out-of-memory bulk, scanpy backed mode for large h5ad, the ~10-15% density crossover where dense beats sparse, 10X format proliferation (MTX vs CellRanger H5 vs h5ad), the dense-conversion memory blow-up, and Dask + Zarr for consortium-scale matrices. Use when choosing sparse format, working with single-cell-sized matrices, importing/exporting 10X, debugging R/Python interop transposes, processing matrices too large for RAM, or building cloud-native pipelines. - bio-fastq-quality
GPTomics/bioSkills · score 68/100 (grade C)
Work with FASTQ quality scores using Biopython - access Phred scores, filter and trim by quality, compute per-position profiles, and convert between Sanger/Phred+33, Solexa, and Illumina/Phred+64 encodings. Use when analyzing read quality, filtering or trimming low-quality bases, generating quality reports, or deciding which FASTQ quality encoding a file uses before parsing. - bio-geo-data
GPTomics/bioSkills · score 68/100 (grade C)
Query and download from NCBI Gene Expression Omnibus (GEO) and EMBL-EBI's BioStudies/ArrayExpress mirror. Use when finding expression datasets, navigating SuperSeries vs SubSeries, choosing between series-matrix (submitter-normalized) and raw supplementary files, downloading via GEOparse (Python) or GEOquery (R/Bioconductor), linking GEO to SRA for raw reads, or distinguishing GSE/GSM/GPL/GDS record types. Encodes the SuperSeries trap, the series-matrix normalization-trust caveat, GEOmetadb deprecation, ArrayExpress migration to BioStudies, and processed-vs-raw decision matrix. - bio-interaction-databases
GPTomics/bioSkills · score 68/100 (grade C)
Query protein-protein and gene interaction databases (STRING, BioGRID, IntAct, SIGNOR, Reactome, HuRI, HuMAP, OmniPath, ConsensusPathDB, DIP). Use when building PPI networks, choosing between physical vs functional vs genetic interactions, signed/directed vs undirected, high-throughput vs curated, picking confidence thresholds, aggregating across resources, or navigating license constraints. Encodes the database decision matrix, STRING v12 channel semantics, OmniPath as meta-database, SIGNOR for signed signaling, and per-resource rate limits. - bio-molecular-standardization
GPTomics/bioSkills · score 68/100 (grade C)
Standardizes molecular structures using the ChEMBL structure pipeline for normalization and parent selection plus RDKit rdMolStandardize for explicit custom steps such as tautomer canonicalization, salt/solvent stripping, charge handling, stereochemistry handling, mixture selection, and isotope normalization. Explicitly compares ChEMBL, canSARchem, RDKit, and PubChem standardization choices. Use when preparing libraries for QSAR training, joining datasets across sources, deduplicating compound collections, or building canonical compound registries. - bio-paired-end-fastq
GPTomics/bioSkills · score 68/100 (grade C)
Handle paired-end FASTQ files (R1/R2) using Biopython while keeping mates synchronized. Use when working with Illumina paired reads, synchronizing pairs, filtering both mates together with orphan routing, interleaving/deinterleaving, or matching mates by read name. - bio-phylo-tree-manipulation
GPTomics/bioSkills · score 68/100 (grade C)
Edit phylogenetic tree structure with Biopython Bio.Phylo, and treat rooting as a separate statistical inference rather than a display choice. Covers why most inference returns an unrooted tree so placing the root creates every ancestor/descendant and basal claim; why a distant or lonely outgroup misroots inside the ingroup via long-branch attraction; the outgroup/midpoint/MAD/MinVar/non-reversible-likelihood rooting tradeoffs; why pruning must suppress degree-2 nodes and sum their branch lengths or all patristic distances silently corrupt; and why collapsing by support makes SOFT (uncertainty) polytomies, not HARD (radiation) ones. Use when rooting, re-rooting, pruning or subsetting taxa, extracting a clade or induced subtree, collapsing low-support branches, resolving polytomies, or ladderizing. Routes clock-based rooting to divergence-dating, inference to modern-tree-inference, and reading/plotting to tree-io and tree-visualization. - bio-reaction-enumeration
GPTomics/bioSkills · score 68/100 (grade C)
Enumerates virtual chemical libraries via reaction SMARTS transformations using RDKit and reaction templates, with explicit handling of atom mapping, RDChiral template extraction, product validation, RECAP/BRICS fragmentation, R-group decomposition, matched molecular pair analysis (MMPA), and Free-Wilson analysis. Use when generating combinatorial libraries from building blocks, enumerating analog series, deriving structure-activity rules, or extracting transformations from reaction data. - bio-restriction-sites
GPTomics/bioSkills · score 68/100 (grade C)
Find restriction enzyme cut sites in DNA sequences using Biopython Bio.Restriction. Searches single enzymes, batches, or commercial enzyme sets and returns cut positions for linear or circular DNA. Use when locating where one or more restriction enzymes cut a sequence, screening a sequence for the presence or absence of a site, or counting how often an enzyme cuts. - bio-single-cell-data-io
GPTomics/bioSkills · score 68/100 (grade C)
Read, write, create, and convert single-cell objects across AnnData (Python), Seurat (R), and SingleCellExperiment (R). Use when loading 10X Cell Ranger output (raw vs filtered), importing or exporting h5ad/RDS/h5mu/zarr, building AnnData or Seurat objects from matrices, moving objects between Python and R, or debugging lost layers, transposed matrices, or mangled gene names during conversion. - bio-workflow-management-wdl-workflows
GPTomics/bioSkills · score 68/100 (grade C)
Authors bioinformatics pipelines in WDL (Workflow Description Language) run by Cromwell or miniwdl, targeting the GATK/Broad and Terra/AnVIL/BioData Catalyst cloud ecosystem, with tasks, workflows, scatter-gather parallelism, structs, and a runtime block that sizes the cloud VM. Use when deciding to target Terra/AnVIL/GATK/WARP (chosen for the ecosystem, not the language); sizing runtime disks dynamically for a fresh-per-task cloud VM (ceil(size(f)*factor)+buffer); choosing preemptible vs on-demand VMs by task length and idempotency; picking Cromwell (production, cloud, call-caching) vs miniwdl (local dev, miniwdl check linting, readable errors); enabling and debugging call-caching silent-miss modes; pinning Docker by digest for reproducibility and cache stability; or scattering an array for parallel fan-out. - bio-workflows-microbiome-pipeline
GPTomics/bioSkills · score 68/100 (grade C)
End-to-end 16S/ITS amplicon workflow from demultiplexed FASTQ to a consensus differential-abundance result, orchestrating cutadapt primer removal, per-run DADA2 ASV inference (learnErrors/mergeSequenceTables/removeBimeraDenovo), region-matched taxonomy assignment, a SEPP/Greengenes2 tree, alpha/beta diversity at a declared sampling depth (phyloseq/vegan, adonis2 paired with betadisper), compositional DA as a consensus of >=2 tools (ALDEx2/ANCOM-BC2) on unrarefied counts, and optional PICRUSt2 functional prediction gated on NSTI. Covers the stage-ordering decisions (primers before truncation, per-run error model, rarefy for diversity not DA, predicted potential not activity) and defers each per-step choice to the six microbiome skills. Use when staging an amplicon study end to end or chaining ASV inference, taxonomy, diversity, and differential abundance. For shotgun reads see workflows/metagenomics-pipeline. - board-deck-builder
alirezarezvani/claude-skills · score 68/100 (grade C)
Assembles comprehensive board and investor update decks by pulling perspectives from all C-suite roles. Use when preparing board meetings, investor updates, quarterly business reviews, or fundraising narratives. Covers structure, narrative framework, bad news delivery, and common mistakes. - code-exemplars-blueprint-generator
github/awesome-copilot · score 68/100 (grade C)
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams. - codex-subagent
davidondrej/skills · score 68/100 (grade C)
Launch OpenAI Codex CLI as a subagent (ChatGPT subscription auth, no API key). Use when delegating a self-contained coding task to Codex from another agent — parallel implementation work, a second opinion, or an independent verification pass. - copilot-pr-autopilot
github/awesome-copilot · score 68/100 (grade C)
Copilot left 14 review comments on your PR — half are nits. Hours of fix → reply → resolve → re-request, and each round lands MORE comments. This skill runs loop engineering: auto-triggers Copilot Code Review via GraphQL (no @copilot mention), triages every open thread (Copilot, humans, advanced-security) with a fix / decline / escalate rubric, dispatches parallel fix sub-agents that obey the repo build/test/lint conventions, commits per iteration, replies+resolves citing the pushed SHA, then re-triggers until HEAD is reviewed with zero threads awaiting the agent''s reply (remaining open threads are explicit hand-offs to the human — escalated declines, design tradeoffs). You merge a clean PR; the bot runs it. Trigger phrases: "address copilot comments", "run a copilot review loop", "fix this PR", "iterate on copilot feedback". Repo-agnostic, gh CLI + PowerShell. Full autopilot needs repo Triage/Write; external PR authors get single-iteration mode plus manual re-trigger (UI 🔄 or substantive-commit push). - create-quarkus-project
github/awesome-copilot · score 68/100 (grade C)
Create a new Quarkus project (Maven or Gradle) with the Quarkus CLI, code.quarkus.io API or Maven plugin, choose extensions, and run it in dev mode. Use when asked to scaffold, bootstrap or start a Quarkus application or REST API. - error-diagnostics-error-analysis
sickn33/antigravity-awesome-skills · score 68/100 (grade C)
You are an expert error analysis specialist with deep expertise in debugging distributed systems, analyzing production incidents, and implementing comprehensive observability solutions. - fable-goal
alirezarezvani/claude-skills · score 68/100 (grade C)
Convert a rambling description of a desired outcome into one polished, autonomous /goal prompt ready to paste into a fresh session. Use when the user says "/fable-goal", "turn this into a goal prompt", "write me a fable prompt", "write the prompt that builds X", or rambles about something they want made and asks for the prompt that makes it happen. The output is a single copy-paste prompt, never the build itself. Do NOT use when the user wants the thing built right now in this session — only when they want the PROMPT that will make it happen in a fresh session. - fastapi-patterns
affaan-m/ECC · score 68/100 (grade C)
FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest. Use when building or reviewing FastAPI apps — Pydantic schemas, dependencies, async handlers, auth, or tests. - fastapi-patterns
affaan-m/everything-claude-code · score 68/100 (grade C)
FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest. Use when building or reviewing FastAPI apps — Pydantic schemas, dependencies, async handlers, auth, or tests. - financial-analyst
alirezarezvani/claude-skills · score 68/100 (grade C)
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making. Use when analyzing financial statements, building valuation models, assessing budget variances, or constructing financial projections and forecasts. Also applicable when users mention financial modeling, cash flow analysis, company valuation, financial projections, or spreadsheet analysis. - frontend-patterns
affaan-m/ECC · score 68/100 (grade C)
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices. Use when building or reviewing React or Next.js components, state, or render performance. - frontend-patterns
affaan-m/everything-claude-code · score 68/100 (grade C)
Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices. Use when building or reviewing React or Next.js components, state, or render performance. - google-agents-cli-onboarding
google/skills · score 68/100 (grade C)
Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs the ADK (Agent Development Kit) development lifecycle. - google-cloud-solution-build-deploy-agents
google/skills · score 68/100 (grade C)
Designs, builds, and deploys AI agents or multi-agent systems on Google Cloud. Provides an interactive workflow to gather requirements, recommend a tailored architecture, and generate deployment instructions. Use when designing or implementing agentic systems on Google Cloud. Don't use for general Google Cloud solution architecture (use google-cloud-solution-architecture instead) or for narrow tasks targeting a single product without agent context. - google-cloud-solution-n-tier-serverless-web-app
google/skills · score 68/100 (grade C)
Assists in designing and implementing secure n-tier serverless web applications and microservices on Google Cloud. Use when users need architecture designs, security checklists, Terraform code, or deployment guidance for multi-tier serverless apps, regional data residency / European sovereignty compliance, zero-trust private VPC networking, or Private Service Connect. Don't use for VM, GKE, or non-Google Cloud architectures. - linkedin-profile-optimizer
sickn33/antigravity-awesome-skills · score 68/100 (grade C)
High-intent expert for LinkedIn profile checks and SEO optimization. Silently audits and rewrites profiles, delivering only the finished, ready-to-paste result. - llm-wiki
alirezarezvani/claude-skills · score 68/100 (grade C)
Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query. - makepad-2-0-layout
sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Makepad 2.0 guidance for layout; use when building or debugging Makepad UI code. - makepad-reference
sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Guide to diagnosing Makepad build, widget, redraw and layout issues against the exact runtime revision. - mantis-pipeline-adapter
google/mantis · score 68/100 (grade C)
Interactively guides the design and implementation of custom deterministic orchestrator harnesses. Use when a user wants to build their own pipeline to wrap and run Mantis skills reliably. Don't use for executing the default pipeline directly. - mantis-structural-index
google/mantis · score 68/100 (grade C)
Builds a content-addressed semantic-unit index from source code for structural context. Use when a pinned or live codebase is available and structural cross-reference data would improve research quality. Don't use for findings analysis, patching, or reporting. - mantis-summarize
google/mantis · score 68/100 (grade C)
Pre-processes the repository by generating security-focused summaries (mantis-summary.md) for each directory to make planning and research more efficient. Use when starting a review campaign to map the codebase before threat modeling and planning. Don't use for executing code reviews, writing test scripts, or patching code. - markdown-html-orchestrator
alirezarezvani/claude-skills · score 68/100 (grade C)
Use when a user wants to convert any markdown file in their Claude project into a single-file, lightly-interactive HTML — long-form documents (specs, plans, RFCs, reports, explainers), code reviews with diffs and severity-tagged annotations, or slide decks. Triggers on "convert this markdown to HTML", "make this an HTML file", "turn this into an interactive document", "render this report as HTML", "PR writeup as HTML", "slides from this markdown". Forks context to route to one of three converter sub-skills (md-document, md-review, md-slides) based on a deterministic doctype classifier, after the user has run the design-system onboarding once. Refuses if input is under 100 lines (per Shihipar — markdown still wins below the threshold) or design-system isn't onboarded. Distinct from Anthropic's official Playground plugin (which is interactive prompt-tuning controls with sliders/knobs/prompt-copy-back) and from marketing/landing/ (which is a landing-page generator). - mdr-745-specialist
alirezarezvani/claude-skills · score 68/100 (grade C)
EU MDR 2017/745 compliance specialist for medical device classification, technical documentation, clinical evidence, and post-market surveillance. Covers Annex VIII classification rules, Annex II/III technical files, Annex XIV clinical evaluation, Art. 86 PSUR schedules, and EUDAMED integration. Use when classifying a medical device under MDR, building or gap-checking a technical file, planning clinical evaluation or PMS/PSUR cadence, or preparing for notified body review (e.g., 'what class is my device under MDR', 'review my PSUR schedule'). - minecraft-plugin-development
github/awesome-copilot · score 68/100 (grade C)
Use this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration files, Adventure text, and version-safe API usage. Trigger for requests like "build a Minecraft plugin", "add a Paper command", "fix a Bukkit listener", "create plugin.yml", "implement a minigame mechanic", "add a perk or quest system", or "debug server plugin behavior". - nuxt4-patterns
affaan-m/ECC · score 68/100 (grade C)
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData. Use when building or reviewing a Nuxt 4 app, or debugging hydration mismatches and SSR-safe data fetching. - nuxt4-patterns
affaan-m/everything-claude-code · score 68/100 (grade C)
Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData. Use when building or reviewing a Nuxt 4 app, or debugging hydration mismatches and SSR-safe data fetching. - parallel-execution-optimizer
affaan-m/ECC · score 68/100 (grade C)
Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness. - parallel-execution-optimizer
affaan-m/everything-claude-code · score 68/100 (grade C)
Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness. - perl-patterns
affaan-m/ECC · score 68/100 (grade C)
Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications. Use when writing or reviewing modern Perl 5.36+ code. - perl-patterns
affaan-m/everything-claude-code · score 68/100 (grade C)
Modern Perl 5.36+ idioms, best practices, and conventions for building robust, maintainable Perl applications. Use when writing or reviewing modern Perl 5.36+ code. - ponytail-review
DietrichGebert/ponytail · score 68/100 (grade C)
Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it fast enough, and is every line needed. Reads the connected code, not only the diff. Each finding is explained in plain English. Use for "review this", "code review", "review the last commit", "review my PR", "is this over-engineered", /ponytail-review. - powerbi-modeling
github/awesome-copilot · score 68/100 (grade C)
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance. - prompt-optimizer
github/awesome-copilot · score 68/100 (grade C)
Turn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for chat. Trigger phrases include "rewrite this prompt", "make this a better prompt", "optimize this prompt", "turn this into a prompt", "help me prompt this", "draft a prompt that...", "I want to ask...", or whenever the user pastes a draft prompt and asks for improvements. Also trigger when the user describes a task they plan to send to an LLM model and clearly wants a reusable, well-structured prompt rather than a direct answer. The output is always a single, copy-pasteable prompt in a code block that the user sends as-is — never a template with placeholders. - prospecting
coreyhaines31/marketingskills · score 68/100 (grade C)
When the user wants to find, qualify, and build a list of prospects to reach out to, across B2B SaaS, general B2B, or local small businesses. Also use when the user mentions "prospecting," "build a prospect list," "find leads," "lead list," "outbound list," "target account list," "ICP-fit accounts," "find local businesses," "find my first customers," "design partners," "signal-based outbound," "buying signals," "intent data," "job change alerts," "waterfall enrichment," "Clay table," "lookalike accounts," "catch-all emails," "account tiering," or "research this account before I reach out." Always verify emails before they reach a sequence, and never scrape LinkedIn. Define audiences in Sales Navigator and pull contacts from licensed data. Covers list building, signals, enrichment, verification, and account research. For the outreach itself (copy, sending setup, LinkedIn, cadences, replies), see cold-email. For researching competitors, see competitor-profiling. - python-mcp-server-generator
github/awesome-copilot · score 68/100 (grade C)
Use this skill when the user wants to create a new Model Context Protocol (MCP) server in Python. Also use it to expose Python functions, an API, or a database to AI clients as MCP tools. The skill makes a uv project with the MCP Python SDK v2 (MCPServer), typed tools, in-memory tests, and client configuration. Do not use it for an MCP client or for a server in another language. - regex-vs-llm-structured-text
affaan-m/ECC · score 68/100 (grade C)
Decision framework for parsing structured text (quizzes, forms, invoices, receipts, tables) with a hybrid regex-first pipeline — regex extraction handles 95%+ cheaply, a confidence scorer flags low-confidence items, and an LLM validator fixes only the edge cases. Use when choosing between regex and LLM for text extraction, building a cheap document parser, or optimizing extraction cost and accuracy. - regex-vs-llm-structured-text
affaan-m/everything-claude-code · score 68/100 (grade C)
Decision framework for parsing structured text (quizzes, forms, invoices, receipts, tables) with a hybrid regex-first pipeline — regex extraction handles 95%+ cheaply, a confidence scorer flags low-confidence items, and an LLM validator fixes only the edge cases. Use when choosing between regex and LLM for text extraction, building a cheap document parser, or optimizing extraction cost and accuracy. - skill-scout
affaan-m/ECC · score 68/100 (grade C)
Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow. - skill-scout
affaan-m/everything-claude-code · score 68/100 (grade C)
Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow. - sms
coreyhaines31/marketingskills · score 68/100 (grade C)
When the user wants to plan, build, or optimize SMS, MMS, or WhatsApp marketing — including welcome flows, abandoned cart texts, post-purchase, win-back, promotional sends, or transactional/auth SMS. Also use when the user mentions "SMS marketing," "text message campaigns," "SMS sequence," "SMS automation," "abandoned cart text," "post-purchase SMS," "Klaviyo SMS," "Postscript," "Attentive," "Twilio," "A2P 10DLC," "TCPA," "SMS compliance," "short code," "toll-free SMS," "MMS campaign," "should I do SMS," "SMS vs email," "WhatsApp marketing," "WhatsApp Business API," "WhatsApp templates," or "click-to-WhatsApp." For email sequences, see emails. For SMS copy framing, see copywriting. For opt-in popups that capture phone numbers, see popups. - springboot-tdd
affaan-m/ECC · score 68/100 (grade C)
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring. - springboot-tdd
affaan-m/everything-claude-code · score 68/100 (grade C)
Test-driven development for Spring Boot using JUnit 5, Mockito, MockMvc, Testcontainers, and JaCoCo. Use when adding features, fixing bugs, or refactoring. - sql-object-impact-analysis
github/awesome-copilot · score 68/100 (grade C)
Before modifying a table, column, stored procedure, view, or trigger in a legacy codebase, trace every place that references it — across other SQL objects (procs, views, triggers) AND application code (C#, Angular/TypeScript, JS, or any language in the repo) — and produce a structured blast-radius report so you know what breaks before you change it. Use when the user asks 'what uses this column/table/procedure', 'is it safe to change X', 'what depends on this', 'impact of renaming/dropping X', or before any schema/proc modification in an unfamiliar or legacy codebase. Not for privacy/PII exposure analysis (see data-breach-blast-radius) or query performance tuning (see sql-optimization). - swiftui-expert-skill
AvdLee/SwiftUI-Agent-Skill · score 68/100 (grade C)
Use when writing, reviewing, or refactoring SwiftUI code for iOS or macOS, including state and `@Observable` data flow, view composition, resizable layouts, safe areas, display scale, performance, lists, environment, localization, animation, Liquid Glass, and API migration. Also use for iPhone Duo, foldable, or large-display layouts (`NavigationSplitView` on large displays, iPhone tab sidebar, two-column reflow, foldable grids, `ArrangementView`, `ReservedRegion`), hinge effects, vertical bars, `@State` initialization or synthesized-property diagnostics, `@ContentBuilder` ambiguity, `reorderable` drag/drop, custom `AsyncImage` `URLSession`, swipe actions outside List, item-bound `alert`/`confirmationDialog`, `ToolbarOverflowMenu`, `AnimatableValues`, Document APIs (`Document`/`DocumentReader`), and Instruments `.trace` capture or analysis. - system-commandline-cli
github/awesome-copilot · score 68/100 (grade C)
Use this skill when adding, modifying, or reviewing CLI commands in a .NET project built with System.CommandLine. Triggers include: creating a new CLI command, adding options or arguments, wiring command handlers, registering subcommands, building command groups, or any architecture decision about CLI command structure. Also use when the user mentions 'System.CommandLine', 'CommandBase', 'SetAction', 'ParseResult', 'RootCommand', 'subcommand', or asks to add a verb to the CLI. Do NOT use for general C# coding, web APIs, UI work, or non-CLI projects. - taste-distillation
affaan-m/ECC · score 68/100 (grade C)
Measure a set of reference videos into a reusable style pack - colour grade as a 3D LUT, cut rhythm as a shot-length distribution, hero stills, screen-blend overlay plates, and a text spec for a generative model. Use when the user wants to capture the look of reference footage, build a repeatable look, mint assets from references, or reproduce someone's grade and pacing. - taste-distillation
affaan-m/everything-claude-code · score 68/100 (grade C)
Measure a set of reference videos into a reusable style pack - colour grade as a 3D LUT, cut rhythm as a shot-length distribution, hero stills, screen-blend overlay plates, and a text spec for a generative model. Use when the user wants to capture the look of reference footage, build a repeatable look, mint assets from references, or reproduce someone's grade and pacing. - thick-client
sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Authorized security testing of desktop thick clients: local storage, update channels, IPC, traffic interception, and client-side trust-boundary review. - threejs-gameplay-systems
majidmanzarpour/threejs-game-skills · score 68/100 (grade C)
Build and iterate playable Three.js game systems: starter scaffold, architecture, design briefs, core loops, level and encounter design, entities, input, camera, collision and physics, scoring, objectives, and game feel. Use for first playable slices, new Vite/TypeScript/Three.js setups, level/arena/track/wave/hole/puzzle design, combat encounters, difficulty tuning, and juice. - ui-ux-pro-max
nextlevelbuilder/ui-ux-pro-max-skill · score 68/100 (grade C)
UI/UX design intelligence for web, mobile, and desktop. This skill should be used when designing, building, reviewing, or fixing interfaces, including pages, components, design systems, accessibility, interaction, responsive layout, typography, color, charts, and stack-specific UI implementation. Searchable local data: 79 searchable styles (50 active), 192 product palettes and reasoning profiles, 74 font pairings, 119 UX guidelines, 105 icons, 17 GSAP presets, 25 chart types, and 22 stacks. - universal-scraping-architect
alirezarezvani/claude-skills · score 68/100 (grade C)
Use for web scraping, crawling, document extraction, API parsing, or building validation-heavy data pipelines using Firecrawl or local Python scripts. - vite-patterns
affaan-m/ECC · score 68/100 (grade C)
Vite build tool patterns including config, plugins, HMR, env variables, proxy setup, SSR, library mode, dependency pre-bundling, and build optimization. Activate when working with vite.config.ts, Vite plugins, or Vite-based projects. - vite-patterns
affaan-m/everything-claude-code · score 68/100 (grade C)
Vite build tool patterns including config, plugins, HMR, env variables, proxy setup, SSR, library mode, dependency pre-bundling, and build optimization. Activate when working with vite.config.ts, Vite plugins, or Vite-based projects. - xcode-compilation-analyzer
AvdLee/Xcode-Build-Optimization-Agent-Skill · score 68/100 (grade C)
Analyze Swift and mixed-language compile hotspots using build timing summaries and Swift frontend diagnostics, then produce a recommend-first source-level optimization plan. Use when a developer reports slow compilation, type-checking warnings, expensive clean-build compile phases, long CompileSwiftSources tasks, warn-long-function-bodies output, or wants to speed up Swift type checking. - accesslint-diff
sickn33/antigravity-awesome-skills · score 67/100 (grade C)
Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing. - agent-dx-cli-scale
google-labs-code/design.md · score 67/100 (grade C)
A scoring scale for evaluating how well a CLI is designed for AI agents, based on the "Rewrite Your CLI for AI Agents" principles. - antithesis-launch
antithesishq/antithesis-skills · score 67/100 (grade C)
Launch an Antithesis run with snouty by discovering the harness layout, building the right Docker Compose config, running `snouty validate`, bailing on validation failure, and then submitting `snouty launch` with sane metadata. Use when the user wants to send, submit, or launch an Antithesis run. This skill takes duration in minutes as input. - app-store-screenshots
ParthJadhav/app-store-screenshots · score 67/100 (grade C)
Use when building App Store or Google Play screenshot pages, generating exportable marketing screenshots for iOS, macOS, and/or Android apps, or scaffolding a screenshot editor with Next.js. Triggers on app store, mac app store, play store, screenshots, marketing assets, html-to-image, phone mockup, mac mockup, android screenshots, feature graphic. - asc-localize-metadata
rudrankriyam/app-store-connect-cli-skills · score 67/100 (grade C)
Automatically translate and sync App Store metadata (description, keywords, what's new, subtitle) to multiple languages using LLM translation and asc CLI. Use when asked to localize an app's App Store listing, translate app descriptions, or add new languages to App Store Connect. - audit-xls
anthropics/financial-services · score 67/100 (grade C)
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this spreadsheet", "sanity check this", "debug model", "model check", "model won't balance", "something's off in my model", "model review". - azure-smart-city-iot-solution-builder
github/awesome-copilot · score 67/100 (grade C)
Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts. - bio-alignment-pairwise
GPTomics/bioSkills · score 67/100 (grade C)
Perform pairwise sequence alignment using Biopython Bio.Align.PairwiseAligner. Use when comparing two sequences, finding optimal alignments, scoring similarity, and identifying local or global matches between DNA, RNA, or protein sequences. - bio-atac-seq-allele-specific-accessibility
GPTomics/bioSkills · score 67/100 (grade C)
Detect allele-specific chromatin accessibility from ATAC-seq using WASP, GATK ASEReadCounter, or RASQUAL. Use when mapping cis-regulatory genetic variants from heterozygous SNPs, separating cis from trans regulation, building chromatin QTL (caQTL) maps, validating GWAS variant function with allelic imbalance, or detecting reference allele mapping bias before downstream analysis. - bio-atac-seq-enhancer-gene-linking
GPTomics/bioSkills · score 67/100 (grade C)
Predict enhancer-gene regulatory connections from ATAC-seq using ABC, ENCODE-rE2G, HiChIP, or Cicero. Use when linking distal enhancers to target genes, choosing between contact-aware (ABC, ENCODE-rE2G), accessibility-only (Cicero), and orthogonal (HiChIP H3K27ac, EpiMap) approaches, validating predictions against CRISPRi-FlowFISH gold-standard, or building cell-type-specific regulatory maps for fine-mapping or therapeutic target discovery. - bio-atac-seq-single-cell-atac
GPTomics/bioSkills · score 67/100 (grade C)
Process and analyze single-cell ATAC-seq data with Signac, ArchR, SnapATAC2, or Cell Ranger ATAC. Use when handling 10X scATAC or 10X Multiome (paired RNA+ATAC) data, performing per-cell QC, choosing between ArchR/Signac/SnapATAC2 ecosystems, building per-cluster consensus peaksets, integrating with paired scRNA-seq, doublet detection (AMULET vs ArchR vs scDblFinder), or running pseudobulk differential accessibility per cluster. - bio-copy-number-cnvkit-analysis
GPTomics/bioSkills · score 67/100 (grade C)
Detect somatic and germline copy number variants from targeted, exome, and whole-genome sequencing with CNVkit, a read-depth caller that combines on-target and off-target (antitarget) coverage. Covers panel-of-normals construction, flat-reference tumor-only calling, hybrid/amplicon/WGS modes, CBS vs HMM segmentation selection, purity-aware integer calling, and reconciliation against GATK and allele-specific callers. Use when calling CNVs from hybrid-capture panels or exomes, deciding whether CNVkit (depth-only) is the right tool versus an allele-specific caller, building a panel of normals, diagnosing flat-reference false positives, or interpreting log2 ratios into copy-number states. - bio-data-visualization-forest-funnel-plots
GPTomics/bioSkills · score 67/100 (grade C)
Build forest plots (HR, OR, RR, beta-coefficient summaries with CIs) and funnel plots (meta-analysis publication-bias diagnostics) using forestplot, metafor, ggforest, and MendelianRandomization with proper axis-scaling, summary-diamond placement, subgroup nesting, and Egger / trim-and-fill asymmetry tests. Use when summarizing effects across subgroups, trials, or instruments — meta-analysis, Mendelian randomization, subgroup HRs. - bio-expression-matrix-metadata-joins
GPTomics/bioSkills · score 67/100 (grade C)
Aligns sample metadata with count matrices and constructs design matrices for downstream DE, handling the alphabetical-reference-level trap (relevel BEFORE DESeq), LRT reduced-model rules, the interaction-term resultsNames trap, continuous-covariate scaling and splines, repeated measures via duplicateCorrelation or dream, high-cardinality categorical pseudo-singular designs, sample swap detection via XIST/RPS4Y1 expression and somalier/NGSCheckMate genotypes, SABV (sex-as-biological-variable) mandate, Simpson's-paradox collapsing of technical replicates, and the `~ 0 + group` parameterization for clean contrasts. Use when building a design matrix, troubleshooting reversed fold-change direction, encoding paired or repeated-measures designs, detecting sample swaps, deciding sex-as-covariate, or aggregating technical replicates. - bio-fragment-analysis
GPTomics/bioSkills · score 67/100 (grade C)
Extracts cfDNA fragmentomics features (DELFI genome-wide short/long ratios, WPS nucleosome positioning, Griffin GC-corrected accessibility profiles, end-motifs/MDS, OCF) for cancer detection and tissue-of-origin from plasma WGS. Centers on the nuclease-footprint reframe (every feature re-reads one nucleosome object), the mandatory GC correction, and the cross-protocol non-comparability that breaks naive classifiers. Runs FinaleToolkit (real CLI/Python, MIT) and the Griffin Snakemake pipeline; DELFI is a method, not a package. Use when deriving fragment-based signal from cfDNA, choosing a feature family for detection vs subtyping, or diagnosing why a fragmentomic model failed validation. - bio-hi-c-analysis-loop-calling
GPTomics/bioSkills · score 67/100 (grade C)
Detects focal chromatin loops (point interactions / corner-dots) in balanced Hi-C and Micro-C contact maps and aggregates/validates a loop set. Covers de-novo calling with cooltools dots (HiCCUPS-style 4-background local enrichment with lambda-chunked FDR), chromosight (template-correlation), and Mustache (scale-space blob detection); aggregate peak analysis (APA) via cooltools pileup for confirmation; the depth/resolution prerequisite (de-novo needs ~5-10kb resolution = hundreds of millions to billions of valid pairs); consensus across callers and convergent-CTCF support as validation; and differential loops via union anchors plus chromosight quantify. Use when calling chromatin loops or dots from a cooler, deciding whether a map is deep enough to call de-novo vs running APA on known CTCF/cohesin anchors, building an aggregate peak pileup, comparing loops across conditions, or validating loop calls. For HiChIP/PLAC-seq/PCHi-C protein-anchored data use FitHiChIP/MAPS, not dots. - bio-imaging-mass-cytometry-cell-segmentation
GPTomics/bioSkills · score 67/100 (grade C)
Segment single cells from multiplexed IMC/MIBI tissue images using Mesmer/DeepCell, Cellpose, or ilastik+CellProfiler, covering whole-cell vs nuclear segmentation, the summed-membrane-channel decision, nuclear-expansion bias, lateral spillover, resolution-floor parameters, and downstream-proxy evaluation. Use when delineating cells after preprocessing, choosing a segmentation model, building a cell mask for quantification, diagnosing impossible double-positive populations, or troubleshooting over/under-segmentation. - bio-imaging-mass-cytometry-data-preprocessing
GPTomics/bioSkills · score 67/100 (grade C)
Load and preprocess imaging mass cytometry (IMC) and MIBI data from raw MCD/TXT through hot-pixel removal, spillover compensation, and variance-stabilizing transformation, covering readimc/steinbock ingestion, NNLS spillover compensation (CATALYST), IMC-Denoise, and the IMC arcsinh-cofactor question. Use when starting analysis from raw MCD files, building per-channel TIFF stacks, compensating channel spillover, choosing an arcsinh cofactor, or preparing single-cell intensities for phenotyping. - bio-machine-learning-prediction-explanation
GPTomics/bioSkills · score 67/100 (grade C)
Explains ML predictions on omics data with SHAP, LIME, and permutation importance, handling the correlated-feature trap, the conditional-vs-interventional Shapley choice, and the attribution-is-not-causation boundary. Use when interpreting an omics classifier, debugging shortcut/batch learning, or deciding whether an attribution ranking can be trusted as biology. For validated feature selection see machine-learning/biomarker-discovery; explanations are not a selection method. - bio-methylation-array-qc-filtering
GPTomics/bioSkills · score 67/100 (grade C)
Performs probe filtering and sample-level QC on Illumina Infinium methylation arrays (450K / EPIC / EPICv2) to decide which probes and samples to trust. Drops detection-p-failed and low-bead-count probes, removes cross-reactive/non-specific probes (Chen 2013 / Pidsley 2016 lists via maxprobes), excludes SNP-overlapping probes with dropLociWithSnps, and handles sex-chromosome probes. Collapses EPICv2 replicate probes with betasCollapseToPfx and harmonizes across array versions (EPICv2 hg38 vs 450K/EPIC hg19, intersect plus mLiftOver). Runs sample-identity QC: getSex sex prediction vs sample sheet for swap detection, rs-SNP fingerprint clustering for duplicates/swaps, and Sentrix chip/array-position batch diagnosis. Use when filtering methylation array probes, detecting sample swaps or mislabels, collapsing EPICv2 replicates, or merging 450K/EPIC/EPICv2 cohorts. For IDAT-to-corrected-beta normalization see array-preprocessing; for batch correction and study design see ewas-design. - bio-methylation-cell-type-deconvolution
GPTomics/bioSkills · score 67/100 (grade C)
Estimates cell-type composition from bulk DNA methylation and uses it to defuse the single biggest EWAS confounder. Covers reference-based deconvolution (Houseman constrained-projection, minfi estimateCellCounts2 with FlowSorted.Blood.EPIC + IDOL-optimized libraries, EpiDISH RPC/CBS/CP, 12-cell extended, cord-blood nRBC references, EpiSCORE/hepidish for solid tissue), reference-free correction (ReFACTor, RefFreeEWAS, SVA), using fractions as covariates vs the compositionality/collinearity trap, and cell-type-resolved EWAS (CellDMC, TCA, TOAST, omicwas, HIRE). Use when estimating blood/tissue cell fractions, adjusting an EWAS for composition, choosing a deconvolution reference, or attributing a methylation signal to a cell type. For the EWAS confounder-vs-mediator decision see ewas-design; for the IEAA cell-count adjustment of DNAm age see epigenetic-clocks; for clean beta input see array-preprocessing. - bio-microbiome-amplicon-processing
GPTomics/bioSkills · score 67/100 (grade C)
Infers exact amplicon sequence variants (ASVs) from demultiplexed 16S rRNA or ITS amplicon FASTQ with DADA2 - removing primers with cutadapt (--discard-untrimmed), learning a per-run error model (filterAndTrim -> learnErrors -> dada -> mergePairs), merging run-level tables with mergeSequenceTables, then one removeBimeraDenovo. Covers why primers come OFF before truncation, why the error model is per-run, truncLen as a merge-overlap detection budget (V4 vs V3-V4), DADA2 vs Deblur and q2-dada2 (denoise-paired/single/pyro/ccs), ASV vs OTU, NovaSeq binned-quality error-fit breakage, ITSxpress for variable-length ITS, and decontam removal of reagent/kit contaminants. Use when turning demultiplexed amplicon reads into an ASV/feature table, choosing truncation lengths, handling multi-run studies, or ITS. For shotgun reads see metagenomics/kraken-classification; for QIIME2 CLI mechanics see qiime2-workflow; for primer trimming theory see read-qc/adapter-trimming. - bio-multi-omics-mixomics-analysis
GPTomics/bioSkills · score 67/100 (grade C)
Builds supervised and unsupervised multivariate integration across bulk omics blocks with mixOmics - sPLS for sparse pairwise correlation, DIABLO (block.splsda) for a multi-block discriminant signature, rCCA for regularized canonical correlation, and MINT for multi-study integration. Covers why these projection methods maximize covariance or correlation and not truth, why DIABLO's design matrix is the central correlation-versus-discrimination decision, why cross-validation must wrap keepX selection or the reported error is leaked, why balanced error rate is required under class imbalance, and why DIABLO needs matched samples while MINT handles multiple cohorts. Use when finding a cross-omic discriminant signature for a known outcome, selecting correlated features between two omics, tuning keepX, or integrating one omic across studies. For unsupervised factors see mofa-integration; for the method decision see integration-design; for cross-validation theory see machine-learning/model-validation. - bio-ncbi-datasets-cli
GPTomics/bioSkills · score 67/100 (grade C)
Download genome assemblies, gene records, and ortholog data from NCBI using the modern Datasets v2 CLI (replaces assembly_summary.txt scraping and many EFetch workflows). Use when bulk-pulling genome assemblies, gene metadata across species, ortholog sets, or BLAST databases; when E-utilities are too slow for genome-scale work; or when automatic checksum verification, parallel download, and clean accession-driven retrieval are required. Encodes the JSON-lines output format, dataformat conversion, --dehydrated for cloud workflows, and when Datasets is/isn't the right tool. - bio-proteomics-differential-abundance
GPTomics/bioSkills · score 67/100 (grade C)
Tests for differentially abundant proteins between conditions with limma/DEqMS empirical-Bayes moderation, proDA/msqrob2/MSstats missingness modeling, and Python Welch+BH alternatives. Frames missing values as left-censored MNAR (model, do not impute), makes variance moderation the load-bearing step at n=3-5, and prefers feature/peptide-level testing. Use when identifying proteins with significant abundance changes between experimental groups. Summarization and normalization mechanics are proteomics/quantification; volcano and MA plots are data-visualization/volcano-and-ma-plots; pathway enrichment of the hit list is pathway-analysis/go-enrichment. - bio-sequence-statistics
GPTomics/bioSkills · score 67/100 (grade C)
Calculate assembly and sequence statistics (N50/L50, auN, NG50/NGA50, length distribution, GC content with ambiguity handling, summary reports) using Biopython. Use when analyzing sequence datasets, generating QC reports, or comparing genome assemblies. - bio-systems-biology-context-specific-models
GPTomics/bioSkills · score 67/100 (grade C)
Builds tissue-, cell-type-, and condition-specific metabolic models by integrating transcriptomic or proteomic data into a generic genome-scale model, using extraction algorithms (GIMME, iMAT, INIT/tINIT, MADE, E-Flux, CORDA, FASTCORE) via troppo and corda in Python or the COBRA Toolbox/RAVEN in MATLAB. Use when pruning a generic model to a context, choosing an extraction method and expression threshold, mapping expression through GPR rules to reactions, deciding whether an objective is required (GIMME vs iMAT), avoiding the growth-objective trap for non-proliferating tissue, or judging how much of a context-specific model is real signal versus an artifact of the threshold and method. - bio-systems-biology-metabolic-reconstruction
GPTomics/bioSkills · score 67/100 (grade C)
Builds draft genome-scale metabolic models from an annotated genome using CarveMe (top-down carving of a BiGG universal model) or gapseq (bottom-up pathway-evidence reconstruction), then loads and sanity-checks the draft in COBRApy. Use when creating a model for an organism without one, choosing between CarveMe and gapseq, gap-filling to a target medium, understanding why a draft that grows is still only a hypothesis, handling BiGG-vs-ModelSEED namespace mismatch, or preparing a draft for curation and community modeling. - bio-tcr-bcr-analysis-vdjtools-analysis
GPTomics/bioSkills · score 67/100 (grade C)
Computes immune-repertoire diversity, clonal structure, overlap, and segment usage from TCR/BCR clonotype tables with VDJtools (immunarch as the modern R alternative). Use when deciding which diversity estimator answers a question (q=0 observed richness/chao1/chaoE, q=1 shannonWienerIndex, q=2 inverseSimpson as a Hill profile); normalizing sequencing depth before any cross-sample claim (DownSample or the resampled CalcDiversityStats table); choosing an overlap metric (depth-robust MorisitaHorn/F2 vs depth-biased Jaccard/public counts) and a clonotype match key (-i nt/aa, +/-V/J); summarizing clonality as 1 - normalizedShannonWienerIndex; reading spectratype and V-J usage under primer bias; interpreting public clonotypes; and choosing VDJtools (stable Java CLI) vs immunarch (active tidy R). - bio-vcf-statistics
GPTomics/bioSkills · score 67/100 (grade C)
Compute and interpret VCF quality-control metrics (Ti/Tv, het/hom, novel/known, missingness, HWE, contamination, relatedness) with bcftools stats, vcftools, plot-vcfstats, and identity tools (somalier, peddy, KING). Use when judging whether a callset is trustworthy, diagnosing a low Ti/Tv or outlier het/hom sample, deciding whether an HWE deviation is error or biology, screening a cohort for sample swaps/contamination/wrong-sex before analysis, or comparing call sets before and after filtering. Not for applying filters (see variant-calling/filtering-best-practices) or normalizing representation (see variant-calling/variant-normalization). - bio-workflows-longread-sv-pipeline
GPTomics/bioSkills · score 67/100 (grade C)
Orchestrates an end-to-end long-read structural-variant pipeline - basecalling to minimap2 alignment (platform-matched preset) to Sniffles2/cuteSV/pbsv calling to optional assembly-based calling (dipcall/PAV) to two-step .snf cohort merging to Truvari benchmarking - chaining ONT and PacBio HiFi runs while handing the SV signal mechanism off to the component skills. Use when running a long-read SV workflow from reads to a benchmarked callset, choosing the minimap2 preset and SV caller by platform and goal, deciding when long reads are worth it for the insertions and repeat-mediated SVs short reads physically miss, building a joint-genotyped cohort with the two-step .snf design, or parameterizing a Truvari benchmark against GIAB HG002 Tier 1 plus CMRG. Not for the SV signal mechanism itself (see variant-calling/structural-variant-calling) or short-read SV. - busybox-on-windows
sickn33/antigravity-awesome-skills · score 67/100 (grade C)
How to use a Win32 build of BusyBox to run many of the standard UNIX command line tools on Windows. - chart-visualization
bytedance/deer-flow · score 67/100 (grade C)
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script. - coding-agent-rollout
alirezarezvani/claude-skills · score 67/100 (grade C)
Use when rolling Claude Code out to a team or organization, or auditing a rollout already under way — writing or reviewing shared and managed settings.json permissions, deciding which MCP servers, plugins and marketplaces to approve, cleaning up layered CLAUDE.md files, or measuring whether the team actually uses it. Lints settings across scopes, inventories every MCP server and plugin against an approved list, resolves CLAUDE.md layers and imports, and turns local session data into privacy-safe adoption counts. - competitive-analysis
anthropics/financial-services · score 67/100 (grade C)
Framework for building competitive landscape decks — market positioning, competitor deep-dives, comparative analysis, strategic synthesis. Use when the user asks for a competitive landscape, competitor analysis, peer comparison, market positioning assessment, strategic review, or investment memo deck. Also triggers on "who are the competitors to X", "benchmark X against peers", "build a market map", or any request to systematically evaluate competitive dynamics across an industry. - copilot-sdk
github/awesome-copilot · score 67/100 (grade C)
Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent. - customer-research
coreyhaines31/marketingskills · score 67/100 (grade C)
When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," "PMF survey," "product/market fit survey," "customer interview questions," "interview outreach," "Sales Safari," or "find out why customers churn/convert/buy." Use for analyzing existing research assets, mining online sources, AND running primary research (interviews and surveys). For writing copy informed by research, see copywriting. For acting on research to improve pages, see cro. - debugging-strategies
sickn33/antigravity-awesome-skills · score 67/100 (grade C)
Transform debugging from frustrating guesswork into systematic problem-solving with proven strategies, powerful tools, and methodical approaches. - DevOps Engineer
alirezarezvani/claude-skills · score 67/100 (grade C)
Builds infrastructure that scales without babysitting. Automates everything worth automating. Monitors before it breaks. Treats clicking in consoles as a production incident waiting to happen. Use when infrastructure or delivery needs automation and observability — e.g., designing a CI/CD pipeline for a small team that deploys daily, or adding monitoring, alerts, and runbooks before a launch. - dotnet-mcp-builder
github/awesome-copilot · score 67/100 (grade C)
Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 2.x NuGet packages. Helps with cases the model gets wrong without guidance — stale versions (0.x preview or 1.x-era defaults), the v2 stateless-by-default HTTP flip, the 2026-07-28 spec deprecations (roots/sampling/logging), MCP Apps and Tasks extension packages, elicitation URL mode, per-session HTTP wiring, OAuth and reverse-proxy deploy specifics, and debugging MapMcp / STDIO / Streamable-HTTP errors. Also covers STDIO and Streamable HTTP transports (SSE is deprecated), tools, prompts, resources, completions, and a basic .NET MCP client. Trigger when the user says or implies any .NET MCP server work: ModelContextProtocol, McpServerTool, MapMcp, WithStdioServerTransport, "MCP server in C#", "MCP tool in dotnet", "expose this as MCP", or names a primitive (prompt/resource/elicitation/MCP App) in a .NET context. Skip for MCP work in other languages. - ecc-recipes
affaan-m/ECC · score 67/100 (grade C)
Map a described workflow to the right ECC command group with run-order and stop condition, or browse all command-group recipe families read live from the commands directory. Advisory only — never executes. Use when asked which commands run a workflow, the command sequence for a task, or to list ECC pipelines; not for executing the task (route to the command itself), single-command docs (use ecc-guide), or prompt rewrites (use prompt-optimizer). - ecc-recipes
affaan-m/everything-claude-code · score 67/100 (grade C)
Map a described workflow to the right ECC command group with run-order and stop condition, or browse all command-group recipe families read live from the commands directory. Advisory only — never executes. Use when asked which commands run a workflow, the command sequence for a task, or to list ECC pipelines; not for executing the task (route to the command itself), single-command docs (use ecc-guide), or prompt rewrites (use prompt-optimizer). - error-handling
affaan-m/ECC · score 67/100 (grade C)
Patterns for robust error handling across TypeScript, Python, and Go. Covers typed errors, error boundaries, retries, circuit breakers, and user-facing error messages. Use when designing error types, retries, circuit breakers, or user-facing failure messages in TypeScript, Python, or Go. - error-handling
affaan-m/everything-claude-code · score 67/100 (grade C)
Patterns for robust error handling across TypeScript, Python, and Go. Covers typed errors, error boundaries, retries, circuit breakers, and user-facing error messages. Use when designing error types, retries, circuit breakers, or user-facing failure messages in TypeScript, Python, or Go. - frontend-design
Galaxy-Dawn/claude-scholar · score 67/100 (grade C)
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics. - game-engine
github/awesome-copilot · score 67/100 (grade C)
Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games. - gdpr-compliant
github/awesome-copilot · score 67/100 (grade C)
Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35. - google-cloud-storage-fuse
google/skills · score 67/100 (grade C)
Mounts Cloud Storage buckets on Google Cloud as a POSIX file system with Cloud Storage FUSE (gcsfuse). Use when interacting with gcsfuse or Cloud Storage FUSE mounts: decide whether FUSE, native gs:// reads, or Filestore/Managed Lustre fits a workload, deploy tuned mounts on GKE, Compute Engine, or Cloud Run, enable and size file, stat, and list caches, tune mount flags (--implicit-dirs) or config files, apply workload profiles, keep ML checkpointing safe (rename atomicity, hierarchical namespace/HNS, close-time finalization, concurrent writers), or diagnose slow training, low throughput, or bill spikes with gcsfuse metrics. Covers mount semantics, gcsfuse CLI and configs, GKE gcsfuse CSI driver (Workload Identity principal:// bindings, profile StorageClasses, sidecar sizing), and Cloud Run volume mounts. Don't use for bucket administration without a mount (google-cloud-storage-basics) or POSIX shared file systems (Filestore, Managed Lustre; use gke-storage). - laravel-patterns
affaan-m/ECC · score 67/100 (grade C)
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps. Use when building or reviewing Laravel apps — controllers, Eloquent, service layers, queues, or API resources. - laravel-patterns
affaan-m/everything-claude-code · score 67/100 (grade C)
Laravel architecture patterns, routing/controllers, Eloquent ORM, service layers, queues, events, caching, and API resources for production apps. Use when building or reviewing Laravel apps — controllers, Eloquent, service layers, queues, or API resources. - lsp-setup
github/awesome-copilot · score 67/100 (grade C)
Enable code intelligence (go-to-definition, find-references, hover, type info) for any programming language by installing and configuring an LSP server for Copilot CLI. Detects the OS, installs the right server, and generates the JSON configuration (user-level or repo-level). Use when you need deeper code understanding and no LSP server is configured, or when the user asks to set up, install, or configure an LSP server. - mantis-threat-model
google/mantis · score 67/100 (grade C)
Synthesizes trust boundaries, attack surfaces, and attacker profiles into a living threat model. Use as Stage B of the Knowledge Base generation process, reading architecture and entity definitions from the KB. Don't use for analyzing source code or extracting raw learnings from JSONL files. - marketing-plan
slavingia/skills · score 67/100 (grade C)
Create a minimalist marketing plan focused on building an audience through content, not ads. Use when someone has product-market fit (~100 customers) and wants to scale with marketing, or needs a content strategy. - meetings
alirezarezvani/claude-skills · score 67/100 (grade C)
Use when someone wants to decide whether a meeting is worth calling, price a meeting in dollars, build a timeboxed agenda with desired outcomes, or turn messy meeting notes into owned action items — or says "should this be a meeting", "/cs-meeting-prep", or "/cs-meeting-actions". Runs a cost gate (ASYNC / NOT-READY / MEET), builds a decision-first agenda, and extracts an owner + due-date checklist that flags every orphan. - napkin
github/awesome-copilot · score 67/100 (grade C)
Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas. - orch-refine-code
affaan-m/ECC · score 67/100 (grade C)
Orchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change. - orch-refine-code
affaan-m/everything-claude-code · score 67/100 (grade C)
Orchestrate a behavior-preserving refactor — confirm tests are green, restructure without changing behavior, keep tests green, review, and gated commit. Use when the structure should improve but behavior must not change. - programmatic-seo
coreyhaines31/marketingskills · score 67/100 (grade C)
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," "building many pages for SEO," "pSEO," "generate 100 pages," "data-driven pages," "templated landing pages," or "which CMS for pSEO." Use this whenever someone wants to create many similar pages targeting different keywords or locations. For auditing existing SEO issues, see seo-audit. For content strategy planning, see content-strategy. - prototype
mattpocock/skills · score 67/100 (grade C)
Build a throwaway prototype to answer a design question. Use when the user wants to sanity-check whether a state model or logic feels right, or explore what a UI should look like. - python-pypi-package-builder
github/awesome-copilot · score 67/100 (grade C)
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing. - rails-patterns
affaan-m/ECC · score 67/100 (grade C)
Ruby on Rails framework patterns for Rails 7.1+ and 8.x apps. Covers the directory contract, skinny controllers with service objects, form objects, query objects, idiomatic ActiveRecord, background jobs, ViewComponent, Hotwire, and the Rails 8 Solid stack. Use when building or reviewing Rails apps, controllers, models, services, jobs, or views. - rails-patterns
affaan-m/everything-claude-code · score 67/100 (grade C)
Ruby on Rails framework patterns for Rails 7.1+ and 8.x apps. Covers the directory contract, skinny controllers with service objects, form objects, query objects, idiomatic ActiveRecord, background jobs, ViewComponent, Hotwire, and the Rails 8 Solid stack. Use when building or reviewing Rails apps, controllers, models, services, jobs, or views. - rhino3d-scripts
github/awesome-copilot · score 67/100 (grade C)
Authoring and debugging scripts for Rhinoceros 3D (Rhino 8 and later). Use when asked to write RhinoScript (VBScript / .rvb / .vbs), RhinoPython, or RhinoCommon-based scripts; automate Rhino modeling tasks; build command macros; manipulate Rhino geometry, layers, blocks, or document objects; pick objects from the viewport; control redraw and undo; or load and run scripts from the Rhino Script Editor. Covers `rhinoscriptsyntax`, `scriptcontext`, the `Rhino.*` RhinoCommon namespaces (`Rhino.Geometry`, `Rhino.DocObjects`, `Rhino.Input`, `Rhino.UI`, `Rhino.Display`, `Rhino.FileIO`), and the Rhino 8 unified Script Editor. - seo-audit
alirezarezvani/claude-skills · score 67/100 (grade C)
When the user wants to audit, review, or diagnose SEO issues on their site. Also use when the user mentions "SEO audit," "technical SEO," "why am I not ranking," "SEO issues," "on-page SEO," "meta tags review," or "SEO health check." For building pages at scale to target keywords, see programmatic-seo. For adding structured data, see schema-markup. - siem-detection
briiirussell/cybersecurity-skills · score 67/100 (grade C)
Engineer and audit SIEM detection rules — log source coverage, Sigma / KQL / SPL / Elastic query authoring, MITRE ATT&CK mapping, false-positive tuning, and detection-as-code workflows. Use when the user mentions 'SIEM,' 'detection engineering,' 'detection rules,' 'Sigma,' 'KQL,' 'SPL,' 'Splunk,' 'Sentinel,' 'Elastic,' 'Wazuh,' 'Chronicle,' 'detection-as-code,' 'MITRE ATT&CK mapping,' 'log coverage,' 'alert tuning,' 'use case development,' or needs help building or improving security detections. - sign-in-with-google-web
google/skills · score 67/100 (grade C)
Implement, configure, and secure Sign In With Google (SiwG) using Google Identity Services (GIS / `https://accounts.google.com/gsi/client`) across web architectures. Use when creating Google sign-in buttons, implementing Google One Tap with FedCM, integrating GIS in React/Next.js/Angular/HTML, verifying ID tokens on backend runtimes (Python/Node.js/Go/Java), enforcing Google Workspace domain restrictions (`hd`), securing client-side ID tokens via WebCrypto nonces or encrypted IndexedDB, embedding in cross-origin iframes via the Intermediate Iframe API (`https://accounts.google.com/gsi/intermediate`), configuring Content Security Policy (CSP), COOP, and Permissions Policy (`identity-credentials-get`) headers, or handling sign-out and revocation. Don't use for legacy Google Sign-In (`gapi.auth2`), Google Cloud IAM service accounts, or Android/iOS native Credential Manager. - slang-shader-engineer
github/awesome-copilot · score 67/100 (grade C)
Use when working with Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics, interfaces, capabilities, cross-compilation, shader optimization, shader review, or C++ engine integration for Slang. Trigger on any mention of Slang, .slang files, slangc, SPIR-V from Slang, Slang modules, [shader("compute")], [shader("vertex")], or requests to write/review/refactor shader code with modern language features. Also trigger for Slang-to-HLSL/GLSL/Metal/CUDA cross-compile questions, or when the user says "shader" alongside "generics", "interfaces", "parameter blocks", "autodiff", or "capabilities". - spinning-up-deep-rl
alirezarezvani/claude-skills · score 67/100 (grade C)
Knowledge base from \"Spinning Up in Deep RL\" by Joshua Achiam (OpenAI, MIT-licensed). Use when applying Achiam's frameworks for RL fundamentals and MDPs, the model-free algorithm taxonomy, policy gradient derivations, the six reference algorithms (VPG, TRPO, PPO, DDPG, TD3, SAC), debugging silently-failing RL code, or running rigorous multi-seed RL experiments. - swedish-mentor
alirezarezvani/claude-skills · score 67/100 (grade C)
Mentor Swedish language learners by selecting YouTube video clips and podcast episodes by CEFR level and skill (listening, reading, writing, speaking), and building a simple learning path. Use when the user asks about a Swedish learning path, YouTube clips or podcasts for Swedish, SFI videos, level assessment for svenska, or requests for Peter SFI / Lätt Svenska med Oskar / Radio Sweden på lätt svenska / Klartext-style recommendations. - tdd-red-green-refactor
google-labs-code/design.md · score 67/100 (grade C)
Enforces a disciplined Red-Green-Refactor (TDD) workflow in TypeScript/Node.js. Use this whenever creating new features, fixing bugs, or migrating logic to ensure high-quality, verifiable implementations. - technology-stack-blueprint-generator
github/awesome-copilot · score 67/100 (grade C)
Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks, programming languages, and implementation patterns across multiple platforms (.NET, Java, JavaScript, React, Python). Generates configurable blueprints with version information, licensing details, usage patterns, coding conventions, and visual diagrams. Provides implementation-ready templates and maintains architectural consistency for guided development. - vardoger-analyze
github/awesome-copilot · score 67/100 (grade C)
Use when the user asks to personalize the GitHub Copilot CLI assistant, adapt Copilot to their style, use vardoger, or analyze their Copilot CLI conversation history. Reads the local session directory at `~/.copilot/session-state/`, extracts recurring preferences and conventions, and writes a fenced personalization block into `~/.copilot/copilot-instructions.md`. Runs entirely on the user's machine via the local `vardoger` CLI (`pipx install vardoger`); no network calls and no uploads. Triggers: 'personalize my copilot', 'analyze my copilot history', 'tailor copilot to me', 'run vardoger', 'update my copilot instructions from history', 'make copilot learn my style'. - videodb
affaan-m/ECC · score 67/100 (grade C)
Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK — upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable clips, transcode and reframe, do timeline edits (subtitles, overlays, dubbing), and run real-time alerts on live streams or desktop capture. Use when working with video search, transcription, clipping, transcoding, streaming, or live video alerts. - videodb
affaan-m/everything-claude-code · score 67/100 (grade C)
Ingest, index, search, edit, and monitor video and audio with the VideoDB Python SDK — upload from files, URLs, or RTSP feeds, build spoken and scene indexes with timestamped search and playable clips, transcode and reframe, do timeline edits (subtitles, overlays, dubbing), and run real-time alerts on live streams or desktop capture. Use when working with video search, transcription, clipping, transcoding, streaming, or live video alerts. - weekly-review
alirezarezvani/claude-skills · score 67/100 (grade C)
Use when someone wants to run a weekly review, close open loops, audit stalled projects and commitments, get their system back to trusted, restart a lapsed review habit, or says "/cs-weekly-review". Walks David Allen's three-phase loop — GET CLEAR, GET CURRENT, GET CREATIVE — with deterministic scripts that inventory open loops, gate the checklist with named gaps, and score commitment health 0-100. - xcode-project-analyzer
AvdLee/Xcode-Build-Optimization-Agent-Skill · score 67/100 (grade C)
Audit Xcode project configuration, build settings, scheme behavior, and script phases to find build-time improvements with explicit approval gates. Use when a developer wants project-level build analysis, slow incremental builds, guidance on target dependencies, build settings review, run script phase analysis, parallelization improvements, or module-map and DEFINES_MODULE configuration. - yfinance-data
himself65/finance-skills · score 67/100 (grade C)
Fetch financial and market data with the yfinance Python library (Yahoo Finance). Use this skill whenever the user wants stock data: current quotes and price history, financial statements (income statement, balance sheet, cash flow), options chains, dividends and splits, earnings and analyst estimates, price targets and ratings, institutional and insider holdings, news, multi-ticker comparisons, stock screens, or sector and industry data. Use it even when the user gives only a ticker symbol (AAPL, MSFT, TSLA) and the intent has to be inferred. For earnings previews or recaps, estimate revisions, valuation, correlation, liquidity, or ETF premium analysis, prefer the dedicated skill. - aeo
alirezarezvani/claude-skills · score 66/100 (grade C)
Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize for ChatGPT', 'get cited by Perplexity', 'LLM citation strategy', 'answer engine optimization', 'content for AI search', 'E-E-A-T audit'. Output is a markdown audit report (default) or JSON for pipeline integration. Stdlib-only Python tools. - agent-architecture-audit
affaan-m/ECC · score 66/100 (grade C)
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack. - agent-architecture-audit
affaan-m/everything-claude-code · score 66/100 (grade C)
Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack. - analysis-artifacts
warpdotdev/oz-skills · score 66/100 (grade C)
Generate reproducible analysis artifacts — SQL queries, Python visualizations, and summary tables — as you work through a BigQuery data analysis. Use when asked to conduct a deep dive, exploratory analysis, or investigation that goes beyond a simple data lookup. - backend-patterns
affaan-m/ECC · score 66/100 (grade C)
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access. - backend-patterns
affaan-m/everything-claude-code · score 66/100 (grade C)
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. Use when building or reviewing Node.js, Express, or Next.js API routes and their data access. - benchmark
affaan-m/ECC · score 66/100 (grade C)
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after comparison stored in git-tracked .ecc/benchmarks JSON. Use when checking page speed, responding to 'it feels slow' reports, verifying launch performance targets, or comparing stack alternatives. - benchmark
affaan-m/everything-claude-code · score 66/100 (grade C)
Measure performance baselines and detect regressions across browser Core Web Vitals (LCP, INP, CLS, page weight), API endpoint latency percentiles, and build/test feedback times, with before/after comparison stored in git-tracked .ecc/benchmarks JSON. Use when checking page speed, responding to 'it feels slow' reports, verifying launch performance targets, or comparing stack alternatives. - bio-admet-prediction
GPTomics/bioSkills · score 66/100 (grade C)
Predicts ADMET properties using ADMETlab 3.0 (119 platform features, including 77 prediction models with modeled-endpoint uncertainty), ADMET-AI, DeepChem MolNet, and chemprop D-MPNN with explicit handling of OECD QSAR principles, applicability domain assessment, calibration, hERG/CYP/AMES endpoints, and PAINS / Lipinski / Ro5 / Veber / BBB druglikeness filters. Use when filtering compounds for drug-likeness, prioritizing leads by predicted safety, or building an in-house ADMET QSAR model. - bio-data-visualization-manhattan-qq-locuszoom
GPTomics/bioSkills · score 66/100 (grade C)
Build Manhattan, Miami, QQ, and locuszoom-style regional plots from GWAS, TWAS, PWAS, and QTL summary statistics with correct genomic-inflation diagnostics, multi-trait overlays, lead-SNP labeling, and LD-aware regional rendering. Use when visualizing association results across the genome, comparing two traits, computing genomic inflation lambda, or zooming into a locus with LD coloring. - bio-data-visualization-oncoprint-mutation-matrices
GPTomics/bioSkills · score 66/100 (grade C)
Build OncoPrint and co-mutation matrix plots from somatic-variant cohorts using ComplexHeatmap, maftools, and comut.py with alteration-type stacking, sample ordering by mutational burden, mutual-exclusivity overlays, and clinical annotation tracks. Use when visualizing per-sample mutation patterns across recurrent driver genes, comparing alteration classes, or identifying mutually-exclusive / co-occurring driver pairs. - bio-expression-matrix-counts-ingest
GPTomics/bioSkills · score 66/100 (grade C)
Imports gene expression count matrices from featureCounts, HTSeq, STAR ReadsPerGene, Salmon/kallisto via tximport or tximeta, RSEM, 10X Genomics MTX/H5, AnnData H5AD, and RDS. Handles silent-miscounting traps (featureCounts -p v2.0.2 API break, STAR strandedness column choice, salmon NumReads-sum without tximport, RSEM non-integer expected_count, GENCODE _PAR_Y suffix, zero-length-transcript TPM divide-by-zero), and encodes the tximport countsFromAbundance decision tree with the "lengthScaledTPM is not TPM" warning. Use when assembling a gene-by-sample count matrix from aligner or quantifier output, importing salmon/kallisto for DESeq2 vs limma-voom, choosing strandedness column for STAR, debugging zero-count panics, or building tx2gene mapping. - bio-flow-cytometry-gating-analysis
GPTomics/bioSkills · score 66/100 (grade C)
Defines cell populations in flow and spectral cytometry through manual gates (rectangle, polygon, quadrant, boolean) and reproducible automated gating (openCyto gating templates, flowDensity data-driven thresholds, flowClust model-based gates), organized as a hierarchical GatingSet (flowWorkspace) and round-tripped with FlowJo via CytoML. Covers the canonical gate order (time -> debris -> singlets -> live -> lineage), FMO-vs-isotype boundary setting, gate-order dependence and recompute semantics, rare-event/MRD gating, and per-population statistics. Use when building a gating strategy, automating a manual FlowJo scheme across samples, choosing manual vs data-driven gates, or extracting population frequencies. - bio-hi-c-analysis-matrix-operations
GPTomics/bioSkills · score 66/100 (grade C)
Balances Hi-C contact matrices (ICE via cooler.balance_cooler, KR/SCALE/VC context), computes distance-decay expected with cooltools (expected_cis per-diagonal P(s), expected_trans scalar), builds observed/expected (O/E) matrices, and diagnoses polymer state from the P(s) log-derivative. Covers the within-matrix-vs-cross-sample distinction (balancing is NOT a normalizer), the equal-visibility assumption that CNV/aneuploidy violates (use raw counts for copy-number), cis-only balancing, mad_max/blacklist masking before balancing, multiplicative cooler weights vs divisive juicer weights, and the resolution-vs-depth budget. Use when balancing a .cool/.mcool, computing expected or P(s), making O/E matrices for compartments/loops, deciding ICE vs KR vs SCALE, choosing a resolution for a given depth, or troubleshooting NaN/all-NaN balanced matrices; route cross-sample comparison to hic-differential. - bio-machine-learning-atlas-mapping
GPTomics/bioSkills · score 66/100 (grade C)
Maps query single-cell data onto reference atlases and transfers cell-type labels using scArches surgery (scVI/scANVI), Symphony, Azimuth, CellTypist, scPoli, popV, and foundation models, with explicit out-of-distribution and label-transfer uncertainty. Use when annotating new single-cell datasets against a pre-trained reference, deciding which mapping method fits, or judging whether transferred labels are trustworthy. For de novo clustering and manual annotation see single-cell/cell-annotation; for batch integration without a reference see single-cell/batch-integration. - bio-machine-learning-omics-classifiers
GPTomics/bioSkills · score 66/100 (grade C)
Builds diagnostic and prognostic classifiers on omics feature matrices with regularized logistic regression, random forest, and gradient-boosted trees, handling the p>>n regime, batch shortcut learning, class imbalance, and probability calibration. Use when building a classifier from expression, methylation, or variant data, choosing an algorithm for high-dimensional small-n data, or diagnosing a suspiciously perfect AUC. For unbiased evaluation see machine-learning/model-validation; for feature selection see machine-learning/biomarker-discovery; for time-to-event outcomes see machine-learning/survival-analysis. - bio-metabolomics-msdial-preprocessing
GPTomics/bioSkills · score 66/100 (grade C)
Runs the MS-DIAL preprocessing workflow (peak picking, MS2Dec spectral deconvolution, alignment, gap-filling) and imports the alignment-result table into R or Python with honest filtering. Use when preprocessing LC-MS DDA/DIA (SWATH) raw data with MS-DIAL, deciding MS-DIAL vs XCMS, configuring the MsdialConsoleApp console run, or parsing an MS-DIAL export into a clean feature matrix. For programmatic R peak detection and the feature-table-as-artifact framing see metabolomics/xcms-preprocessing; for lipid annotation mode see metabolomics/lipidomics; for MSI-level confidence honesty see metabolomics/metabolite-annotation; for drift correction and QC see metabolomics/normalization-qc. - bio-metagenomics-visualization
GPTomics/bioSkills · score 66/100 (grade C)
Turns a shotgun profiler table (MetaPhlAn relative abundance, Bracken counts, HUMAnN function tables) into honest figures and defensible community statistics with phyloseq, vegan, microViz, and Python. Covers why an ordination/bar/diversity number is a modeling choice that can manufacture a result, the MetaPhlAn-percent-vs-Bracken-counts fork that decides everything, CLR/Aitchison vs Bray-Curtis, Hill numbers and why shotgun richness is a database readout, pairing PERMANOVA with betadisper, and the multi-tool differential-abundance consensus. Use when plotting taxonomic/functional profiles, computing alpha/beta diversity, running ordination/PERMANOVA, or testing differential abundance. For amplicon/QIIME2 stats see the microbiome category; for compositional theory see abundance-estimation. - bio-motif-search
GPTomics/bioSkills · score 66/100 (grade C)
Find sequence motifs, degenerate IUPAC patterns, and transcription-factor binding sites in DNA/RNA using Biopython and regex, including position weight matrix (PWM/PSSM) scoring. Use when locating regulatory elements, counting overlapping motif occurrences, scanning for binding-site matches above a significance threshold, or reading motif matrices from JASPAR/MEME/TRANSFAC files. For restriction enzyme sites, use restriction-analysis/restriction-sites. - bio-phasing-imputation-reference-panels
GPTomics/bioSkills · score 66/100 (grade C)
Selects and prepares the reference panel that phasing/imputation copies haplotypes from (1000 Genomes, HRC, TOPMed, HGDP+1kGP/gnomAD, CAAPA), matching panel ancestry to the target, reconciling genome build and chromosome naming, and running the strand/allele harmonization gate. Covers why ancestry-match beats panel size (imputation can only copy haplotypes the panel contains), why palindromic A/T and C/G SNPs flip strand without erroring, why liftover is a strand-flip generator in between-build inverted regions, that HRC is SNP-only and TOPMed is never downloadable (governance can override accuracy), and panel formats (msav, bref3, imp5). Use when choosing a panel for a target ancestry, preparing or converting a panel, aligning study data, or deciding between downloadable and server-only panels. Phasing is haplotype-phasing; imputation is genotype-imputation; PCA for ancestry is population-genetics/population-structure; HLA panels are clinical-databases/hla-typing. - bio-read-alignment-bwa-alignment
GPTomics/bioSkills · score 66/100 (grade C)
Aligns DNA short reads (paired- or single-end) to a reference genome with bwa-mem2, the maintained successor to BWA-MEM, for WGS/WES and germline/somatic variant-calling pipelines; covers index build, read-group injection, the collate/fixmate/sort/markdup ordering, soft-clipping for SV split reads, ALT/decoy-aware mapping on GRCh38, -K determinism, and streaming straight to a sorted BAM. Use when mapping DNA short reads to a reference for variant calling, coverage, ChIP/ATAC (alongside bowtie2-alignment), or SV detection. RNA-seq spliced alignment is star-alignment/hisat2-alignment; BAM sort/dedup/stats, the QC gate, and the cross-tool MAPQ scale are alignment-files; read trimming is read-qc; counting reads over features is rna-quantification. - bio-single-cell-clustering
GPTomics/bioSkills · score 66/100 (grade C)
Dimensionality reduction and graph-based clustering for single-cell RNA-seq with Scanpy (Python) and Seurat (R). Resolves which algorithm to use (Leiden vs Louvain), how many PCs and neighbors to set, how to sweep and validate resolution, when a split is over-clustering, and why post-clustering marker p-values are not valid inference. Use when clustering cells, choosing a clustering resolution, deciding whether two clusters are one population, building a UMAP/tSNE, or judging whether clusters are real. - bio-single-cell-lineage-tracing
GPTomics/bioSkills · score 66/100 (grade C)
Reconstructs single-cell lineage trees and clonal relationships from CRISPR/Cas9 scars, static expressed barcodes (LARRY/CellTag), or somatic mtDNA mutations using Cassiopeia, Startle, and CoSpar. Use when building a phylogeny from barcode scars, choosing a tree-reconstruction solver, handling homoplasy and dropout, grouping clones from mtDNA, integrating clone with transcriptomic state, or judging whether a state-based fate call is trustworthy. - bio-workflow-management-nf-core-pipelines
GPTomics/bioSkills · score 66/100 (grade C)
Runs and configures curated nf-core community Nextflow pipelines (rnaseq, sarek, atacseq, methylseq, ampliseq, taxprofiler, fetchngs) reproducibly, pinning the pipeline revision with -r and selecting a container engine and institutional config via -profile. Use when deciding to adopt a community pipeline versus author one from scratch; picking a pipeline and pinning its -r revision; selecting -profile test/docker/singularity/conda plus an institutional config from nf-core/configs; building and validating a samplesheet CSV against the pipeline schema (nf-schema); choosing --genome/iGenomes versus custom references; configuring resources and max_memory for SLURM/AWS Batch; using -resume and -stub; and reading MultiQC outputs. - bio-workflows-chipseq-pipeline
GPTomics/bioSkills · score 66/100 (grade C)
Orchestrates the end-to-end ChIP-seq pipeline from FASTQ to blacklist-filtered, annotated peaks, chaining fastp QC, Bowtie2 alignment, pre-dedup library-complexity QC (NRF/PBC), duplicate removal, chrM + ENCODE-blacklist filtering, MACS3 peak calling against a matched input, IDR/consensus reproducibility, deepTools signal tracks, and ChIPseeker annotation. Use when committing the reference build + blacklist version + effective genome size once, pairing each IP with its matched control, computing complexity metrics BEFORE dedup, choosing narrow vs broad and MACS3 vs SEACR/Genrich, keeping per-replicate peaks for IDR, or avoiding depth-normalization that erases a spike-in global shift. Hands mechanism to the chip-seq component skills; not a re-teach of any single step. - brand-voice
affaan-m/ECC · score 66/100 (grade C)
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes. - brand-voice
affaan-m/everything-claude-code · score 66/100 (grade C)
Build a source-derived writing style profile from real posts, essays, launch notes, docs, or site copy, then reuse that profile across content, outreach, and social workflows. Use when the user wants voice consistency without generic AI writing tropes. - cli-mastery
github/awesome-copilot · score 66/100 (grade C)
Interactive training for the GitHub Copilot CLI. Guided lessons, quizzes, scenario challenges, and a full reference covering slash commands, shortcuts, modes, agents, skills, MCP, and configuration. Say "cliexpert" to start. - commercial-forecaster
alirezarezvani/claude-skills · score 66/100 (grade C)
Use when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number — especially when the CRO needs to walk the board through funnel math + cohort ARR + per-stage conversion assumptions without the theatre of a single undefended number. Decomposes pipeline into commit, best-case, and pipe-only tiers; projects cohort-level NRR/GRR to surface leaky cohorts before they show up in the consolidated number; scores per-stage funnel confidence so soft-floor stages get treated differently from high-confidence ones. Every output explicitly names the conversion rate used, the data window, and the weighting choice. For Head of Commercial, RevOps, VP Sales, and CRO at quarterly forecast or board prep. NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist). - community-marketing
coreyhaines31/marketingskills · score 66/100 (grade C)
Build and leverage online communities to drive product growth and brand loyalty. Use when the user wants to create a community strategy, grow a Discord or Slack community, manage a forum or subreddit, build brand advocates, increase word-of-mouth, drive community-led growth, engage users post-signup, or turn customers into evangelists. Trigger phrases: \"build a community,\" \"community strategy,\" \"Discord community,\" \"Slack community,\" \"community-led growth,\" \"brand advocates,\" \"user community,\" \"forum strategy,\" \"community engagement,\" \"grow our community,\" \"ambassador program,\" \"community flywheel.\" - competitive-intel
alirezarezvani/claude-skills · score 66/100 (grade C)
Systematic competitor tracking that feeds CMO positioning, CRO battlecards, and CPO roadmap decisions. Use when analyzing competitors, building sales battlecards, tracking market moves, positioning against alternatives, or when user mentions competitive intelligence, competitive analysis, competitor research, battlecards, win/loss, or market positioning. - copilot-usage-metrics
github/awesome-copilot · score 66/100 (grade C)
Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API. - database-migrations
affaan-m/ECC · score 66/100 (grade C)
Safe, reversible database migration patterns: forward-only production changes, expand-contract zero-downtime renames, concurrent indexes, batched backfills, and per-tool workflows for PostgreSQL, Prisma, Drizzle, Kysely, Django, and golang-migrate. Use when writing a schema or data migration, adding a column or index to a large table, planning a rollback, or preparing a zero-downtime deploy. - database-migrations
affaan-m/everything-claude-code · score 66/100 (grade C)
Safe, reversible database migration patterns: forward-only production changes, expand-contract zero-downtime renames, concurrent indexes, batched backfills, and per-tool workflows for PostgreSQL, Prisma, Drizzle, Kysely, Django, and golang-migrate. Use when writing a schema or data migration, adding a column or index to a large table, planning a rollback, or preparing a zero-downtime deploy. - django-patterns
affaan-m/ECC · score 66/100 (grade C)
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps. Use when building or reviewing Django apps, DRF APIs, ORM queries, or caching. - django-patterns
affaan-m/everything-claude-code · score 66/100 (grade C)
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps. Use when building or reviewing Django apps, DRF APIs, ORM queries, or caching. - domain-modeling
mattpocock/skills · score 66/100 (grade C)
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a GLOSSARY.md, or recording or editing an ADR. - earnings-preview
himself65/finance-skills · score 66/100 (grade C)
Build a pre-earnings briefing for a stock from Yahoo Finance data (yfinance): the upcoming report date and timing, consensus EPS and revenue estimates with their range, the beat/miss track record, analyst ratings and price targets, and what to watch in the print. Use this skill whenever the user is preparing for an upcoming earnings report or asks what the street expects — consensus or whisper numbers, EPS expectations, whether a company will beat, an earnings setup, or an earnings-season preview — and whenever a ticker comes up in the context of upcoming earnings, even without the word "preview". For results that are already out, use earnings-recap. - flowstudio-power-automate-monitoring
github/awesome-copilot · score 66/100 (grade C)
Pro+ subscription required. Tenant-wide Power Automate monitoring using the FlowStudio MCP cached store: failure rates, run-health trends, maker/app inventory, inactive owners, and compliance/health reports. Use only for aggregated tenant views. For one environment, one flow, run control, or root-cause debugging, use flowstudio-power-automate-mcp, flowstudio-power-automate-debug, or the server monitor-flow bundle. Requires FlowStudio for Teams or MCP Pro+. - generating-python-installer
affaan-m/ECC · score 66/100 (grade C)
Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use when a Python app must ship as a minimal, fast-starting Windows installer; not for basic script-to-exe conversion. 中文触发：Nuitka 极限优化、Python 商业打包、极限编译 Python、dist 瘦身、DLL 分析、最小安装包、最快启动、商业级打包风格 - generating-python-installer
affaan-m/everything-claude-code · score 66/100 (grade C)
Commercial-grade Python installer expert for Windows: Nuitka extreme compilation, dist slimming, DLL footprint analysis, and Inno Setup packaging to ship the smallest, fastest installers. Use when a Python app must ship as a minimal, fast-starting Windows installer; not for basic script-to-exe conversion. 中文触发：Nuitka 极限优化、Python 商业打包、极限编译 Python、dist 瘦身、DLL 分析、最小安装包、最快启动、商业级打包风格 - ios-debugger-agent
Dimillian/Skills · score 66/100 (grade C)
Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools. - md-review
alirezarezvani/claude-skills · score 66/100 (grade C)
Converts a markdown PR writeup or code review (one with ```diff fenced blocks and severity-tagged GFM callouts [!BLOCKER]/[!MAJOR]/[!MINOR]/[!NIT] callouts) into a single-file 2-column HTML review — unified-diff on the left, severity-tagged annotation cards on the right, top jump-nav listing every finding, mandatory named reviewer footer. Triggers when the markdown-html-orchestrator classifies an input as REVIEW, or when invoked directly via /cs-md-review. Refuses without explicit --reviewer (a code review must name a human), refuses if no diff hunks present (route to md-document instead), and refuses to encode severity in color only (every badge ships color + icon + aria-label per WCAG 1.4.1). Use after orchestrator routing. - mmx-cli
MiniMax-AI/skills · score 66/100 (grade C)
Use mmx to generate text, images, video, speech, and music via the MiniMax AI platform. Use when the user wants to create media content, chat with MiniMax models, perform web search, or manage MiniMax API resources from the terminal. - named-persona-adversarial-review
alirezarezvani/claude-skills · score 66/100 (grade C)
Code review through the lens of real engineers' documented philosophies (Torvalds, Thompson, Carmack, Kent Beck, Jobs, Cagan). Complements abstract-role adversarial review with named, sourced perspectives. Use when automated review findings feel generic, when a PR has architectural or UX impact, or when the author wants pre-submit hardening beyond standard checks. - obsidian-cli
kepano/obsidian-skills · score 66/100 (grade C)
Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes. - python-packaging
sickn33/antigravity-awesome-skills · score 66/100 (grade C)
Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI. - pytorch-patterns
affaan-m/ECC · score 66/100 (grade C)
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Use when writing or reviewing PyTorch training loops, model architectures, or data loading, or when a run will not reproduce. - pytorch-patterns
affaan-m/everything-claude-code · score 66/100 (grade C)
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Use when writing or reviewing PyTorch training loops, model architectures, or data loading, or when a run will not reproduce. - rag-architect
alirezarezvani/claude-skills · score 66/100 (grade C)
Use when the user asks to design a RAG pipeline, choose a chunking strategy or embedding model, pick a vector database, or evaluate retrieval quality (precision@k, recall@k, NDCG). Examples: 'design a RAG system for our docs', 'what chunk size should I use for this corpus', 'evaluate my retriever against ground truth'. NOT for general LLM cost tuning (use llm-cost-optimizer) or agent loops over retrieval (use agenthub). - react-performance
affaan-m/ECC · score 66/100 (grade C)
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance. - react-performance
affaan-m/everything-claude-code · score 66/100 (grade C)
React and Next.js performance optimization patterns adapted from Vercel Engineering's React Best Practices (https://github.com/vercel-labs/agent-skills). Organizes 70+ rules across 8 priority categories — waterfalls, bundle size, server-side, client fetching, re-render, rendering, JS micro-perf, advanced. Use when writing, reviewing, or refactoring React/Next.js code for performance. - senior-data-scientist
alirezarezvani/claude-skills · score 66/100 (grade C)
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions. - sql-code-review
github/awesome-copilot · score 66/100 (grade C)
Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage. - threejs-aaa-graphics-builder
majidmanzarpour/threejs-game-skills · score 66/100 (grade C)
Upgrade Three.js games from prototype visuals to premium browser graphics: art-direction critique, procedural model building, material and texture libraries, world prop kits, shaders, VFX, lighting and render pipeline, LOD and instancing, render budgets, and a 10-category visual scorecard. Use when screenshots still look basic or the user asks for premium, AAA, high-fidelity, showcase, or less-basic graphics. - token-card
affaan-m/ECC · score 66/100 (grade C)
Render a token-usage stat card from local Claude Code, Codex, Gemini CLI, and OpenCode session logs and commit it into the repository as a file. Use when someone wants a current usage figure in a README, or asks for a shareable card of their coding-agent activity. - token-card
affaan-m/everything-claude-code · score 66/100 (grade C)
Render a token-usage stat card from local Claude Code, Codex, Gemini CLI, and OpenCode session logs and commit it into the repository as a file. Use when someone wants a current usage figure in a README, or asks for a shareable card of their coding-agent activity. - uncloud
affaan-m/ECC · score 66/100 (grade C)
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI. - uncloud
affaan-m/everything-claude-code · score 66/100 (grade C)
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI. - academic-cv-builder
Paramchoudhary/ResumeSkills · score 65/100 (grade C)
Format CVs for academic positions with publications, grants, and teaching - api-breaking-change-detector
github/awesome-copilot · score 65/100 (grade C)
Cross-references C# Web API controllers/DTOs against their TypeScript/JavaScript consumers (React, Angular, Vue, Svelte, Node.js, or hand-written/auto-generated HTTP clients like Fetch, Axios, NSwag) to catch contract drift in both directions: backend changes that break client applications (renamed/removed JSON keys, new required parameters, status code shifts) and frontend code sending fields the backend no longer reads. Works directly against source code, not exported OpenAPI spec files. Use when the user asks to check for breaking API changes, verify frontend/backend contract sync, or audit a DTO/controller change against its TypeScript/JS consumers before merging. Not for generating new API code from a spec (see openapi-to-application-code) or scaffolding new endpoints (see aspnet-minimal-api-openapi). - bio-alignment-trimming
GPTomics/bioSkills · score 65/100 (grade C)
Trim multiple sequence alignments using ClipKIT, trimAl, BMGE, Divvier, or HMMcleaner with mode selection guidance per downstream goal. Use when removing unreliable columns or contaminating residues before phylogenetic inference, HMM building, or selection analysis. - bio-analytical-validation
GPTomics/bioSkills · score 65/100 (grade C)
Treats a ctDNA assay as a molecule-counting experiment at the Poisson edge and builds its analytical-validation case the measurement-science way. Covers the genome-equivalent currency (~330 haploid copies/ng), the lambda = input_GE x VAF sampling ceiling (lambda>=3 for ~95% detection), the error-suppression ladder (raw NGS ~1e-3 -> single-strand UMI ~1e-4/1e-5 -> duplex <1e-7), the CLSI EP17 LoB/LoD/LoD95/LoQ framework, the per-locus-vs-panel-integrated LoD distinction that lets bespoke MRD reach ppm, contrived/SEQC2 reference standards, and honest LoD reporting conditioned on input mass + consensus depth + replicate detection rate. Use when stating or trusting a sensitivity claim, designing a dilution-series validation, deciding how many genome equivalents are needed at a target VAF, choosing a single-locus vs panel-integrated LoD, or auditing a "detects 0.1% VAF" claim. - bio-crispr-screens-crispresso-editing
GPTomics/bioSkills · score 65/100 (grade C)
Quantifies CRISPR editing outcomes with CRISPResso2 (Clement 2019 Nat Biotechnol) across Cas9-nuclease (indels, HDR), CBE and ABE base editors (target conversion + bystander), and prime editor (pegRNA-templated) modes. Covers single-amplicon (CRISPResso), multi-sample batch (CRISPRessoBatch), pooled-amplicon (CRISPRessoPooled), WGS off-target (CRISPRessoWGS), and sample-comparison (CRISPRessoCompare) workflows; quantification-window math that controls what is called edited; substitution-vs-indel diagnostic to distinguish BE from Cas9 contamination; MMEJ deletion pattern interpretation; allele-frequency tables; and failure modes from amplicon misalignment or contamination. Use when quantifying editing from amplicon sequencing, choosing CRISPResso mode by design, distinguishing intended edits from bystanders and indel byproducts, debugging low-alignment runs, or generating publication-grade editing reports. - bio-data-visualization-flow-and-transition-plots
GPTomics/bioSkills · score 65/100 (grade C)
Build Sankey, alluvial, river, and CONSORT-style flow diagrams to visualize cohort transitions, cell-state changes, or pipeline filtering using ggalluvial, networkD3, plotly, and consort. Use when showing how entities move between categories across timepoints (cell states, drug response classes, patient flow through a trial) or filtering pipelines (variants filtered through QC stages). - bio-data-visualization-interactive-visualization
GPTomics/bioSkills · score 65/100 (grade C)
Build interactive HTML/web visualizations with plotly (Python/R), bokeh (Python), and gganimate/plotly frames for animation, with awareness of current Kaleido static-export model (post-orca-EOL), HTML file-size bloat, and the limits of interactive-only output for journal submission. Use when producing zoomable/hoverable plots for notebook EDA, supplementary HTML, dashboards, or animated time-course / iteration visualizations. - bio-expression-matrix-normalization
GPTomics/bioSkills · score 65/100 (grade C)
Normalizes and transforms RNA-seq count matrices for DE, visualization, clustering, and ML. Covers between-sample (TMM, TMMwsp, RLE/median-of-ratios, upper quartile), within-sample (TPM, FPKM/RPKM), variance-stabilizing (VST, rlog, log-CPM), GC-content correction (cqn, EDASeq), and single-cell (scran deconvolution, scanpy normalize_total). Encodes the composition-bias rationale, the "most genes not DE" assumption and its catastrophic failure modes (MYC amplification, apoptosis, viral host shutoff, prokaryotic stress), the "lengthScaledTPM is not TPM" naming trap, the "TPM is not for DE" rule, the blind=TRUE vs FALSE decision, ERCC spike-in normalization (SBN), and the single-cell zero-inflation breakdown of TMM/RLE. Use when choosing or applying normalization, debugging shifted-MA-plot diagnostics, handling zero-heavy single-cell data, or correcting GC bias. - bio-gene-regulatory-networks-multiomics-grn
GPTomics/bioSkills · score 65/100 (grade C)
Build enhancer-driven gene regulatory networks (eGRNs) by integrating single-cell RNA-seq and ATAC-seq using SCENIC+, CellOracle base GRNs, Pando, FigR, DIRECT-NET, TRIPOD, and scMEGA. Covers the accessibility-defines-enhancers principle, peak-to-gene linking and its cell-composition confound, the paired-vs-unpaired decision, and TF-region-gene eRegulon triplets. Use when analyzing 10x multiome or paired/unpaired scRNA+scATAC to infer cis-regulatory GRNs. For RNA-only regulons see scenic-regulons; for in silico TF perturbation see perturbation-simulation. - bio-genome-annotation-functional-annotation
GPTomics/bioSkills · score 65/100 (grade C)
Assigns GO terms, Pfam/InterPro domains, KEGG orthologs, EC numbers, and product names to predicted proteins using eggNOG-mapper (orthology), InterProScan (domain signatures), and KofamScan (KEGG), routing specialized functions to dbCAN/antiSMASH/AMRFinderPlus/SignalP. Covers the orthology-vs-domain-vs-homology paradigms, the annotation-error percolation cascade, domain-presence-is-not-function, GO IEA circularity in enrichment, evidence tiering, and bit-score/coverage thresholds. Use when adding functional annotation to predicted genes, choosing between eggNOG-mapper and InterProScan, or judging how much to trust a functional label. - bio-genome-assembly-scaffolding
GPTomics/bioSkills · score 65/100 (grade C)
Orders and orients assembled contigs into chromosome-scale scaffolds from long-range linking data, inserting N-gap spacers (adds no sequence). Covers Hi-C/Omni-C scaffolding (YaHS, SALSA2, 3D-DNA/Juicer), Hi-C read-mapping prerequisites (map each end separately, no mate rescue, dedup, enzyme-aware), reading the contact map for misjoins/inversions/false-duplications, manual curation in Juicebox/PretextView (the VGP/DToL standard), reference-guided scaffolding (RagTag) and its karyotype-erasure hazard, genetic-map (ALLMAPS) and Bionano optical-map integration, chimera-breaking before scaffolding, gap-filling, and telomere/contig-vs-scaffold-N50 QC (tidk). Use when turning contigs into chromosomes with Hi-C, integrating a linkage map or optical map, choosing a scaffolder by available linking data, or judging whether a chromosome-scale assembly is trustworthy. - bio-hi-c-analysis-hic-data-io
GPTomics/bioSkills · score 65/100 (grade C)
Loads, converts, and manipulates Hi-C contact matrices in cooler format (.cool/.mcool/.scool) and Juicer .hic, using cooler (Python + CLI), hic2cool, and hictk. Covers the single-resolution mcool URI (file.mcool::/resolutions/<bp>), the load-bearing divisive-vs-multiplicative weight-naming rule (KR/VC/VC_SQRT auto-divisive vs cooler's multiplicative weight), what survives .hic<->.cool conversion (FRAG matrices and norm vectors do not), raw-vs-balanced coarsening, the .pairs upper-triangle/chromsize-order contract, and chrom-naming/bin-table provenance. Use when loading a cooler, converting .hic to .mcool, selecting a resolution, building a cooler from pairs or a matrix, coarsening/zoomifying, importing Juicer norm vectors, or debugging all-NaN balanced matrices and chr1-vs-1 empty fetches. - bio-hi-c-analysis-hic-visualization
GPTomics/bioSkills · score 65/100 (grade C)
Renders Hi-C contact matrices honestly and reproducibly with matplotlib, cooltools, HiCExplorer, pyGenomeTracks, FAN-C, CoolBox, and plotgardener. Covers the raw/ICE-balanced/observed-over-expected transform choice, LogNorm vs symmetric-diverging colormaps with vmax/percentile clipping, resolution-to-feature matching (compartments 100-500kb, TADs 10-40kb, loops 5-10kb), square vs rotated-triangle track-stacking, NaN/white-stripe handling, virtual 4C, APA/saddle/on-diagonal pileups, two-condition side-by-side and log2-ratio maps, and interactive (HiGlass) vs scripted-static publication figures. Use when plotting a contact matrix, choosing a normalization or color scale, building a multi-track Hi-C figure, making a virtual 4C profile, piling up loops/boundaries, or comparing two conditions. - bio-imaging-mass-cytometry-spatial-analysis
GPTomics/bioSkills · score 65/100 (grade C)
Analyze spatial cell-cell interactions, neighborhoods, and niches in IMC/MIBI data with squidpy and imcRtools, covering neighborhood-enrichment permutation nulls, the abundance-vs-density confound, inhomogeneous Ripley's K, cellular-neighborhood discovery, graph-construction (contact vs proximity), and edge effects. Use when testing whether cell types co-locate, choosing a spatial null, building a neighbor graph, discovering tissue niches, or deciding whether a spatial pattern is real or a density/segmentation artifact. - bio-immunoinformatics-neoantigen-prediction
GPTomics/bioSkills · score 65/100 (grade C)
Identify tumor neoantigens from somatic variants with pVACtools (pVACseq/pVACfuse/pVACbind/pVACvector/pVACview) for personalized cancer vaccines and checkpoint biomarkers. Encodes the field's hard truth that binding prediction is the easy, near-solved part and single-digit-percent PPV lives downstream — so it centers clonality/CCF, HLA LOH (the silent invalidator), expression, proximal-variant phasing, agretopicity/foreignness quality, and the predicted->presented->immunogenic validation tiers. Use when nominating vaccine targets, ranking neoantigens, or building a tumor-to-candidate pipeline. Binding details in mhc-binding-prediction; ranking in immunogenicity-scoring. - bio-long-read-sequencing-isoseq-analysis
GPTomics/bioSkills · score 65/100 (grade C)
Discovers, classifies, filters, and quantifies full-length transcript isoforms from PacBio Iso-Seq/Kinnex (HiFi) and Oxford Nanopore (cDNA/direct-RNA) long reads, using the isoseq+pigeon pipeline, SQANTI3, and ONT tools (IsoQuant, FLAIR, Bambu, StringTie2). Covers why a novel isoform is an artifact until proven otherwise (RT template-switching, intra-priming, and 5' degradation manufacture junctions and truncations), the SQANTI3 structural categories and their trust order, the Kinnex skera-split step, orthogonal CAGE/poly-A/short-read-junction validation, and why long-read isoform quantification needs EM. Use when building a full-length isoform catalog, classifying/filtering long-read transcripts, running Iso-Seq or ONT cDNA/dRNA analysis, or judging novel-isoform reliability. - bio-microbiome-qiime2-workflow
GPTomics/bioSkills · score 65/100 (grade C)
Operates the QIIME2 framework as the glue for an amplicon analysis - the .qza/.qzv artifact model, semantic types (FeatureTable[Frequency], SampleData[PairedEndSequencesWithQuality], Phylogeny[Rooted], FeatureData[Taxonomy]), embedded provenance plus provenance replay, import (Casava/manifest/EMP/BIOM), export, the Metadata object, and the q2cli vs Artifact API interfaces. Covers why a .qza is data-plus-executable-history not a file, why export drops provenance, why a .qzv is terminal, why classifier .qza are version-pinned, and the 2026 distribution/rachis rename. Use when importing reads, choosing a manifest/Casava/EMP/BIOM path, reading or replaying provenance, exporting to BIOM/phyloseq, fixing semantic-type or Phred or sklearn-version errors, or orchestrating the pipeline. Denoising -> amplicon-processing; classifier/DB -> taxonomy-assignment; diversity metric/depth -> diversity-analysis; DA tool -> differential-abundance; PICRUSt2 -> functional-prediction; shotgun moshpit -> metagenomics. - bio-multi-omics-similarity-network
GPTomics/bioSkills · score 65/100 (grade C)
Stratifies patients into multi-omics subtypes by building one patient-by-patient similarity network per omic, fusing them with SNF's cross-network diffusion, and spectral-clustering the fused graph - then defending the clusters with stability, survival separation, and replication. Covers why spectral clustering always returns the requested cluster count so a subtype is a claim not a discovery, why the eigengap is a graph property not a biological truth, why fusion is not automatically better than the best single omic, why SNF needs complete data while NEMO handles mosaic cohorts, and the SNFtool API gotchas (dist2 returns squared distance, affinityMatrix width is sigma, spectralClustering K is the cluster count). Use when discovering patient subtypes from multiple omics, choosing a cluster number, validating subtypes, or handling partial multi-omic data. For feature-space factors see mofa-integration; for supervised signatures see mixomics-analysis; for survival see clinical-biostatistics/survival-analysis. - bio-phasing-imputation-haplotype-phasing
GPTomics/bioSkills · score 65/100 (grade C)
Estimates haplotype phase from population linkage disequilibrium with SHAPEIT5, SHAPEIT4, Eagle2, or Beagle - turning unphased genotypes (0/1) into phased haplotypes (0|1) for imputation input, compound-heterozygote calls, HLA typing, or population genetics. Covers why statistical phase is an INFERENCE (not a measurement) whose error concentrates at rare variants, why a genome-wide switch-error rate hides catastrophic rare-variant error and must be reported MAC-stratified, the SHAPEIT5 common-scaffold-then-rare design (phase_common, ligate, phase_rare, switch), reference-based vs within-cohort phasing, the build-matched genetic map, chrX male-haploid handling, and the switch-vs-flip-vs-Hamming distinction. Use when phasing genotypes before imputation, for compound-het/ASE/HLA, or benchmarking against trios. Read-backed / molecular phasing (long reads, Hi-C) is long-read-sequencing/haplotype-phasing; panel choice is reference-panels; imputation is genotype-imputation. - bio-proteomics-data-import
GPTomics/bioSkills · score 65/100 (grade C)
Loads mass-spectrometry data into Python/R and strips the search engine's bookkeeping before any number is trusted -- removes decoys (REV__/Reverse), contaminants (CON__/Potential contaminant), Only-identified-by-site groups, and resolves semicolon razor/leading protein-ID ambiguity in MaxQuant proteinGroups.txt, DIA-NN report.parquet, and mzML/mzXML. Distinguishes Intensity (raw) vs LFQ intensity (MaxLFQ) vs iBAQ, treats a MaxQuant zero as missing (NaN, not log2(-inf)), and inherits the acquisition mode's missingness contract (DDA MNAR vs DIA MCAR). Use when starting an analysis from raw spectra or a search engine output. Downstream normalization and stats are differential-abundance; reporter-ion/MaxLFQ quant is quantification; protein grouping is protein-inference. - bio-proteomics-protein-inference
GPTomics/bioSkills · score 65/100 (grade C)
Groups proteins from peptide identifications and controls protein-level FDR, framing inference as a chosen explanation (parsimony or a probability model) of underdetermined peptide evidence rather than a measurement. Reports protein GROUPS (proteins indistinguishable by observed peptides) with a leading protein, not flat lists. Covers shared-vs-unique peptides, indistinguishable/subsumable proteins, parsimony vs probabilistic (ProteinProphet, EPIFANY) vs razor inference, picked-protein and picked-group FDR, and why the two-peptide rule is wrong. Use when resolving which proteins are present from a peptide list, building protein groups, or estimating protein-level FDR. PSM/peptide FDR and search engines are peptide-identification; razor-vs-unique quant consequences are quantification; isoform/proteoform resolution is top-down and out of scope. - bio-reporting-automated-qc-reports
GPTomics/bioSkills · score 65/100 (grade C)
Aggregates per-tool QC metrics (FastQC, fastp, alignment, quantification, variant calling, single-cell) into one interactive MultiQC report, and guides module scoping, sample-name resolution, large-cohort behavior, and turning the report into an actual QC gate. Use when summarizing QC across many samples, building a shareable quality report, or wiring automated QC into a pipeline. - bio-restriction-golden-gate-assembly
GPTomics/bioSkills · score 65/100 (grade C)
Design and validate Type IIS scarless DNA assembly (Golden Gate, MoClo) using Biopython Bio.Restriction. Screens parts for internal BsaI/BsmBI/BbsI/SapI sites (domestication), previews the fusion overhangs a digest exposes, and validates a fusion-overhang set for distinctness and fidelity. Use when designing a Golden Gate or MoClo assembly, domesticating a part by removing internal Type IIS sites, or choosing and checking fusion overhangs for one-pot assembly. - bio-sequence-slicing
GPTomics/bioSkills · score 65/100 (grade C)
Slice, extract, and concatenate biological sequences and annotated records using Biopython. Use when extracting subsequences by position, splicing exons into a transcript, joining sequences, or carrying a sub-region of an annotated record (with quality scores and features) into a new record. - bio-single-cell-cell-communication
GPTomics/bioSkills · score 65/100 (grade C)
Infers ligand-receptor cell-cell communication from scRNA-seq with a consensus-first workflow (LIANA), plus CellPhoneDB specificity tests, CellChat pathway probabilities, and NicheNet downstream ligand-activity. Use when ranking ligand-receptor interactions between cell types, comparing communication across conditions, asking which ligand drives a receiver response, or deciding which CCC method and resource to trust. - bio-spatial-transcriptomics-spatial-neighbors
GPTomics/bioSkills · score 65/100 (grade C)
Build the spatial neighbor graph that every downstream spatial statistic (Moran's I, neighborhood enrichment, co-occurrence, spatial domains) inherits, using Squidpy. Use when choosing the graph type (kNN vs Delaunay vs fixed-radius vs Visium hex grid) and understanding why it silently changes every downstream result; handling variable cell density (kNN fixes neighbor COUNT, fixed-radius fixes physical DISTANCE -- each distorts the other); getting coordinate units right (pixels vs microns; Visium array coords are not distance); pruning Delaunay long edges across tissue gaps; running the graph sensitivity analysis almost nobody runs; and knowing when planar section neighbors misrepresent a 3D tissue. - bio-structural-biology-structure-preparation
GPTomics/bioSkills · score 65/100 (grade C)
Prepares a deposited or predicted structure for docking, molecular dynamics, or electrostatics by adding hydrogens, assigning protonation and tautomer states, and filling missing atoms and short loops with PDBFixer, reduce, PROPKA, and PDB2PQR. Use when adding hydrogens an X-ray model never resolved; assigning His HID/HIE/HIP tautomers, Asn/Gln/His 180-degree flips, and Cys/Lys/Asp/Glu pKa-shifted protonation at a stated pH and microenvironment rather than trusting standard pKa 7; filling missing side-chain atoms and modeling short missing loops as disorder hypotheses; making a receptor docking- or MD-ready and recording what was built; preparing a predicted model after trimming low-pLDDT regions; and writing a PQR for Poisson-Boltzmann electrostatics. Keywords PDBFixer, reduce, PROPKA, PDB2PQR, protonation, tautomer, missing atoms, hydrogens, pKa, docking prep, MD prep. - bio-systems-biology-community-metabolic-modeling
GPTomics/bioSkills · score 65/100 (grade C)
Builds and simulates multi-species metabolic community models from member genome-scale models, using MICOM for abundance-weighted steady-state community FBA and cooperative tradeoff, SMETANA for cross-feeding and competition scoring, and SteadyCom/COMETS for common-growth-rate and dynamic simulation. Use when modeling a microbiome or co-culture, predicting cross-feeding and competition, abundance-weighting members from metagenomics, choosing steady-state vs dynamic community modeling, avoiding the compartment-pooling artifact, or judging how member-model quality and namespace propagate into community predictions. - constraint-driven-development
addyosmani/agent-skills · score 65/100 (grade C)
Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when the user wants dimensions they care about — accessibility, web performance, coverage — set up as enforced constraints, when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read. - cpp-coding-standards
affaan-m/ECC · score 65/100 (grade C)
C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices. - cpp-coding-standards
affaan-m/everything-claude-code · score 65/100 (grade C)
C++ coding standards based on the C++ Core Guidelines (isocpp.github.io). Use when writing, reviewing, or refactoring C++ code to enforce modern, safe, and idiomatic practices. - dashboard-builder
affaan-m/ECC · score 65/100 (grade C)
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board. - dashboard-builder
affaan-m/everything-claude-code · score 65/100 (grade C)
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms. Use when turning metrics into a working dashboard instead of a vanity board. - data-scraper-agent
affaan-m/ECC · score 65/100 (grade C)
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically. - data-scraper-agent
affaan-m/everything-claude-code · score 65/100 (grade C)
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically. - deck-refresh
anthropics/financial-services · score 65/100 (grade C)
Updates a presentation with new numbers — quarterly refreshes, earnings updates, comp rolls, rebased market data. Use whenever the user asks to "update the deck with Q4 numbers", "refresh the comps", "roll this forward", "swap in the new earnings", "change all the $485M to $512M", or any request to swap figures across an existing deck without rebuilding it. - deep-work
alirezarezvani/claude-skills · score 65/100 (grade C)
Use when someone wants to plan a deep work day, time-block their calendar or task list, budget or cut shallow work, protect focus hours, track deep-work sessions and streaks, run an end-of-day shutdown ritual, or says "/deep-work" or "/time-block". Classifies tasks deep vs shallow, builds an energy-first time-blocked schedule that refuses deep demand past the 4-hour ceiling, batches shallow work into at most two windows, and logs focus sessions against a weekly target. - design-taste-frontend
Leonxlnx/taste-skill · score 65/100 (grade C)
tasteskill v2, the anti-slop frontend skill. Art direction for websites, distilled from a study of 247 curated gallery sites (One Page Love, Awwwards Sites of the Day). Deals researched directions (idea, composition, type, palette, photographs, section blueprints) from a library, enforces a strict no-slop house style with a real-browser inspector, and runs a look-and-fix loop on screenshots. Use this whenever you build, design, redesign, restyle, polish or review a landing page, marketing site, portfolio, product page, one-pager, hero or any public-facing web page, in any stack (HTML/CSS, React, Next.js, Vue, Svelte, Astro, Tailwind) — also when the user says a page looks generic, templated, "AI-made", sloppy, or asks to make it look designed, premium, award-level or less like every other site. Also for app screens: dashboards, admin and analytics views, settings, inboxes and other screens people work in, with their own run and rules. - diagnosing-superpowers
obra/superpowers · score 65/100 (grade C)
Use when a superpowers session went wrong and your human partner wants to know why — repeated work, ignored plans, stumbles, poor results, a skill that didn't fire, "it took too long", "why is it so expensive", "what is it doing" — or wants to build a bug report for the superpowers maintainers, for the current session or a past one identified by id or path, on any harness. - dotnet-patterns
affaan-m/ECC · score 65/100 (grade C)
Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications. Use when writing or reviewing C# / .NET code — DI, async, or general conventions. - dotnet-patterns
affaan-m/everything-claude-code · score 65/100 (grade C)
Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building robust, maintainable .NET applications. Use when writing or reviewing C# / .NET code — DI, async, or general conventions. - electron-development
sickn33/antigravity-awesome-skills · score 65/100 (grade C)
Master Electron desktop app development with secure IPC, contextIsolation, preload scripts, multi-process architecture, electron-builder packaging, code signing, and auto-update. - engineer-system-change
bytedance/deer-flow · score 65/100 (grade C)
Evaluate and carry out non-trivial software-system changes from first principles. Use when assessing RFCs, issues, designs, features, refactors, migrations, dependency changes, or proposed fields, events, APIs, modules, and services whose need, consumers, system fit, validation, or rollback require scrutiny. Read the actual system, identify the concrete problem and named semantic consumers, choose the smallest sufficient solution, reject pseudo-requirements and speculative abstractions, and require evidence proportional to risk. Do not use for mechanical edits, source-code explanation, or a dedicated review of an already-complete diff. - gh-address-comments
openai/skills · score 65/100 (grade C)
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in. - gpt-review
davidondrej/skills · score 65/100 (grade C)
Launch an independent GPT-6.1-Sol Max code review and return it verbatim. Use only when the user explicitly invokes /gpt-review. - ito-compute
affaan-m/ECC · score 65/100 (grade C)
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, validate GPU nodes, revoke Itô access, or rent or purchase GPU compute and needs the supported boundary explained. - ito-compute
affaan-m/everything-claude-code · score 65/100 (grade C)
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, revoke device credentials, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, validate GPU nodes, revoke Itô access, or rent or purchase GPU compute and needs the supported boundary explained. - javascript-typescript-jest
github/awesome-copilot · score 65/100 (grade C)
Best practices for writing JavaScript/TypeScript tests using Jest, including mocking strategies, test structure, and common patterns. - macro-rates-monitor
anthropics/financial-services · score 65/100 (grade C)
Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions. - motion-doctrine
heygen-com/hyperframes · score 65/100 (grade C)
GATEWAY — load FIRST before composing any HyperFrames animation or video. The high-level motion law that makes a multi-scene video feel like ONE continuous camera move instead of a stack of independently-animated slides. Covers the vector law (how you exit determines how you enter, incl. the Z scale-sign rule), the film's current, carrier elements, causal motion, the Seam Gate (build-gate enforcement), the ban on idle wobble (motion must PERFORM, not breathe), stillness-before-climax, and the sustained-motion routes. Routes to the low-level technique skills (cut-the-curve — the full catalog incl. waterfall entry + nudge curve, oversized-cursor, seam-craft). These rules SUPERSEDE generic / upstream motion guidance. [continuity, direction, vector, momentum, seam, transition, ease, performance, idle-motion, narrative-motion, film-grammar] - muse-review
davidondrej/skills · score 65/100 (grade C)
Launch an independent Meta Muse Wonder Max code review through Pi and OpenRouter, and return it verbatim. Use only when the user explicitly invokes /muse-review. - online-shopping
davidondrej/skills · score 65/100 (grade C)
Research online purchases, prices, and shop trust. Use for buying advice, subscriptions, or shopping photos, links, and checkout screens. - product-analytics
alirezarezvani/claude-skills · score 65/100 (grade C)
Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages. - resume-section-builder
Paramchoudhary/ResumeSkills · score 65/100 (grade C)
Create targeted resume sections optimized for different experience levels and roles - salesforce-component-standards
github/awesome-copilot · score 65/100 (grade C)
Quality standards for Salesforce Lightning Web Components (LWC), Aura components, and Visualforce pages. Covers SLDS 2 compliance, accessibility (WCAG 2.1 AA), data access pattern selection, component communication rules, XSS prevention, CSRF enforcement, FLS/CRUD in AuraEnabled methods, view state management, and Jest test requirements. Use this skill when building or reviewing any Salesforce UI component to enforce platform-specific security and quality standards. - springboot-patterns
affaan-m/ECC · score 65/100 (grade C)
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work. Use when building or reviewing a Spring Boot backend — REST layer, services, data access, caching, or async work. - springboot-patterns
affaan-m/everything-claude-code · score 65/100 (grade C)
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work. Use when building or reviewing a Spring Boot backend — REST layer, services, data access, caching, or async work. - swiftui-liquid-glass
Dimillian/Skills · score 65/100 (grade C)
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment. - threejs-debug-profiler
majidmanzarpour/threejs-game-skills · score 65/100 (grade C)
Debug and profile Three.js browser games: blank canvases, render and runtime bugs, asset and audio loading, animation, resize, mobile input, plus performance profiling of draw calls, triangles, textures, memory, shader and post-processing cost, and bundle size. - asc-crash-triage
rudrankriyam/app-store-connect-cli-skills · score 64/100 (grade D)
Triage TestFlight crashes, beta feedback, and performance diagnostics using asc. Use when the user asks about TF crashes, TestFlight crash reports, beta tester feedback, app hangs, disk writes, launch diagnostics, or wants a crash summary for a build or app. - bio-chipseq-peak-annotation
GPTomics/bioSkills · score 64/100 (grade D)
Annotates ChIP-seq peaks to genomic features, nearest genes, ENCODE candidate cis-regulatory elements (cCREs), and regulatory domains. Uses ChIPseeker (R), HOMER annotatePeaks.pl (CLI), pyranges (Python), GREAT/rGREAT (regulatory domain gene-set enrichment), ChIP-Enrich (locus-length-adjusted), ENCODE SCREEN cCRE classification (PLS/pELS/dELS/CA-CTCF/CA-H3K4me3), and ENCODE-rE2G for cell-type-specific enhancer-gene linking. Handles nearest-TSS vs host-gene ambiguity, promoter window definition, and feature priority. Use when assigning genomic context to peaks, linking enhancer peaks to target genes, classifying peaks against ENCODE cCRE registry, or running gene-set enrichment on peak-associated genes. - bio-comparative-genomics-introgression-detection
GPTomics/bioSkills · score 64/100 (grade D)
Detect introgression and admixture between species or populations using Dsuite (Malinsky 2021 fast D-statistics), Patterson's D / ABBA-BABA test (Green 2010; Durand 2011), f4-ratio and f-branch statistic (Malinsky 2018), TreeMix (Pickrell & Pritchard 2012), HyDe (Blischak 2018), QuIBL (Edelman 2019), sprime (Browning 2018), Twisst (Martin 2017), PhyloNet (Than 2008) for explicit phylogenetic networks, and qpAdm / qpGraph (Patterson 2012). Distinguish introgression from incomplete lineage sorting (ILS), ancestral structure, ghost-lineage admixture, and rate variation. Use when testing inter-species gene flow, dating admixture events, identifying introgressed segments, building phylogenetic networks for reticulate evolution, or applying the ABBAclustering (Koppetsch-Malinsky-Matschiner 2024) framework for divergent-species gene flow. - bio-comparative-genomics-whole-genome-duplication
GPTomics/bioSkills · score 64/100 (grade D)
Detect, date, and contextualize whole-genome duplication (WGD / paleopolyploidy) events using wgd v2 (Chen et al 2024), KsRates (Sensalari 2022 substitution-rate-corrected Ks dating), DupGen_finder (Qiao 2019), MAPS (Li 2018 phylogenomic), POInT (Conant 2008 ordered-block), SLEDGe (2024 ML-based), Whale.jl (Bayesian DL+WGD), and synteny-anchored paranome construction. Use when identifying ancient polyploidy from Ks distributions and synteny block analysis, positioning WGD events relative to speciation, distinguishing tandem from segmental from WGD duplications, dating the 2R/3R vertebrate / fish / salmonid WGDs, building paranome and Ks-age mixture models, applying KsRates substitution-rate correction across lineages, or testing alternative biased-fractionation / dosage-balance models post-WGD. - bio-data-visualization-ggplot2-fundamentals
GPTomics/bioSkills · score 64/100 (grade D)
Build publication-quality figures in R with ggplot2 using the grammar of graphics (data + aesthetics + geometries + scales + facets + themes) with CVD-safe palettes, cairo_pdf TrueType embedding, programmatic aes via tidy evaluation, and the theme_classic publication baseline. Use when producing static figures in R for papers, presentations, or reports. - bio-data-visualization-heatmaps-clustering
GPTomics/bioSkills · score 64/100 (grade D)
Build clustered heatmaps for expression matrices and other features-by-samples data with rigorous distance/linkage/scaling choices, robust color mapping, optimal leaf ordering, and ComplexHeatmap/pheatmap/seaborn rendering. Covers the ward.D vs ward.D2 trap, the row-vs-column scaling decision, multi-track annotations, oncoPrint, and raster rendering for large matrices. Use when visualizing expression patterns across samples or identifying co-regulated clusters. - bio-data-visualization-multipanel-figures
GPTomics/bioSkills · score 64/100 (grade D)
Compose multi-panel publication figures with patchwork, cowplot, gridExtra (R), or matplotlib GridSpec/subfigures (Python) including shared axes/legends/guides collection, panel labels in Nature/Cell convention, and journal-spec sizing. Covers patchwork ≥1.2.0 axes='collect' feature, Type-42 font embedding, and the cairo_pdf save path. Use when composing 2+ subpanels into a single figure for journal submission. - bio-genome-annotation-repeat-annotation
GPTomics/bioSkills · score 64/100 (grade D)
Discovers, classifies, and masks repetitive elements and transposable elements with RepeatModeler2 (de novo family library), RepeatMasker (masking against a library), EDTA (plant/structural TEs), or EarlGrey (auto-curating wrapper), and quantifies TE expression from RNA-seq with TEtranscripts/SQuIRE. Covers de-novo-library-as-curation-project, soft-vs-hard masking, the domesticated-gene over-masking massacre, Dfam-vs-RepBase, TE classification (Class I/II, family-vs-copy), Kimura repeat landscapes, LAI, and the RNA-seq multimapping problem. Use when masking repeats before gene prediction, building a TE library for a non-model genome, or analyzing transposable-element content or expression. - bio-genome-intervals-bed-file-basics
GPTomics/bioSkills · score 64/100 (grade D)
Handles BED-format genomic intervals (BED3 through BED12, narrowPeak/broadPeak) and the coordinate-system substrate the whole interval category rests on, with bedtools (CLI) and pybedtools/pyranges/pandas (Python). Covers the 0-based half-open vs 1-based-closed convention boundary and the start-1/end-unchanged conversion, the silent failures (chrom-name mismatch, CRLF, lexicographic-vs-version sort under -sorted), genome/chrom.sizes generation, sorting contracts, BED12 block invariants, validation, makewindows, cross-assembly liftover (liftOver/CrossMap), and BED<->VCF/BAM/FASTA conversion. Use when reading, creating, validating, sorting, lifting between genome builds, or converting interval files, preparing inputs for bedtools/tabix/bigBed, or debugging an off-by-one or empty-overlap result. - bio-genome-intervals-coverage-analysis
GPTomics/bioSkills · score 64/100 (grade D)
Computes and interprets sequencing read depth and coverage over a genome, windows, or target regions with mosdepth (windowed depth, cumulative distribution, --quantize callable BEDs), bedtools genomecov/coverage (bedGraph tracks, per-target stats), samtools depth/coverage (per-base depth, per-contig depth+breadth). Covers the breadth-vs-mean distinction, the cumulative-coverage curve, evenness (CV/Fano/fold-80/Gini), what each tool silently counts (duplicates, secondary/supplementary, MAPQ, read span vs fragment, mate-overlap), the samtools-depth 8000-cap version trap, and the bedtools coverage -a/-b orientation flip. Use when assessing sequencing adequacy, building coverage tracks, computing breadth at a depth threshold, defining callable regions, or QCing target-capture uniformity. - bio-machine-learning-survival-analysis
GPTomics/bioSkills · score 64/100 (grade D)
Builds and validates predictive time-to-event models on clinical and omics data with penalized Cox, random survival forests, gradient-boosted and deep survival models, and prediction-grade evaluation (Uno's C, time-dependent AUC, integrated Brier, calibration, competing risks). Use when building an individualized risk predictor or prognostic omics signature, choosing a survival model, or evaluating one beyond the C-index. For Kaplan-Meier, log-rank, and classical Cox hazard-ratio inference in a trial see clinical-biostatistics/survival-analysis. - bio-metabolomics-targeted-analysis
GPTomics/bioSkills · score 64/100 (grade D)
Designs and validates quantitative targeted metabolomics assays (MRM/SRM on triple-quadrupole, PRM on high-resolution instruments) to report absolute concentrations. Covers the internal-standard strategy (external cal -> global IS -> standard addition -> stable-isotope-labeled IS), weighted calibration judged by back-calculated %RE not R-squared, ion-ratio quantifier/qualifier confirmation, matrix-effect/recovery characterization, and ICH M10 method validation. Use when quantifying a closed panel of known metabolites with units, building or validating an LC-MS/MS assay, choosing an IS or calibration weighting, or judging whether a reported concentration is trustworthy. For untargeted feature detection see metabolomics/xcms-preprocessing; for group statistics see metabolomics/statistical-analysis; for flux/MID/tracing see metabolomics/isotope-tracing. - bio-population-genetics-rare-variant-association
GPTomics/bioSkills · score 64/100 (grade D)
Gene and region-based rare-variant aggregation - burden/collapsing, SKAT, SKAT-O, ACAT-V/ACAT-O, annotation-weighted STAAR - with regenie (--vc-tests), SAIGE-GENE+, and the SKAT R package. Single-variant tests are powerless at low minor allele count, so rare variants are aggregated across a gene or region under an explicit mask (functional class plus a MAF cutoff). A burden test collapses variants into one score assuming a single effect direction (powerful when true, near-zero power when risk and protective variants cancel); SKAT is a variance-component test robust to mixed directions; SKAT-O blends the two; ACAT/STAAR are dependence-robust and annotation-weighted. The mask is the hypothesis, imbalance needs SPA or Firth, and testing burden is per-gene-per-mask. Use when aggregating rare coding or regulatory variants into gene or region tests, choosing burden vs SKAT vs SKAT-O, or building masks. For single-variant GWAS see association-testing; for mask annotations see variant-calling/variant-annotation. - bio-rna-structure-ncrna-search
GPTomics/bioSkills · score 64/100 (grade D)
Searches for non-coding RNA homologs and classifies RNA families with Infernal covariance models against Rfam, scoring sequence AND secondary-structure conservation jointly. Use when deciding whether a covariance model is the right tool versus BLAST/nhmmer (structured ncRNA versus lncRNA or mature miRNA); choosing the Rfam gathering threshold over a flat E-value; resolving clan overlaps; building and calibrating a custom CM from a structure-annotated alignment; or preferring a family-specialized tool (tRNAscan-SE, barrnap) over a generic Rfam scan. - bio-structural-biology-structure-io
GPTomics/bioSkills · score 64/100 (grade D)
Reads, writes, downloads, and converts macromolecular structures with Biopython Bio.PDB. Use when choosing a format (mmCIF/PDBx vs legacy PDB vs BinaryCIF) for a structure that may exceed PDB's ~62-chain / 99,999-atom limits; when residue numbers do not match the paper because of auth_* vs label_* numbering (MMCIFParser defaults auth_residues=True); when metadata (resolution, method, R-free) is missing because Bio.PDB drops it and MMCIF2Dict is needed; when the deposited coordinates are the asymmetric unit and the biological assembly must be downloaded separately; when downloading from RCSB (files.rcsb.org, PDBList); and when a legacy MMTF path is dead (RCSB retired MMTF July 2024, use BinaryCIF). - bio-variant-calling-clinical-interpretation
GPTomics/bioSkills · score 64/100 (grade D)
Classify variant clinical significance with the ACMG/AMP germline framework and its 2018-2025 ClinGen refinements (graded PVS1 decision tree, PM2 downgraded to Supporting, PP5/BP6 retired, calibrated PP3/BP4, Bayesian points), the AMP/ASCO/CAP somatic tiers and ClinGen oncogenicity system, ClinVar star-rating and gnomAD grpmax filtering-AF interpretation. Use when deciding germline-vs-somatic framework, applying current (not flat-2015) ACMG points, checking for a gene-specific VCEP specification, judging whether a ClinVar assertion or gnomAD frequency is usable evidence, calibrating a pathogenicity predictor, evaluating PVS1 on the MANE Select transcript, or building a VUS reanalysis loop. Not for functional annotation itself (see variant-calling/variant-annotation). - board-prep
alirezarezvani/claude-skills · score 64/100 (grade D)
Board meeting preparation for the adversarial scenario, not the friendly one. Forces numbers-cold mastery, anticipates hard questions, builds a narrative that acknowledges weakness without losing the room. Use when preparing for a board meeting, an investor update, fundraising presentation, or any high-stakes adversarial review where every number must live in your head not just on a slide. - business-investment-advisor
alirezarezvani/claude-skills · score 64/100 (grade D)
Business investment analysis and capital allocation advisor. Use when evaluating whether to invest in equipment, real estate, a new business, hiring, technology, or any capital expenditure. Also use for ROI calculations, IRR, NPV, payback period, build vs buy decisions, lease vs buy analysis, vendor evaluation, or deciding where to allocate limited budget for maximum return. - business-name-fit
alirezarezvani/claude-skills · score 64/100 (grade D)
Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into. Use when someone is naming a company, brand, or product and cares about how it lands across languages and regions — for example a name that sounds right at home but might read oddly to English speakers, or an authentic name they want to check before committing. Trigger this for any request about choosing a business name, checking if a name "works" abroad, spotting bad meanings in other languages, or making a name sound trustworthy in a specific market — even if the person doesn't say the word "skill". - cavecrew
JuliusBrussee/caveman · score 64/100 (grade D)
When to delegate to `cavecrew-investigator` (locate code), `cavecrew-builder` (1-2 file edit) or `cavecrew-reviewer` (diff review) instead of working inline or using `Explore`. Their output is compressed, so main context lasts longer. - cs-webinar-marketer
alirezarezvani/claude-skills · score 64/100 (grade D)
Webinar & virtual-event marketing specialist agent. Use when planning, promoting, running, or rescuing a webinar, virtual event, live demo, workshop, masterclass, fireside chat, or virtual summit. Orchestrates the webinar-marketing skill — sizes the funnel backward from the business goal, builds the promotion runway, designs the show-up and live-to-close sequences, scores an existing funnel to find the broken stage, and plans evergreen/on-demand automation. Treats a webinar as a funnel, not an event. Voice — outcome-obsessed demand operator; refuses to celebrate registrations when nobody shows up or buys; fixes the stage that's actually broken instead of rewriting the landing page by reflex. - fluentui-blazor
github/awesome-copilot · score 64/100 (grade D)
Guide for using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with "Fluent". Also use when troubleshooting missing providers, JS interop issues, or theming. - folder-structure-blueprint-generator
github/awesome-copilot · score 64/100 (grade D)
Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks. - freecad-scripts
github/awesome-copilot · score 64/100 (grade D)
Expert skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics, geometry creation, FeaturePython objects, interface tools, and macro development. - go-rust-reverse
sickn33/antigravity-awesome-skills · score 64/100 (grade D)
Reverse engineer stripped Go and Rust binaries: runtime recognition, pclntab/module metadata recovery, panic-string analysis, and idiomatic decompilation strategies. - gsap-framer-scroll-animation
github/awesome-copilot · score 64/100 (grade D)
Use this skill whenever the user wants to build scroll animations, scroll effects, parallax, scroll-triggered reveals, pinned sections, horizontal scroll, text animations, or any motion tied to scroll position — in vanilla JS, React, or Next.js. Covers GSAP ScrollTrigger (pinning, scrubbing, snapping, timelines, horizontal scroll, ScrollSmoother, matchMedia) and Framer Motion / Motion v12 (useScroll, useTransform, useSpring, whileInView, variants). Use this skill even if the user just says "animate on scroll", "fade in as I scroll", "make it scroll like Apple", "parallax effect", "sticky section", "scroll progress bar", or "entrance animation". Also triggers for Copilot prompt patterns for GSAP or Framer Motion code generation. Pairs with the premium-frontend-ui skill for creative philosophy and design-level polish. - hyperframes-cli
heygen-com/hyperframes · score 64/100 (grade D)
The HyperFrames CLI by job - scaffold, check, look at frames, edit the timeline, preview, render locally or in the cloud, publish, project history - plus reading its JSON and recovering from build or render failures. - ios-application-dev
MiniMax-AI/skills · score 64/100 (grade D)
iOS application development guide covering UIKit, SnapKit, and SwiftUI. Includes touch targets, safe areas, navigation patterns, Dynamic Type, Dark Mode, accessibility, collection views, common UI components, and SwiftUI design guidelines. For detailed references on specific topics, see the reference files. Use when: developing iOS apps, implementing UI, reviewing iOS code, working with UIKit/SnapKit/SwiftUI layouts, building iPhone interfaces, Swift mobile development, Apple HIG compliance, iOS accessibility implementation. - kotlin-coroutines-flows
affaan-m/ECC · score 64/100 (grade D)
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing. Use when writing coroutines or Flow code on Android or KMP, or debugging cancellation and concurrency. - kotlin-coroutines-flows
affaan-m/everything-claude-code · score 64/100 (grade D)
Kotlin Coroutines and Flow patterns for Android and KMP — structured concurrency, Flow operators, StateFlow, error handling, and testing. Use when writing coroutines or Flow code on Android or KMP, or debugging cancellation and concurrency. - md-to-docx
github/awesome-copilot · score 64/100 (grade D)
Convert Markdown files to professionally formatted Word (.docx) documents with embedded PNG images — pure JavaScript, no external tools required - motion-advanced
affaan-m/ECC · score 64/100 (grade D)
Advanced motion patterns for React / Next.js — drag & drop, gestures, text animations, SVG path drawing, custom hooks, imperative sequences (useAnimate), loaders, and the full API decision tree. Requires motion-foundations. Use when building drag and drop, gestures, text or SVG animation, or imperative animation sequences in React or Next.js. - motion-advanced
affaan-m/everything-claude-code · score 64/100 (grade D)
Advanced motion patterns for React / Next.js — drag & drop, gestures, text animations, SVG path drawing, custom hooks, imperative sequences (useAnimate), loaders, and the full API decision tree. Requires motion-foundations. Use when building drag and drop, gestures, text or SVG animation, or imperative animation sequences in React or Next.js. - nextjs-turbopack
affaan-m/ECC · score 64/100 (grade D)
Next.js 16+ and Turbopack guidance — incremental Rust bundling, file-system caching, faster dev startup and HMR, Turbopack vs webpack tradeoffs, and the middleware.ts to proxy.ts filename change. Use when developing or debugging Next.js 16+ apps, diagnosing slow dev startup or hot reload, choosing between bundlers, or reviewing middleware/proxy file naming. - nextjs-turbopack
affaan-m/everything-claude-code · score 64/100 (grade D)
Next.js 16+ and Turbopack guidance — incremental Rust bundling, file-system caching, faster dev startup and HMR, Turbopack vs webpack tradeoffs, and the middleware.ts to proxy.ts filename change. Use when developing or debugging Next.js 16+ apps, diagnosing slow dev startup or hot reload, choosing between bundlers, or reviewing middleware/proxy file naming. - orch-add-feature
affaan-m/ECC · score 64/100 (grade D)
Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet. - orch-add-feature
affaan-m/everything-claude-code · score 64/100 (grade D)
Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet. - quarkus-patterns
affaan-m/ECC · score 64/100 (grade D)
Quarkus 3.x LTS architecture patterns with Camel for messaging, RESTful API design, CDI services, data access with Panache, and async processing. Use for Java Quarkus backend work with event-driven architectures. Use when building or reviewing a Quarkus service, especially with Camel messaging or Panache data access. - quarkus-patterns
affaan-m/everything-claude-code · score 64/100 (grade D)
Quarkus 3.x LTS architecture patterns with Camel for messaging, RESTful API design, CDI services, data access with Panache, and async processing. Use for Java Quarkus backend work with event-driven architectures. Use when building or reviewing a Quarkus service, especially with Camel messaging or Panache data access. - recsys-pipeline-architect
affaan-m/ECC · score 64/100 (grade D)
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks "the top K items for a (user, context)" — social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking. - recsys-pipeline-architect
affaan-m/everything-claude-code · score 64/100 (grade D)
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks "the top K items for a (user, context)" — social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking. - accessibility
affaan-m/ECC · score 63/100 (grade D)
Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels, accessibility traits and hints, focus management, contrast, target size, and screen-reader support. Use when building or auditing UI for accessibility compliance, keyboard navigation, or screen-reader support. - accessibility
affaan-m/everything-claude-code · score 63/100 (grade D)
Design, implement, and audit accessible UI to WCAG 2.2 Level AA across Web, iOS, and Android — semantic ARIA roles and labels, accessibility traits and hints, focus management, contrast, target size, and screen-reader support. Use when building or auditing UI for accessibility compliance, keyboard navigation, or screen-reader support. - agent-governance
github/awesome-copilot · score 63/100 (grade D)
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen) - batch-files
github/awesome-copilot · score 63/100 (grade D)
Expert-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to "create a batch file", "write a .bat script", "automate a Windows task", "CMD scripting", "batch automation", "scheduled task script", "Windows shell script", or when working with .bat/.cmd files in the workspace. Covers cmd.exe syntax, environment variables, control flow, string processing, error handling, and integration with system tools. - bio-comparative-genomics-whole-genome-alignment
GPTomics/bioSkills · score 63/100 (grade D)
Build whole-genome alignments using Progressive Cactus (Armstrong 2020 reference-free clade-level WGA), Minigraph-Cactus (Hickey 2024 pangenome-aware), LASTZ chain/net (UCSC pipeline), MUMmer4 (Marçais 2018 pairwise), minimap2 -x asm5/10/20 (Li 2018 fast pairwise), AnchorWave (Song 2022 WGD-aware), and Mauve / progressiveMauve (bacterial). Operates the HAL toolkit (Hickey 2013) for downstream extraction including halSynteny, halLiftover, halBranchMutations, and hal2maf. Use when constructing multi-species alignments for comparative-annotation projection (TOGA), synteny detection, conservation analyses (phyloP / PhastCons), or pangenome graph construction; selecting between reference-free (Cactus) and reference-anchored (LASTZ chains/nets) approaches; tuning sensitivity for closely vs distantly related genomes; or producing HAL files for genome-wide downstream tools. - bio-gene-regulatory-networks-coexpression-networks
GPTomics/bioSkills · score 63/100 (grade D)
Build weighted gene co-expression networks to identify modules of co-regulated genes, relate them to phenotypes, and find hub genes using WGCNA, hdWGCNA, MEGENA, CEMiTool, and Gaussian graphical models. Covers signed-network choice, soft-threshold selection, module preservation, and the marginal-vs-partial-correlation distinction. Use when finding co-expression modules, identifying hub genes, relating gene networks to clinical or experimental traits, or building single-cell co-expression networks. For directed TF-target inference see scenic-regulons and grn-inference; for condition rewiring see differential-networks. - bio-genome-intervals-bigwig-tracks
GPTomics/bioSkills · score 63/100 (grade D)
Reads, queries, and writes bigWig indexed binary signal tracks (coverage, fold-change, conservation, methylation-rate) with pyBigWig (Python) and the UCSC Kent tools (bedGraphToBigWig, bigWigToBedGraph, bigWigInfo, bigWigSummary, bigWigAverageOverBed) and deepTools (multiBigwigSummary, computeMatrix, bigwigCompare). Covers the central trap that a wide query returns a precomputed zoom-level summary (by default the mean, which annihilates narrow peaks) not per-base data, when exact=True/values() is mandatory, the NaN-not-zero gap-handling fork, choosing mean vs max vs sum vs coverage by biological question, and the sorted-bedGraph plus chrom.sizes build requirement. Use when extracting signal at regions, computing mean signal per gene/peak, building a browser track from bedGraph, comparing tracks, or building TSS/gene-body metaprofiles. - bio-genome-intervals-interval-arithmetic
GPTomics/bioSkills · score 63/100 (grade D)
Performs set operations on genomic intervals - intersect (-wa/-wb/-wo/-wao/-loj/-c/-v/-u), subtract (-A), merge (-d, -c/-o), complement, cluster, multiinter, unionbedg, map, and groupby - with bedtools (CLI) and pybedtools/pyranges/bioframe (Python). Covers the sorted-input contract and the -sorted chromosome-order footgun, reciprocal/fractional overlap (-f/-F/-r/-e) and the A-vs-B asymmetry, -split for spliced/BED12/BAM features, and jaccard/fisher as mechanics only. Use when finding overlapping or unique regions between BED/peak/feature files, building consensus peaksets, removing blacklisted regions, transferring annotation values onto intervals, or computing interval-set similarity; route overlap-significance testing to overlap-significance. - bio-population-genetics-scikit-allel-analysis
GPTomics/bioSkills · score 63/100 (grade D)
In-memory Python population genetics with scikit-allel - GenotypeArray/HaplotypeArray/AlleleCountsArray, diversity (pi, theta, Tajima's D), SFS, FST (Weir-Cockerham, Hudson, Patterson), f3/D admixture stats, LD pruning, PCA, and selection scans (iHS, XP-EHH, nSL, Garud H). Nearly every statistic is a ratio or density with one silent denominator bug in two faces: omit is_accessible= and per-base pi/theta divide by total span not accessible bp (deflated 2-5x); average per-SNP FST instead of sum(a)/(sum(a)+sum(b)+sum(c)) and the estimate is rare-variant-biased - scikit-allel returns the (a,b,c) and (num,den) components on purpose to force ratio-of-sums. to_n_alt default fill=0 imputes missing to reference; sfs() is unfolded and wants derived not alt counts; iHS/XP-EHH need phased data and standardization. Use when computing population-genetics statistics in Python, scanning for selection, or building array pipelines. For PLINK QC see plink-basics; for VCF input see variant-calling/vcf-basics. - bio-tcr-bcr-analysis-immcantation-analysis
GPTomics/bioSkills · score 63/100 (grade D)
Reconstructs B-cell clonal families, quantifies somatic hypermutation and selection, and builds antibody lineage trees with the Immcantation R suite (alakazam, shazam, scoper, dowser, tigger) on AIRR-format BCR data. Use when deriving the clonal-clustering threshold from the distToNearest bimodal valley (never a hardcoded 0.15); choosing hierarchicalClones vs spectralClones (vj vs novj) for SHM-diverged repertoires; personalizing the germline with TIGGER before mutation counting; reconstructing D-masked germlines with createGermlines; measuring R/S mutation frequency by CDR and FWR region; testing antigen-driven selection with BASELINe; comparing Hill-number diversity at equal sampling depth; and inferring IgPhyML lineage trees for affinity maturation, class-switch, and ancestral-antibody analysis. - bio-workflows-smrna-pipeline
GPTomics/bioSkills · score 63/100 (grade D)
Orchestrates the end-to-end small RNA-seq pipeline from FASTQ to differential miRNAs and expression-filtered targets, chaining kit-aware cutadapt trimming (adapter on every read, UMI/4N handling), miRge3 known+isomiR quantification or miRDeep2 novel discovery, compositionally-aware DESeq2, and miRanda target prediction. Use when committing the library-kit adapter/UMI handling once, choosing the NORMALIZER (which drives which miRNAs are called DE more than the DE model does), deciding known quantification vs novel discovery, handling biofluid/plasma libraries that lack a trustworthy endogenous normalizer, routing tRF/piRNA reads to their own profiling, or feeding RAW (not RPM) counts with size-factor inspection into DE. Hands mechanism to the small-rna-seq component skills; not a re-teach of any single step. - comment-code-generate-a-tutorial
github/awesome-copilot · score 63/100 (grade D)
Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial. - compose-multiplatform-patterns
affaan-m/ECC · score 63/100 (grade D)
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI. Use when building Compose or Jetpack Compose UI, state, navigation, or theming in a KMP project. - compose-multiplatform-patterns
affaan-m/everything-claude-code · score 63/100 (grade D)
Compose Multiplatform and Jetpack Compose patterns for KMP projects — state management, navigation, theming, performance, and platform-specific UI. Use when building Compose or Jetpack Compose UI, state, navigation, or theming in a KMP project. - embedded-iot-mentor
alirezarezvani/claude-skills · score 63/100 (grade D)
Mentor for embedded and IoT hardware projects. Helps select MCUs, dev boards, and toolchains, decides where sensor readings end up (phone, PC, dashboard, or alert), and gives time/cost estimates and a phased build plan from breadboard MVP to production PCB. Use when the user mentions embedded, IoT, microcontroller, ESP32, STM32, Arduino, Raspberry Pi Pico, firmware, PCB, KiCad, EasyEDA, PlatformIO, MQTT, Home Assistant, ESPHome, Grafana, an IoT dashboard, seeing sensor data on a phone, or asks for hardware tool recommendations, project planning, or cost/time estimates for an electronics project. - fable-review
davidondrej/skills · score 63/100 (grade D)
Launch an independent Fable code review and return it verbatim. Use only when the user explicitly invokes /fable-review. - fabric-lakehouse
github/awesome-copilot · score 63/100 (grade D)
Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices. - gke-ai-troubleshooting-tpu-metrics-monitoring
google/skills · score 63/100 (grade D)
Monitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging. - obsidian-project-kb-core
Galaxy-Dawn/claude-scholar · score 63/100 (grade D)
Use this as the main Claude Scholar skill for a vault-first, project-scoped Obsidian research knowledge base rooted at Research/{project-slug}/. It owns bootstrap, routing, daily logging, hub/plan/index maintenance, registry updates, lifecycle actions, and lint orchestration. - pr-address-feedback
github/awesome-copilot · score 63/100 (grade D)
Walk through PR review comments one-by-one, deciding for each whether to act on the feedback or reply with reasoning, and build an approvable resolution plan before changing anything. Use when the user wants to address, respond to, or triage PR review feedback. - prisma-patterns
affaan-m/ECC · score 63/100 (grade D)
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits. - prisma-patterns
affaan-m/everything-claude-code · score 63/100 (grade D)
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion. Use when writing a Prisma schema or query, or debugging transactions, migrations, or serverless connection limits. - validate-idea
slavingia/skills · score 63/100 (grade D)
Validate a business idea using the minimalist entrepreneur framework. Use when someone has a business idea and wants to test if it's worth pursuing before building anything. - animation-vocabulary
emilkowalski/skills · score 62/100 (grade D)
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one. - asc-build-lifecycle
rudrankriyam/app-store-connect-cli-skills · score 62/100 (grade D)
Track build processing, find latest builds, and clean up old builds with asc. Use when managing build retention or waiting on processing. - asc-id-resolver
rudrankriyam/app-store-connect-cli-skills · score 62/100 (grade D)
Resolve App Store Connect IDs (apps, builds, app and digital-goods versions, groups, testers) from human-friendly names using asc. Use when commands require IDs. - bio-comparative-genomics-comparative-annotation-projection
GPTomics/bioSkills · score 62/100 (grade D)
Project gene annotations across genomes using TOGA (Kirilenko 2023 whole-genome-alignment chain-based projection with intactness classification), CESAR 2.0 (Sharma, Schwede & Hiller 2017 codon-aware exon projection), LiftOff (Shumate & Salzberg 2021 reference-based annotation transfer), Liftover (UCSC), GeMoMa (Keilwagen 2019 evidence-based projection), and Comparative Annotation Toolkit (CAT). Use when transferring annotations from a well-annotated reference to query genome(s), classifying gene-loss vs gene-intact across many genomes at scale, building Zoonomia-style comparative annotations across hundreds of mammals or birds (Kirilenko 2023), detecting pseudogenization, projecting alternative isoforms, or selecting between WGA-anchored (TOGA) vs ortholog-based (LiftOff) annotation transfer strategies. - bio-comparative-genomics-gene-family-evolution
GPTomics/bioSkills · score 62/100 (grade D)
Model gene-family birth-death dynamics across a species tree using CAFE5 (Mendes et al 2020 Bioinformatics 36:5516 gamma-distributed rate categories), CAFE5-error (annotation-error-aware), Count (Csurös 2010 ancestral state reconstruction), BadiRate (Librado 2012 likelihood + parsimony), DupliPHY-Family, and ALE/AleRax (for per-family DTL; see [[gene-tree-species-tree-reconciliation]]). Test lineage-specific gene-family expansions and contractions, distinguish biological dynamics from annotation artifacts, account for assembly fragmentation, identify functional enrichment in expanded / contracted families. Use when correlating gene-family changes with phenotype evolution, ranking lineages by adaptive gene-family-rate shifts, post-WGD dosage-balance analysis, or building Birth-death models from OrthoFinder presence/absence matrices. - bio-comparative-genomics-ortholog-inference
GPTomics/bioSkills · score 62/100 (grade D)
Infer orthologous genes and gene families across species using OrthoFinder3 (HOG-based phylogenetic orthology), SonicParanoid2, Broccoli, ProteinOrtho, OMA / FastOMA hierarchical orthologous groups, eggNOG-mapper, JustOrthologs, and TOGA whole-genome-alignment orthology. Use when building single-copy ortholog sets for phylogenomics, classifying co-orthologs and in/out-paralogs after gene duplication, propagating functional annotation via orthology with awareness of the ortholog conjecture, distinguishing speciation from duplication via gene-tree species-tree reconciliation, computing Quest-for-Orthologs benchmark performance, or running synteny-aware ortholog detection in WGD-affected lineages. - bio-comparative-genomics-synteny-analysis
GPTomics/bioSkills · score 62/100 (grade D)
Detect syntenic blocks and structural rearrangements between genomes using MCScanX (Wang 2012), JCVI/MCScan (Tang 2008 Python), GENESPACE (Lovell 2022) for orthology-anchored riparian visualization, SyRI for structural variation, AnchorWave for sequence-level synteny, i-ADHoRe 3.0 for highly diverged species, SynNet for synteny networks, and ntSynt for multi-genome macrosynteny. Use when identifying collinear gene blocks across species, distinguishing macrosynteny from microsynteny, detecting inversions/translocations/duplications, anchoring orthology in WGD lineages, producing publication riparian plots, computing synteny block age via Ks (cross-references whole-genome-duplication), or running synteny-aware ortholog inference in polyploids. - bio-ecological-genomics-species-delimitation
GPTomics/bioSkills · score 62/100 (grade D)
Delimits putative species boundaries from molecular data within the de Queiroz 2007 unified-lineage framework using ASAP (Puillandre 2021 successor to ABGD), mPTP C++ (Kapli 2017 successor to bPTP; bPTP is Python NOT R), GMYC single/multi-threshold (Pons 2006; Fujisawa 2013), multilocus BPP v4 with prior calibration from data (NOT defaults; Yang 2015), SNAPP + BFD* for SNP delimitation, DELINEATE (Sukumaran 2021) speciation-process modeling to address Sukumaran & Knowles 2017 PNAS critique that MSC delimits structure not species, integrative-taxonomy congruence (Padial 2010; Carstens 2013), Dsuite for introgression testing before sister claims (Malinsky 2021), and Meyer & Paulay 2005 barcoding-gap-absence caveat. Use when delineating species from DNA barcoding data, resolving cryptic complexes, choosing among ASAP/mPTP/BPP/DELINEATE, calibrating BPP priors, distinguishing introgression from ILS, or applying the Sukumaran-Knowles oversplitting correction. - bio-epitranscriptomics-modification-visualization
GPTomics/bioSkills · score 62/100 (grade D)
Visualises RNA-modification data with transcript-feature metagene plots (Guitar GuitarPlot; MetaPlotR; deepTools computeMatrix scale-regions), peak-centred heatmaps (ComplexHeatmap; deepTools plotHeatmap), IP-vs-input paired browser tracks (log2 IP/input bigWig via deepTools bamCompare; pyGenomeTracks; Gviz; IGV/UCSC track hubs), DRACH sequence-logo plots (ggseqlogo; MEME), feature-distribution stacked bars, and volcano/MA plots for differential modification. Establishes stop-codon enrichment in the metagene plot as the biological QC anchor for any MeRIP dataset (Dominissini 2012; Meyer 2012). Use when producing the canonical metagene plot with stop-codon enrichment as a QC anchor, building paired IP/input genome-browser tracks at single-locus resolution, plotting peak-centred heatmaps clustered by condition, summarising peak distribution across transcript features, generating DRACH motif logos as sanity checks, rendering volcano plots of differential m6A, or reproducing the stop-codon enrichment plot. - buyer-list
anthropics/financial-services · score 62/100 (grade D)
Build and organize a universe of potential acquirers for sell-side M&A processes. Identifies strategic and financial buyers, assesses fit, and prioritizes outreach. Use when preparing for a sell-side mandate, building a buyer universe, or evaluating potential partners. Triggers on "buyer list", "buyer universe", "potential acquirers", "who would buy this", "strategic buyers", or "financial sponsors". - code-reviewer
alirezarezvani/claude-skills · score 62/100 (grade D)
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists. - cold-email
coreyhaines31/marketingskills · score 62/100 (grade D)
Write and run B2B cold outbound that gets replies, from cold emails and follow-ups to sending setup, LinkedIn, multichannel cadences, and reply handling. Use when the user mentions "cold email," "cold outreach," "outbound," "prospecting email," "SDR emails," "follow-up sequence," "nobody's replying," "email deliverability," "sending domains," "warm up inboxes," "LinkedIn outreach," "connection request message," "multichannel sequence," "cadence," "cold call," "voicemail," "handle replies," "AI SDR," "teardown outreach," or "product-led outbound." Send from secondary domains, verify lists first, turn off open tracking, and stop every channel when a prospect replies. Copy avoids AI tells like 'it's not X, it's Y' reveals. For building the list and account research, see prospecting. For lifecycle email, see emails. For call scripts and sales collateral, see sales-enablement. - cs-wiki-linter
alirezarezvani/claude-skills · score 62/100 (grade D)
Dispatched sub-agent that runs a periodic health check on an LLM Wiki vault. Runs mechanical checks via scripts (orphans, broken links, stale pages, missing frontmatter, duplicate titles, log gaps), does semantic checks (contradictions, stale claims, cross-reference gaps, concepts missing their own page), and produces a markdown report with suggested actions. Spawn weekly, after batch ingests, or when the user says "check the wiki" / "lint my wiki" / "audit the vault". - gccli
badlogic/pi-skills · score 62/100 (grade D)
Google Calendar CLI for listing calendars, viewing/creating/updating events, and checking availability. - gdcli
badlogic/pi-skills · score 62/100 (grade D)
Google Drive CLI for listing, searching, uploading, downloading, and sharing files and folders. - gmcli
badlogic/pi-skills · score 62/100 (grade D)
Gmail CLI for searching emails, reading threads, sending messages, managing drafts, and handling labels/attachments. - google-workspace
alirezarezvani/claude-skills · score 62/100 (grade D)
Google Workspace CLI operations: setup diagnostics, security audit, recipe discovery, and output analysis. Usage: /google-workspace <setup|audit|recipe|analyze> [options] - mcp-cli
github/awesome-copilot · score 62/100 (grade D)
Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line. - Mistral AI Automation
ComposioHQ/awesome-claude-skills · score 62/100 (grade D)
Automate Mistral AI operations -- manage files and libraries, upload documents for fine-tuning, batch processing, and OCR, track fine-tuning jobs, and build RAG pipelines via the Composio MCP integration. - offers
coreyhaines31/marketingskills · score 62/100 (grade D)
When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure. Also use when the user mentions 'offer,' 'offer design,' 'build an offer,' 'grand slam offer,' 'irresistible offer,' 'value stack,' 'bonus stack,' 'guarantee,' 'risk reversal,' 'money-back guarantee,' 'scarcity,' 'urgency,' 'high-ticket offer,' 'productize a service,' 'naming an offer,' 'payment plan,' 'down-sell,' 'upsell offer,' or 'why isn't my offer converting.' Best for services, agencies, courses, coaching, info products, high-ticket B2B, and direct-response. If you run pure self-serve SaaS, read pricing first — tiers and packaging do more work there. For price level itself (tiers, freemium, value metric), see pricing. For the page that presents the offer, see copywriting. For the launch moment, see launch. For sales collateral, see sales-enablement. - press-and-pr
Eronred/aso-skills · score 62/100 (grade D)
When the user wants to get press coverage, media mentions, or editorial features for their app — including writing press releases, pitching journalists, getting on "best apps" lists, or building an app press kit. Use when the user mentions "press", "PR", "media coverage", "TechCrunch", "journalist", "press release", "app press kit", "get featured in media", "editorial coverage", "review from a blogger", or "app launch announcement". For Apple editorial featuring, see app-store-featured. For launch strategy, see app-launch. - product-strategist
alirezarezvani/claude-skills · score 62/100 (grade D)
Strategic product leadership toolkit for Head of Product covering OKR cascade generation, quarterly planning, competitive landscape analysis, product vision documents, and team scaling proposals. Use when creating quarterly OKR documents, defining product goals or KPIs, building product roadmaps, running competitive analysis, drafting team structure or hiring plans, aligning product strategy across engineering and design, or generating cascaded goal hierarchies from company to team level. - roll-forward
anthropics/financial-services · score 62/100 (grade D)
Build a roll-forward schedule for a balance-sheet account — beginning balance plus activity less reversals equals ending balance, with each component tied to GL. Use for month-end close packages and audit support. - site-architecture
coreyhaines31/marketingskills · score 62/100 (grade D)
When the user wants to plan, map, or restructure their website's page hierarchy, navigation, URL structure, or internal linking. Also use when the user mentions "sitemap," "site map," "visual sitemap," "site structure," "page hierarchy," "information architecture," "IA," "navigation design," "URL structure," "breadcrumbs," "internal linking strategy," "website planning," "what pages do I need," "how should I organize my site," "site navigation," "which website builder should I use," "migrate my website," or "add a blog to my existing site." Use this whenever someone is planning what pages a website should have, how they connect, and where to build them. NOT for XML sitemaps (that's technical SEO — see seo-audit). For SEO audits, see seo-audit. For structured data, see schema. - slideshow
heygen-com/hyperframes · score 62/100 (grade D)
Build a HyperFrames slideshow to present live - slides, fragment reveals, branching hotspots and presenter mode with speaker notes, served by `hyperframes present` - or turn an existing page into one. Use when the person wants a deck or presentation rather than a rendered video. - Startup CTO
alirezarezvani/claude-skills · score 62/100 (grade D)
Technical co-founder who's been through two startups and learned what actually matters. Makes architecture decisions, selects tech stacks, builds engineering culture, and prepares for technical due diligence — all while shipping fast with a small team. Use when an early-stage team needs pragmatic, ship-first technical leadership — e.g., picking a boring-but-fast stack for an MVP with two engineers, or prepping architecture answers for investor due diligence. (For company-scale CTO strategy, see cs-cto-advisor.) - agentic-workflows
github/awesome-copilot · score 61/100 (grade D)
Route gh-aw workflow design/create/debug/upgrade requests to the right prompts. - asc-shots-pipeline
rudrankriyam/app-store-connect-cli-skills · score 61/100 (grade D)
Orchestrate iOS screenshot automation with xcodebuild/simctl for build-run, AXe for UI actions, JSON settings and plan files, Koubou-based framing (`asc screenshots frame`), and screenshot upload (`asc screenshots upload`). Use when users ask for automated screenshot capture, AXe-driven simulator flows, frame composition, or screenshot-to-upload pipelines. - bio-differential-expression-deseq2-basics
GPTomics/bioSkills · score 61/100 (grade D)
Performs differential expression on bulk RNA-seq count data with DESeq2's negative-binomial GLM, Wald and LRT testing, apeglm/ashr/normal LFC shrinkage, independent filtering, Cook's outlier handling, VST/rlog transforms, and design formulas including paired, batch, and interaction terms. Use when running bulk DE, choosing DESeq2 over edgeR or limma-voom, building a paired or interaction design, applying LFC shrinkage for ranking or GSEA, choosing Wald vs LRT, troubleshooting padj=NA, picking VST vs rlog, importing salmon/kallisto via tximport, or analyzing prokaryotic RNA-seq. - bio-expression-matrix-gene-id-mapping
GPTomics/bioSkills · score 61/100 (grade D)
Maps between gene identifier systems (Ensembl, Entrez, HGNC symbol, UniProt, RefSeq, MANE) using AnnotationDbi, biomaRt, mygene, pyensembl, and Ensembl REST. Encodes Ensembl version stripping with GENCODE _PAR_Y preservation, the Ziemann 2016 Excel autocorrect debacle and Bruford 2020 HGNC renames (SEPT*->SEPTIN*, MARCH*->MARCHF*, MARC*->MTARC*, DEC1->DELEC1), OCT4/POU5F1 alias resolution, biomaRt archive endpoints for release pinning, the `filters` (plural) gotcha, MANE Select for clinical reporting, cross-species orthology via Ensembl Compara / OMA / OrthoDB, and tx2gene construction for tximport. Use when converting gene IDs across systems, handling renamed symbols, building tx2gene, pinning to a specific Ensembl release for reproducibility, or mapping cross-species orthologs. - bio-genome-intervals-proximity-operations
GPTomics/bioSkills · score 61/100 (grade D)
Performs proximity operations on genomic intervals with bedtools (closest, window, flank, slop) and pybedtools - nearest-feature queries with signed/strand-aware distance, fixed-radius window searches, strand-aware promoter construction, and interval extension. Covers the closest -d/-D a/b/ref/-t/-k/-io/-iu/-id flags, the -D ref strand sign-flip, silent chromosome-end clipping in slop/flank, -t all tie double-counting, and the critical distinction between a geometry answer (nearest TSS) and a biology answer (which gene an element regulates). Use when assigning peaks or variants to genes, defining promoters from a gene model, building distance-to-TSS distributions, finding features within a window, or extending intervals - and when deciding whether nearest-gene is a fair prior (GWAS locus) or a trap (distal enhancer). - bio-microbiome-functional-prediction
GPTomics/bioSkills · score 61/100 (grade D)
Predicts community functional POTENTIAL from 16S/ITS amplicon ASVs with PICRUSt2 (or q2-picrust2) by phylogenetic interpolation of reference-genome gene content - EPA-ng placement, gappa, castor hidden-state prediction of KO/EC/Pfam copy number, 16S copy-number normalization, and MinPath MetaCyc/KEGG pathways - gated by the NSTI quality index. Covers why predicted function is taxonomy re-encoded (never measured gene content and never activity), the mandatory NSTI report (--max_nsti 2 silently drops novel ASVs), why accuracy IS reference coverage (gut Spearman ~0.8, soil/marine collapse), the circularity trap, and Tax4Fun2/FAPROTAX/BugBase alternatives. Use when inferring KO/EC/MetaCyc potential from an ASV table, gating on NSTI, or choosing a prediction method. For MEASURED shotgun function see metagenomics/functional-profiling; for enrichment of KO lists see pathway-analysis/go-enrichment; for DA of predicted tables see differential-abundance. - bio-pathway-enrichment-visualization
GPTomics/bioSkills · score 61/100 (grade D)
Turns an enrichResult or gseaResult from clusterProfiler/enrichplot into a figure that collapses or shows gene-set redundancy, using dotplot, barplot, cnetplot, emapplot, treeplot, ridgeplot, gseaplot2, and upsetplot. Covers why a default top-20 GO dotplot is one biological theme drawn twenty times (the DAG/nesting guarantees redundant overlapping terms), so the figure is a modeling choice between SHOWING redundancy (pairwise_termsim -> emapplot/treeplot) and DELETING it (simplify/REVIGO); why cnetplot/emapplot/treeplot need pairwise_termsim first; why enrichplot ships no barplot for gseaResult (a bar cannot carry a signed NES); why GeneRatio is not fold enrichment; and why showCategory silently truncates. Use when plotting ORA or GSEA results, collapsing redundant GO terms visually, encoding a dotplot, or building a publication enrichment figure. Statistics come from go-enrichment and gsea; generic ggplot -> data-visualization/ggplot2-fundamentals. - bio-structural-biology-geometric-analysis
GPTomics/bioSkills · score 61/100 (grade D)
Measures geometric properties of protein structures with Biopython Bio.PDB - interatomic distances, distance matrices, bond and dihedral angles (phi/psi/chi, Ramachandran), superposition and RMSD, center of mass, radius of gyration, and solvent accessible surface area (SASA). Use when deciding that RMSD depends on BOTH the superposition and the atom selection (a global all-atom RMSD is dominated by flexible loops and hinge motion and is NOT a cross-protein similarity metric); choosing the metric that matches the question (RMSD for same-molecule displacement, TM-score for same-fold, lDDT for superposition-free local model quality - the quantity pLDDT predicts); recognizing Superimposer needs an equal-length ordered atom-to-atom correspondence; and reporting SASA only alongside its probe radius (1.4A water, Shrake-Rupley) with a preference for relative SASA. Keywords RMSD, TM-score, lDDT, SASA, Shrake-Rupley, superposition, Kabsch, dihedral, Ramachandran, radius of gyration. - connections-optimizer
affaan-m/ECC · score 61/100 (grade D)
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships. - connections-optimizer
affaan-m/everything-claude-code · score 61/100 (grade D)
Reorganize the user's X and LinkedIn network with review-first pruning, add/follow recommendations, and channel-specific warm outreach drafted in the user's real voice. Use when the user wants to clean up following lists, grow toward current priorities, or rebalance a social graph around higher-signal relationships. - earnings-preview
anthropics/financial-services · score 61/100 (grade D)
Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]". - fluid-design
kemiljk/fluid-design · score 61/100 (grade D)
Use this skill whenever building interfaces that should feel physically responsive, alive, and polished. Trigger for spring animations, gesture-driven UI, interruptible animations, physics-based motion, drag interactions, momentum scrolling, layout animations, shared element transitions, spatial UI, micro-interactions, haptic feel, or any request to make an interface feel alive, snappy, smooth, natural, polished, or less static. Also trigger when building interactive components (drawers, sheets, carousels, modals, accordions, reorderable lists) without specified animation, or any interactive prototype, component library, or design system. - from-the-other-side-vega
github/awesome-copilot · score 61/100 (grade D)
Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up. - google-cloud-global-frontend-configuration
google/skills · score 61/100 (grade D)
Guides agents through a 6-step discovery process to design and deploy Google Cloud global external Application Load Balancers with Cloud CDN, Cloud Armor, and Service Extensions, mapping workload requirements to best-practice configurations. Use when: - Designing, configuring, or deploying a Google Cloud global external Application Load Balancer, Cloud CDN, Cloud Armor WAF, or Service Extensions. - Discovering existing Google Cloud resources (Cloud Storage, MIGs, GKE, Cloud Run) to use as backends. - Generating production-grade Terraform HCL or gcloud CLI scripts for global external Application Load Balancers. - Actuating deployments via Infrastructure Manager or bash scripts, including IAM pre-checks. - Detecting, analyzing, or reconciling configuration drift on deployed global external Application Load Balancers. Don't use for: - Non-Google Cloud load balancing or security configurations. - Purely regional or internal load balancing setups (unless part of a hybrid/failover global design). - homelab-vlan-segmentation
affaan-m/ECC · score 61/100 (grade D)
Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping. Use when splitting a home network into IoT, guest, trusted, and server VLANs on UniFi, pfSense/OPNsense, or MikroTik. - homelab-vlan-segmentation
affaan-m/everything-claude-code · score 61/100 (grade D)
Segmenting home networks into VLANs for IoT, guest, trusted, and server traffic using UniFi, pfSense/OPNsense, and MikroTik — including switch trunk config, firewall rules, and wireless SSID mapping. Use when splitting a home network into IoT, guest, trusted, and server VLANs on UniFi, pfSense/OPNsense, or MikroTik. - hyperframes-registry
heygen-com/hyperframes · score 61/100 (grade D)
About 450 ready-made HyperFrames blocks and components installed as editable source - transitions, overlays, titles, kinetic type, captions, charts, map overlays, 3D, camera moves. Use it before hand-building any named visual (CRT scanlines, glitch, film grain, a chart); also for hyperframes add and catalog. - java-refactoring-remove-parameter
github/awesome-copilot · score 61/100 (grade D)
Refactoring using Remove Parameter in Java Language - mobile-native
emilkowalski/skills · score 61/100 (grade D)
Make a web app feel native on a phone — the small CSS and meta-tag fixes that separate "a website in a browser" from something that feels installed. Covers sticky hover states, tap highlight flashes, the 100vh bug, inputs that zoom the page, laggy taps, pull-to-refresh hijacking scroll, content under the notch, long-press selecting button text, carousels that scroll the wrong way, mismatched status bars, and the rule that you test on real hardware. Use when a web app is being built for or reviewed on mobile, when something "works in Chrome but feels wrong on my phone", when building a PWA, a bottom sheet, a carousel, a full-screen layout, or any touch interaction. For motion itself use animate; for React Native use animate-expo. - obsidian-kb-artifacts
Galaxy-Dawn/claude-scholar · score 61/100 (grade D)
Use this skill for Obsidian-native formatting and derived artifacts such as Markdown formatting, wikilinks, registry tables, canvas files, optional Bases, CLI operations, and link repair. This skill does not decide knowledge routing. - safe-refactor
JuliusBrussee/caveman · score 61/100 (grade D)
Restructure code while preserving behavior. Use for extraction, consolidation, ownership moves, or cleanup where verification must bracket structural edits. - seam-craft
heygen-com/hyperframes · score 61/100 (grade D)
Render-correctness doctrine for scene-to-scene seams in HyperFrames launch videos — the prerequisites that make transitions composite correctly on the master timeline. Load when assembling the master timeline / index.html, when a white flash appears at a cut or crossfade seam (especially on dark films), when reasoning about why a transition opacity dip shows through, or when verifying the render-side mechanics of how overlapping scene wrappers blend. Covers the opaque stage-ground (#root background) white-flash guard and how the injector overlaps wrappers, holds final frames, ping-pongs tracks, and stamps lint-clean template code onto the master timeline. Does NOT contain the per-transition catalog — see the transition registry for individual transition entries. - terminal-opener
affaan-m/ECC · score 61/100 (grade D)
Open an executable and its argument array in a visible terminal window through a reusable, shell-free launch plan with dry-run, JSON, capability detection, detached fallback, and standalone recovery modes. Use when Codex needs to open an interactive CLI, SSH session, local development process, sandbox, or other argv-based command in a new host terminal; diagnose whether a supported terminal is available; or provide an actionable plan when the requested terminal is unsupported. - terminal-opener
affaan-m/everything-claude-code · score 61/100 (grade D)
Open an executable and its argument array in a visible terminal window through a reusable, shell-free launch plan with dry-run, JSON, capability detection, detached fallback, and standalone recovery modes. Use when Codex needs to open an interactive CLI, SSH session, local development process, sandbox, or other argv-based command in a new host terminal; diagnose whether a supported terminal is available; or provide an actionable plan when the requested terminal is unsupported. - video-content-strategist
alirezarezvani/claude-skills · score 61/100 (grade D)
Use when planning video content strategy, writing video scripts, optimizing YouTube channels, building short-form video pipelines (Reels, TikTok, Shorts), or repurposing long-form content into video. Triggers: 'start a YouTube channel', 'video content strategy', 'write a video script', 'repurpose into video', 'YouTube SEO', 'short-form video'. NOT for written blog content (use content-production). NOT for social captions without video (use social-media-manager). - wiki-lint
alirezarezvani/claude-skills · score 61/100 (grade D)
Run a health check on the LLM Wiki vault — mechanical checks (orphans, broken links, stale pages, missing frontmatter, log gap, duplicates) plus semantic checks (contradictions, cross-reference gaps, concepts missing their own page). Outputs a markdown report with suggested actions. Usage /wiki-lint [--stale-days N] [--log-gap-days N] - bio-comparative-genomics-pangenome-analysis
GPTomics/bioSkills · score 60/100 (grade D)
Build and analyze pangenomes for prokaryotes (Panaroo, PPanGGOLiN, PEPPAN, GET_HOMOLOGUES, anvi'o pangenomics) and eukaryotes (Minigraph-Cactus, PGGB, vg pangenome graphs). Implement Tettelin core/accessory/cloud genome decomposition (Tettelin 2005), Heap's law open/closed pangenome modeling, gene presence/absence GWAS (Scoary, pyseer), pangenome graph variant calling (vg, PanGenie), and structural-variation graph indexing. Use when assembling species- or genus-level pan-gene catalogs, separating core from accessory/shell/cloud genes, testing gene-content associations with phenotypes, building pangenome graphs from haplotype-resolved assemblies, calling SVs from pangenome graphs, or selecting between bacterial-pangenome and eukaryotic-pangenome workflows. - bio-differential-expression-de-visualization
GPTomics/bioSkills · score 60/100 (grade D)
Creates DE-specific diagnostic and result visualizations using DESeq2/edgeR built-in functions and lightweight ggplot2 wrappers. Covers MA plot (with the shrunken-LFC compression effect), volcano (with the apeglm caveat that p-values are unchanged), PCA on VST/rlog (never raw counts), sample distance heatmaps, top-DE-gene heatmaps with the row-scaling trap, dispersion / BCV plot interpretation, p-value histogram diagnostics, plotCounts for individual genes, blind=TRUE vs FALSE rationale, and the n=3 visualization stake. Use when generating DE diagnostic plots, choosing VST vs rlog for visualization, troubleshooting suspicious plot patterns (shifted MA cloud, batch-dominated PCA, anti-conservative p-value histogram), or building a standard QC figure panel. - bio-phylo-tree-io
GPTomics/bioSkills · score 60/100 (grade D)
Read, write, and convert phylogenetic tree files with Biopython Bio.Phylo, and choose an annotation-preserving parser (treeio, DendroPy) when metadata matters. Covers why a tree file is a lossy serialization, why format conversion silently drops BEAST/MrBayes node annotations (posteriors, HPD intervals, rates), the Newick support-vs-label ambiguity that mislabels bootstrap values, and the Nexus TRANSLATE and rooted/unrooted traps. Use when parsing Newick, Nexus, NHX, phyloXML, or NeXML, converting between formats, handling posterior tree sets, or moving annotated BEAST trees without losing the credible intervals. Routes annotation-critical reads to DendroPy or treeio and orthology/alignment context to sibling skills. - caveman-review
JuliusBrussee/caveman · score 60/100 (grade D)
Compressed code review - one line per finding with location, problem and fix. Use for /caveman-review, "review this PR", or "review the diff". - content-creator
alirezarezvani/claude-skills · score 60/100 (grade D)
Deprecated redirect skill that routes legacy 'content creator' requests to the correct specialist. Use when a user invokes 'content creator', asks to write a blog post, article, guide, or brand voice analysis (routes to content-production), or asks to plan content, build a topic cluster, or create a content calendar (routes to content-strategy). Does not handle requests directly — identifies user intent and redirects to content-production for writing/SEO/brand-voice tasks or content-strategy for planning tasks. - Growth Marketer
alirezarezvani/claude-skills · score 60/100 (grade D)
Growth marketing specialist for bootstrapped startups and indie hackers. Builds content engines, optimizes funnels, runs launch sequences, and finds scalable acquisition channels — all on a budget that makes enterprise marketers cry. Use when growth has to come before budget — e.g., planning a Product Hunt launch sequence, or choosing which organic channel (SEO, content, community) to invest in first at zero ad spend. (For funnel diagnostics with paid budget, see cs-demand-gen-specialist.) - lean-build
JuliusBrussee/caveman · score 60/100 (grade D)
Build feature work with high overbuilding risk. Use for new behavior, product slices, or integrations where repository reuse, strict scope, and an explicit stop condition matter. - loop-me
mattpocock/skills · score 60/100 (grade D)
Grill me about specs for the workflows I want to build, within this workspace. - nodejs-keccak256
affaan-m/ECC · score 60/100 (grade D)
Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation. Use when hashing for Ethereum in JavaScript or TypeScript, or when a selector, signature, storage slot, or derived address is wrong. - nodejs-keccak256
affaan-m/everything-claude-code · score 60/100 (grade D)
Prevent Ethereum hashing bugs in JavaScript and TypeScript. Node's sha3-256 is NIST SHA3, not Ethereum Keccak-256, and silently breaks selectors, signatures, storage slots, and address derivation. Use when hashing for Ethereum in JavaScript or TypeScript, or when a selector, signature, storage slot, or derived address is wrong. - postgresql-code-review
github/awesome-copilot · score 60/100 (grade D)
PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS). - sector-overview
anthropics/financial-services · score 60/100 (grade D)
Create comprehensive industry and sector landscape reports covering market dynamics, competitive positioning, key players, and thematic trends. Use for client requests, sector initiations, thematic research pieces, or internal knowledge building. Triggers on "sector overview", "industry report", "market landscape", "sector analysis", "industry deep dive", or "thematic research". - threejs-geometry
cloudai-x/threejs-skills · score 60/100 (grade D)
Creating and shaping three.js geometry: built-in shapes, 3D text, vertex buffers and attributes, merging, instancing, batching, point clouds and lines, on WebGL or with WebGPU and TSL. Use when building 3D shapes or text, custom vertex data, custom meshes, instanced meshes, or point clouds. - threejs-react-three-fiber
cloudai-x/threejs-skills · score 60/100 (grade D)
Building three.js scenes from React with React Three Fiber and drei: renderer setup, the scene graph as JSX, frame-loop, state and loading hooks, pointer events, and adaptive performance, on WebGL or with WebGPU and TSL. Use when writing React components that render three.js. - wiki-log
alirezarezvani/claude-skills · score 60/100 (grade D)
Show recent entries from the LLM Wiki log (wiki/log.md). Uses the standardized ## [YYYY-MM-DD] header format so grep + tail works. Usage /wiki-log [--last N] [--op ingest|query|lint|...] - accrual-schedule
anthropics/financial-services · score 59/100 (grade D)
Build the period-end accrual schedule — for each accrual, compute the entry, cite the support, and draft the JE. Use during month-end close; the JE is a draft for controller approval, not a posting. - Apollo Automation
ComposioHQ/awesome-claude-skills · score 59/100 (grade D)
Automate Apollo.io lead generation -- search organizations, discover contacts, enrich prospect data, manage contact stages, and build targeted outreach lists -- using natural language through the Composio MCP integration. - bio-biomart-queries
GPTomics/bioSkills · score 59/100 (grade D)
Bulk-query Ensembl BioMart (and other BioMart instances) for cross-database ID mapping, gene/transcript/exon coordinates, and ortholog tables. Use when batch-converting Ensembl IDs to other namespaces (HGNC, RefSeq, UniProt, Entrez), pulling gene coordinate tables for thousands of genes, building ortholog wide-tables across species, or replacing slow Ensembl REST loops with one-shot bulk export. Encodes BioMart's XML query format, R biomaRt vs Python pybiomart trade-off, mart-vs-dataset hierarchy, and the URL endpoint that's BioMart-specific (separate from rest.ensembl.org). - bio-epidemiological-genomics-amr-surveillance
GPTomics/bioSkills · score 59/100 (grade D)
Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI, abritAMR, staramr, and species-specific callers (TB-Profiler, Mykrobe). Harmonises cross-tool output via hAMRonization, contextualises determinants with mobile-genetic-element annotation (MOB-suite, PlasmidFinder, MobileElementFinder, ICEberg), predicts phenotype against EUCAST or CLSI breakpoints, and translates calls into WHO GLASS reporting categories. Use when screening clinical or surveillance isolates for AMR, distinguishing acquired vs intrinsic vs point-mutation resistance, calling rpoB / katG / pncA / gyrA / mgrB mutations, reconciling AMRFinderPlus vs RGI vs ResFinder disagreement, contextualising carbapenemases or mcr alleles on plasmids, predicting susceptibility from genotype against the WHO Mtb 2nd-edition catalogue, or building a hAMRonized multi-lab AMR surveillance pipeline. - bio-epidemiological-genomics-variant-surveillance
GPTomics/bioSkills · score 59/100 (grade D)
Assigns pathogen lineages (SARS-CoV-2 Pangolin UShER mode; Nextclade clade + QC; pango-designation alias resolution) and tracks variant frequencies over time using Nextstrain (Augur + Auspice), wastewater deconvolution (Freyja, COJAC, alcov, lineagespot), lineage-fitness modelling (multinomial logistic), and recombinant detection (3SEQ, RDP4, Bolotie). Covers Pangolin pangolin-data and Nextclade dataset version pinning (mandatory; lineage-defining mutations change with dataset), Freyja barcode forward-only date constraint, ARTIC primer scheme churn (V3/V4/V4.1/V5.3.2/Midnight) with dropout regions, and recombinant X-prefix designation lag. Use when assigning Pango lineages and Nextclade clades to viral consensus sequences, building Nextstrain Augur surveillance pipelines, deconvolving wastewater into lineage frequencies with Freyja, tracking lineage frequencies over time, handling ARTIC primer dropouts, or running surveillance for SARS-CoV-2/influenza/Mpox/RSV/H5N1/measles. - bio-genome-annotation-annotation-transfer
GPTomics/bioSkills · score 59/100 (grade D)
Transfers gene annotations between genome assemblies via coordinate liftover (UCSC liftOver, CrossMap for same-species version updates) or feature/sequence projection (Liftoff for same/close species, miniprot for protein-level cross-species, TOGA/GeMoMa/CAT for distant clades). Covers the coordinate-vs-projection decision by divergence, why a successful lift is not biological confirmation, reference bias, the silent-dropping of unmapped features, build/PAR/MHC/inversion hazards, and transfer-vs-de-novo validation. Use when annotating a new assembly of a species with an existing reference, harmonizing coordinates across builds, or mapping annotations across related species. - bio-population-genetics-population-structure
GPTomics/bioSkills · score 59/100 (grade D)
Infers and describes population structure with PCA (plink2 --pca, smartpca/EIGENSOFT, FlashPCA2), model-based clustering (ADMIXTURE, fastSTRUCTURE), FST estimators (Weir-Cockerham vs Hudson), and f-statistics (f3/f4/D via AdmixTools/admixr), plus Python plotting of PCs and Q barplots. Every output is a model-conditioned description of variance, not truth: PCs conflate ancestry with LD/inversions/relatedness/batch, ADMIXTURE Q-values are panel- and K-dependent artifacts, and CV-minimum K is a guide not the true population count. FST must combine SNPs as a ratio of averages (sum numerators / sum denominators), never an average of per-SNP FST; negative per-SNP FST is normal and must not be clamped. f3/f4/D need a block jackknife or the significance is fake. Use when running PCA, ADMIXTURE, FST, or f-statistics on QC'd genotypes. For QC and KING relatedness see plink-basics; for LD pruning see linkage-disequilibrium; for array-based Python pipelines see scikit-allel-analysis. - bio-structural-biology-structure-validation
GPTomics/bioSkills · score 59/100 (grade D)
Judges whether a macromolecular model (or a region of it) is reliable enough to build on, using resolution, R-free, B-factors, MolProbity geometry, and predicted-model confidence with Bio.PDB. Use when deciding if a structure or a specific region is trustworthy before docking/mechanism/measurement; reading resolution, R-work vs R-free and the R-free-minus-R-work overfitting gap; sanity-checking per-residue and mean B-factors; flagging clashscore, Ramachandran and rotamer outliers and cis non-proline peptides; validating a PREDICTED (AlphaFold/ESMFold) model via pLDDT bands and PAE before docking or molecular replacement; and interpreting cryo-EM global-vs-local resolution (FSC 0.143 half-map vs 0.5 map-model) or an NMR ensemble spread. Keywords validation, resolution, R-free, B-factor, MolProbity, clashscore, Ramachandran, rotamer, pLDDT, PAE, wwPDB, cryo-EM local resolution. - cim-builder
anthropics/financial-services · score 59/100 (grade D)
Structure and draft a Confidential Information Memorandum for sell-side M&A processes. Organizes company information into a professional, investor-ready document with consistent formatting and narrative flow. Use when preparing sell-side materials, drafting a CIM, or organizing company data for a sale process. Triggers on "CIM", "confidential information memorandum", "offering memorandum", "info memo", "draft CIM", or "sell-side materials". - equity-research
anthropics/financial-services · score 59/100 (grade D)
Generate comprehensive equity research snapshots combining analyst consensus estimates, company fundamentals, historical prices, and macroeconomic context. Use when researching stocks, comparing estimates to actuals, analyzing company financials, assessing equity valuations, or building investment cases. - github
Dimillian/Skills · score 59/100 (grade D)
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries. Use when the user asks about GitHub issues, pull requests, workflows, or wants to interact with GitHub repositories from the command line — including tasks like check CI status, create PR, list issues, or query the GitHub API. - java-refactoring-extract-method
github/awesome-copilot · score 59/100 (grade D)
Refactoring using Extract Methods in Java Language - liquid-glass-design
affaan-m/ECC · score 59/100 (grade D)
iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit. Use when building iOS 26 Liquid Glass UI in SwiftUI, UIKit, or WidgetKit. - liquid-glass-design
affaan-m/everything-claude-code · score 59/100 (grade D)
iOS 26 Liquid Glass design system — dynamic glass material with blur, reflection, and interactive morphing for SwiftUI, UIKit, and WidgetKit. Use when building iOS 26 Liquid Glass UI in SwiftUI, UIKit, or WidgetKit. - orch-build-mvp
affaan-m/ECC · score 59/100 (grade D)
Orchestrate bootstrapping a working MVP from a design or spec document — ingest the SDD/PRD, plan thin vertical slices, scaffold the first end-to-end slice, then drive a generator-evaluator build loop with review and gated feat commits. Use when a design or spec document must become a running MVP through planned vertical slices. - orch-build-mvp
affaan-m/everything-claude-code · score 59/100 (grade D)
Orchestrate bootstrapping a working MVP from a design or spec document — ingest the SDD/PRD, plan thin vertical slices, scaffold the first end-to-end slice, then drive a generator-evaluator build loop with review and gated feat commits. Use when a design or spec document must become a running MVP through planned vertical slices. - returns-analysis
anthropics/financial-services · score 59/100 (grade D)
Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal, stress-testing assumptions, or preparing IC returns exhibits. Triggers on "returns analysis", "IRR sensitivity", "MOIC table", "what's the return at", "model the returns", or "back of the envelope". - unit-economics
anthropics/financial-services · score 59/100 (grade D)
Analyze unit economics for PE targets — ARR cohorts, LTV/CAC, net retention, payback periods, revenue quality, and margin waterfall. Essential for software/SaaS, recurring revenue, and subscription businesses. Use when evaluating revenue quality, building a cohort analysis, or assessing customer economics. Triggers on "unit economics", "cohort analysis", "ARR analysis", "LTV CAC", "net retention", "revenue quality", or "customer economics". - 4x4
davidondrej/skills · score 58/100 (grade D)
Pull 16 fast decisions out of the user with 4 sets of 4 open questions, then present an implementation plan. Only for risky changes, large product decisions, or large refactors. Run when the user types /4x4. Agents may suggest it in one line but never start it on their own. - bio-differential-expression-edger-basics
GPTomics/bioSkills · score 58/100 (grade D)
Performs differential expression on bulk RNA-seq count data with edgeR's negative-binomial GLM and quasi-likelihood F-test framework. Covers DGEList construction, filterByExpr, TMM/TMMwsp normalization, robust dispersion estimation, glmQLFit/glmQLFTest, TREAT for magnitude-bounded hypotheses, contrasts via no-intercept designs, voom and voomWithQualityWeights for heterogeneous samples, and the edgeR v4 bias-corrected APL changes. Use when running bulk DE with edgeR, choosing edgeR over DESeq2 (small n, transcript DE via catchSalmon, large samples), needing TREAT for a fold-change-threshold hypothesis, troubleshooting v3-to-v4 reproducibility, building paired or interaction designs, or handling library-quality heterogeneity. - bio-epidemiological-genomics-phylodynamics
GPTomics/bioSkills · score 58/100 (grade D)
Estimates time-scaled phylogenies, molecular-clock rates, effective reproduction number R_e, and population dynamics from dated pathogen genomes using TreeTime (maximum-likelihood) and BEAST2 (Bayesian; strict/relaxed clocks; coalescent, Bayesian-Skyline, Skygrid, Birth-Death-Skyline, and sampled-ancestor priors; structured coalescent via MASCOT). Covers root-to-tip clock QC via TempEst, date-randomisation tests, recombination masking via Gubbins/ClonalFrameML before clock inference for recombining bacteria, BDSKY origin-vs-rootHeight pitfalls, sampling-bias correction, multi-chain convergence diagnostics, and reconciling phylodynamic R_e with case-based R_t. Use when dating outbreak origins, estimating substitution rates, inferring R_e through time, building time-calibrated Nextstrain Augur trees, choosing between strict and relaxed clocks, fitting Birth-Death-Skyline models, diagnosing temporal-signal failure, running MASCOT for structured-population analyses, or using UShER for pandemic-scale placement. - changelog
alirezarezvani/claude-skills · score 58/100 (grade D)
Generate changelogs from git history and validate conventional commits. Usage: /changelog <generate|lint> [options] - company-valuation
himself65/finance-skills · score 58/100 (grade D)
Estimate a public company's intrinsic value with DCF, relative (peer multiple), and sum-of-the-parts (SOTP) methods, then blend them into an implied share price with upside/downside vs the market price, a WACC and terminal-growth sensitivity grid, and bull/base/bear scenarios. Use this skill whenever the user asks what a company or ticker is worth: fair value, intrinsic value, implied share price, a price target from fundamentals, whether it is overvalued or undervalued, building a DCF (WACC, terminal value, discounted cash flow), EV/EBITDA or P/E based targets, peer comparison valuation, or SOTP and conglomerate discounts. Run the model rather than answering valuation questions from memory. - dataverse-python-advanced-patterns
github/awesome-copilot · score 58/100 (grade D)
Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques. - link-building
coreyhaines31/marketingskills · score 58/100 (grade D)
When the user wants to earn backlinks or third-party mentions that lift rankings and AI citations. Also use when the user mentions 'link building,' 'linkbuilding,' 'backlinks,' 'get more backlinks,' 'link prospecting,' 'link gap,' 'competitor backlinks,' 'unlinked mentions,' 'link reclamation,' 'broken link building,' 'resource pages,' 'guest posting,' 'get into best-of lists,' 'listicle outreach,' 'domain rating,' 'referring domains,' 'anchor text,' or 'is this link vendor safe.' Use this whenever rankings stall on authority or someone wants off-site mentions that AI engines cite. Never recommend buying links that pass ranking credit: paid or exchanged placements get rel=sponsored or nofollow. For press coverage and journalist requests, see public-relations. For directories, see directory-submissions. For reviews, see referrals. For Reddit and communities, see community-marketing. For on-site AI citation work, see ai-seo. - merger-model
anthropics/financial-services · score 58/100 (grade D)
Build accretion/dilution analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation. Use when evaluating a potential acquisition, preparing merger consequences analysis for a pitch, or advising on deal terms. Triggers on "merger model", "accretion dilution", "M&A model", "pro forma EPS", "merger consequences", or "deal impact analysis". - remotion-video-creation
affaan-m/ECC · score 58/100 (grade D)
Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more. Use when building video in React with Remotion — animations, audio, captions, charts, or transitions. - remotion-video-creation
affaan-m/everything-claude-code · score 58/100 (grade D)
Best practices for Remotion - Video creation in React. 29 domain-specific rules covering 3D, animations, audio, captions, charts, transitions, and more. Use when building video in React with Remotion — animations, audio, captions, charts, or transitions. - review-and-refactor
github/awesome-copilot · score 58/100 (grade D)
Review and refactor code in your project according to defined instructions - value-creation-plan
anthropics/financial-services · score 58/100 (grade D)
Structure post-acquisition value creation plans with revenue, cost, and operational levers mapped to an EBITDA bridge. Includes 100-day priorities, KPI targets, and accountability frameworks. Use when planning post-close execution, preparing operating partner materials, or building a board-ready value creation roadmap. Triggers on "value creation plan", "100-day plan", "post-close plan", "EBITDA bridge", "operating plan", or "value creation levers". - bio-imaging-mass-cytometry-interactive-annotation
GPTomics/bioSkills · score 57/100 (grade D)
Interactive cell annotation and image QC for IMC/MIBI using napari, napari-imc, Mantis Viewer, and cytomapper, covering the pixels-to-cell-table bridge, overlaying masks to catch segmentation/spillover artifacts, inter-annotator variability as the accuracy ceiling, contrast-as-threshold, and building class-balanced ground-truth label sets. Use when manually labeling cells, generating training data for a classifier, QC-ing segmentation on the image, confirming clusters are spatially real, or choosing an annotation viewer. - bio-spatial-transcriptomics-image-analysis
GPTomics/bioSkills · score 57/100 (grade D)
Segments cells/nuclei and extracts image features from imaging spatial transcriptomics (Xenium, MERFISH/MERSCOPE, CosMx) and H&E/IF tissue images using Cellpose, StarDist, Baysor, and Squidpy. Use when choosing a segmentation strategy (DAPI nucleus + expansion vs membrane-stain whole-cell vs transcript-aware Baysor/proseg vs segmentation-free SSAM) given the available stain; judging whether transcript spillover is fabricating false co-expression and short-range cell-cell signal; and deciding whether the derived cell-by-gene matrix is trustworthy before downstream typing, DE, or ligand-receptor analysis. - bio-structural-biology-structure-navigation
GPTomics/bioSkills · score 57/100 (grade D)
Navigate the Bio.PDB SMCRA hierarchy (Structure-Model-Chain-Residue-Atom) safely, surfacing the heterogeneity it hides by default. Use when deciding how to handle altloc/DisorderedAtom conformers before a distance or RMSD, indexing residues insertion-code-safe with the full (hetflag, resseq, icode) tuple, choosing the ATOM/observed vs SEQRES/canonical vs UniProt sequence, selecting the right Model for an NMR ensemble, filtering waters/hetero/metals correctly, and reconciling auth vs label numbering. Keywords SMCRA, altloc, DisorderedAtom, insertion code, SEQRES, PPBuilder, auth_seq_id. - competitive-matrix
alirezarezvani/claude-skills · score 57/100 (grade D)
Build competitive analysis matrices with scoring and gap analysis. Usage: /competitive-matrix <analyze> [options] - defuddle
kepano/obsidian-skills · score 57/100 (grade D)
Extract clean Markdown from HTML pages with Defuddle CLI. - llm-cost-optimizer
alirezarezvani/claude-skills · score 57/100 (grade D)
Use proactively whenever LLM API costs come up -- or should. Triggers include: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching', 'we're about to launch an AI feature', 'build me an AI endpoint'. Don't wait for an explicit cost complaint -- if someone is building an AI feature, designing an LLM endpoint, or choosing between models, cost architecture belongs in the conversation. Apply immediately when any of these are true: a system prompt appears that exceeds a few hundred tokens, all requests are hitting the same model, max_tokens is not set, or no per-feature cost logging exists. NOT for RAG pipeline design (use rag-architect). NOT for improving prompt quality or effectiveness (use senior-prompt-engineer). - mvp
slavingia/skills · score 57/100 (grade D)
Guide building a minimum viable product the minimalist entrepreneur way — manual first, then processized, then productized. Use when someone is ready to build their first product or struggling with scope. - catalyst-calendar
anthropics/financial-services · score 56/100 (grade D)
Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize attention and position ahead of events. Triggers on "catalyst calendar", "upcoming events", "what's coming up", "earnings calendar", "event calendar", or "catalyst tracker". - bio-structural-biology-structure-modification
GPTomics/bioSkills · score 55/100 (grade D)
Modifies protein structures in place with Biopython Bio.PDB - transforms coordinates, strips waters/heteroatoms, overloads the B-factor column, renumbers, and builds entities. Use when applying a rotation matrix and needing to know whether it is row-convention (Entity.transform, Superimposer) or column-convention (REMARK 350 / _pdbx_struct_oper_list assembly operators) so geometry is not silently mirrored; when overloading B-factors with pLDDT/conservation for coloring and needing to preserve the destroyed originals; when stripping solvent by HETFLAG (r.id[0]) rather than residue name so catalytic metals and cofactors survive; and when building or copying entities through StructureBuilder/Select without breaking SMCRA parent-child links or the (hetflag, resseq, icode) id tuple. Keywords transform, rotation matrix, occupancy, assembly operators. - find-community
slavingia/skills · score 55/100 (grade D)
Help identify and evaluate communities to build a minimalist business around. Use when someone is looking for a business idea, trying to find their community, or wondering where to start as an entrepreneur. - Content Strategist
alirezarezvani/claude-skills · score 54/100 (grade D)
Builds content engines that rank, convert, and compound. Thinks in systems — topic clusters, not individual posts. Every piece earns its place or gets killed. Use when content needs to behave like a system rather than a stream of posts — e.g., designing a topic-cluster plan to grow organic traffic from zero, or auditing an editorial calendar and killing pieces that don't convert after 90 days. (For single-asset, on-brand copy production, see cs-content-creator.) - Solo Founder
alirezarezvani/claude-skills · score 54/100 (grade D)
Your co-founder who doesn't exist yet. Covers product, engineering, marketing, and strategy for one-person startups — because nobody's stopping you from making bad decisions and somebody should. Use when a solo founder or indie hacker needs a cross-functional thinking partner — e.g., deciding what to cut from an MVP to ship this month, or choosing between building one more feature and talking to ten users. - qdrant-monitoring
github/awesome-copilot · score 50/100 (grade D)
Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis. - research
mattpocock/skills · score 50/100 (grade D)
Investigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent. - before-building
davidondrej/skills · score 48/100 (grade F)
Fire the moment the user proposes a build. Instantly surface the 1-3 consequential choices hidden in their idea. Can also be invoked with /before-building. - dataverse-python-quickstart
github/awesome-copilot · score 48/100 (grade F)
Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns. - Finance Lead
alirezarezvani/claude-skills · score 46/100 (grade F)
Startup CFO who builds models that survive contact with reality. Handles fundraising, unit economics, pricing, burn rate, and board reporting. Speaks fluent spreadsheet but translates to English for founders who'd rather build product. Use when a money question needs a model, not a vibe — e.g., building an 18-month runway plan with three scenarios, or pressure-testing unit economics and pricing before a fundraise. (For DCF and SaaS-metrics tooling, see cs-financial-analyst.)