Backend Skills

Server-side development skills. This page lists all 989 Backend 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 Backend.

dont-make-me-think luongnv89/skills · score 95/100 (grade A)
Review UI usability using Steve Krug's principles and produce a scannable report. Use for UX audits of screenshots, URLs, or code. Don't use for brand critique, WCAG audits, or backend/API 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.
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.
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.
doc-manager luongnv89/skills · score 92/100 (grade A)
Generate or update docs to match the code, citing each claim to path:line and asking on ambiguity; runbook docs also get a check-only validation script. Don't use for API-reference autogen (JSDoc/Sphinx), landing pages, or CLAUDE.md/AGENTS.md.
redis sickn33/antigravity-awesome-skills · score 92/100 (grade A)
Configure Redis for caching and data storage. Set up clustering, persistence,
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.
nsfw-ai-spicyapi sickn33/antigravity-awesome-skills · score 90/100 (grade A)
Generate adult (18+) images, image-to-video clips and image edits through the SpicyAPI API, with a cost quote before every paid run and adults-only / consent rules.
weaviate sickn33/antigravity-awesome-skills · score 90/100 (grade A)
Search, query, inspect, create, and import data into Weaviate vector database collections using bundled adapted scripts and references.
archify tt-a1i/archify · score 89/100 (grade B)
Create validated architecture, workflow, sequence, data-flow, lifecycle/state, ERD, class, tree, timeline, and waterfall diagrams as explorable standalone HTML with dark/light themes, motion and image/SVG/WebM export. Accept requirements or Mermaid; inspect repository evidence for code-backed diagrams. Use when visualizing systems, API calls, pipelines, schemas, histories, timings, or everyday steps, parts, relationships and states. Also turn an answer into a one-page explainer, with the conclusion first, structured panels, native diagrams and charts, when the user asks for a page, an explainer or an answer to share (做成一页, 用页面讲), or proactively when the user's rules opt in with an [archify explainer: ...] line. Not for dashboards.
cloudish sickn33/antigravity-awesome-skills · score 89/100 (grade B)
Deploy a Dockerfile, source folder, or existing image to Cloudish as a running container at a live URL, built server-side with no local Docker, with confirmation before spending credits.
firebase-app-platform sickn33/antigravity-awesome-skills · score 89/100 (grade B)
Build and operate apps on Firebase using Auth, Firestore, Cloud Functions,
gpu-server-management sickn33/antigravity-awesome-skills · score 89/100 (grade B)
Set up and manage NVIDIA GPU servers for AI workloads
shopify-firebase-app sickn33/antigravity-awesome-skills · score 89/100 (grade B)
Scaffold, extend and deploy Shopify embedded apps on Firebase with Nitrogen. Use for a Shopify app on Cloud Functions, Firestore and Hosting, or inside a Nitrogen project.
datawebot sickn33/antigravity-awesome-skills · score 88/100 (grade B)
Find products for sale across online shops, list returned sellers' prices with direct links, and run Amazon and Shopify extraction Jobs through the hosted datawebot MCP server.
markitdown K-Dense-AI/claude-scientific-skills · score 88/100 (grade B)
Converts heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction, and the official MCP server.
newman-cicd-integration sickn33/antigravity-awesome-skills · score 88/100 (grade B)
Generate ready-to-use CI/CD pipeline configurations that install and run Newman for automated API testing.
ai-photo-restyler sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Install and use the official Photo to Anime package, pinned by digest, for paid hosted work on the Beatra service.
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.
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.
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.
paid-ad-copy-writer Affitor/affiliate-skills · score 87/100 (grade B)
Write paid ad copy for affiliate offers across ad platforms. Triggers on: "write ad copy", "Facebook ad for affiliate", "Google Ads copy", "TikTok ad script", "Pinterest ad", "paid traffic to affiliate", "create ad campaign", "ad headlines", "ad descriptions", "scale with paid ads", "run ads for my affiliate link", "write Facebook ad", "Google Search ad copy".
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.
vllm-server sickn33/antigravity-awesome-skills · score 87/100 (grade B)
Deploy and manage vLLM for high-throughput LLM inference. Configure continuous
api-designer sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Generates complete, production-ready REST API endpoint specifications for any system or domain the user describes.
assay sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Run assay on a web page you just wrote or changed. It opens the page in a real browser, drives every control, and reports where the page contradicts itself. Local browser checks without an LLM API key.
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.
ejentum-reasoning-harness sickn33/antigravity-awesome-skills · score 86/100 (grade B)
MCP server exposing four cognitive harness modes (reasoning, code, anti-deception, memory). Each call returns an engineered scaffold (failure pattern, procedure, suppression vectors, falsification test) the agent ingests before generating.
famulor-skill sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Operate Famulor assistants, communication history, campaigns, knowledge, automations, telephony, and workspace administration through its hosted MCP server.
fluidsim K-Dense-AI/claude-scientific-skills · score 86/100 (grade B)
Plans, configures, inspects, restarts, and analyzes bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and HPC safety checks. Use for FluidSim solver selection, parameter review, FFT/MPI setup, output diagnostics, or restart compatibility.
hugging-face-community-evals sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate.
llm-gateway sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Deploy an API gateway for LLM traffic with load balancing, rate limiting,
mcp-dependency-drift-audit sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Statically audit MCP configs for mutable npm/npx package references before approval or CI, without executing discovered MCP servers.
youtube-full sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Fetch YouTube transcripts, search videos, browse channels, and extract playlists via TranscriptAPI — no yt-dlp, no Google API key, works from any cloud server.
youtube-transcript-skills sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Fetch YouTube video transcripts, search videos/channels, browse channels, and extract playlists via the getyoutubetranscript.com API; verify current account terms.
agent-memory-discipline sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend.
api-sdk-generator sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Generates client SDK code, API wrapper libraries, request/response models, and language-specific usage patterns for any REST API.
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.
convex-backend sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Build reactive backends with Convex functions, schema validation, auth
database-lookup K-Dense-AI/claude-scientific-skills · score 85/100 (grade B)
Queries documented public database APIs with explicit endpoints, filters, pagination, and provenance. Used when a scientific, regulatory, financial, or other database-backed fact must be retrieved reproducibly from a named source rather than inferred from general knowledge.
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.
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.
google-drive-automation sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Lightweight Google Drive integration with standalone OAuth authentication. No MCP server required. Full read/write access.
i-have-adhd sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Shape output for ADHD readers: next action first, numbered steps, restated
neon-ai-gateway sickn33/antigravity-awesome-skills · score 85/100 (grade B)
One API and one credential for frontier and open-source LLMs, built into your Neon branch and powered by Databricks.
skill-security-audit sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Audit an Agent Skill, MCP server, connector, or desktop extension before installation by tracing code, dependencies, permissions, credentials, data flow, and irreversible actions.
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.
sql-sentinel sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Audit SQL for the cost & performance anti-patterns that burn warehouse credits. Scores warehouse health 0-100 and outputs a prioritized cost-reduction plan for BigQuery, Snowflake, Redshift, and Postgres.
webly sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Publish a website or share files at a live URL in seconds with no account, then let the person claim it, edit it over Webly's MCP server, and publish drafts they approve.
x-twitter-scraper sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Use Xquik for X data workflows: tweet search, user lookup, follower export, media downloads, monitors, webhooks, REST API, MCP, SDK setup, and approval-gated account actions.
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.
atlas-contract sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Goal-integrity skill. Use for backend/API/persistence, preserve/do-not-change, tests/validation, mocks, rework, multi-part requests. Emits Goal Contracts, Deviation Notices, Phase Checks, Final Audits. Skip for Q&A or trivial edits.
aws-mcp-setup sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Configure AWS MCP servers for documentation search and API access. Use when setting up AWS MCP, configuring AWS documentation tools, troubleshooting MCP connectivity, or when user mentions aws-mcp, awsdocs, uvx setup, or MCP server configuration.
backup-recovery sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Implement backup and recovery strategies. Configure rsync, Restic, and
boost-asio-pro sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Use when writing asynchronous C++ networking code with Boost.Asio or standalone Asio — TCP/UDP servers and clients, SSL/TLS, timers, strands, composed async ops. Covers io_context, co_spawn, awaitable, async_read/async_write, asio::spawn, yield_context, and pre-C++20 callback styles.
gemini-omni-flash-api sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Use this skill for generative video editing, text-to-video, image-referenced video generation, and first-frame-to-video transition animations using the official google-genai SDK.
hunt-spa-api sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Discover a single-page-app's hidden backend API from its public JS bundle,
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.
neverapply sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Find matching jobs, tailor resumes, prepare for interviews and apply to jobs with the user's approval through NeverApply's hosted MCP server (OAuth sign-in).
omentir-linkedin-outreach sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Run LinkedIn prospecting and outreach through the Omentir MCP server: find people, score fit, draft messages, and check campaigns. Never signs into LinkedIn.
ssh-configuration sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Configure SSH servers and clients securely. Manage keys, tunnels, and
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.
telegram-bot-messaging sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Send Telegram messages, files, and alerts via bot API; ask questions with inline buttons and wait for the answer. Supports multiple bots, named chat targets, and CI/cron/hook notifications.
time-ledger sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Natural-language time tracking: parse what the user says they did into Activity/Minutes/Date rows in their own Notion database — asking instead of guessing when unsure.
tune-monitor sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Analyze a Monte Carlo monitor and recommend config changes to reduce alert noise. Supports metric, custom SQL, validation, and table monitors. Fetches the report, identifies patterns, and suggests tuning.
us-watchlist-alerts sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Free US stock watchlists, price alerts and daily briefs; no API key, NYSE-holiday aware. Informational only, never places trades.
azure-functions-devsec sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Build serverless applications on Azure Functions. Configure triggers,
client-secret-exposure-audit sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Audit a deployed web app for secrets exposed to the browser: hardcoded API keys/tokens in JS, secrets in HTML meta/attributes/comments, publicly reachable source/config/deploy files, and header/CORS misconfig.
expo-api-routes sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Guidelines for creating API routes in Expo Router with EAS Hosting
gmail-automation sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Lightweight Gmail integration with standalone OAuth authentication. No MCP server required.
graphql-schema sickn33/antigravity-awesome-skills · score 83/100 (grade B)
GraphQL queries, mutations, and code generation patterns. Use when creating GraphQL operations, working with Apollo Client, or generating types.
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.
nfs-storage sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Configure NFS servers and clients. Implement network file sharing for
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.
ontoly-software-graph sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Use Ontoly's deterministic Software Graph, MCP server, and agent skills for architecture review, request tracing, impact analysis, and dependency analysis.
planetscale sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Operate MySQL-compatible databases on PlanetScale with branching workflows,
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.
serply-search-mcp sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Search Google, Bing, Google News and Google Scholar, and read public pages, with the Serply MCP server. Use when the user chooses Serply or its connected tools for current information and source verification.
wp-guard sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Review generated or changed WordPress plugins, themes, and blocks for security, internationalization, performance, and API correctness.
altorank sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Run AltoRank through its hosted MCP server: readiness audits, Search Console, keyword research, and SEO drafts into a review queue.
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.
api-contract-testing sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Design and review API contract tests across providers and consumers. Use for schema changes, compatibility regressions and client integration failures.
api-onboarding sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Reduce time-to-first-API-call (TTFAC) by optimizing every step of the developer onboarding journey. This skill covers authentication simplification, sandbox environments, interactive documentation, and identifying and eliminating common failure points.
apple-notes-search sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Semantic + keyword search and connection-discovery across the user's own Apple Notes via the apple-notes MCP server. Use when the user wants to find, recall, or synthesize something from their notes, or surface non-obvious bridges/related notes. macOS, on-device.
aws-lambda sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Build and deploy serverless functions on AWS Lambda. Configure triggers,
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.
generate-image K-Dense-AI/claude-scientific-skills · score 82/100 (grade B)
Generates or edits images with AI models through the OpenRouter Image API (Gemini, Seedream, Recraft, GPT-Image, Riverflow). Use for photos, illustrations, artwork, concept art, visual assets, logos, and image editing or compositing from reference images. For flowcharts, circuits, pathways, and other technical diagrams, use the scientific-schematics skill instead.
huggingface-local-models sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
hunt-shadow-api sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Hunt shadow / zombie / undocumented API surface (OWASP API9 Improper
krexa sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Turn a trading idea, post or video into fixed rules, backtest and paper-trade them, and request a user-approved live agent through Krexa's MCP server. Cannot move funds.
linkdigest-social-link-reader sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Read one public Xiaohongshu, Douyin, TikTok, YouTube, X or WeChat article link into text an agent can use (transcript, image text, key points) via the LinkDigest API or MCP server.
linux-administration sickn33/antigravity-awesome-skills · score 82/100 (grade B)
System administration for Linux servers. Manage packages, services, and
looot sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Search, price and run 2,500+ data API endpoints (work emails, company search, SERP, web pages) from one prepaid balance via the looot MCP server.
mac-mini-llm-lab sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Configure a Mac mini as a reliable local LLM server with remote access,
postgres-readonly-queries sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Execute safe read-only SQL queries against PostgreSQL databases with multi-connection support and defense-in-depth write protection.
solidping sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Run SolidPing uptime monitoring through its hosted MCP server: list and diagnose checks, read results and incidents, create checks across 40+ types, and manage status pages.
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.
test-gap-audit github/awesome-copilot · score 82/100 (grade B)
Run a read-only audit for missing, weak, stale, or mis-scoped test coverage. If the user does not name a scope, audit the full repository and identify important code paths, routes, features, services, workflows, and contracts that lack proper tests. If the user names a feature, PR, branch, route, workflow, service, bug fix, API, security-sensitive path, or risky code change, focus only on that specific scope. Use when the user asks what tests are missing, whether coverage is enough, what regression tests to add, or how to prove a change is safe. This is not a general bug audit and not a security review; it evaluates whether behavior is covered by tests.
upstash-ratelimit sickn33/antigravity-awesome-skills · score 82/100 (grade B)
Add rate limiting to API routes, middleware, and edge functions with @upstash/ratelimit: sliding window, fixed window, and token bucket backed by Upstash Redis.
agentmail sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Email infrastructure for AI agents. Create accounts, send/receive emails, manage webhooks, and inspect billing balance via the AgentMail API.
api-and-interface-design sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
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.
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.
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.
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.
google-docs-automation sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Read and edit Google Docs through an available authenticated connector or reviewed API integration, with scoped changes and read-back verification.
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).
i-have-adhd ayghri/i-have-adhd · score 81/100 (grade B)
Shape output for a reader with ADHD: lead with the next action, number multi-step work, restate state across turns, suppress tangents, give specific time estimates, make wins visible. Invoke with /i-have-adhd; stays on until "stop adhd mode".
keenable-search-mcp sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Search the public web with site and date filters, and read pages with an extraction prompt, through Keenable's keyless MCP server. Use when the user chooses Keenable or its connected tools.
linux-hardening sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Apply CIS benchmarks and secure Linux servers.
markstream-react sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Integrate the beta markstream-react renderer into React 18+ or Next.js with correct client/server entrypoints, CSS, streaming state, and component overrides.
markstream-vue2 sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Integrate markstream-vue2 into Vue 2.6 or 2.7 with correct Composition API decisions, CSS, streaming state, optional peers, and scoped overrides.
markstream-vue2-vite sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Integrate markstream-vue2 into Vue 2 plus Vite with bundled worker imports, CSS ordering, Composition API compatibility, and safe streaming defaults.
mcp-server-security sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Secure Model Context Protocol (MCP) servers with transport encryption,
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`).
neon-object-storage sickn33/antigravity-awesome-skills · score 81/100 (grade B)
S3-compatible object storage that branches with your Neon project, so files and the database stay in sync across every branch.
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.
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.
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.
site-architecture sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Plan or restructure website hierarchy, navigation, URL patterns, breadcrumbs, and internal linking. Use when mapping pages, sections, and site structure, but not for XML sitemap auditing or schema markup.
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.
swift-concurrency-pro twostraws/Swift-Concurrency-Agent-Skill · score 81/100 (grade B)
Reviews Swift code for concurrency correctness, modern API usage, and common async/await pitfalls. Use when reading, writing, or reviewing Swift concurrency code.
vector-database-ops sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Deploy, manage, and optimize vector databases for AI applications.
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".
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.
api-analyzer sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Validates whether an API request is correct based on provided inputs (method, URL, headers, body, auth, query params).
autoskill K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Analyzes user-requested Screenpipe history windows to detect repeated research workflows, match existing scientific skills, and stage new skill drafts or composition recipes for review. Requires a reachable Screenpipe HTTP API, normally on localhost:3030. Detection and embedding inference run locally; the selected LLM receives redacted app/title cluster summaries and matched skill descriptions. Use only when the user explicitly asks to analyze their recent work and propose skills.
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.
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-resource-manager-mysql-dotnet sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Azure MySQL Flexible Server SDK for .NET. Database management for MySQL Flexible Server deployments.
azure-resource-manager-postgresql-dotnet sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Azure PostgreSQL Flexible Server SDK for .NET. Database management for PostgreSQL Flexible Server deployments.
azure-sql sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Provision Azure SQL Database and Cosmos DB. Configure security, backups,
backend-development-feature-development sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.
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.
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.
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.
cloud-logging-configuration-basics google/skills · score 80/100 (grade B)
Configure single-project Cloud Logging on Google Cloud: regional log buckets, log sinks, log views, restricting or hiding sensitive logs in the default view (_Default) filter, IAM permissions for views (Logs View Accessor, IAM conditions), logs-based metrics, log exclusions, and sampling. Don't use for cross-project logging or multi-project setups.
darkmoon-pentest sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Start, follow and triage authorized autonomous AI pentest runs on a self-hosted Darkmoon Pro instance through its MCP server.
database-backups sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Implement database backup strategies. Configure automated backups, retention,
drizzle-migration-conflict sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Diagnose, repair, and prevent Drizzle Kit migration conflicts involving generated SQL, snapshots, journals, merge queues, and team workflows.
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.
gcp-cloud-functions sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Deploy serverless functions on Google Cloud Functions. Configure triggers
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.
graceful-shutdown sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Implement graceful shutdown for servers and workers: drain connections, finish in-flight work, release resources, and exit cleanly on SIGTERM/SIGINT.
helium-mcp sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Connect to Helium's MCP server for news research, media bias analysis, balanced perspectives, stock/options data, and semantic meme search across 3.2M+ articles and 5,000+ sources
hunt-graphql sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Hunting skill for graphql vulnerabilities.
hunt-ssti sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Hunt server-side template injection (SSTI) across Jinja2 (Flask/Django),
kubestellar-console sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Multi-cluster Kubernetes dashboard with AI-powered operations via MCP server and 10+ built-in agent skills
labarchive-integration K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Integrates with the official LabArchives ELN REST-like API and Inventory API v1. Supports regional endpoint selection, signed-request construction, user authorization and UID flows, local LA container validation, and verified LabArchives integration workflows.
lognorm sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Work a site's SEO and AI-visibility (GEO) backlog through the hosted LogNorm MCP server: audits, fixes, content, AI-answer tracking.
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.
mcp-copilot-studio-server-generator github/awesome-copilot · score 80/100 (grade B)
Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support
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.
open-notebook K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Organizes research with the self-hosted Open Notebook alternative to NotebookLM. Supports source ingestion (PDFs, web pages, audio, video, and Office documents), cited document chat, text and vector search, notes, custom transformations, and multi-speaker podcasts. Use when automating Open Notebook through its REST API or configuring its local or cloud AI providers, including OpenAI, Anthropic, Google, Ollama, Groq, and Mistral.
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.
postgresql-devsec sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Administer PostgreSQL databases. Configure replication, backups, and
privacy-mask sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Mask, redact, anonymize and censor sensitive information (PII) in screenshots and images — phone numbers, emails, IDs, API keys, crypto wallets, credit cards, passwords, and more.
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.
pybamm K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Simulates lithium-ion battery charge, discharge and rest experiments with PyBaMM, records parameter-set provenance, checks mesh and solver sensitivity, and compares predicted voltage curves with measured cycling data. Use for SPM or DFN electrochemical battery modeling, C-rate protocols, voltage cutoffs, parameter studies and numerical validation of battery simulations.
pycalphad K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Computes finite-temperature CALPHAD equilibria, phase fractions, and phase compositions from thermodynamic TDB databases using pycalphad. Use for alloy phase stability, equilibrium temperature sweeps, tie lines, lever-rule checks, or reproducible phase-fraction calculations with explicit components and mole-fraction conditions.
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.
socialclaw sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Agent-first social media publishing skill — schedule and publish posts across the listed platforms (X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, Pinterest) via a single workspace API key.
taasky sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Negotiate terms with another person or their agent through the hosted Taasky MCP server: meeting times, prices, dates. The human confirms every accept, reject or withdraw.
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.
upstash-redis sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Use the @upstash/redis HTTP client for caching, sessions, counters, and Redis data structures from serverless and edge runtimes without connection pooling.
vps-server-management sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Manage authorized VPS hosts and server-side agents through cautious SSH and operations workflows.
accounting-software-selection sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software.
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).
azure-mgmt-apimanagement-dotnet sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Azure Resource Manager SDK for API Management in .NET.
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.
buywhere-product-catalog sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Use BuyWhere's MCP and API surfaces to add product search, price comparison, and deal discovery to AI shopping agents.
caio-review alirezarezvani/claude-skills · score 79/100 (grade C)
/c-level-agents:caio-review [plan] — Eval-demanding Chief AI Officer interrogation of any plan that involves AI: model selection, risk classification, cost economics, or AI hiring. Use when shipping an AI feature without an eval set, choosing between API, fine-tune, and self-hosted, or classifying a use case under the EU AI Act.
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.
developer-signup-flow sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Design frictionless signup experiences for developers including GitHub OAuth, API key generation, and onboarding personalization.
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.
google-slides-automation sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Read and edit Google Slides through an available authenticated connector or reviewed API integration, with scoped changes and read-back verification.
hf-mcp sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected to the HF MCP server.
hugging-face-papers sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page.
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.
jira-integration affaan-m/ECC · score 79/100 (grade C)
Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.
jira-integration affaan-m/everything-claude-code · score 79/100 (grade C)
Use this skill when retrieving Jira tickets, analyzing requirements, updating ticket status, adding comments, or transitioning issues. Provides Jira API patterns via MCP or direct REST calls.
k6-load-testing sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Comprehensive k6 load testing skill for API, browser, and scalability testing. Write realistic load scenarios, analyze results, and integrate with CI/CD.
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.
mongodb sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Administer MongoDB databases. Configure replica sets, sharding, and backups.
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.
ncats-arax K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Queries the NCATS Translator ARAX production API for bounded, typed, provenance-rich one-hop and endpoint-pinned two-hop biomedical knowledge-graph relationships. Use for Biolink-constrained RTX-KG2 lookup, explicit selected-provider ARAX federation, separate entity normalization, qualifier-aware graph traversal, and inspection of TRAPI edge bindings, publications, and knowledge-source provenance. Do not use for inference, ranking, open-ended pathfinding, clinical guidance, or sensitive queries.
neon-functions sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Long-running, serverless Node.js HTTP functions deployed onto your Neon branch, with DATABASE_URL injected automatically and compute that runs next to your data.
notion-automation sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Automate Notion tasks via Rube MCP (Composio): pages, databases, blocks, comments, users. Always search tools first for current schemas.
protocolsio-integration K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Reads, validates, and safely exports protocols.io data with current official REST/MCP contracts, or creates non-executing mutation plans. The bundled client makes bounded official-host GET requests only with explicit --execute. Use only for tasks explicitly targeting protocols.io or an exact protocols.io protocol version.
pylabrobot K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Develops and reviews PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations. Supports PyLabRobot protocols and API questions; keep physical execution behind an explicit operator safety gate.
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.
relion K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Validates and executes RELION single-particle cryo-EM refinement and half-map postprocessing. Supports STAR optics/acquisition checks, particle-stack consistency, gold-standard half sets, soft-mask validation, diagnostic Fourier shell correlation, and restart guidance.
supabase-postgres-best-practices sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
trading-ledger sickn33/antigravity-awesome-skills · score 79/100 (grade C)
A trading journal that captures the decision, not just the fill: thesis, plan, and emotion at the moment of entry, written to the user's own Notion database; reviews grade decisions, not P&L.
trending-keyword-visualizer sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Trending Keyword Visualizer. Use when working with dated keyword interest or volume series with source.
usage-based-pricing sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Design pricing models that developers understand, accept, and can predict. Trigger phrases: usage-based pricing, API pricing, metered billing, developer pricing, pricing page, cost calculator, pay as you go, pricing transparency, competitive pricing, developer billing
usfiscaldata K-Dense-AI/claude-scientific-skills · score 79/100 (grade C)
Queries the U.S. Treasury Fiscal Data REST API for federal financial data. No API key required. Use for national debt (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates, foreign exchange rates, savings bonds, or U.S. government revenue and spending statistics.
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.
wordpress-penetration-testing sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Assess WordPress installations for common vulnerabilities and installed core/plugin REST permission boundaries.
admin-access-register sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Admin account register: system, main and backup admin, seats, plan, 2FA, shared logins and access-review dates, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.
advanced-analytics-dashboard sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Dashboard metric register: metric, source module, formula, period, value, target, trend, owner and last-updated, as CSV, SQL, JSON Schema or Notion on request. Use for KPI dashboards.
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.
api-fuzzing-bug-bounty sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Provide comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing engagements. Covers vulnerability discovery, authentication bypass, IDOR exploitation, and API-specific attack vectors.
api-rate-limit-handler sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Implement bounded, idempotency-aware API throttling, backoff, and retry handling for 429 and transient 5xx responses.
api-security sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Authorized security assessment of REST, GraphQL, WebSocket, and SOAP APIs: discovery, authentication and authorization flaws (BOLA/IDOR, JWT/OAuth), rate-limit testing, and a structured multi-phase methodology.
appdeploy sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Deploy web apps with backend APIs, database, and file storage. Use when the user asks to deploy or publish a website or web app and wants a public URL. Uses HTTP API via curl.
atlas-cloud-media sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Generate Atlas Cloud images and videos through its asynchronous media API with schema-first model selection and credential-safe polling.
aws-secrets-rotation sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Automate AWS secrets rotation for RDS, API keys, and credentials
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-mgmt-apicenter-dotnet sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Azure API Center SDK for .NET. Centralized API inventory management with governance, versioning, and discovery.
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-resource-manager-redis-dotnet sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Azure Resource Manager SDK for Redis in .NET.
bdistill-knowledge-extraction sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Extract structured domain knowledge from AI models in-session or from local open-source models via Ollama. No API key needed.
docs-guard sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Review generated or changed documentation before it ships, including READMEs, API references, docstrings, changelogs, tutorials, and documentation sites.
emblemai-crypto-wallet sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Crypto wallet management across 7 blockchains via EmblemAI Agent Hustle API. Balance checks, token swaps, portfolio analysis, and transaction execution for Solana, Ethereum, Base, BSC, Polygon, Hedera, and Bitcoin.
google-cloud-storage-basics google/skills · score 78/100 (grade C)
Stores, retrieves, and manages data as objects in Cloud Storage on Google Cloud (also known colloquially as GCS) buckets. Use when you need to interact with Cloud Storage — set up a Storage MCP server (remote or local Toolbox), create or configure buckets, upload, download, stream, or transfer data, organize objects with folders, generate signed URLs, control access (IAM, ACLs, public access prevention), set storage classes (Standard, Nearline, Coldline, Archive), manage lifecycle and cost, protect data (versioning, CMEK, retention, Bucket Lock, holds, soft delete), host static websites, trigger Pub/Sub notifications, mount buckets (gcsfuse), or optimize performance. Covers gcloud storage / gsutil, JSON/XML APIs, client libraries, Terraform, and Cloud Storage MCP servers. Don't use for generic MCP setup that doesn't mention Cloud Storage, other MCP servers, block storage (Persistent Disk), BigQuery, or databases (Cloud SQL, Spanner, Bigtable, Firestore).
hugging-face-datasets sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Create and manage datasets on Hugging Face Hub. Supports initializing repos, defining configs/system prompts, streaming row updates, and SQL-based dataset querying/transformation. Designed to work alongside HF MCP server for comprehensive dataset workflows.
mailtrap-sending-emails sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Configure or troubleshoot Mailtrap live email sending with Email API, SMTP, transactional streams, bulk streams, or batches.
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.
monte-carlo-prevent sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Surfaces Monte Carlo data observability context (table health, alerts, lineage, blast radius) before SQL/dbt edits.
monte-carlo-validation-notebook sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Generates SQL validation notebooks for dbt PR changes with before/after comparison queries.
mysql sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Administer MySQL/MariaDB databases. Configure replication and optimize
postgresql-cli sickn33/antigravity-awesome-skills · score 78/100 (grade C)
PostgreSQL interactive terminal (psql) reference and usage guide.
postman-collection-generator sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Generate complete, import-ready Postman Collection v2.1 JSON files from natural language API descriptions or cURL commands.
smtp-penetration-testing sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Conduct comprehensive security assessments of SMTP (Simple Mail Transfer Protocol) servers to identify vulnerabilities including open relays, user enumeration, weak authentication, and misconfiguration.
sqlmap-database-pentesting sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Provide systematic methodologies for automated SQL injection detection and exploitation using SQLMap.
supabase-automation sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Automate Supabase database queries, table management, project administration, storage, edge functions, and SQL execution via Rube MCP (Composio). Always search tools first for current schemas.
timesfm-forecasting K-Dense-AI/claude-scientific-skills · score 78/100 (grade C)
Performs zero-shot time-series forecasting with Google's TimesFM, including regular-grid CSV preparation, quantile forecasts, XReg covariates, and held-out evaluation. Uses the Apache-licensed TimesFM 2.5 checkpoint by default and documents the distinct TimesFM 3.0 multivariate API and weight-license requirements.
traderspy-technical-analysis sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Read one crypto futures pair with TraderSpy: 19 indicators on up to 3 timeframes in one call, key levels, funding, open interest and positioning. Use for \"analyse BTC\" or \"is SOL oversold\".
vmware-vcenter-attack sickn33/antigravity-awesome-skills · score 78/100 (grade C)
VMware vSphere / vCenter Server external attack matrix
voice-changer elevenlabs/skills · score 78/100 (grade C)
Transform the voice in an audio recording into a different target voice while preserving emotion, timing, and delivery using the ElevenLabs Voice Changer (speech-to-speech) API. Use when converting one voice to another, changing the speaker/narrator of an existing recording, dubbing a voice-over in a different voice, creating character voices from a scratch performance, anonymizing a speaker, or any "voice conversion / voice transfer / speech-to-speech" task. Make sure to use this skill whenever the user mentions voice changing, voice conversion, speech-to-speech, swapping a voice in audio, re-voicing a clip, or applying a different voice to an existing recording — even if they don't explicitly say "voice changer". Do not use this skill to create or clone a new voice from a voice sample — that is voice cloning (IVC/PVC), a separate feature; this skill only converts an existing recording into an existing voice_id.
voice-isolator elevenlabs/skills · score 78/100 (grade C)
Remove background noise and isolate vocals/speech from audio using ElevenLabs Voice Isolator (audio isolation) API. Use when cleaning up noisy recordings, removing music or background ambience from dialogue, isolating speech from field recordings, preparing audio for transcription, extracting vocals, or any "denoise / clean up / isolate voice" task.
windows-hardening sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Harden Windows servers per security baselines and CIS benchmarks. Configure
windows-server sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Administer Windows Server systems. Manage IIS, Active Directory, and
api-gateway-mcp-server google/skills · score 77/100 (grade C)
Configures Google Cloud API Gateway to act as a remote Model Context Protocol (MCP) server (Public Preview) that exposes REST APIs as agent tools over HTTP (POST /mcp). Use when migrating OpenAPI 2.0 specs to OpenAPI 3.x for MCP, annotating specs with x-google-api-management.mcp and x-google-mcp-tool, securing tools/list with JWTs or API keys, connecting Google ADK (McpToolset) or Apigee API hub and Agent Registry, or troubleshooting MCP JSON-RPC errors (-32601, -32602, -32000). Do not use for Apigee X proxy bundles, outbound LLM model routing, or GKE Gateway API.
api-integration sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Designs event-driven architectures, webhook systems, API chaining flows, ETL pipelines, and integration patterns between services.
api-security-testing sickn33/antigravity-awesome-skills · score 77/100 (grade C)
API security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
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.
apify-actorization sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output.
apify-reddit-scraper sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Scrape Reddit posts, comments, subreddits and users with the harshmaur/reddit-scraper Apify Actor. No Reddit API key. Keyword search, date windows, full threads.
asc-subscription-localization rudrankriyam/app-store-connect-cli-skills · score 77/100 (grade C)
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
asset-inventory sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Maintain IT asset inventory and configuration management database. Track
aws-rds sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Provision and manage RDS databases. Configure backups, replication, and
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-resource-manager-sql-dotnet sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Azure Resource Manager SDK for Azure SQL in .NET.
azure-security-keyvault-secrets-java sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Azure Key Vault Secrets Java SDK for secret management. Use when storing, retrieving, or managing passwords, API keys, connection strings, or other sensitive configuration data.
bigquery-migration-sql-translator google/skills · score 77/100 (grade C)
Translates SQL queries, DDL schemas, and stored procedures from legacy database dialects (Teradata, Oracle, Redshift, Snowflake, SparkSQL, HiveQL) to BigQuery GoogleSQL using the BigQuery Migration Service (BQMS) MCP server. Use when translating legacy SQL queries, migrating schemas or metadata zip archives, or configuring BigQuery Migration Service (BQMS) YAML translation settings. Don't use for executing BigQuery queries or managing datasets and tables (use bigquery-basics), diagnosing runtime job errors (use bigquery-troubleshooting), or tuning slot reservations (use bigquery-optimization).
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.
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.
curlshot sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Capture web page screenshots, PDFs and scrolling videos, or render HTML/Markdown to images, with the hosted CurlShot API.
database-migration sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Master database schema and data migrations across ORMs (Sequelize, TypeORM, Prisma), including rollback strategies and zero-downtime deployments.
database-migrations-sql-migrations sickn33/antigravity-awesome-skills · score 77/100 (grade C)
SQL database migrations with zero-downtime strategies for PostgreSQL, MySQL, and SQL Server. Focus on data integrity and rollback plans.
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.
deprecation-and-migration addyosmani/agent-skills · score 77/100 (grade C)
Manages deprecation and migration. Use when removing old systems, APIs, or features. Use when migrating users from one implementation to another. Use when migrating a database schema in production, such as renaming or dropping a column without downtime (expand/contract). Use when deciding whether to maintain or sunset existing code.
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.
figma-create-design-system-rules openai/skills · score 77/100 (grade C)
Generates custom design system rules for the user's codebase. Use when user says "create design system rules", "generate rules for my project", "set up design rules", "customize design system guidelines", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.
gemini-api-integration sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Use when integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.
hunt-fintech-graphql sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Hunt fintech-specific GraphQL vulnerabilities
muapi-media sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Generate images and videos with MuAPI's schema-driven asynchronous media API while protecting keys, polling, and output downloads.
obsidian-bases sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
odoo-docker-deployment sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Production-ready Docker and docker-compose setup for Odoo with PostgreSQL, persistent volumes, environment-based configuration, and Nginx reverse proxy.
performance-optimization addyosmani/agent-skills · score 77/100 (grade C)
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
plaid-fintech sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Expert patterns for Plaid API integration including Link token
polars-bio K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
Performs genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration from bioframe.
pydantic-models-py sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Create Pydantic models following the multi-model pattern for clean API contracts.
ship-gate alirezarezvani/claude-skills · score 77/100 (grade C)
Pre-production audit that scans a codebase for security, database, deployment, code quality, AI/LLM, dependency, frontend, and observability issues. Intercepts deploy commands and blocks until critical items pass. Stack-agnostic. Use for "run ship gate", "am I ready to ship", "pre-launch audit", "can I deploy", "push to production", "go live checklist", "preflight check". Not for CI/CD setup or infra provisioning.
tamarind K-Dense-AI/claude-scientific-skills · score 77/100 (grade C)
Provides access to a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization.
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.
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).
asc-app-create-ui rudrankriyam/app-store-connect-cli-skills · score 76/100 (grade C)
Create a new App Store Connect app record via browser automation. Use when there is no public API for app creation and you need an agent to drive the New App form.
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".
backend-dev-guidelines sickn33/antigravity-awesome-skills · score 76/100 (grade C)
You are a senior backend engineer operating production-grade services under strict architectural and reliability constraints. Use when routes, controllers, services, repositories, express middleware, or prisma database access.
cc-skill-security-review sickn33/antigravity-awesome-skills · score 76/100 (grade C)
This skill guides review of security practices and potential vulnerabilities; no checklist ensures all code is secure. Use when implementing authentication or authorization, handling user input or file uploads, or creating new API endpoints.
chord-onchain-trading sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Read DEX market data and prepare best-route swap quotes and unsigned swap transactions on eight EVM chains with the Chord API. Never signs or moves funds.
cross-platform-contract-propagation-audit sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Use when auditing whether a field, enum, flag, or API contract propagates consistently across storage, services, clients, analytics, and tests.
customs-trade-compliance sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Codified expertise for customs documentation, tariff classification, duty optimisation, restricted party screening, and regulatory compliance across multiple jurisdictions.
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.
development sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Comprehensive web, mobile, and backend development workflow bundling frontend, backend, full-stack, and mobile development skills for end-to-end application delivery.
diagram-design cathrynlavery/diagram-design · score 76/100 (grade C)
Create branded architecture, architecture delta, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, exploded axonometric, axonometric plan, Venn, pyramid/funnel, treemap and marimekko, heatmap, bar and dumbbell, waterfall, line (slopegraph, ridgeline, streamgraph, bump), Gantt and scatter charts (bubble, beeswarm), high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, service blueprint, deployment, dependency graph, UML class, story map, or database schema diagrams as HTML/SVG/PNG, with .drawio, Mermaid, and .excalidraw import, plus lifecycle phase maps, block decomposition trees, and onboarding guidance.
documentation sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Documentation generation workflow covering API docs, architecture docs, README files, code comments, and technical writing.
dotnet-architect sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Expert .NET backend architect specializing in C#, ASP.NET Core, Entity Framework, Dapper, and enterprise application patterns.
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.
file-path-traversal sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Identify and exploit file path traversal (directory traversal) vulnerabilities that allow attackers to read arbitrary files on the server, potentially including sensitive configuration files, credentials, and source code.
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
gcp-cloud-architect alirezarezvani/claude-skills · score 76/100 (grade C)
Design GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.
gcp-cloud-sql sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Provision Cloud SQL databases. Configure high availability,
gke-workload-identity google/skills · score 76/100 (grade C)
Configures and diagnoses Workload Identity Federation for GKE authentication failures for Pods (403 "iam.serviceAccounts.getAccessToken" / permission denied, "could not find default credentials", or GKE metadata server unreachable) by verifying cluster and node-pool Workload Identity configuration, the Kubernetes ServiceAccount (KSA) to IAM binding (direct principal binding and legacy Google ServiceAccount impersonation), target-resource IAM roles, and gke-metadata-server health. Use when setting up KSA/GSA bindings (`roles/iam.workloadIdentityUser`, `iam.gke.io/gcp-service-account`) or when a Pod cannot authenticate to Google Cloud APIs. Don't use for in-cluster Kubernetes RBAC errors (API-server authorization), general workload crashes (use gke-workload-troubleshooting), or Pod Security Standards and NetworkPolicies (use gke-workload-security).
google-ads-api-account-diagnostics google/skills · score 76/100 (grade C)
Diagnoses Google Ads account performance issues such as conversion loss (value or volume), low lead flow/volume, and lost impression share (opportunities) due to ad rank, bids, or budgets. Use when troubleshooting sudden performance drops, analyzing campaign impression share metrics, investigating low lead flow, or searching for bidding and budget constraints. Don't use for setting up new campaigns, uploading conversion events directly, or general Google Mobile Ads SDK integration issues (use gma-android-integrate instead).
google-sheets-automation sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Read and edit Google Sheets through an available authenticated connector or reviewed API integration, with scoped changes and read-back verification.
hugging-face-evaluation sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Add and manage evaluation results in Hugging Face model cards. Supports extracting eval tables from README content, importing scores from Artificial Analysis API, and running custom model evaluations with vLLM/lighteval. Works with the model-index metadata format.
hunt-api-misconfig sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Hunt API security misconfiguration
hunt-sharepoint sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Hunt Microsoft SharePoint Server (2013/2016/2019/Subscription Edition)
json-schema-manual sickn33/antigravity-awesome-skills · score 76/100 (grade C)
JSON Schema Manual: draft 2020-12 validation schema from a confirmed field list, with required and enum values only where confirmed. Use for an API or import contract.
llm-cost-optimization sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Reduce LLM API and infrastructure costs through model selection, prompt
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).
mcp-release-qa github/awesome-copilot · score 76/100 (grade C)
Verify an MCP server before release by exercising a real protocol session, comparing runtime capabilities with source and documentation, testing failure paths, and recording reproducible evidence. Use when shipping or reviewing an MCP server, tool, resource, prompt, catalog, or install path.
mesh-memory sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Self-hosted semantic memory for AI agents via MCP. Save worklogs, decisions, and notes, then recall them across sessions by meaning, not keyword. Postgres + pgvector with auto-tagging.
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.
monopoly sickn33/antigravity-awesome-skills · score 76/100 (grade C)
MONOPOLY is a Senior System Design Engineer skill for architecting, reviewing, and scaling systems. Triggers on requests involving architecture, databases, scaling, microservices, or infrastructure design. Proactively engages to design resilient backend systems.
odoo-migration-helper sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Step-by-step guide for migrating Odoo custom modules between versions (v14→v15→v16→v17). Covers API changes, deprecated methods, and view migration.
odoo-shopify-integration sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Connect Odoo with Shopify: sync products, inventory, orders, and customers using the Shopify API and Odoo's external API or connector modules.
paper-lookup K-Dense-AI/claude-scientific-skills · score 76/100 (grade C)
Searches 18 scholarly APIs for papers, preprints, citations, open-access full text, repository records, and journal OA status, and returns results with reproducible provenance. Covers PubMed, PMC, Europe PMC, bioRxiv, medRxiv, arXiv, OpenAlex, Crossref, Semantic Scholar, CORE, Unpaywall, OpenCitations, PubTator3, Zenodo, Figshare, ROR, BioStudies, and DOAJ. Use when searching for papers, citations, DOI/PMID/arXiv lookups, abstracts, full text, open-access PDFs, preprints, citation graphs, author publications, biomedical entity annotations, deposited records (Zenodo, Figshare, BioStudies), institution ROR IDs, or any scholarly literature query. Triggers on mentions of any supported database or requests like "find papers on X", "look up this DOI", "who cites this paper", or "get me the PDF".
parcel-coupon sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Call parcel/courier coupon API to fetch one-stop logistics service coupons, including smart shipping and smart price matching. Returns coupon links and QR code images for users to redeem via WeChat.
podcast-generation sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Generate real audio narratives from text content using Azure OpenAI's Realtime API.
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.
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-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.
security-pen-testing alirezarezvani/claude-skills · score 76/100 (grade C)
Use when the user asks to perform security audits, penetration testing, vulnerability scanning, OWASP Top 10 checks, or offensive security assessments. Covers static analysis, dependency scanning, secret detection, API security testing, and pen test report generation.
traderspy-market-briefing sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Crypto market briefing from live TraderSpy data: majors, funding, open interest, top-trader lean, fresh AI signals and screener movers. Use for \"what's happening in crypto\" or a recap.
trip-coupon sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Call trip/travel coupon API to fetch travel coupons including DiDi ride-hailing gift packages and hotel coupon bundles. Returns coupon links and QR code images for users to redeem via WeChat.
vercel-ai-sdk-expert sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Expert in the Vercel AI SDK. Covers Core API (generateText, streamText), UI hooks (useChat, useCompletion), tool calling, and streaming UI components with React and Next.js.
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.
youtube-full alirezarezvani/claude-skills · score 76/100 (grade C)
Use when the user needs YouTube transcripts, video search, channel browsing, playlist extraction, or content monitoring. Trigger phrases: 'get the transcript for', 'search YouTube for', 'what are the latest videos on', 'list this playlist', 'monitor this channel', or any request involving a YouTube URL, video ID, or @handle. Do NOT use for downloading video or audio files, YouTube engagement data (likes, comments), or private/age-restricted videos.
zero-hallucination-coder alirezarezvani/claude-skills · score 76/100 (grade C)
Runs a disciplined Discuss → Map → Decompose → Execute → Verify loop that grounds code in verified structure — no invented APIs, no assumed imports, no placeholder code — with a lazy-senior-dev YAGNI ladder that deletes unnecessary code before it is written. Use when a coding task is high-stakes, complex, or spans existing code (auth, databases, migrations, multi-file features), or when the user explicitly asks to plan carefully before coding, avoid hallucinated code, or work rigorously. Not for trivial edits, typos, or throwaway one-off scripts — those do not need the full loop.
access-matrix sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Access matrix of role-by-module permissions, with per-role scope, confidentiality level and SME tier, as CSV, SQL, JSON Schema or Notion on request. Use for access reviews.
alumni-re-hire-tracker sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Alumni and re-hire register: former role, last working day, re-hire eligibility, current employer and re-engagement date, as CSV, SQL, JSON Schema or Notion on request. Use for alumni outreach.
announcement-board sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Announcement board: author, category, department, priority, audience, publish and expiry dates, status and acknowledgements, as CSV, SQL, JSON Schema or Notion on request. Use for internal notices.
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-documentation sickn33/antigravity-awesome-skills · score 75/100 (grade C)
API documentation workflow for generating OpenAPI specs, creating developer guides, and maintaining comprehensive API documentation.
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
api-security-best-practices sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Implement secure API design patterns including authentication, authorization, input validation, rate limiting, and protection against common API vulnerabilities
api-testing-observability-api-mock sickn33/antigravity-awesome-skills · score 75/100 (grade C)
You are an API mocking expert specializing in realistic mock services for development, testing, and demos. Design mocks that simulate real API behavior and enable parallel development.
attendance sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Daily attendance register: check-in and check-out, hours worked, work mode, late minutes, leave and regularisation flags, as CSV, SQL, JSON Schema or Notion on request. Use for payroll input.
aws-solution-architect alirezarezvani/claude-skills · score 75/100 (grade C)
Design AWS architectures for startups using serverless patterns and IaC templates. Use when asked to design serverless architecture, create CloudFormation templates, optimize AWS costs, set up CI/CD pipelines, or migrate to AWS. Covers Lambda, API Gateway, DynamoDB, ECS, Aurora, and cost optimization.
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-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-cosmos-java sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Azure Cosmos DB SDK for Java. NoSQL database operations with global distribution, multi-model support, and reactive patterns.
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-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-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.
base sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Database management, forms, reports, and data operations with LibreOffice Base.
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).
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.
cc-skill-backend-patterns sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
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).
distributed-tracing sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Implement distributed tracing with Jaeger and Tempo for request flow visibility across microservices.
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.
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.
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
foundry-agent-sync github/awesome-copilot · score 75/100 (grade C)
Create and synchronize prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills that only generate local code, this skill registers agents in the Foundry service itself — making them immediately available for invocation. Use when the user asks to create agents in Foundry, sync, deploy, register, or push agents to Foundry, update agent instructions, or scaffold the manifest and sync script for a new repository. Triggers: 'create agent in foundry', 'sync foundry agents', 'deploy agents to foundry', 'register agents in foundry', 'push agents', 'create foundry agent manifest', 'scaffold agent sync'.
fp-backend sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Functional programming patterns for Node.js/Deno backend development using fp-ts, ReaderTaskEither, and functional dependency injection
fp-taskeither-ref sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Quick reference for TaskEither. Use when user needs async error handling, API calls, or Promise-based operations that can fail.
frontend-architecture sickn33/antigravity-awesome-skills · score 75/100 (grade C)
A portable, framework-agnostic architecture style for any React or React Native frontend. Organizes apps into feature modules with page/screen directories, a strict server-state vs UI-state split, barrel-only cross-module imports, co-located styles, and clear component-promotion rules.
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-backup-dr google/skills · score 75/100 (grade C)
Configures Backup for GKE: the BackupRestore cluster addon, BackupPlan and RestorePlan resources, restore workflows, and CMEK-encrypted backups. Use for backup policies, disaster recovery, or GKE cluster restores. Don't use for database backups.
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.
global-chat-agent-discovery sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Discover and compare MCP servers and AI agents using Global Chat's cross-protocol directory and MCP server.
go-mcp-server-generator github/awesome-copilot · score 75/100 (grade C)
Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.
huggingface-datasets sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Use this skill for Hugging Face Dataset Viewer API workflows that fetch
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.
manifest sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Install and configure the Manifest observability plugin for your agents. Use when setting up telemetry, configuring API keys, or troubleshooting the plugin.
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).
mcp-dependency-review affaan-m/ECC · score 75/100 (grade C)
Statically review MCP configuration for mutable package references before approval or CI, without executing discovered MCP servers. Use when reviewing .mcp.json, Cursor, VS Code, Claude, Windsurf, or other repo-scoped MCP config.
mcp-dependency-review affaan-m/everything-claude-code · score 75/100 (grade C)
Statically review MCP configuration for mutable package references before approval or CI, without executing discovered MCP servers. Use when reviewing .mcp.json, Cursor, VS Code, Claude, Windsurf, or other repo-scoped MCP config.
nature-polishing Galaxy-Dawn/claude-scholar · score 75/100 (grade C)
Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.
odoo-woocommerce-bridge sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Sync Odoo with WooCommerce: products, inventory, orders, and customers via WooCommerce REST API and Odoo external API.
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.
postgres-best-practices sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
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)
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.
security-audit sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Comprehensive security auditing workflow covering web application testing, API security, penetration testing, vulnerability scanning, and security hardening.
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.
server-side-conversion-tracking github/awesome-copilot · score 75/100 (grade C)
Set up server-side conversion tracking so purchases are reported accurately to Facebook, TikTok, Google and Bing despite iOS restrictions, ad blockers and cookie loss. Use when conversions are under-reported, when platform-reported purchases do not match real orders, when asked about Conversions API / Events API / offline conversions / CAPI, click id passthrough (fbclid, ttclid, gclid, msclkid), or when ad optimization has degraded after tracking changes.
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.
spline-3d-integration sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Use when adding interactive 3D scenes from Spline.design to web projects, including React embedding and runtime control API.
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.
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.
typespec-create-api-plugin github/awesome-copilot · score 75/100 (grade C)
Generate a TypeSpec API plugin with REST operations, authentication, and Adaptive Cards for Microsoft 365 Copilot
using-neon sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Neon is a serverless Postgres platform that separates compute and storage to offer autoscaling, branching, instant restore, and scale-to-zero. It's fully compatible with Postgres and works with any language, framework, or ORM that supports Postgres.
wordpress sickn33/antigravity-awesome-skills · score 75/100 (grade C)
WordPress development workflow covering theme development, plugin creation, WooCommerce integration, performance optimization, and security hardening. Includes WordPress 7.0 features: Real-Time Collaboration, AI Connectors, Abilities API, DataViews, and PHP-only blocks.
agent-runtime-gateway-smoke-test affaan-m/ECC · score 74/100 (grade C)
Verify a local agent API, temporary gateway tunnel, and remote sandbox callback with a tool-free task, then restore the original app connection.
agent-runtime-gateway-smoke-test affaan-m/everything-claude-code · score 74/100 (grade C)
Verify a local agent API, temporary gateway tunnel, and remote sandbox callback with a tool-free task, then restore the original app connection.
anthropic_administrator-automation ComposioHQ/awesome-claude-skills · score 74/100 (grade C)
Automate Anthropic Admin tasks via Rube MCP (Composio): API keys, usage, workspaces, and organization management. Always search tools first for current schemas.
api-documentation-generator sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Generate comprehensive, developer-friendly API documentation from code, including endpoints, parameters, examples, and best practices
application-performance-performance-optimization sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
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.
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-clinical-databases-clinvar-lookup GPTomics/bioSkills · score 74/100 (grade C)
Queries ClinVar for variant pathogenicity classifications, ClinGen VCEP curations, and somatic-vs-germline interpretations via REST API, weekly VCF, or bulk XML. Use when determining clinical significance, triangulating conflicting interpretations, or aggregating evidence against the ACMG/AMP framework with ClinGen SVI specifications.
bullmq-specialist sickn33/antigravity-awesome-skills · score 74/100 (grade C)
BullMQ expert for Redis-backed job queues, background processing,
cc-skill-clickhouse-io sickn33/antigravity-awesome-skills · score 74/100 (grade C)
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
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.
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.
comfyui-gateway sickn33/antigravity-awesome-skills · score 74/100 (grade C)
REST API gateway for ComfyUI servers. Workflow management, job queuing, webhooks, caching, auth, rate limiting, and image delivery (URL + base64).
contract-first affaan-m/ECC · score 74/100 (grade C)
Coordinate frontend/backend or service-to-service work through one authoritative machine-checkable contract (OpenAPI, AsyncAPI, Protocol Buffers, or JSON Schema), with generated consumer types and contract-verified integration. Use when parallel consumer and provider work must evolve an API or event schema without field drift, mock/production shape mismatch, or one side silently redefining the interface.
contract-first affaan-m/everything-claude-code · score 74/100 (grade C)
Coordinate frontend/backend or service-to-service work through one authoritative machine-checkable contract (OpenAPI, AsyncAPI, Protocol Buffers, or JSON Schema), with generated consumer types and contract-verified integration. Use when parallel consumer and provider work must evolve an API or event schema without field drift, mock/production shape mismatch, or one side silently redefining the interface.
conversion-tracking coreyhaines31/marketingskills · score 74/100 (grade C)
Set up, audit, verify, or fix website conversion tracking. Use when the conversion is a form submission, booked meeting, chat, phone call, signup, or purchase; when conversions must reach Google Ads, Meta, GA4, LinkedIn, TikTok, or Microsoft Ads; when the work involves GTM tags and dataLayer events, pixels, the Conversions API (CAPI), Enhanced Conversions, server-side tagging, or gclid and fbclid capture; or when the user reports conversion problems like "conversions stopped", "double counting", "spend but no conversions", "GA4 and Google Ads don't match", or an Unverified or Inactive status. Covers lead gen and ecommerce. Always fire on confirmed success, never the submit click; verify a test conversion arrives; diagnose before changing anything; offer free and native paths alongside paid ones and disclose partner tools. For tracking plans and UTMs, see analytics. For attribution models, see attribution. For campaigns and bidding, see ads. For CRM lead-stage design, see revops.
creating-oracle-to-postgres-migration-bug-report github/awesome-copilot · score 74/100 (grade C)
Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.
customs-trade-compliance affaan-m/ECC · score 74/100 (grade C)
Codified customs and trade compliance expertise — HS/HTS tariff classification with GRI rules, commercial invoices and entry documentation, Incoterms 2020, FTA qualification and duty optimization (USMCA, RCEP, FTZs, drawback), denied-party screening, and penalty mitigation across US, EU, UK, and APAC jurisdictions. Use when classifying goods, preparing import/export documentation, screening restricted parties, responding to customs audits or CF-28/penalty notices, or optimizing duties.
customs-trade-compliance affaan-m/everything-claude-code · score 74/100 (grade C)
Codified customs and trade compliance expertise — HS/HTS tariff classification with GRI rules, commercial invoices and entry documentation, Incoterms 2020, FTA qualification and duty optimization (USMCA, RCEP, FTZs, drawback), denied-party screening, and penalty mitigation across US, EU, UK, and APAC jurisdictions. Use when classifying goods, preparing import/export documentation, screening restricted parties, responding to customs audits or CF-28/penalty notices, or optimizing duties.
data-manager-api-event-ingestion google/skills · score 74/100 (grade C)
Guides developers through implementing event and conversion ingestion to Google products using the Data Manager API /v1/events/ingest endpoint and its associated client libraries. Use this skill when the user wants to upload offline conversions, enhanced conversions for leads, click conversions, Google Analytics web or app events, or any other event ingestion use case supported by the Data Manager API. Don't use for uploading audience members (use the data-manager-api-audience-ingestion skill).
database-admin sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Expert database administrator specializing in modern cloud databases, automation, and reliability engineering.
database-architect sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Expert database architect specializing in data layer design from scratch, technology selection, schema modeling, and scalable database architectures.
database-designer alirezarezvani/claude-skills · score 74/100 (grade C)
Use when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.
firecrawl-scraper sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Deep web scraping, screenshots, PDF parsing, and website crawling using Firecrawl API. Use when you need deep content extraction from web pages, page interaction is required (clicking, scrolling, etc.), or you want screenshots or PDF parsing.
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.
genomic-intelligence K-Dense-AI/claude-scientific-skills · score 74/100 (grade C)
Predicts regulatory features, gene structure, and expression directly from DNA sequence using Genomic Intelligence's hosted transformer DNA language models — no local GPU or model weights. Six tasks over a REST API and a hosted MCP server (keyless public demo): promoter regions, splice donor/acceptor sites, enhancer activity, chromatin state, sequence-to-expression (log TPM), and de-novo gene annotation, plus a composite find-genes-then-predict-expression workflow. Use when the user has a gene symbol, a genomic region, or a DNA/FASTA sequence and wants any of these predictions, mentions Genomic Intelligence, genomicintelligence.ai, api.genomicintelligence.ai, or mcp.genomicintelligence.ai.
github sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Use the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.
gke-service-networking google/skills · score 74/100 (grade C)
Configures GKE edge networking, traffic routing, load balancing, and private service endpoints. Use when configuring Gateway API manifests, standard Ingress, Cloud Armor WAF security policies, Container-Native Load Balancing (NEGs), Private Service Connect (PSC), or Google-managed SSL certificates on GKE, and to troubleshoot Ingress and load-balancer 502/5xx errors, backend health-check failures, connection draining, and TLS/SSL policy enforcement. Don't use for core cluster IP planning, Dataplane V2 network policies, or node NAT egress (use gke-networking instead).
google-ads-api-quickstart google/skills · score 74/100 (grade C)
Guides developers through Google Ads API quickstart: credential setup, choosing from 6 client libraries/REST, configuring environments, and running a "retrieve campaigns" script. Troubleshoots common setup errors: USER_PERMISSION_DENIED, login_customer_id issues, and DEVELOPER_TOKEN_NOT_APPROVED. Use this skill when: - The user asks how to get started with the Google Ads API. - The user needs to set up Google Ads credentials or developer tokens. - The user wants to write a quickstart/example script for Google Ads. - The user encounters errors like USER_PERMISSION_DENIED or DEVELOPER_TOKEN_NOT_APPROVED.
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.
healthcare-job-search sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Find open US healthcare jobs (nursing, CNA, allied health, therapy, imaging, pharmacy, physicians) and the hourly pay employers post, via CareJobs.Now's free MCP server or JSON endpoints.
impeccable pbakaus/impeccable · score 74/100 (grade C)
Use when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.
inngest sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Inngest expert for serverless-first background jobs, event-driven
instagram sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Integracao completa com Instagram via Graph API. Publicacao, analytics, comentarios, DMs, hashtags, agendamento, templates e gestao de contas Business/Creator.
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.
migration-architect alirezarezvani/claude-skills · score 74/100 (grade C)
Zero-downtime migration planning, compatibility validation, and rollback strategy generation. Tools for system, database, and infrastructure migrations with minimal business impact. Use when planning a database migration, infrastructure cutover, system replacement, or any high-risk transition that needs explicit rollback paths.
moodle-external-api-development sickn33/antigravity-awesome-skills · score 74/100 (grade C)
This skill guides you through creating custom external web service APIs for Moodle LMS, following Moodle's external API framework and coding standards.
music elevenlabs/skills · score 74/100 (grade C)
Generate music using ElevenLabs Music API. Use when creating instrumental tracks, songs with lyrics, background music, jingles, or any AI-generated music composition. Supports prompt-based generation, composition plans for granular control, and detailed output with metadata.
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.
nestjs-expert sickn33/antigravity-awesome-skills · score 74/100 (grade C)
You are an expert in Nest.js with deep knowledge of enterprise-grade Node.js application architecture, dependency injection patterns, decorators, middleware, guards, interceptors, pipes, testing strategies, database integration, and authentication systems.
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.
onesignal_rest_api-automation ComposioHQ/awesome-claude-skills · score 74/100 (grade C)
Automate OneSignal tasks via Rube MCP (Composio): push notifications, segments, templates, and messaging. Always search tools first for current schemas.
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.
php-mcp-server-generator github/awesome-copilot · score 74/100 (grade C)
Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK
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.
placecall sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Place real outbound phone calls to US businesses through the PlaceCall API: book, ask, get quotes, then read the outcome and transcript.
postgresql-optimization sickn33/antigravity-awesome-skills · score 74/100 (grade C)
PostgreSQL database optimization workflow for query tuning, indexing strategies, performance analysis, and production database management.
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.
revops coreyhaines31/marketingskills · score 74/100 (grade C)
When the user wants help with revenue operations, lead lifecycle management, or marketing-to-sales handoff processes. Also use when the user mentions 'RevOps,' 'revenue operations,' 'lead scoring,' 'outbound pipeline stages,' 'lead routing,' 'MQL,' 'SQL,' 'pipeline stages,' 'deal desk,' 'CRM automation,' 'marketing-to-sales handoff,' 'data hygiene,' 'leads aren't getting to sales,' 'pipeline management,' 'lead qualification,' or 'when should marketing hand off to sales.' Use this for anything involving the systems and processes that connect marketing to revenue. For cold outreach emails, see cold-email. For email drip campaigns, see emails. For pricing decisions, see pricing.
secret-scanning github/awesome-copilot · score 74/100 (grade C)
Guide for configuring and managing GitHub secret scanning, push protection, custom patterns, and secret alert remediation. For pre-commit secret scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when enabling secret scanning, setting up push protection, defining custom patterns, triaging alerts, resolving blocked pushes, or when an agent needs to scan code for secrets before committing.
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.
sponsor-finder github/awesome-copilot · score 74/100 (grade C)
Find which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive dependencies with OSSF Scorecard health data. Invoke with /sponsor followed by a GitHub owner/repo (e.g. "/sponsor expressjs/express").
sql-injection-testing sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Execute comprehensive SQL injection vulnerability assessments on web applications to identify database security flaws, demonstrate exploitation techniques, and validate input sanitization mechanisms.
takeout-coupon sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Call takeout coupon API to fetch hidden coupon lists, red packets and aggregated redemption pages for platforms (Meituan, Taobao Flash/Ele.me, JD.com). Returns coupon codes and redemption instructions for users to copy and redeem in corresponding apps.
tldr-prompt github/awesome-copilot · score 74/100 (grade C)
Create tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.
upstash-redis github/awesome-copilot · score 74/100 (grade C)
Use Redis over HTTP from serverless and edge runtimes with @upstash/redis, and add rate limiting with @upstash/ratelimit. Use when the user mentions Upstash Redis, needs Redis from a Next.js route handler or middleware, Vercel, Cloudflare Workers, Deno, or Bun without TCP connection pooling, or wants cache-aside with TTLs, a session store, counters, or a 429 rate limiter using fixed window, sliding window, or token bucket. DO NOT use for self-hosted or TCP Redis clients (ioredis, node-redis), Redis Cluster administration, or vector similarity search.
360-feedback-system sickn33/antigravity-awesome-skills · score 73/100 (grade C)
360 feedback register: reviewer, subject, review cycle, visibility, due date and score, as CSV, SQL, JSON Schema or Notion on request. Use for 360 reviews or peer feedback cycles.
agent-platform-rag-engine-management google/skills · score 73/100 (grade C)
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or generating content grounded in a RAG corpus. Do not use for standard database queries (use SQL/Spanner skills), Google Workspace RAG, or other RAG products like gRAG.
alloydb-basics google/skills · score 73/100 (grade C)
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB Model Context Protocol (MCP) tools for automated database operations. Use when creating, configuring, or administering AlloyDB databases. Do NOT use for general PostgreSQL instances (e.g. Cloud SQL) or other GCP databases.
api-and-interface-design addyosmani/agent-skills · score 73/100 (grade C)
Guides stable API and interface design. Use when designing APIs, module boundaries, or any public interface. Use when creating REST or GraphQL endpoints, defining type contracts between modules, or establishing boundaries between frontend and backend.
asset-it-management sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Asset and IT register: serial, model, condition, assignee, location, purchase value, warranty expiry and return date, as CSV, SQL, JSON Schema or Notion on request. Use for asset audits.
aws-serverless sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Specialized skill for building production-ready serverless
backend-architect sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems.
baoyu-danger-x-to-markdown JimLiu/baoyu-skills · score 73/100 (grade C)
Converts X (Twitter) tweets and articles to markdown with YAML front matter. Uses reverse-engineered API requiring user consent. Use when user mentions "X to markdown", "tweet to markdown", "save tweet", or provides x.com/twitter.com URLs for conversion.
baoyu-post-to-wechat JimLiu/baoyu-skills · score 73/100 (grade C)
Posts content to WeChat Official Account (微信公众号) via API or Chrome CDP. Supports article posting (文章) with HTML, markdown, or plain text input, and image-text posting (贴图, formerly 图文) with multiple images. Markdown article workflows default to converting ordinary external links into bottom citations for WeChat-friendly output. Use when user mentions "发布公众号", "post to wechat", "微信公众号", or "贴图/图文/文章".
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-pathway-reactome GPTomics/bioSkills · score 73/100 (grade C)
Tests a gene list or ranked gene vector for over-representation or coordinated shifts in Reactome's curated, peer-reviewed, reaction-level pathways using ReactomePA's enrichPathway (ORA) and gsePathway (GSEA), reading the local reactome.db so a run is reproducible given the Bioconductor release. Covers why Reactome's atomic unit is the REACTION and pathways are nested containers so a parent and child enrich on the same genes and double-count one signal, why only human is curated and every other species is orthology-inferred, why enrichPathway has NO keyType argument and returns nothing unless genes are ENTREZ (bitr first), and why viewPathway draws a LOCAL reaction network from a pathway NAME. Use when reaction-level granularity, peer-reviewed curation, or an offline-reproducible database is wanted; for comparative multi-sample or multi-omics analysis use ReactomeGSA. The DE list comes from differential-expression; plots from enrichment-visualization.
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.
claude-monitor sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Monitor de performance do Claude Code e sistema local. Diagnostica lentidao, mede CPU/RAM/disco, verifica API latency e gera relatorios de saude do sistema.
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-to-prd alirezarezvani/claude-skills · score 73/100 (grade C)
Reverse-engineer any codebase into a complete Product Requirements Document (PRD). Analyzes routes, components, state management, API integrations, and user interactions to produce business-readable documentation detailed enough for engineers or AI agents to fully reconstruct every page and endpoint. Works with frontend frameworks (React, Vue, Angular, Svelte, Next.js, Nuxt), backend frameworks (NestJS, Django, Express, FastAPI), and fullstack applications. Use when users mention: generate PRD, reverse-engineer requirements, code to documentation, extract product specs from code, document page logic, analyze page fields and interactions, create a functional inventory, write requirements from an existing codebase, document API endpoints, or analyze backend routes.
conductor-manage sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Manage track lifecycle: archive, restore, delete, rename, and cleanup
context-manager sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems.
context7-auto-research sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Automatically fetch latest library/framework documentation for Claude Code via Context7 API. Use when you need up-to-date documentation for libraries and frameworks or asking about React, Next.js, Prisma, or any other popular library.
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.
database sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Database development and operations workflow covering SQL, NoSQL, database design, migrations, optimization, and data engineering.
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.
exa-search sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Semantic search, similar content discovery, and structured research using Exa API. Use when you need semantic/embeddings-based search, finding similar content, or searching by category (company, people, research papers, etc.).
faf-expert sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Advanced .faf (Foundational AI-context Format) specialist. IANA-registered format, MCP server config, championship scoring, bi-directional sync.
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.
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.
gke-inference google/skills · score 73/100 (grade C)
Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on GKE. Don't use for migrating existing AI workloads to GKE (use google-cloud-solution-guided-gke-ai-migration), GKE RAG with Cloud SQL/AlloyDB (use google-cloud-solution-rag-enterprise-search-gke-sqldb), or batch/HPC (use gke-batch-hpc).
google-cloud-networking-observability google/skills · score 73/100 (grade C)
Investigates Google Cloud networking issues by analyzing GCP logs, metrics, and diagnostics. Use when investigating dropped network traffic, packet drops, drop reasons, VPC Flow Logs (including Private Service Connect / PSC, serverless / App Engine Direct VPC, and cost estimation), NAT, firewall, or threat logs, querying latency and throughput metrics, or running Connectivity Tests for path diagnostics. Don't use for generic VM management or non-observability tasks.
google-cloud-waf-cost-optimization google/skills · score 73/100 (grade C)
Evaluates Google Cloud workloads for cost efficiency and FinOps alignment using the Google Cloud Well-Architected Framework Cost Optimization pillar. Use when the user asks to analyze Google Cloud spend, reduce cloud bills, rightsize resources (for example, Compute, GKE, Storage, Databases), evaluate discount options (for example, CUDs, SUDs, Spot VMs), or eliminate idle capacity. Do not use for standalone product pricing lookups or non-cost architecture design.
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.
ito-inference affaan-m/ECC · score 73/100 (grade C)
Inspect the availability of model serving on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed serving manifest. Use after ito-compute has booked GPU nodes and the user asks for an OpenAI-compatible endpoint, ito-serve, hosted Kimi, or self-hosted open-weights inference. ECC implements no serving stack of its own.
ito-inference affaan-m/everything-claude-code · score 73/100 (grade C)
Inspect the availability of model serving on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed serving manifest. Use after ito-compute has booked GPU nodes and the user asks for an OpenAI-compatible endpoint, ito-serve, hosted Kimi, or self-hosted open-weights inference. ECC implements no serving stack of its own.
kotlin-mcp-server-generator github/awesome-copilot · score 73/100 (grade C)
Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io.modelcontextprotocol:kotlin-sdk library.
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.
llm-ops sickn33/antigravity-awesome-skills · score 73/100 (grade C)
LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.
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.
mcp-integration Galaxy-Dawn/claude-scholar · score 73/100 (grade C)
This skill should be used when the user asks to "add MCP server", "integrate MCP", "configure MCP in plugin", "use .mcp.json", "set up Model Context Protocol", "connect external service", mentions "${CLAUDE_PLUGIN_ROOT} with MCP", or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
namecheap github/awesome-copilot · score 73/100 (grade C)
Manage DNS records for domains registered with Namecheap via their API. List domains, view/add/update/remove DNS host entries (A, AAAA, CNAME, MX, TXT, etc.), and guide users through API setup including public IP detection and credential configuration. Use when the user mentions Namecheap, DNS records, domain management, or wants to add/change/remove A records, CNAME records, MX records, or TXT records for their domains.
nature-data Galaxy-Dawn/claude-scholar · score 73/100 (grade C)
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts. Use when the user asks about Nature data availability, research data sharing, repository selection, accession numbers, restricted or sensitive data, source data, supplementary datasets, DataCite-style dataset references, FAIR metadata for academic publication, or Chinese-to-English data availability wording for Chinese-speaking authors preparing Nature-family submissions.
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.
not-human-search-mcp sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Search AI-ready websites, inspect indexed site details, verify MCP endpoints, and discover tools and APIs using the Not Human Search MCP server
odoo-backup-strategy sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Complete Odoo backup and restore strategy: database dumps, filestore backup, automated scheduling, cloud storage upload, and tested restore procedures.
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.
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.
prisma-expert sickn33/antigravity-awesome-skills · score 73/100 (grade C)
You are an expert in Prisma ORM with deep knowledge of schema design, migrations, query optimization, relations modeling, and database operations across PostgreSQL, MySQL, and SQLite.
protobuf-grpc-api-review github/awesome-copilot · score 73/100 (grade C)
Review Protocol Buffer (.proto) and gRPC API changes for wire and JSON compatibility, safe schema evolution, rollout hazards, and RPC contract quality. Use when reviewing proto diffs, adding or changing messages and services, planning migrations, or diagnosing cross-version failures.
quarkus-dev-services-and-testing github/awesome-copilot · score 73/100 (grade C)
Quarkus Dev Services and testing: zero-config containers, @QuarkusTest, @QuarkusIntegrationTest, test resources, RestAssured, @InjectMock, profiles and continuous testing. Use when writing or fixing tests in a Quarkus project.
react-best-practices sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Comprehensive performance optimization guide for React and Next.js applications, adapted from Vercel’s published guidance. Use when writing new React components or Next.js pages, implementing data fetching (client or server-side), or reviewing code for performance issues.
reviewing-oracle-to-postgres-migration github/awesome-copilot · score 73/100 (grade C)
Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting/collations, UNION ALL planner risks, materialized-view refresh requirements, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.
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.
sendblue-api sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Send and receive iMessage, SMS, and RCS from application code via the Sendblue HTTP API — text, media, group messages, send styles, reactions, typing indicators, status callbacks, and inbound webhooks.
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.
sql-database-assistant alirezarezvani/claude-skills · score 73/100 (grade C)
Use when the user asks to write SQL queries, optimize database performance, generate migrations, explore database schemas, or work with ORMs like Prisma, Drizzle, TypeORM, or SQLAlchemy.
sql-pro sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Master modern SQL with cloud-native databases, OLTP/OLAP optimization, and advanced query techniques. Expert in performance tuning, data modeling, and hybrid analytical systems.
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
upstash-qstash sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Upstash QStash expert for serverless message queues, scheduled
vector-database-engineer sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar
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).
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.
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-ml-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.
api-bible-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate API Bible tasks via Rube MCP (Composio). Always search tools first for current schemas.
api-labz-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate API Labz tasks via Rube MCP (Composio). Always search tools first for current schemas.
api-ninjas-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate API Ninjas tasks via Rube MCP (Composio). Always search tools first for current schemas.
api-sports-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate API Sports tasks via Rube MCP (Composio). Always search tools first for current schemas.
asin-data-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Asin Data API tasks via Rube MCP (Composio). Always search tools first for current schemas.
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.
automation-audit-ops affaan-m/ECC · score 72/100 (grade C)
Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.
automation-audit-ops affaan-m/everything-claude-code · score 72/100 (grade C)
Evidence-first automation inventory and overlap audit workflow for ECC. Use when the user wants to know which jobs, hooks, connectors, MCP servers, or wrappers are live, broken, redundant, or missing before fixing anything.
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.
backendless-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Backendless tasks via Rube MCP (Composio). Always search tools first for current schemas.
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.
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-conformer-generation GPTomics/bioSkills · score 72/100 (grade C)
Generates 3D conformer ensembles using RDKit ETKDGv3 with knowledge-enhanced distance geometry, MMFF94/UFF force-field optimization, CREST + GFN2-xTB semi-empirical refinement, and macrocycle-aware torsion preferences. Provides explicit decision rules for single vs ensemble conformer use, RMSD pruning, energy windows, conformer count, and force-field choice. Use when preparing 3D ligands for docking, generating descriptor input for 3D QSAR, or sampling macrocycle/peptide conformational ensembles.
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.
boost-asio-pro alirezarezvani/claude-skills · score 72/100 (grade C)
Use when writing or reviewing asynchronous C++ networking code with Boost.Asio or standalone Asio — TCP/UDP servers and clients, SSL/TLS, timers, strands, io_context, co_spawn, awaitable, async_read/async_write, asio::spawn, yield_context, or pre-C++20 completion-handler callbacks.
btcpay-server-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Btcpay Server tasks via Rube MCP (Composio). Always search tools first for current schemas.
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.
cloudflare-api-key-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Cloudflare API tasks via Rube MCP (Composio). Always search tools first for current schemas.
contentful-graphql-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Contentful Graphql tasks via Rube MCP (Composio). Always search tools first for current schemas.
context-engine alirezarezvani/claude-skills · score 72/100 (grade C)
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (older than 90 days), enriches context during conversations, and enforces privacy/anonymization rules before external API calls. Use when starting any C-suite advisor session, when context looks stale or missing, or before sending company data to an external service.
context-restore garrytan/gstack · score 72/100 (grade C)
Restore working context saved earlier by /context-save. (gstack)
countdown-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Countdown API tasks via Rube MCP (Composio). Always search tools first for current schemas.
create-readonly-db-role davidondrej/skills · score 72/100 (grade C)
Set up read-only PostgreSQL access for agents. Use only when the user explicitly invokes /create-readonly-db-role.
currents-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Currents API tasks via Rube MCP (Composio). Always search tools first for current schemas.
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.
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.
dictionary-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Dictionary API tasks via Rube MCP (Composio). Always search tools first for current schemas.
discord-reader himself65/finance-skills · score 72/100 (grade C)
Read Discord for financial research through opencli connected to the Discord desktop app: servers, channels, members, recent messages in the active channel, and message search. Use this skill whenever the user wants to check their Discord, list servers or channels, read or search messages in trading, crypto, or market communities, or gauge what a Discord community is saying about a ticker or coin. Read-only: it cannot send, react to, edit, or delete messages.
django-tdd affaan-m/ECC · score 72/100 (grade C)
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs. Use when writing Django or DRF tests with pytest-django, or driving a Django feature test-first.
django-tdd affaan-m/everything-claude-code · score 72/100 (grade C)
Django testing strategies with pytest-django, TDD methodology, factory_boy, mocking, coverage, and testing Django REST Framework APIs. Use when writing Django or DRF tests with pytest-django, or driving a Django feature test-first.
documentation-templates sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Documentation templates and structure guidelines. README, API docs, code comments, and AI-friendly documentation.
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.
fidel-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Fidel API tasks via Rube MCP (Composio). Always search tools first for current schemas.
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
gender-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Gender API tasks via Rube MCP (Composio). Always search tools first for current schemas.
googlebigquery-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Google BigQuery tasks via Rube MCP (Composio): run SQL queries, explore datasets and metadata, execute MBQL queries via Metabase integration. Always search tools first for current schemas.
hook-development Galaxy-Dawn/claude-scholar · score 72/100 (grade C)
This skill should be used when the user asks to "create a hook", "add a PreToolUse/PostToolUse/Stop hook", "validate tool use", "implement prompt-based hooks", "use ${CLAUDE_PLUGIN_ROOT}", "set up event-driven automation", "block dangerous commands", or mentions hook events (PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification). Provides comprehensive guidance for creating and implementing Claude Code plugin hooks with focus on advanced prompt-based hooks API.
imaging-data-commons K-Dense-AI/claude-scientific-skills · score 72/100 (grade C)
Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations. Uses public metadata and download routes without authentication; optional BigQuery and Google Healthcare routes require Google credentials.
marketing-demand-acquisition alirezarezvani/claude-skills · score 72/100 (grade C)
Creates demand generation campaigns, optimizes paid ad spend across LinkedIn, Google, and Meta, develops SEO strategies, and structures partnership programs. Use when planning demand gen strategy, growth marketing, advertising campaigns, PPC optimization, lead generation, pipeline generation, or marketing budgets. Covers multi-channel acquisition (Google Ads, LinkedIn Ads, Meta Ads), CAC analysis, MQL/SQL workflows, attribution modeling, technical SEO, and co-marketing partnerships. Default calibration profile is a Series A+ B2B SaaS scaling internationally (EU/US/Canada, hybrid PLG/Sales-Led) — adapt benchmarks for other stages and motions rather than skipping the skill.
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.
minecraft-bukkit-pro sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Master Minecraft server plugin development with Bukkit, Spigot, and Paper APIs.
news-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate News API tasks via Rube MCP (Composio). Always search tools first for current schemas.
obsidian-bases kepano/obsidian-skills · score 72/100 (grade C)
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
odoo-performance-tuner sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Expert guide for diagnosing and fixing Odoo performance issues: slow queries, worker configuration, memory limits, PostgreSQL tuning, and profiling tools.
onesignal-rest-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate OneSignal tasks via Rube MCP (Composio). Always search tools first for current schemas.
openapi-spec-generation sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.
openweather-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Openweather API tasks via Rube MCP (Composio). Always search tools first for current schemas.
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.
pdf-api-io-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate PDF API IO tasks via Rube MCP (Composio). Always search tools first for current schemas.
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.
qa garrytan/gstack · score 72/100 (grade C)
Fix browser/API/CLI/job/worker/webhook bugs. (gstack)
quarkus-application-development github/awesome-copilot · score 72/100 (grade C)
Write Quarkus application code: REST with Quarkus REST, validation, exception mappers, OpenAPI, configuration, CDI (ArC), Hibernate ORM with Panache, Mutiny and virtual threads, Reactive Messaging with Kafka, OIDC security, health, metrics, OpenTelemetry, fault tolerance, REST Client, scheduler and cache. Use when implementing or changing features in an existing Quarkus project.
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.
react-patterns affaan-m/ECC · score 72/100 (grade C)
React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.
react-patterns affaan-m/everything-claude-code · score 72/100 (grade C)
React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.
react-state-management sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Master modern React state management with Redux Toolkit, Zustand, Jotai, and React Query. Use when setting up global state, managing server state, or choosing between state management solutions.
redis-patterns affaan-m/ECC · score 72/100 (grade C)
Redis data structure patterns, caching strategies, distributed locks, rate limiting, pub/sub, and connection management for production applications. Use when adding caching, a distributed lock, rate limiting, or pub/sub with Redis, or when key design needs review.
redis-patterns affaan-m/everything-claude-code · score 72/100 (grade C)
Redis data structure patterns, caching strategies, distributed locks, rate limiting, pub/sub, and connection management for production applications. Use when adding caching, a distributed lock, rate limiting, or pub/sub with Redis, or when key design needs review.
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-scan affaan-m/ECC · score 72/100 (grade C)
Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions. Use when auditing a .claude/ directory — CLAUDE.md, settings.json, MCP servers, hooks, or agent definitions.
security-scan affaan-m/everything-claude-code · score 72/100 (grade C)
Scan your Claude Code configuration (.claude/ directory) for security vulnerabilities, misconfigurations, and injection risks using AgentShield. Checks CLAUDE.md, settings.json, MCP servers, hooks, and agent definitions. Use when auditing a .claude/ directory — CLAUDE.md, settings.json, MCP servers, hooks, or agent definitions.
shorten-rest-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Shorten Rest tasks via Rube MCP (Composio). Always search tools first for current schemas.
similarweb-digitalrank-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate SimilarWeb tasks via Rube MCP (Composio). Always search tools first for current schemas.
sslmate-cert-spotter-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Sslmate Cert Spotter API tasks via Rube MCP (Composio). Always search tools first for current schemas.
ssma-console github/awesome-copilot · score 72/100 (grade C)
Use when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migration
stripe-integration sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Implement and verify Stripe checkout, subscriptions, webhooks and refunds with explicit server-side authorization and retry boundaries.
tavily-web sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Web search, content extraction, crawling, and research capabilities using Tavily API. Use when you need to search the web for current information, extracting content from URLs, or crawling websites.
the-odds-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate The Odds API tasks via Rube MCP (Composio). Always search tools first for current schemas.
tripadvisor-content-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate TripAdvisor tasks via Rube MCP (Composio). Always search tools first for current schemas.
wolfram-alpha-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Wolfram Alpha API tasks via Rube MCP (Composio). Always search tools first for current schemas.
wordpress-plugin-development sickn33/antigravity-awesome-skills · score 72/100 (grade C)
WordPress plugin development workflow covering plugin architecture, hooks, admin interfaces, REST API, security best practices, and WordPress 7.0 features: Real-Time Collaboration, AI Connectors, Abilities API, DataViews, and PHP-only blocks.
zyte-api-automation ComposioHQ/awesome-claude-skills · score 72/100 (grade C)
Automate Zyte API tasks via Rube MCP (Composio). Always search tools first for current schemas.
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.
ai-regression-testing affaan-m/ECC · score 71/100 (grade C)
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.
ai-regression-testing affaan-m/everything-claude-code · score 71/100 (grade C)
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.
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-pricing github/awesome-copilot · score 71/100 (grade C)
Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.
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-pathway-kegg-pathways GPTomics/bioSkills · score 71/100 (grade C)
Tests gene lists, ranked vectors, and fold-change vectors against KEGG pathways and modules with clusterProfiler enrichKEGG/enrichMKEGG (ORA), gseKEGG (GSEA), and SPIA/graphite (signed-topology perturbation) in R. Owns the third pathway-analysis generation because KEGG ships signed directed signaling topology (KGML). Covers why a KEGG result is a timestamped join against a live REST API (irreproducible unless pinned with a gson snapshot, not the stale 2012 KEGG.db), why enrichKEGG keyType is kegg/ncbi-geneid not OrgDb ENSEMBL/SYMBOL (zero hits), why organism is a KEGG code (hsa, pae) with prokaryotic locus tags, and why SPIA works only on signaling maps. Use when finding enriched KEGG pathways or modules, scoring signed pathway perturbation, analyzing prokaryotes or non-model organisms via locus tags or KO, comparing conditions with compareCluster, or overlaying data with pathview. The hypergeometric universe lives in go-enrichment; the GSEA engine in gsea.
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-splicing-pipeline GPTomics/bioSkills · score 71/100 (grade C)
Orchestrates the end-to-end bulk short-read alternative-splicing pipeline from FASTQ to differential splicing, chaining fastp QC, cohort-consistent STAR 2-pass alignment (one shared junction DB), junction QC, event-level differential splicing (rMATS-turbo + leafcutter, optional MAJIQ V3), parallel isoform-level DTU (Salmon -> tximport dtuScaledTPM -> DRIMSeq/DEXSeq -> stageR), and sashimi visualization. Use when committing the annotation GTF and a shared 2-pass junction database for the whole cohort, keeping the analysis at splice-aware resolution (never collapsing to gene), choosing event-level vs isoform-level DTU and reconciling them, applying the stageR two-stage gene->transcript FDR, or off-ramping to splice-variant / outlier / long-read / single-cell splicing. Hands mechanism to the alternative-splicing component skills; not a re-teach of any single step.
change-impact affaan-m/ECC · score 71/100 (grade C)
Perform evidence-backed impact analysis before changing code, data, interfaces, or governance documents, then compare the planned impact with the actual diff after implementation. Covers call paths, data and schema, API contracts, tests, documentation, ADRs, deployment, migration, and rollback. Use for cross-module or high-risk changes, database migrations, authentication, public interfaces, blast-radius questions, pre-change checks, and post-implementation alignment.
change-impact affaan-m/everything-claude-code · score 71/100 (grade C)
Perform evidence-backed impact analysis before changing code, data, interfaces, or governance documents, then compare the planned impact with the actual diff after implementation. Covers call paths, data and schema, API contracts, tests, documentation, ADRs, deployment, migration, and rollback. Use for cross-module or high-risk changes, database migrations, authentication, public interfaces, blast-radius questions, pre-change checks, and post-implementation alignment.
cloud-trace-querying google/skills · score 71/100 (grade C)
Query Cloud Trace spans, filter by latency thresholds or error status, correlate distributed traces with Cloud Logging, and diagnose latency bottlenecks across Google Cloud services. Use when investigating slow requests, analyzing trace hierarchies, or resolving latency regressions. Do NOT use for querying non-GCP telemetry or database query optimization outside Cloud Trace.
code-documentation bytedance/deer-flow · score 71/100 (grade C)
Use this skill when the user requests to generate, create, or improve documentation for code, APIs, libraries, repositories, or software projects. Supports README generation, API reference documentation, inline code comments, architecture documentation, changelog generation, and developer guides. Trigger on requests like "document this code", "create a README", "generate API docs", "write developer guide", or when analyzing codebases for documentation purposes.
code-documentation-doc-generate sickn33/antigravity-awesome-skills · score 71/100 (grade C)
You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
config-gc affaan-m/ECC · score 71/100 (grade C)
Garbage collection for your Claude Code configuration. Periodically scans ~/.claude (skills, memory, hooks, permissions, MCP servers, caches) for redundant, stale, orphaned, or low-value items, then walks the user through a confirm-each-deletion cleanup. Use when the user says "clean up my config", "config GC", "too many skills", "audit my setup", "my .claude is bloated", or asks for a periodic config review.
config-gc affaan-m/everything-claude-code · score 71/100 (grade C)
Garbage collection for your Claude Code configuration. Periodically scans ~/.claude (skills, memory, hooks, permissions, MCP servers, caches) for redundant, stale, orphaned, or low-value items, then walks the user through a confirm-each-deletion cleanup. Use when the user says "clean up my config", "config GC", "too many skills", "audit my setup", "my .claude is bloated", or asks for a periodic config review.
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",...}).
data-manager-api-setup google/skills · score 71/100 (grade C)
Guides developers through client library installation and authentication setup steps for the Data Manager API. Use this skill when a user is getting started with the Data Manager API and needs to setup their local environment, install the client library, or setup access to the API. Don't use for implementing audience or event ingestion logic (use the data-manager-api-audience-ingestion or data-manager-api-event-ingestion skills instead).
documentation-generation-doc-generate sickn33/antigravity-awesome-skills · score 71/100 (grade C)
You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
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).
dubbing elevenlabs/skills · score 71/100 (grade C)
Dub audio and video into other languages using the ElevenLabs Dubbing API (dubbing_v2), preserving the original speakers' voices. Use when translating videos, podcasts, or recordings into other languages, localizing media content, reviewing or correcting dubbing transcripts and translations, or regenerating a dub after edits.
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.
firebase sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Firebase gives you a complete backend in minutes - auth, database,
frontend-api-integration-patterns sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Production-ready patterns for integrating frontend applications with backend APIs, including race condition handling, request cancellation, retry strategies, error normalization, and UI state management.
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-image github/awesome-copilot · score 71/100 (grade C)
Generate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.
gke-workload-security google/skills · score 71/100 (grade C)
Audits, configures, and hardens workload-level security controls for Google Kubernetes Engine (GKE) applications and namespaces. Covers running security audits (`audit_cluster.sh`), enforcing Network Policies (default-deny and Dataplane V2 logging), isolating high-risk pods inside GKE Sandbox (`gVisor`), enforcing Pod Security Standards (`restricted` labeling) and pod securityContext, and mounting Secret Manager secrets via CSI (`SecretProviderClass`). Use when auditing workload security posture, isolating namespaces, applying pod security standards, or configuring network policies and secret volume mounts. Don't use for Workload Identity (use gke-workload-identity), cluster-wide control plane security, RBAC hardening, Binary Authorization, Shielded Nodes, or enabling platform-level GKE add-ons (use gke-platform-security instead).
google-ads-api-mcp-setup google/skills · score 71/100 (grade C)
Guides developers through downloading, configuring, and installing the official open-source Google Ads MCP Server. Use this skill when a user wants to connect their AI assistant (such as Gemini, Claude Code, or Cursor) to their Google Ads account to query campaigns or retrieve reporting metrics using natural language.
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.
graphql sickn33/antigravity-awesome-skills · score 71/100 (grade C)
GraphQL gives clients exactly the data they need - no more, no
hyperliquid-reader himself65/finance-skills · score 71/100 (grade C)
Read Hyperliquid (app.hyperliquid.xyz) perp and spot market data through opencli and Hyperliquid's public info API: mark, oracle, and mid prices, 24h change, funding rates (hourly and annualized APR), open interest, volume, the L2 order book, OHLCV candles, funding history, and cross-venue funding comparisons (Hyperliquid vs Binance vs Bybit) for funding arbitrage. Use this skill whenever the user mentions Hyperliquid (HL, HL DEX, hyperliquid.xyz) or asks about its perps, spot pairs such as PURR, funding, open interest, order book, or candles. Read-only market data: no account, order, or transfer operations.
ito-training affaan-m/ECC · score 71/100 (grade C)
Inspect the availability of ML training on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed training manifest. Use after ito-compute has booked GPU nodes and the user wants pre-training, fine-tuning, or RL on that metal. ECC implements no training stack of its own.
ito-training affaan-m/everything-claude-code · score 71/100 (grade C)
Inspect the availability of ML training on a completed Itô compute booking and, when the canonical backend becomes available, hand off an explicitly confirmed training manifest. Use after ito-compute has booked GPU nodes and the user wants pre-training, fine-tuning, or RL on that metal. ECC implements no training stack of its own.
java-mcp-server-generator github/awesome-copilot · score 71/100 (grade C)
Use this skill when the user wants to create a Model Context Protocol (MCP) server in Java or in a Spring Boot app. Also use it when the user wants AI agents, such as GitHub Copilot or Claude, to use Java code, an API, or a database. Use it even if the user does not say "MCP". The skill makes a Maven or Gradle project with the MCP Java SDK 2.x, tools, JUnit tests, and client configuration. Do not use it for Quarkus/Quarkiverse MCP servers (use the `quarkus-mcp-server-sse` instruction), for an MCP client or for a server in another language.
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.
mercury-mcp sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Cheatsheet for the Mercury (proton) MCP tools. Use when connected to the Mercury MCP server to look up which mercury_* tool to call for messaging teammates, threads, tasks, automations, or admin team-graph edits.
minimalist-ui sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Use when creating clean editorial interfaces with warm monochrome palettes, crisp borders, restrained motion, and flat bento layouts.
mysql-patterns affaan-m/ECC · score 71/100 (grade C)
MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends. Use when designing MySQL or MariaDB schemas and indexes, or when a query, transaction, or replica lags.
mysql-patterns affaan-m/everything-claude-code · score 71/100 (grade C)
MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends. Use when designing MySQL or MariaDB schemas and indexes, or when a query, transaction, or replica lags.
nextjs-best-practices sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Next.js App Router principles. Server Components, data fetching, routing patterns.
nosql-expert sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
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.
persistent-localhost davidondrej/skills · score 71/100 (grade C)
Manage persistent dev servers, APIs, and other local processes on a port using macOS LaunchAgents. Use when starting, stopping, restarting, inspecting, or troubleshooting local servers that should survive shell exit and restart after crashes.
prediction-market-risk-review affaan-m/ECC · score 71/100 (grade C)
Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.
prediction-market-risk-review affaan-m/everything-claude-code · score 71/100 (grade C)
Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.
ruby-mcp-server-generator github/awesome-copilot · score 71/100 (grade C)
Generate a complete Model Context Protocol server project in Ruby using the official MCP Ruby SDK gem.
scientific-db-uspto-database affaan-m/ECC · score 71/100 (grade C)
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.
scientific-db-uspto-database affaan-m/everything-claude-code · score 71/100 (grade C)
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs. Use when a task needs official United States patent or trademark records from USPTO systems.
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.
senior-fullstack sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Coordinate full-stack implementation across interface, service, database and delivery boundaries using the existing project stack and verified checks.
senior-qa alirezarezvani/claude-skills · score 71/100 (grade C)
Generates unit tests, integration tests, and E2E tests for React/Next.js applications. Scans components to create Jest + React Testing Library test stubs, analyzes Istanbul/LCOV coverage reports to surface gaps, scaffolds Playwright test files from Next.js routes, mocks API calls with MSW, creates test fixtures, and configures test runners. Use when the user asks to "generate tests", "write unit tests", "analyze test coverage", "scaffold E2E tests", "set up Playwright", "configure Jest", "implement testing patterns", or "improve test quality".
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.
x-api affaan-m/ECC · score 71/100 (grade C)
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
x-api affaan-m/everything-claude-code · score 71/100 (grade C)
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
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-platform-migrate-from-ai-studio google/skills · score 70/100 (grade C)
Guides agents and users through migrating from Gemini API in Google AI Studio to Gemini Enterprise Agent Platform (formerly Vertex AI). Use this skill when moving applications to Google Cloud, to leverage Cloud credits, or to unify inferencing with other Cloud infrastructure (IAM, billing, telemetry).
api-design affaan-m/ECC · score 70/100 (grade C)
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.
api-design affaan-m/everything-claude-code · score 70/100 (grade C)
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs. Use when designing or reviewing REST endpoints, resource names, status codes, pagination, or versioning.
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.
api-patterns sickn33/antigravity-awesome-skills · score 70/100 (grade C)
API design principles and decision-making. REST vs GraphQL vs tRPC selection, response formats, versioning, pagination.
asc-apple-ads rudrankriyam/app-store-connect-cli-skills · score 70/100 (grade C)
Use when managing Apple Ads with asc, including OAuth profiles, ad-account discovery, Platform API v1 campaigns and targeting, reports, assets, recommendations, guarded mutations, raw requests, and Campaign Management API v5 migration.
bigquery-observability google/skills · score 70/100 (grade C)
Provides data-retrieval best practices, tool selection guidance, and performant SQL query syntax for BigQuery telemetry across INFORMATION_SCHEMA, Cloud Monitoring, and the REST API. Use when the telemetry to fetch is already known, selecting telemetry tools, writing performant INFORMATION_SCHEMA queries, retrieving telemetry for diagnosing single-job performance bottlenecks, investigating slot contention, job concurrency and queue latency, analyzing reservation capacity, utilization and autoscaling saturation, or auditing capacity-based and on-demand compute and storage resource billable usage. Don't use for root-cause diagnosis or symptom troubleshooting when the cause is unknown (use bigquery-troubleshooting first), or for writing or optimizing business logic SQL (use bigquery-optimization).
bio-clinical-databases-myvariant-queries GPTomics/bioSkills · score 70/100 (grade C)
Queries myvariant.info BioThings aggregator for ClinVar, gnomAD, dbSNP, dbNSFP, COSMIC, CADD, and CIViC annotations in batched, version-tracked requests. Use when annotating variant lists from multiple databases simultaneously without managing per-source APIs, and when reproducibility-grade analyses require recording source data versions via _meta.
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-ortholog-inference GPTomics/bioSkills · score 70/100 (grade C)
Pull pre-computed ortholog calls from public databases (OrthoDB, Ensembl Compara, OMA browser, eggNOG, PANTHER, KEGG Orthology, HomoloGene) via their REST APIs. Use when orthologs are already curated upstream, when the question is "what is the X ortholog of Y" rather than "how to infer orthology de novo", when batch-mapping gene IDs across species, or when comparing the resources for consensus calls. Encodes confidence-level semantics, 1:1 vs 1:many vs many:many, HomoloGene deprecation, and when to defect to de novo computation.
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-similarity-searching GPTomics/bioSkills · score 70/100 (grade C)
Performs molecular similarity searching using Tanimoto, Tversky, Dice, and cosine coefficients on bit/count fingerprints with explicit choice rules for symmetric vs asymmetric measures, scaffold-hopping vs lead-optimization regimes, activity-cliff diagnosis, and large-library nearest-neighbor methods (BulkTanimoto, MHFP6 LSH forest, USRCAT). Use when ranking compounds by structural resemblance to a query, clustering libraries, finding analogs, or diagnosing activity cliffs.
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.
cloud-monitoring-metric-selection google/skills · score 70/100 (grade C)
Retrieve, query, and identify relevant Cloud Monitoring metric descriptors on Google Cloud for a service or resource (such as Compute Engine, Spanner, BigQuery, Cloud Run, Cloud SQL, Pub/Sub, Cloud Storage, etc.). Use when asked to find, list, search, or discover GCP metric types, names, kind/value schemas, or descriptors.
code-audit sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Authorized source-code security review and SAST workflows: Semgrep and CodeQL pattern hunting, dangerous API identification, and fix verification.
coding-standards affaan-m/ECC · score 70/100 (grade C)
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns. Use when reviewing code quality or naming with no framework-specific skill that applies.
coding-standards affaan-m/everything-claude-code · score 70/100 (grade C)
Baseline cross-project coding conventions for naming, readability, immutability, and code-quality review. Use detailed frontend or backend skills for framework-specific patterns. Use when reviewing code quality or naming with no framework-specific skill that applies.
context-management-context-restore sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Resume interrupted project work from a handoff and current checkout evidence; reconcile completed work, pending changes and existing user constraints.
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.
data-analysis bytedance/deer-flow · score 70/100 (grade C)
Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.
dbt-sf-to-bq-translator google/skills · score 70/100 (grade C)
Translates Snowflake dbt SQL models to Standardized BigQuery SQL. Handles SQL compilation, Jinja macro placeholder masking, BigQuery Translation Service migration workflows, AST-based config transformations, explicit type casting, JSON extraction standardization, and deduplication. Use when migrating Snowflake dbt pipelines or models to BigQuery on Google Cloud. Don't use for generic BigQuery queries or non-Snowflake SQL migrations.
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.
finding-google-skills google/skills · score 70/100 (grade C)
Google platform decision and setup guidance, loaded on demand from Google's skill catalog. Use when a developer is choosing or setting up part of their stack, such as where to run a service, a database, storage, messaging, authentication, analytics, ads, or AI model serving, and a Google product is a reasonable candidate - whether or not a vendor is named - or when a request names a Google product or API. Brings in the matching Google skill so the answer can weigh Google options, their trade-offs, and when they are not the right fit. Skip when the stack is already settled on another provider and no Google product is named, or the task involves no platform choice.
fp-async sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples
gke-ai-troubleshooting-tpu-mxla-hang google/skills · score 70/100 (grade C)
Diagnose GKE Cloud TPU multi-slice training hangs (Megascale `HANG_DETECTED` logs and hang monitored events) using the ML Diagnostics `Megascale XLA (MXLA) Hang Analyzer` (`gcloud alpha mldiagnostics monitored-events`) and 1-minute Cloud Monitoring multi-slice latency metrics (`kubernetes.io/container/multislice/*`). Distinguishes XLA compiler/HLO launch divergence and host data-input stalls from TPU chip, SparseCore, ICI, or network fabric faults. Use when multi-slice TPU training jobs freeze without progressing steps, emit `HANG_DETECTED`, or stall in collective operations. Don't use for gradual step-time throughput drops without hangs (use gke-ai-troubleshooting-tpu-performance-degradation) or pod preemption/eviction restarts (use gke-ai-troubleshooting-jobset-interruption).
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.
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).
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.
microsoft-code-reference github/awesome-copilot · score 70/100 (grade C)
Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.
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.
reflect alirezarezvani/claude-skills · score 70/100 (grade C)
Mid-conversation reflection skill that pauses execution and zooms out from detail-mode to honestly reassess direction, assumptions, and bias. Use when the user says 'reflect', 'take a step back', 'step back', 'zoom out', 'are we missing something', 'bigger picture', 'sanity check this', 'are we on track', 'are we overthinking this', 'forest for the trees', or any variation signaling intent to break out of detail-mode and reassess. Also trigger when the conversation has gone deep on implementation details without strategic check-in, or when the user shows signs of being stuck — that's often a signal the framing needs a reset, not more detail work. Intentionally low-intake: runs the 5-dimension analysis immediately when prior context is rich enough; asks one forcing clarifier only when invocation context is too thin to reassess from.
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
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.
security-review affaan-m/ECC · score 70/100 (grade C)
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
security-review affaan-m/everything-claude-code · score 70/100 (grade C)
Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.
tear-sheet anthropics/financial-services · score 70/100 (grade C)
Generate professional company tear sheets using S&P Capital IQ data via the Kensho LLM-ready API MCP server. Use this skill whenever the user asks for a tear sheet, company one-pager, company profile, fact sheet, company snapshot, or company overview document — especially when they mention a specific company name or ticker. Also trigger when users ask for equity research summaries, M&A company profiles, corporate development target profiles, sales/BD meeting prep documents, or any concise single-company financial summary. This skill supports four audience types: equity research, investment banking/M&A, corporate development, and sales/business development. If the user doesn't specify an audience, ask. Works for both public and private companies.
threejs-image-generator majidmanzarpour/threejs-game-skills · score 70/100 (grade C)
Generate and edit 2D image assets for Three.js games with Google's Gemini image API: concept sheets, image-to-3D inputs, texture and material references, sky and background plates, decals, logos, icons, GUI art, title and menu art, and marketing stills. Also use for direct image editing when the user supplies an image path.
typespec-api-operations github/awesome-copilot · score 70/100 (grade C)
Add GET, POST, PATCH, and DELETE operations to a TypeSpec API plugin with proper routing, parameters, and adaptive cards
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.
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.
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).
baoyu-danger-gemini-web JimLiu/baoyu-skills · score 69/100 (grade C)
Generates images and text via reverse-engineered Gemini Web API. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests "generate image with Gemini", "Gemini text generation", or needs vision-capable AI generation.
bdistill-behavioral-xray sickn33/antigravity-awesome-skills · score 69/100 (grade C)
X-ray any AI model's behavioral patterns — refusal boundaries, hallucination tendencies, reasoning style, formatting defaults. No API key needed.
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-pathway-go-enrichment GPTomics/bioSkills · score 69/100 (grade C)
Runs Gene Ontology over-representation analysis (ORA) on a gene LIST with clusterProfiler enrichGO, the one-sided hypergeometric/Fisher 2x2 test phyper(k-1, M, N-M, n, lower.tail=FALSE). Covers why the BACKGROUND universe (not the gene list) is the null and decides significance, why omitting universe= is a bug, why enrichGO defaults to ont='MF' not 'BP', why pvalueCutoff filters p.adjust not raw p, why ORA discards effect magnitude and inherits GO-DAG true-path redundancy (simplify, topGO), why RNA-seq gene-length bias inflates long-gene terms (GOseq Wallenius), plus GeneRatio/BgRatio, bitr ID mapping, minGSSize/maxGSSize, groupGO. Use when a pre-selected gene list (DE hits, co-expression module, screen, GWAS-mapped) needs GO annotation. For a ranked no-cutoff analysis see gsea; for other databases see kegg-pathways, reactome-pathways, wikipathways; DE source is differential-expression/de-results; plots in enrichment-visualization.
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.
cloud-databases-onboarding google/skills · score 69/100 (grade C)
Guides users through discovering their database requirements, recommends a Google Cloud database based on a recommendation matrix, and assists in database creation. Use when a user asks 'What database service should I use?', 'Help me pick a database', or when a user wants to create a new database on Google Cloud. Don't use for general Google Cloud maintenance, managing existing databases, or database migrations.
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.
database-optimizer sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Expert database optimizer specializing in modern performance tuning, query optimization, and scalable architectures.
database-schema-designer alirezarezvani/claude-skills · score 69/100 (grade C)
Use when the user asks to create ERD diagrams, normalize database schemas, design table relationships, or plan schema migrations.
dependabot github/awesome-copilot · score 69/100 (grade C)
Comprehensive guide for configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, security update configuration, auto-triage rules, or any GitHub Advanced Security (GHAS) supply chain security topic related to Dependabot. For pre-commit dependency vulnerability scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when an agent needs to scan dependencies for known vulnerabilities before committing.
figma openai/skills · score 69/100 (grade C)
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
gemini-interactions-api google/skills · score 69/100 (grade C)
Guides the usage of Gemini Interactions API on Gemini Enterprise Agent Platform. Use when the user wants to use the stateful, server-managed Interactions API for multi-turn conversations, background execution, streaming, structured output, and function calling on the Agent Platform.
gke-ai-troubleshooting-jobset-interruption google/skills · score 69/100 (grade C)
Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workload deployment, or non-JobSet application issues.
integrate-context-matic github/awesome-copilot · score 69/100 (grade C)
Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guidance, `model_search` and `endpoint_search` for SDK details. Use when the user asks to integrate a third-party API, add an API client, implement features with an external API, or work with any third-party API or SDK.
ios-icon-gen affaan-m/ECC · score 69/100 (grade C)
Generate iOS app icons as PNG imagesets for Xcode asset catalogs from SF Symbols (5000+ Apple-native) or Iconify API (275k+ open source icons from 200+ collections). Use when generating icons, creating icon assets, adding icons to asset catalog, or searching for icons for iOS projects.
ios-icon-gen affaan-m/everything-claude-code · score 69/100 (grade C)
Generate iOS app icons as PNG imagesets for Xcode asset catalogs from SF Symbols (5000+ Apple-native) or Iconify API (275k+ open source icons from 200+ collections). Use when generating icons, creating icon assets, adding icons to asset catalog, or searching for icons for iOS projects.
jobgpt sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Job search automation, auto apply, resume generation, application tracking, salary intelligence, and recruiter outreach using the JobGPT MCP server.
laravel-security affaan-m/ECC · score 69/100 (grade C)
Laravel security best practices — authentication, authorization, Eloquent safety, CSRF, XSS prevention, API security, and secure deployment configurations. Use when reviewing Laravel auth, Eloquent safety, CSRF, XSS, API security, or deployment configuration.
laravel-security affaan-m/everything-claude-code · score 69/100 (grade C)
Laravel security best practices — authentication, authorization, Eloquent safety, CSRF, XSS prevention, API security, and secure deployment configurations. Use when reviewing Laravel auth, Eloquent safety, CSRF, XSS, API security, or deployment configuration.
managed-airflow-recommendations google/skills · score 69/100 (grade C)
Provides recommendations and best practices for creating, configuring, tuning and optimizing Managed Service for Apache Airflow (MSAA; formerly Cloud Composer) environments. Use when the user asks for guidance, recommendations, or best practices on configuring Managed Airflow environments, scaling Airflow environments, preventing workload restarts, or analyzing system health. Don't use for troubleshooting individual DAG or task run failures, authoring DAGs, or migrating DAGs to newer Airflow versions.
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.
music-generation bytedance/deer-flow · score 69/100 (grade C)
Use this skill when the user requests to generate, create, compose, or produce music or songs — background music, theme songs, jingles, or instrumental tracks. Generates a song from a style/mood prompt and optional lyrics via the MiniMax music API.
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.
nextjs-app-router-patterns sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Comprehensive patterns for Next.js 14+ App Router architecture, Server Components, and modern full-stack React development.
onboarding elevenlabs/skills · score 69/100 (grade C)
Add ElevenLabs to a project from scratch. Use when the user wants to start using ElevenLabs, add text to speech, speech to text, voice agents, real-time voice for their own agent runtime (Speech Engine), sound effects, music, voice changing, voice isolation, or dubbing to their app, or get set up with an ElevenLabs account or API key for the first time. Handles sign-in, API key creation, SDK install and a test request end to end; the user leaves the conversation once, to approve a browser page. Not for fixing a key that stopped working or placing one an administrator issued (use setup-api-key).
rag-implementation sickn33/antigravity-awesome-skills · score 69/100 (grade C)
RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.
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.
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).
sankhya-dashboard-html-jsp-custom-best-pratices sickn33/antigravity-awesome-skills · score 69/100 (grade C)
This skill should be used when the user asks for patterns, best practices, creation, or fixing of Sankhya dashboards using HTML, JSP, Java, and SQL.
senior-architect alirezarezvani/claude-skills · score 69/100 (grade C)
This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format.
server-management sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
setup-api-key elevenlabs/skills · score 69/100 (grade C)
Fix or hand-configure an existing ElevenLabs API key. Use when a key stopped working (401 or invalid_api_key), when an administrator issued the key, when the user's role cannot create keys, or when the user already has a key and needs it in the right place. Checks whether ELEVENLABS_API_KEY is configured and valid, without reading it into the conversation. Not for first-time setup or adding ElevenLabs to a project (use onboarding).
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.
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).
swift-mcp-server-generator github/awesome-copilot · score 69/100 (grade C)
Generate a complete Model Context Protocol server project in Swift using the official MCP Swift SDK package.
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.
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.
update-swiftui-apis AvdLee/SwiftUI-Agent-Skill · score 69/100 (grade C)
Scan Apple's SwiftUI documentation for deprecated APIs and update the SwiftUI Expert Skill with modern replacements. Use when asked to "update latest APIs", "refresh deprecated SwiftUI APIs", "check for new SwiftUI deprecations", "scan for API changes", or after a new iOS/Xcode release. Requires the Sosumi MCP to be available.
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.
api-gateway-backend-security-and-rate-limiting google/skills · score 68/100 (grade C)
Secures and rate limits backend services behind Google Cloud API Gateway across OpenAPI 2.0 and OpenAPI 3.0.x API configurations, including MCP-enabled gateways. Use when configuring API key or JWT authentication, locking down Cloud Run or Cloud Run functions backends with a gateway service account, reading authenticated claims from X-Apigateway-Api-Userinfo, setting per-project request quotas, or diagnosing HTTP 429 and HTTP 500 Service Control Quota errors. Do not use for Apigee, GKE Gateway API, Cloud Load Balancing custom domain setup, or LLM model routing.
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.
azure-ai-translation-ts sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Text and document translation with REST-style clients.
azure-communication-callingserver-java sickn33/antigravity-awesome-skills · score 68/100 (grade C)
⚠️ DEPRECATED: This SDK has been renamed to Call Automation. For new projects, use azure-communication-callautomation instead. This skill is for maintaining legacy code only.
bigquery-basics google/skills · score 68/100 (grade C)
Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.
bigquery-optimization google/skills · score 68/100 (grade C)
Provides workflows to optimize BigQuery environments (capacity planning, editions), storage assets (partitioning, clustering, storage lifecycles, billing models), and SQL queries. Use when optimizing cost, modeling Edition migrations, rightsizing reservations, evaluating logical vs. physical storage, designing table partitioning/clustering, generating table DDL, migrating unpartitioned tables, managing partition expiration, optimizing individual SQL queries, or evaluating acceleration structures (search indexes, materialized views, BI Engine). Do not use for raw usage reporting (use bigquery-observability), query execution plan analysis, error troubleshooting, or diagnosing why a specific job was slow (use bigquery-troubleshooting).
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-clinical-databases-msi-detection GPTomics/bioSkills · score 68/100 (grade C)
Calls microsatellite instability from WES/WGS/targeted-panel with MSIsensor, MSIsensor-pro, MSIsensor-ct (panel-aware), mSINGS, and MANTIS for FDA pembrolizumab MSI-H pan-tumor / Lynch syndrome / dMMR ICI biomarker. Use when stratifying ICI eligibility (Le 2015), pairing MSI with TMB-H (Sha 2020 / Salem 2018), screening Lynch syndrome (universal IHC + MSI), or distinguishing MSI-H tumors from POLE-exo hypermutator with overlapping signatures.
bio-clinical-databases-pharmacogenomics GPTomics/bioSkills · score 68/100 (grade C)
Queries PharmGKB / CPIC / DPWG for drug-gene interactions; calls CYP2D6/CYP2C9/CYP2C19/DPYD/TPMT/NUDT15/UGT1A1/SLCO1B1 star alleles and phenotype with PharmCAT, Cyrius (CYP2D6 structural variants), Aldy, Stargazer; applies Caudle 2020 activity-score translation. Use when implementing pharmacogenomic-guided prescribing, applying CPIC vs DPWG guidance, screening HLA risk alleles for ICI / antiepileptics / abacavir, or interpreting compound TPMT+NUDT15 thiopurine risk.
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-pathway-wikipathways GPTomics/bioSkills · score 68/100 (grade C)
Tests a gene list (ORA, enrichWP) or a ranked gene vector (GSEA, gseWP) against the WikiPathways community-curated pathway collection with clusterProfiler and rWikiPathways. Covers why a WikiPathways result is a snapshot of a live, monthly-updated database (enrichWP/gseWP/gson_WP silently pull data.wikipathways.org/current/), why reproducibility requires pinning a dated GMT via downloadPathwayArchive(date=, format='gmt'), why the WP GMT is Entrez-keyed so symbols and Ensembl silently overlap nothing, why universe=NULL gives a biased all-WP-genes background, how to split the name%version%wpid%org term, and why WikiPathways (CC0, no peer review) complements KEGG/Reactome. Use when running open community-pathway enrichment, covering a non-model WP species, catching disease/drug pathways missing from KEGG/Reactome, or needing a reproducible dated analysis. The gene list comes from differential-expression/de-results; visualize with enrichment-visualization.
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-variant-normalization GPTomics/bioSkills · score 68/100 (grade C)
Left-align and trim indels to parsimonious canonical form, decompose MNPs (atomize), and split multiallelic variants with bcftools norm. Use when comparing variants across callers or cohorts, preparing a VCF for database annotation or ClinVar/dbSNP matching, merging VCFs, reconciling vt-vs-bcftools representation discordance, or resolving the VCF-left-align vs HGVS-3'-rule clash.
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.
database-cloud-optimization-cost-optimize sickn33/antigravity-awesome-skills · score 68/100 (grade C)
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.
database-design sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
database-security sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Authorized database security assessment across PostgreSQL, MySQL, MSSQL, MongoDB, and Redis: exposure, authorization gaps, UDF/command execution paths, and misconfiguration review.
datacircle sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Every GTM API plan on datacircle.dev, as one file you download and query. Use it to compare or price a GTM data API.
flox-environments affaan-m/ECC · score 68/100 (grade C)
Create reproducible, cross-platform (macOS/Linux) development environments with Flox, a declarative Nix-based environment manager. Use when setting up project toolchains, installing system-level dependencies (compilers, databases, native libs), pinning exact package versions for a team, onboarding developers, running local services (PostgreSQL, Redis, Kafka), or solving 'works on my machine' problems — including agent/vibe-coding setups that need project-scoped tools without sudo. Also use when the user mentions .flox/, manifest.toml, flox activate, or FloxHub.
flox-environments affaan-m/everything-claude-code · score 68/100 (grade C)
Create reproducible, cross-platform (macOS/Linux) development environments with Flox, a declarative Nix-based environment manager. Use when setting up project toolchains, installing system-level dependencies (compilers, databases, native libs), pinning exact package versions for a team, onboarding developers, running local services (PostgreSQL, Redis, Kafka), or solving 'works on my machine' problems — including agent/vibe-coding setups that need project-scoped tools without sudo. Also use when the user mentions .flox/, manifest.toml, flox activate, or FloxHub.
gke-manifest-generation google/skills · score 68/100 (grade C)
Generates and updates secure, production-ready Kubernetes YAML manifests optimized for GKE Autopilot and GKE Standard clusters. Use when creating or modifying GKE deployment manifests, configuring container security contexts, setting CPU/memory resource limits, defining readiness/liveness/startup probes, mounting secrets and volumes, configuring GKE Gateway API routes, targeting Spot VMs, or deploying AI model inference workloads (vLLM, TGI, Gemma). Don't use for live cluster operations, pod troubleshooting (use gke-workload-troubleshooting), or cluster infrastructure provisioning (use gke-cluster-creation).
gke-storage google/skills · score 68/100 (grade C)
Manages GKE storage, including PVCs, PersistentVolumes, and Filestore. Use when configuring GKE storage or creating PVCs. For GCS FUSE mounts, use google-cloud-storage-fuse. For diagnosing storage failures (volume attach/mount errors, disk performance/node storage pressure, or Cloud Storage FUSE OOM), use gke-storage-troubleshooting. Don't use for database administration or replication strategies outside volume provisioning 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.
homelab-wireguard-vpn affaan-m/ECC · score 68/100 (grade C)
WireGuard VPN server setup, peer configuration, key generation, split tunneling vs full tunnel routing, and remote access to a home network from mobile and laptop clients. Use when setting up WireGuard for remote access to a home network, or deciding between split and full tunnel routing.
homelab-wireguard-vpn affaan-m/everything-claude-code · score 68/100 (grade C)
WireGuard VPN server setup, peer configuration, key generation, split tunneling vs full tunnel routing, and remote access to a home network from mobile and laptop clients. Use when setting up WireGuard for remote access to a home network, or deciding between split and full tunnel routing.
mcp-security-audit github/awesome-copilot · score 68/100 (grade C)
Audit MCP (Model Context Protocol) server configurations for security issues. Use this skill when: - Reviewing .mcp.json files for security risks - Checking MCP server args for hardcoded secrets or shell injection patterns - Validating that MCP package-runner dependencies use exact reviewed versions, not bare names, @latest, or ranges - Detecting mutable npm/npx, bunx, pnpm dlx, yarn dlx, and npm exec references in MCP configurations - Auditing which MCP servers a project registers and whether they're on an approved list - Checking for environment variable usage vs. hardcoded credentials in MCP configs - Any request like "is my MCP config secure?", "audit my MCP servers", or "check .mcp.json" keywords: [mcp, security, audit, secrets, shell-injection, supply-chain, governance]
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".
onboard-context-matic github/awesome-copilot · score 68/100 (grade C)
Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can ask the agent to do. USE FOR: first-time setup; "what can this MCP do?"; "show me the available APIs"; "onboard me"; "how do I use the context-matic server"; "give me a tour". DO NOT USE FOR: actually integrating an API end-to-end (use integrate-context-matic instead).
postgresql sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features
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.
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.
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.
social-publisher affaan-m/ECC · score 68/100 (grade C)
Agent-driven scheduling and publishing of social media posts across 13 platforms via SocialClaw. Use when the user wants to publish to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, or Pinterest — or when managing campaigns, uploading media, or monitoring post delivery status.
social-publisher affaan-m/everything-claude-code · score 68/100 (grade C)
Agent-driven scheduling and publishing of social media posts across 13 platforms via SocialClaw. Use when the user wants to publish to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, or Pinterest — or when managing campaigns, uploading media, or monitoring post delivery status.
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).
sql-optimization-patterns sickn33/antigravity-awesome-skills · score 68/100 (grade C)
Diagnose slow SQL with query plans, preserve query results, and verify indexing or query changes against representative data.
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.
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.
winui3-migration-guide github/awesome-copilot · score 68/100 (grade C)
UWP-to-WinUI 3 migration reference. Maps legacy UWP APIs to correct Windows App SDK equivalents with before/after code snippets. Covers namespace changes, threading (CoreDispatcher to DispatcherQueue), windowing (CoreWindow to AppWindow), dialogs, pickers, sharing, printing, background tasks, and the most common Copilot code generation mistakes.
affiliate-check Affitor/affiliate-skills · score 67/100 (grade C)
Live affiliate program data from openaffiliate.dev. Search programs, compare commissions, check cookie days, find top performers. Use when researching affiliate programs, comparing options, or checking program details. Persistent daemon with cache — first call starts server (~2s), subsequent calls ~100ms.
architecture-decision-records affaan-m/ECC · score 67/100 (grade C)
Capture architectural decisions as numbered ADR markdown files in docs/adr/ with context, alternatives considered, consequences, and an index README. Use when the user says 'record this decision' or 'ADR this', chooses between frameworks or databases, discusses trade-offs, or asks why the codebase is shaped this way.
architecture-decision-records affaan-m/everything-claude-code · score 67/100 (grade C)
Capture architectural decisions as numbered ADR markdown files in docs/adr/ with context, alternatives considered, consequences, and an index README. Use when the user says 'record this decision' or 'ADR this', chooses between frameworks or databases, discusses trade-offs, or asks why the codebase is shaped this way.
bigquery-troubleshooting google/skills · score 67/100 (grade C)
Provides diagnostic workflows and step-by-step root-cause analysis procedures for actively broken, failing, or slow BigQuery jobs, execution graph and query plan stage bottlenecks, system performance issues, or unexpectedly expensive workloads. Use when interpreting symptoms, isolating bottlenecks, diagnosing cost spikes (on-demand query spend, capacity slot autoscaling, storage growth), execution graph stages or substep variables, identifying root causes, and determining remediation steps. Don't use for writing or optimizing SQL, proactive capacity planning, or storage layout design (use bigquery-optimization), or when the user already knows which telemetry they want and just needs the query (use bigquery-observability).
bio-chipseq-motif-analysis GPTomics/bioSkills · score 67/100 (grade C)
Discovers de novo motifs and tests known motif enrichment in ChIP-seq, ATAC-seq, or other peak sequences using HOMER, MEME-ChIP (STREME, CentriMo, TOMTOM, FIMO), monaLisa, and AME. Handles background selection (GC-matched, dinucleotide-shuffled, Markov order-2, peak-flanks), motif databases (JASPAR 2024 CORE PWMs, JASPAR 2026 deep-learning collection, HOCOMOCO v12, HOMER built-in), centrally-enriched motif testing, and differential motif analysis. Use when identifying TF binding motifs in peaks, testing for known TF enrichment, scanning for motif instances, comparing motif content between conditions, or interpreting motifs from deep learning models.
bio-clinical-databases-hla-typing GPTomics/bioSkills · score 67/100 (grade C)
Calls HLA class I and class II alleles at 2/4/6/8-field resolution from WGS/WES/RNA-seq/long-read data using OptiType, HLA-LA, T1K, Polysolver, HLA-HD, arcasHLA, StarPhase, or HIBAG imputation. Use when typing for HSCT, solid-organ transplant, neoantigen prediction, PGx screening (B*57:01, B*15:02, etc.), or disease-association studies, with reconciliation across tools and IPD-IMGT/HLA version mismatch handling.
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-hi-c-analysis-hichip-plac-loops GPTomics/bioSkills · score 67/100 (grade C)
Calls significant loops from protein-directed and targeted 3C assays (HiChIP, PLAC-seq, Capture Hi-C/PCHi-C, ChIA-PET) where the contact background is peak-anchored and coverage-biased, so generic Hi-C loop callers (cooltools dots, Juicer HiCCUPS) use the wrong null. Covers FitHiChIP (config-driven coverage+distance-decay spline regression, peak-to-peak vs peak-to-all foreground, loose vs stringent background, coverage vs ICE bias), MAPS (positive Poisson regression on bias factors for PLAC-seq/HiChIP), hichipper (restriction-site-distance bias model + library QC), CHiCAGO (Delaporte two-component Brownian+technical background for asymmetric bait x other-end Capture Hi-C), the with/without separate-ChIP anchor decision, and differential loops via diffloop. Use when calling loops from HiChIP/PLAC-seq/Capture Hi-C, choosing FitHiChIP/MAPS/CHiCAGO, picking peak-to-all vs peak-to-peak, setting the loop FDR, supplying ChIP peaks as anchors, QCing a HiChIP library, or comparing loops between conditions.
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-primer-design-primer-specificity GPTomics/bioSkills · score 67/100 (grade C)
Checks whether a PCR primer PAIR amplifies only the intended target genome-wide, using pair-aware in-silico PCR (MFEprimer-3.0, UCSC isPcr, NCBI Primer-BLAST) plus a primer3-py 3'-end-stability prefilter, against the correct database. Covers why plain BLAST is the wrong tool (it scores per-primer similarity, blind to 3'-terminal anchoring and to whether the two primers form a convergent amplicon in range), why a single 3'-terminal mismatch suppresses amplification while internal mismatches are tolerated, why intron-spanning RT-qPCR is defeated by processed pseudogenes that force a GENOME search not transcriptome-only, how to read a Primer-BLAST report (empty unintended-products means none passed its filter, not none exist), and that in-silico checking reduces but never replaces empirical validation. Use when confirming specificity, screening off-target amplicons, avoiding paralog/pseudogene hits, or checking SNPs under the 3' end. Design is primer-basics; dimers primer-validation; alignment read-alignment.
bio-read-alignment-star-alignment GPTomics/bioSkills · score 67/100 (grade C)
Aligns RNA-seq reads to a genome with STAR, the fast splice-aware aligner whose splice-junction database (built from a GTF at sjdbOverhang = readlength-1) and two-pass mode set junction sensitivity, whose 255-for-unique MAPQ breaks GATK, and whose GeneCounts output reveals library strandedness. Use when RNA reads must be placed on the genome for novel-isoform discovery, fusion detection, RNA variant calling, coverage tracks, splicing QC, or single-cell (STARsolo). Memory-constrained RNA alignment is hisat2-alignment; DE on known transcripts only should skip alignment for rna-quantification/alignment-free-quant; the QC gate and contig-naming reconciliation are alignment-files; counting is rna-quantification; DNA is bwa-alignment/bowtie2-alignment.
bio-small-rna-seq-target-prediction GPTomics/bioSkills · score 67/100 (grade C)
Predicts and prioritizes miRNA target genes with seed-based tools (miRanda, TargetScan, miRDB) and experimentally validated databases (miRTarBase, multiMiR). Use when deciding that a predicted target is a hypothesis not a finding; ranking by the right score (weighted context++, mirSVR, miRDB); raising confidence by intersecting predictions with inversely-correlated mRNA DE; weighing validated (CLIP/reporter) over predicted evidence; or avoiding the circular enrichment of unfiltered target lists.
bio-workflows-tcr-pipeline GPTomics/bioSkills · score 67/100 (grade C)
Orchestrates an end-to-end immune-repertoire pipeline from FASTQ to clonotypes, diversity, overlap, somatic hypermutation and lineages, routing on two forks. Use when deciding bulk vs single-cell (bulk amplicon/RNA-seq -> MiXCR analyze preset -> VDJtools/immunarch depth-normalized diversity and overlap -> figures; 10x paired VDJ -> MiXCR 10x preset or Cell Ranger -> scirpy gene-expression integration, chain QC, clonotype clusters); and TCR vs BCR (TCR -> exact CDR3-nt+V/J clonotypes, VDJtools diversity is fine; BCR -> somatic hypermutation makes exact clonotypes wrong -> Immcantation distToNearest/findThreshold clonal clustering, germline reconstruction, SHM, Dowser lineages); selecting the MiXCR 4.x preset by chemistry and activating its license; downsampling to equal depth before comparing diversity or overlap; and optionally annotating antigen specificity.
change-management alirezarezvani/claude-skills · score 67/100 (grade C)
Framework for rolling out organizational changes without chaos. Covers the ADKAR model adapted for startups, communication templates, resistance patterns, and change fatigue management. Handles process changes, org restructures, strategy pivots, and culture changes. Use when announcing a reorg, switching tools, pivoting strategy, killing a product, changing leadership, or when user mentions change management, change rollout, managing resistance, org change, reorg, or pivot communication.
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.
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.
creating-oracle-to-postgres-migration-integration-tests github/awesome-copilot · score 67/100 (grade C)
Creates integration test cases targeting Oracle for .NET data access artifacts. Tests capture Oracle expected behavior as the authoritative baseline; they are written once and later ported to PostgreSQL by migrating the test project in Phase 6. Use only during Phase 3, before any PostgreSQL migration work has begun. Do not invoke during Phase 6 or against a project that has already been migrated.
data-manager-api-audience-ingestion google/skills · score 67/100 (grade C)
Guides developers through managing (adding, removing, and clearing) audience members for Google products using the Data Manager API and its associated client libraries. Use this skill when the user wants to upload audience members, remove specific users, or clear/replace an entire audience for Customer Match, mobile device ID audiences, or any other audience use case supported by the Data Manager API. Don't use for uploading events or conversions (use the data-manager-api-event-ingestion skill).
directory-submissions coreyhaines31/marketingskills · score 67/100 (grade C)
When the user wants to submit their product to startup, SaaS, AI, agent, MCP, no-code, or review directories for backlinks, domain rating, and discovery. Also use when the user mentions "directory submissions," "submit to directories," "backlinks from directories," "list my product," "submit to Product Hunt," "BetaList," "TAAFT," "Futurepedia," "G2 listing," "Capterra listing," "AlternativeTo," "SaaSHub," "AI directories," "MCP registry," "publish my MCP server," "awesome list," "llms.txt directory," "Claude plugin directory," "agent directory," "dofollow backlinks," "launch directories," or "directory tracker." Use this whenever someone is planning the directory layer of a product launch or an ongoing backlink campaign. For the broader launch moment, see launch. For programmatic SEO pages that should live behind these backlinks, see programmatic-seo. For AI citation optimization, see ai-seo.
django-security affaan-m/ECC · score 67/100 (grade C)
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations. Use when reviewing Django authentication, authorization, input handling, or deployment settings.
django-security affaan-m/everything-claude-code · score 67/100 (grade C)
Django security best practices, authentication, authorization, CSRF protection, SQL injection prevention, XSS prevention, and secure deployment configurations. Use when reviewing Django authentication, authorization, input handling, or deployment settings.
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.
google-cloud-filestore-log-troubleshooting google/skills · score 67/100 (grade C)
Diagnoses and resolves Filestore client mount failures on Google Cloud, permission errors (EACCES), and network timeouts (ETIMEDOUT). Use when an NFS mount hangs or fails from a Compute Engine VM, GKE pod, Cloud Run service, or Vertex AI workload, when `mount.nfs` reports "Connection timed out" or "access denied by server", when checking whether VPC ingress firewall rules or `nfsExportOptions` allow a client IP, or when a previously working Filestore share suddenly stops mounting after an administrative change. Don't use for Cloud Storage (GCS) buckets, Persistent Disk, or Cloud NetApp Volumes, and don't use for Filestore capacity scaling or backup and export-policy auditing.
google-cloud-solution-guided-gke-ai-migration google/skills · score 67/100 (grade C)
Guides the migration of existing AI workloads (Cloud Run, Gemini API, Gemini Enterprise Agent Platform) to self-hosted GKE inference using gcloud and kubectl. Use when the user has an existing AI inference workload (on Cloud Run, the Gemini API, Gemini Enterprise Agent Platform, or a custom VM) and wants to move it to self-hosted inference on GKE, or asks follow-up questions during such a migration (hardware sizing, model staging, manifest generation, validation, traffic cutover). DO NOT use for brand new GKE inference deployments with no existing workload to migrate (use gke-inference instead). DO NOT use if the user intends to automate the migration via the Gemini Cloud Assist MCP server.
google-cloud-solution-hybrid-search-alloydb google/skills · score 67/100 (grade C)
Discovers requirements and generates architectural, design, and deployment guidance for dynamic hybrid search systems by combining semantic search and keyword search. Optimized for AlloyDB hybrid search use cases in Google Cloud. Use when users need vector search combined with structured SQL filtering, faceted attributes, semantic reranking, in-database AI validation, or serverless hosting across transactional relational databases, analytical data warehouses, or managed database engines. DON'T use this skill for simple keyword-only search, or when a standalone non-relational vector database is required.
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.
mailtrap-managing-contacts sickn33/antigravity-awesome-skills · score 67/100 (grade C)
Manage Mailtrap contacts, lists, segments, custom fields, imports, CRM syncs, and campaign audiences through the UI or API.
marketing-plan coreyhaines31/marketingskills · score 67/100 (grade C)
When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product. Also use when the user mentions "marketing plan," "growth plan," "GTM plan," "go-to-market plan," "AARRR plan," "90-day marketing plan," "12-month marketing roadmap," "fractional CMO plan," "fCMO plan," "market sizing," "TAM SAM SOM," "how big is this market," or "market research." Generates an exhaustive 13-section plan structured by AARRR (Acquisition, Activation, Retention, Referral, Revenue), customized to the client's current budget, team, and stage, mapped to future funding milestones, cross-referenced with the 139-idea marketing-ideas library and an embedded 17-section current-state audit rubric, with a marketing operations stack showing which skills and MCP/API integrations execute each part. Outputs a Notion-paste-ready markdown document. For positioning and ICP context before planning, see product-marketing. For stage-specific deep work, see onboarding, signup, emails, referrals, pricing.
migrating-oracle-to-postgres-data-access-code github/awesome-copilot · score 67/100 (grade C)
Migrates .NET/C# data access code from Oracle to PostgreSQL (Npgsql). Replaces Oracle NuGet packages, rewrites OracleConnection/OracleCommand/OracleDataReader usage, fixes DbType mappings, updates stored procedure invocation patterns, and adapts connection string configuration. Use when migrating the application code layer of a .NET project during an Oracle-to-PostgreSQL database migration.
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.
postiz gitroomhq/postiz-agent · score 67/100 (grade C)
Postiz is a tool to schedule social media and chat posts to 28+ channels X, LinkedIn, LinkedIn Page, Reddit, Instagram, Facebook Page, Threads, YouTube, Google My Business, TikTok, Pinterest, Dribbble, Discord, Slack, Kick, Twitch, Mastodon, Bluesky, Lemmy, Farcaster, Telegram, Nostr, VK, Medium, Dev.to, Hashnode, WordPress, ListMonk
project-workflow-analysis-blueprint-generator github/awesome-copilot · score 67/100 (grade C)
Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.
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.
scientific-db-pubmed-database affaan-m/ECC · score 67/100 (grade C)
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.
scientific-db-pubmed-database affaan-m/everything-claude-code · score 67/100 (grade C)
Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring. Use when a task needs biomedical literature from PubMed rather than general web search.
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.
spanner-basics google/skills · score 67/100 (grade C)
Assists in provisioning instances and databases, designing performant schemas, and querying data in Cloud Spanner on Google Cloud. Use when designing primary keys, writing SQL queries or client library code, or diagnosing performance issues.
sql-optimization github/awesome-copilot · score 67/100 (grade C)
Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.
understand-figma Egonex-AI/Understand-Anything · score 67/100 (grade C)
Analyze a Figma file via the Figma REST API and generate an interactive design knowledge graph (pages, screens, components, component sets, instances, design tokens) with a kind:"design" dashboard.
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.
yc-reader himself65/finance-skills · score 67/100 (grade C)
Look up Y Combinator companies and batches from the public yc-oss API, a static JSON dataset refreshed daily: company profiles, batch rosters (e.g. W25, S24), companies by industry or tag, top companies, who is hiring, founder-diversity lists, and overall YC stats. Use this skill whenever the user asks about YC-backed startups, a YC batch, YC companies in a sector or tag or that are hiring, the Y Combinator portfolio, or startup and venture research that draws on YC data. Read-only.
2slides-ppt-generator sickn33/antigravity-awesome-skills · score 66/100 (grade C)
AI-powered presentation generation via the 2slides API — create slides from text, match a reference image style, summarize documents into decks, add AI voice narration, and export pages/audio. Use for any \"make slides\", \"create a deck\", or \"slides from this document\" request.
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.
analytics coreyhaines31/marketingskills · score 66/100 (grade C)
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For getting conversions into ad platforms (pixels, conversion tags, CAPI, server-side) and verifying they arrived, see conversion-tracking. For choosing attribution models, comparing multi-touch/MMM/incrementality, or reconciling conflicting numbers across tools, see attribution. For A/B test measurement, see ab-testing. Rate metrics divide matching closed windows — never full-period spend by partial-period results.
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-clinical-databases-polygenic-risk GPTomics/bioSkills · score 66/100 (grade C)
Constructs and validates polygenic risk scores using LDpred2-auto, SBayesRC, MegaPRS, PRS-CS, PROSPER, MUSSEL, BridgePRS, JointPRS, PRSmix, or PGS Catalog Calculator with ancestry-aware reference panels (HapMap3, UKB-LD), ancestry-conditional calibration, and PRS-RS reporting standards. Use when computing PRS for cohorts, applying absolute-risk transformation, assessing cross-ancestry portability (Martin 2017 / Ding 2023 continuous ancestry), or auditing PRS manuscripts against the 22-item PRS-RS reviewer checklist.
bio-copy-number-cnv-annotation GPTomics/bioSkills · score 66/100 (grade C)
Annotate copy number variant segments with overlapping genes, dosage-sensitivity scores, cancer driver databases, population frequencies, and clinical-variant content. Covers bedtools/pybedtools interval intersection, AnnotSV comprehensive annotation and ranking, ClinGen haploinsufficiency/triplosensitivity scoring, gnomAD-SV/DGV frequency filtering, COSMIC Cancer Gene Census, and ClinVar overlap. Use when interpreting which genes a CNV affects, distinguishing the driver gene of a focal event from passengers, filtering against population CNVs, separating whole-gene from partial-gene overlap, or preparing CNVs for clinical classification.
bio-ensembl-rest GPTomics/bioSkills · score 66/100 (grade C)
Query the Ensembl REST API for gene/transcript/protein lookup, sequence retrieval, comparative genomics (Compara), variant effect prediction (VEP), regulatory features, and cross-species ortholog/paralog calls. Use when pulling Ensembl-native data (Ensembl Gene IDs, version-pinned releases, archive endpoints for reproducibility), gene/transcript/exon structure with stable IDs, or VEP for variant annotation. Encodes the 15 req/sec rate limit, archive (e110.rest.ensembl.org) for reproducibility, Ensembl divisions (vertebrates / plants / fungi / metazoa / bacteria), and the symbol-vs-ID stability problem.
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-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-metagenomics-kraken GPTomics/bioSkills · score 66/100 (grade C)
Classifies shotgun metagenomic reads to taxa with Kraken2's minimizer/LCA matching against a chosen reference database, then hands off to Bracken for abundance re-estimation. Covers why the database (not the algorithm) decides what can be detected, the --confidence and --minimum-hit-groups precision levers, unique-minimizer false-positive control, host-read removal, and why raw Kraken2 read counts are not abundances. Use when profiling who-is-there from shotgun reads, choosing a Kraken2 database, setting a confidence threshold, controlling false positives, or feeding reports to Bracken. For marker-gene profiling see metaphlan-profiling; for abundance mechanics see abundance-estimation; for assembly/MAG recovery see genome-assembly/metagenome-assembly.
bio-metagenomics-metaphlan GPTomics/bioSkills · score 66/100 (grade C)
Profiles shotgun metagenomes to species/SGB relative abundance with MetaPhlAn 4's clade-specific marker genes (bowtie2 short reads, minimap2 long reads). Covers why a MetaPhlAn percentage is a cell fraction (genome-size-normalized taxonomic abundance) and must never be merged with Kraken/Bracken read fractions, kSGB vs uSGB units for quantifying database-absent taxa, the unknown-fraction rescaling and its version-default flip, --index pinning as a batch variable, and when mOTUs3 or sourmash gather beat marker profiling. Use when profiling who-is-there with high precision, needing HMP-comparable species abundances, quantifying novel taxa, or deciding marker-gene vs k-mer profiling. For k-mer classification see kraken-classification; for strains see strain-tracking; for 16S amplicon see the microbiome category.
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-proteomics-peptide-identification GPTomics/bioSkills · score 66/100 (grade C)
Peptide-spectrum matching from MS/MS with target-decoy FDR control, framing identification confidence as a property of a ranked list (q-value/PEP) rather than a raw engine score (XCorr, hyperscore, Andromeda, SpecEValue). Covers sequence-database search engines (Comet, MS-GF+, MSFragger, Sage, MaxQuant, MetaMorpheus), concatenated vs separate target-decoy competition, PEP vs q-value, the multi-level FDR cascade, open/mass-tolerant search, rescoring (Percolator, mokapot, MS2Rescore), and pyOpenMS SimpleSearchEngineAlgorithm + FalseDiscoveryRate. Use when identifying peptides from tandem mass spectra and deciding what FDR threshold to act on. Protein grouping and protein-level FDR are protein-inference; PTM site localization is ptm-analysis; DIA peptide-centric scoring is dia-analysis; intensity quant is quantification.
bio-workflows-genome-assembly-pipeline GPTomics/bioSkills · score 66/100 (grade C)
Orchestrates an end-to-end de novo genome assembly project, routing each step to the right genome-assembly skill rather than restating it. Profiles the genome first (k-mer spectrum -> size, heterozygosity, ploidy), QCs reads, chooses an assembly path by data type (SPAdes for Illumina, Flye for noisy long reads, hifiasm for HiFi, metaFlye for communities), polishes only when needed, decontaminates, scaffolds with Hi-C, and finishes with three-axis QC (contiguity + completeness + correctness). Use when assembling a genome from raw reads and deciding which assembler, whether to polish, and how to prove the result is good.
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.
cost-aware-llm-pipeline affaan-m/ECC · score 66/100 (grade C)
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.
cost-aware-llm-pipeline affaan-m/everything-claude-code · score 66/100 (grade C)
Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching. Use when LLM spend needs to come down, or when routing tasks across model tiers and budgets.
cs-backend-engineer alirezarezvani/claude-skills · score 66/100 (grade C)
Backend-engineering orchestrator. Walks the 7 Matt Pocock forcing questions (read/write ratio + QPS, tenancy, sync vs async, data sensitivity, pattern, RPO/RTO, SLO), picks the language + pattern profile, forks into specialists (api-design-reviewer, database-designer, migration-architect, observability-designer, slo-architect — listed alphabetically; workflow order is dependency-driven) rather than reimplementing their scope. Forks own context. Invoke via /cs-backend-review or Agent({subagent_type:"cs-backend-engineer",...}).
cs-engineering-lead alirezarezvani/claude-skills · score 66/100 (grade C)
Engineering Team Lead agent for coordinating QA, security, data engineering, ML, and frontend/backend teams. Orchestrates engineering-team skills for team-level technical decisions. Spawn when users need team coordination, tech stack evaluation, incident response, or cross-functional engineering work.
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.
finance-sentiment himself65/finance-skills · score 66/100 (grade C)
Fetch normalized stock sentiment across Reddit, X.com, financial news, and Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or trade counts, and trend. Use this skill whenever the user asks how much a stock is being discussed or how hot it is on social platforms, how many Reddit mentions or Polymarket bets a company has, whether Reddit, X, and news agree, or wants to compare stock buzz and sentiment across tickers. Read-only: it never places trades or modifies anything.
find-skills bytedance/deer-flow · score 66/100 (grade C)
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
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+.
gemini-agents-api google/skills · score 66/100 (grade C)
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
gke-platform-security google/skills · score 66/100 (grade C)
Plans, configures, and hardens platform-level Google Kubernetes Engine (GKE) cluster security. Covers cluster add-ons (Secret Manager enablement), RBAC hardening (disabling insecure bindings, audit tools), Binary Authorization, Secrets Encryption (--database-encryption-key), Security Posture (--security-posture), enabling Shielded Nodes, GKE Sandbox cluster enablement, GKE IAM roles, and cross-service authentication IAM patterns. Use when securing cluster control planes, hardening GKE RBAC, enabling Shielded Nodes, enabling GKE Sandbox runtime, enabling cluster-wide security add-ons, or managing GKE IAM roles. Don't use for Workload Identity (use gke-workload-identity) or workload-level security (SecretProviderClass, PSS, NetPol, gVisor pod runtimeClassName; use gke-workload-security).
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.
pdftk-server github/awesome-copilot · score 66/100 (grade C)
Skill for using the command-line tool pdftk (PDFtk Server) for working with PDF files. Use when asked to merge PDFs, split PDFs, rotate pages, encrypt or decrypt PDFs, fill PDF forms, apply watermarks, stamp overlays, extract metadata, burst documents into pages, repair corrupted PDFs, attach or extract files, or perform any PDF manipulation from the command line.
planning-oracle-to-postgres-migration-integration-testing github/awesome-copilot · score 66/100 (grade C)
Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.
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.
react19-source-patterns github/awesome-copilot · score 66/100 (grade C)
Reference for React 19 source-file migration patterns, including API changes, ref handling, and context updates.
scaffolding-oracle-to-postgres-migration-test-project github/awesome-copilot · score 66/100 (grade C)
Scaffolds an xUnit integration test project targeting Oracle in .NET solutions. Creates the test project, transaction-rollback base class, and seed data manager. Use only during Phase 3, before writing Oracle baseline integration tests. Do not invoke during Phase 6 — the PostgreSQL test project is produced by migrating this project, not by running this skill again.
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.
workspace-surface-audit affaan-m/ECC · score 66/100 (grade C)
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.
workspace-surface-audit affaan-m/everything-claude-code · score 66/100 (grade C)
Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.
api-audit briiirussell/cybersecurity-skills · score 65/100 (grade C)
Audit REST, GraphQL, and RPC APIs against the OWASP API Security Top 10 (2023). Use when the user mentions 'API security,' 'API audit,' 'BOLA,' 'broken object level authorization,' 'BFLA,' 'function-level authorization,' 'mass assignment,' 'API rate limiting,' 'GraphQL security,' 'REST security,' 'API authentication,' 'API authorization,' 'excessive data exposure,' or needs to review API endpoints for security weaknesses.
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-clinical-databases-somatic-signatures GPTomics/bioSkills · score 65/100 (grade C)
Extracts and assigns COSMIC v3.4 mutational signatures (86 SBS / 11 DBS / 18 ID / 21 CN / 16 SV) from somatic VCFs using SigProfilerSuite, MutationalPatterns, MuSiCal mvNMF, SigNet, or HRDetect. Use when characterizing DNA-damage etiology (BRCA1/2 HRD, MMR-D, POLE, APOBEC3A, UV, tobacco, aflatoxin, 5-FU/SBS17b, platinum, colibactin SBS88), routing PARP inhibitor decisions, or auditing de novo extraction vs refit choice for cohort size.
bio-metagenomics-functional-profiling GPTomics/bioSkills · score 65/100 (grade C)
Profiles the functional potential of shotgun metagenomes with HUMAnN 3's tiered search (MetaPhlAn prescreen, Bowtie2 pangenome, translated DIAMOND vs UniRef), giving gene-family (RPK) and MetaCyc pathway abundances stratified by species. Covers why a metagenome measures potential not activity, why dropping UNMAPPED/UNINTEGRATED biases everything, why stratification is an estimate, coverage-vs-abundance and MinPath/gap-fill, UniRef90-vs-50 and biome database bias, and the assembly/eggNOG/dbCAN/antiSMASH alternatives. Use when obtaining pathway or gene-family abundances, regrouping to KO/EC/GO, normalizing functional tables, or choosing read-based vs assembly-based functional profiling. For AMR genes see amr-detection; for host-gene enrichment see pathway-analysis.
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-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-rna-structure-structure-probing GPTomics/bioSkills · score 65/100 (grade C)
Processes experimental RNA structure probing data (SHAPE-MaP, DMS-MaPseq) into per-nucleotide reactivity profiles with ShapeMapper2, then uses them as soft restraints on thermodynamic folding. Covers reagent and readout choice (SHAPE vs DMS, mutational-profiling vs RT-stop), the three control samples, per-transcript normalization, the Deigan vs Zarringhalam pseudo-energy models, in-cell versus in-vitro interpretation, and multi-conformation deconvolution. Use when converting probing reads to reactivities; deciding SHAPE versus DMS parameters; judging whether low reactivity means base-paired or protein-bound; or detecting whether an RNA populates more than one structure.
bio-uniprot-access GPTomics/bioSkills · score 65/100 (grade C)
Query UniProt's REST API (post-2022 endpoint at rest.uniprot.org) for protein sequences, annotations, GO terms, cross-references, ID mappings, and proteomes. Use when fetching UniProtKB entries, navigating the JSON schema, choosing between UniProtKB/UniRef/UniParc/Proteomes resources, deciding stream vs search endpoint for batch retrieval, running ID-mapping jobs with the async pattern, handling isoform suffixes, or filtering reviewed Swiss-Prot vs auto-annotated TrEMBL. Encodes the legacy URL migration (2022), the new JSON schema layout, and bulk-pull patterns.
brave-search badlogic/pi-skills · score 65/100 (grade C)
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
creating-oracle-to-postgres-master-migration-plan github/awesome-copilot · score 65/100 (grade C)
Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies.
database-migrations-migration-observability sickn33/antigravity-awesome-skills · score 65/100 (grade C)
Migration monitoring, CDC, and observability infrastructure
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.
gke-ai-troubleshooting-tpu-performance-degradation google/skills · score 65/100 (grade C)
Diagnose GKE Cloud TPU training throughput drops and step-time regressions (15%+ TPU duty-cycle drop) using ML Diagnostics Workload Monitoring (`gcloud alpha mldiagnostics monitored-events` / `hypercomputecluster.googleapis.com/v1alpha`) and 1-minute Cloud Monitoring system metrics (`kubernetes.io/node/accelerator/*`). Distinguishes hardware and network fabric throttling from workload resource bottlenecks (HBM capacity, host memory, or host CPU saturation). Use when TPU training throughput or duty cycle drops without crashing pods, when `PERFORMANCE_DEGRADATION` monitored events fire, or when triaging slow multi-slice training steps. Don't use for complete multi-slice XLA execution stalls with `HANG_DETECTED` logs (use gke-ai-troubleshooting-tpu-mxla-hang) or pod eviction/interruption restarts (use gke-ai-troubleshooting-jobset-interruption).
google-cloud-solution-rag-enterprise-search-gke-sqldb google/skills · score 65/100 (grade C)
Discovers requirements, and generates architectural, design, and deployment guidance for a retrieval-augmented generation (RAG)-capable enterprise search system in Google Cloud. Use when users need a vector-enabled SQL database as the store and index for the embedding vectors, an open model and open-source inferencing framework, and Kubernetes containers to host all the application components. DON'T use this skill for fully-managed RAG, or SaaS search services, or when a non-SQL vector database is required.
hormuz-strait himself65/finance-skills · score 65/100 (grade C)
Check the live status of the Strait of Hormuz from the Hormuz Strait Monitor dashboard: open, restricted, or closed status, tanker transits vs normal, stranded vessels, Brent price impact, war-risk insurance levels, cargo throughput, tanker freight rates, diplomatic developments, and global trade impact. Use this skill whenever the user asks about the Strait of Hormuz or the Persian Gulf in the context of oil, shipping, or geopolitical risk — whether Hormuz is open, chokepoint or transit disruption, Gulf tanker traffic, war-risk premiums, Middle East shipping routes, or energy supply-chain risk.
process-letter anthropics/financial-services · score 65/100 (grade C)
Draft process letters and bid instructions for sell-side M&A processes. Covers initial indication of interest (IOI) instructions, final bid procedures, and management meeting logistics. Triggers on "process letter", "bid instructions", "IOI letter", "bid procedures", "final round letter", or "management meeting invite".
pwn-chain sickn33/antigravity-awesome-skills · score 65/100 (grade C)
Go from reverse engineering to a working exploit: stack/heap/kernel pwn workflows with pwntools, libc-database, ROP, and stabilization from CTF to authorized remote targets.
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.
strict-api alirezarezvani/claude-skills · score 65/100 (grade C)
Use when the user says 'no hallucinations', 'verify APIs', 'reality check', or 'don't invent functions'. Prevents the agent from calling methods, imports, or variables that do not provably exist in the user's installed version.
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.
tradingview-mcp himself65/finance-skills · score 65/100 (grade C)
Query TradingView market data through the bundled tradingview MCP server without a desktop app or login. Use whenever the user wants a technical analysis readout (RSI, MACD, Bollinger rating, BUY/SELL summary), multi-timeframe alignment (weekly→daily→4h→1h→15m), exchange-wide scans (Bollinger squeeze, volume breakout, consecutive candles, smart volume), top gainers/losers by exchange, futures market data (NQ/ES/CL/GC overview, overnight movers, category snapshots), pre-market / after-hours quotes, a quick options chain or unusual options activity (volume/OI by strike), bulk stock prices, a global market snapshot, strategy backtests (Sharpe, drawdown, win rate), or crypto exchange scans. Triggers include "TA on X", "multi-timeframe read", "BB squeeze scan", "futures movers", "NQ overnight", "pre-market price", "unusual options activity", "backtest RSI on AAPL", and "top gainers on NASDAQ". For options greeks, watchlists, alerts, or chart screenshots use tradingview-reader instead.
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-ecological-genomics-landscape-genomics GPTomics/bioSkills · score 64/100 (grade D)
Tests genotype-environment associations and identifies adaptive loci while correcting for the four-confound landscape (structure, demography, background selection, sampling design) using LFMM2 with mandatory K via sNMF cross-entropy elbow (LEA 3), BayPass Core/AUX/C2/IS with Omega covariance matrix, RDA / pRDA for polygenic adaptation (Forester 2018; requires imputed genotypes), OutFLANK with trimmed FST null, pcadapt, gradient forests (Ellis-Smith-Pitcher 2012, NOT mis-cited Ellis-Manel), Capblancq & Forester 2021 RDA Swiss-army-knife, genomic-offset prediction with Lind & Lotterhos 2025 three-regime caveat, Lotterhos-Whitlock sampling optima, Wang & Bradburd 2014 IBD vs IBE, and Circuitscape + ResistanceGA. Use when identifying adaptive loci across gradients, choosing K for LFMM2, deciding among GEA methods, predicting maladaptation with the novel-environment caveat, distinguishing IBD vs IBE, or optimizing sampling design.
bio-epitranscriptomics-m6a-differential GPTomics/bioSkills · score 64/100 (grade D)
Identifies differential m6A methylation between conditions from MeRIP-seq paired IP/input data using exomePeak2 (GC-bias-aware differential via its bam_ip/bam_input control + bam_treated_ip/bam_treated_input treatment arms), QNB beta-binomial, MeTDiff HMM, and RADAR, plus the paired-symmetric edgeR/DESeq2-on-peak-counts route when batch/lot covariates need fixed-effect handling that exomePeak2's API does not accept. Covers paired vs unpaired vs interaction designs, batch confounding and per-lot meta-analysis, the stoichiometry-vs-expression-vs-IP-efficiency confound, and effect-size filtering against under-powered N=2 designs. Use when comparing m6A across two or more conditions, choosing between exomePeak2/QNB/RADAR/MeTDiff for a design, handling batch confounding when exomePeak2's API is too rigid, distinguishing real hyper/hypo-methylation from expression shifts, applying effect-size thresholds, or planning orthogonal stoichiometry validation (GLORI/SAC-seq/m6Anet mod_ratio).
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-overlap-significance GPTomics/bioSkills · score 64/100 (grade D)
Tests whether two genomic interval sets overlap (colocalize) more than expected by chance using a permutation test against a structured-genome null model. Covers bedtools fisher (analytic 2x2 screen), bedtools shuffle + jaccard permutation, GAT (isochore/GC-conditioned simulation with FDR), regioneR (flexible permutation, randomizeRegions vs circularRandomizeRegions, localZScore), LOLA (universe-relative Fisher against a region database), and GREAT/rGREAT (regulatory-domain binomial + hypergeometric for ontology-from-regions). Stresses the universe/background choice, matched background, blacklist exclusion, and multiple-testing control. Use when asking whether peaks/regions are enriched at enhancers/TFBS/features, scoring region-set colocalization or region-set enrichment, comparing CNV/SV concordance, or turning an overlap count into a defensible p-value.
bio-hi-c-analysis-contact-pairs GPTomics/bioSkills · score 64/100 (grade D)
Turns Hi-C/Micro-C FASTQ into a deduplicated, filtered .pairs file with pairtools and decides whether the library worked. Covers the bwa mem -SP5M / bwa-mem2 / chromap --preset hic alignment idiom (mates mapped as independent single-end reads), pairtools parse vs parse2 and the walks-policy choice (5unique pairwise vs all for Pore-C/Micro-C concatemers), pair-type classification (keep UU and rescued UC), dedup (PCR vs optical/by-tile), select by pair_type/MAPQ/distance, restriction-fragment handling (restrict, Arima dual-enzyme, Micro-C/DNase fragment-free), and allele-specific phasing (pairtools phase to two coolers). The library-QC decision uses % long-range cis as the one-number quality metric, trans as the noise floor, orientation balance as fragment-map-free dangling-end/self-circle QC, and % duplicates as a complexity proxy. Use when processing Hi-C/Micro-C/Omni-C reads into pairs, judging library quality, handling multi-enzyme or restriction-agnostic protocols, or generating allele-specific contacts.
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-primer-design-primer-basics GPTomics/bioSkills · score 64/100 (grade D)
Designs and ranks PCR primer pairs for a target template with primer3-py (design_primers), returning pairs with nearest-neighbor Tm, GC, product size, and complementarity scores. Covers why primer3 is a LOCAL weighted-penalty minimizer over the single template supplied (so PRIMER_PAIR_0 is the lowest-penalty pair under the given bounds, never a genome-specificity guarantee), why Tm is a salt/concentration-dependent SantaLucia prediction not a fixed property, why the two primers must be Tm-matched, the seq_args/global_args tag semantics (SEQUENCE_TARGET/INCLUDED/EXCLUDED/OVERLAP_JUNCTION/FORCE_*, 0-based [start,length]), 3'-end and GC-clamp mechanism, 5'-tail handling, masking SNPs under 3' ends, and diagnosing zero-pair runs. Use when designing standard PCR, cloning, genotyping, or sequencing primers, flanking a target, or screening pairs by Tm/size/GC. Genome off-target checking is primer-specificity; dimers/hairpins primer-validation; qPCR and probes qpcr-primers.
documentation-lookup affaan-m/ECC · score 64/100 (grade D)
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
documentation-lookup affaan-m/everything-claude-code · score 64/100 (grade D)
Use up-to-date library and framework docs via Context7 MCP instead of training data. Activates for setup questions, API references, code examples, or when the user names a framework (e.g. React, Next.js, Prisma).
fintel-data himself65/finance-skills · score 64/100 (grade D)
Query Fintel (fintel.io) institutional market data through its REST API or official MCP server. Use this skill whenever the user mentions Fintel or asks about short interest, short interest ratio or days to cover, short squeeze data, borrow rate or cost to borrow, shares available to borrow, daily short volume, fails-to-deliver (FTD), 13F institutional owners ("who owns X"), insider buying or selling from SEC Form 3/4/5, analyst price targets, ratings and forecasts, dividend or earnings history and calendars, EOD or last prices, security lookup by ticker, CUSIP, ISIN, or FIGI, Fintel leaderboards, or their Fintel watchlists and alerts. Read-only: GET endpoints only.
food-database-query sickn33/antigravity-awesome-skills · score 64/100 (grade D)
Food Database Query
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.
junta-leiloeiros sickn33/antigravity-awesome-skills · score 64/100 (grade D)
Consulta e coleta assistida de registros públicos de leiloeiros nas 27 rotas estaduais; cobertura e atualidade exigem validação. Scraper multi-UF, banco SQLite, API FastAPI e exportacao CSV/JSON.
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.
postgres-patterns affaan-m/ECC · score 64/100 (grade D)
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices. Use when designing PostgreSQL schemas, indexes, or RLS policies, or when a query is too slow.
postgres-patterns affaan-m/everything-claude-code · score 64/100 (grade D)
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices. Use when designing PostgreSQL schemas, indexes, or RLS policies, or when a query is too slow.
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.
react18-legacy-context github/awesome-copilot · score 64/100 (grade D)
Provides the complete migration pattern for React legacy context API (contextTypes, childContextTypes, getChildContext) to the modern createContext API. Use this skill whenever migrating legacy context in class components - this is always a cross-file migration requiring the provider AND all consumers to be updated together. Use it before touching any contextTypes or childContextTypes code, because migrating only the provider without the consumers (or vice versa) will cause a runtime failure. Always read this skill before writing any context migration - the cross-file coordination steps here prevent the most common context migration bugs.
00-andruia-consultant sickn33/antigravity-awesome-skills · score 63/100 (grade D)
Usar al iniciar o mejorar un proyecto de IA: diagnostica código y restricciones, propone skills existentes y redacta tareas y un plan de implementación en español.
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)
aspnet-minimal-api-openapi github/awesome-copilot · score 63/100 (grade D)
Create ASP.NET Minimal API endpoints with proper OpenAPI documentation
bio-clinical-biostatistics-survival-analysis GPTomics/bioSkills · score 63/100 (grade D)
Performs time-to-event analysis for clinical trials including Cox proportional hazards regression with PH diagnostics, restricted mean survival time (RMST) under non-PH, competing risks via Fine-Gray vs cause-specific Cox, weighted log-rank and MaxCombo for non-proportional hazards, recurrent events (Andersen-Gill, PWP, WLW), and interval-censored data. Use when analyzing time-to-event endpoints (OS, PFS, DOR, TTR, TTNT) in oncology or other clinical trials.
bio-crispr-screens-copy-number-correction GPTomics/bioSkills · score 63/100 (grade D)
Corrects the gene-independent copy-number artifact in CRISPR-Cas9 screens (Aguirre 2016 / Munoz 2016 Cancer Discov) where amplified loci appear essential from DNA-damage burden of simultaneous cuts. Covers the gene-independent DNA-damage / G2-arrest mechanism, CRISPRcleanR (Iorio 2018) unsupervised pre-hoc correction, CERES (Meyers 2017) joint CN + gene-effect model, Chronos (Dempster 2021) DepMap-standard population-dynamics + CN model with lowest residual bias, the decision tree by data availability, the Spearman LFC-vs-CN diagnostic, focal-amplification examples (ERBB2 in HER2+, MYC in colorectal, FGFR1 in head and neck), and CRISPRi/a alternatives that bypass the artifact. Use when screening cancer cell lines, diagnosing essentiality at amplified loci, choosing CRISPRcleanR / CERES / Chronos, deciding whether CN correction is needed before MAGeCK / BAGEL2 / drugZ, or switching from Cas9 to CRISPRi.
bio-experimental-design-batch-design GPTomics/bioSkills · score 63/100 (grade D)
Designs genomics experiments so technical nuisance variation (batch, lane, plate, flow cell, operator, reagent lot, processing day) is balanced against the biological variable of interest and therefore estimable rather than confounded, using constrained sample-to-batch assignment (designit, OSAT), the confounder/mediator/collider distinction, and the principle that no post-hoc correction recovers a fully confounded design. Covers detecting hidden batches with surrogate variable analysis, a decision table for downstream correction (ComBat-seq, RUVSeq, SVA) whose execution is deferred to differential-expression/batch-correction, and reproducibility metadata. Use when assigning samples to sequencing batches/lanes/plates, avoiding batch-condition confounding, deciding whether a design is salvageable by correction, choosing a correction method, or estimating the number of hidden batches. For the experimental unit, randomization, and blocking concepts see experimental-design/randomization-blocking.
bio-gene-regulatory-networks-scenic-regulons GPTomics/bioSkills · score 63/100 (grade D)
Infer transcription factor regulons from single-cell RNA-seq with pySCENIC by combining GRNBoost2 co-expression, cisTarget motif-enrichment pruning, and AUCell per-cell activity scoring. Covers the motif-pruning-as-directionality principle, regulon specificity scoring, run-to-run stability, and database/species matching. Use when identifying TF regulons, scoring TF activity per cell, finding master regulators of cell identity, or comparing regulon activity across conditions. For enhancer-driven multiomic GRNs see multiomics-grn; for bulk inference and VIPER protein-activity see grn-inference.
bio-immunoinformatics-tcr-epitope-binding GPTomics/bioSkills · score 63/100 (grade D)
Infer or annotate TCR antigen specificity by unsupervised clustering (TCRdist/tcrdist3, GLIPH2, clusTCR, GIANA) and database lookup (VDJdb, IEDB, McPAS-TCR), and rank candidates with supervised predictors (ERGO-II, NetTCR-2.x, pMTnet) under explicit caveats. Encodes the central truth that general TCR-epitope prediction for UNSEEN epitopes essentially does not work (collapses to near-random; IMMREP22, Grazioli 2022) because labeled data is dominated by a few immunodominant epitopes and there is no true negative set — so clustering for discovery is the honest task and de-novo binding needs wet-lab validation. Use when annotating TCR specificity or grouping a repertoire. Epitope/MHC context lives in mhc-binding-prediction.
bio-phasing-imputation-genotype-imputation GPTomics/bioSkills · score 63/100 (grade D)
Imputes untyped genotypes against a phased reference panel with Beagle, Minimac4, or IMPUTE5 (array data) or from genotype likelihoods with GLIMPSE2, QUILT2, or STITCH (low-coverage WGS), producing per-variant dosages (DS) with a self-estimated quality (Beagle DR2, Minimac R2, IMPUTE INFO). Covers why the honest output is a dosage posterior not a hard call, why GWAS regresses on DS, why the quality metric is an ESTIMATE of r2 from posterior spread (not validation against truth), the DS/GP/HDS fields, the phasing prerequisite, chunking, chrX ploidy, the Michigan/TOPMed servers (the only access to HRC/TOPMed), and low-coverage WGS as the modern array replacement. Use when increasing variant density for GWAS, harmonizing arrays, inferring untyped variants, or imputing low-coverage sequence. Phase first with haplotype-phasing; prepare the panel with reference-panels; filter with imputation-qc; the GWAS test is population-genetics/association-testing; end-to-end orchestration is workflows/gwas-pipeline.
bio-population-genetics-association-testing GPTomics/bioSkills · score 63/100 (grade D)
Single-variant common-variant GWAS with plink2 --glm (linear/logistic, Firth) and the linear mixed models GEMMA, BOLT-LMM, SAIGE, regenie (SPA). A GWAS statistic is valid only when genotype is independent of unmodeled phenotype drivers after the chosen covariates and random effects, so the engine follows sample structure and case:control imbalance, not taste: PC covariates absorb continuous ancestry but cannot remove relatedness (a covariance structure needing an LMM), genomic inflation above 1 is mostly true polygenic signal not confounding (the LDSC intercept is the diagnostic), LOCO prevents proximal contamination, and SPA/Firth keep the tail calibrated at extreme imbalance and low MAC. Use when running single-variant GWAS, choosing between a GLM and a mixed model, or controlling stratification, relatedness, and case:control imbalance. For rare-variant aggregation (burden, SKAT, SKAT-O, ACAT) see rare-variant-association; fine-mapping and MR see causal-genomics; PRS see clinical-databases/polygenic-risk.
bio-spatial-transcriptomics-spatial-deconvolution GPTomics/bioSkills · score 63/100 (grade D)
Estimates per-spot cell type composition of spatial transcriptomics mixtures (Visium, Slide-seq, Stereo-seq) from an scRNA-seq reference with cell2location, RCTD, SPOTlight, stereoscope, SpatialDWLS, or reference-free STdeconvolve. Use when deciding whether a platform even needs deconvolution (the resolution fork -- a 55um Visium spot is a 1-10-cell MIXTURE -> deconvolve, but a Xenium/MERFISH/CosMx cell is already single -> segment instead, and running deconvolution there invents fractions that do not exist); choosing cell2location (absolute abundance) vs RCTD/SPOTlight/stereoscope/SpatialDWLS (proportions only) by output and runtime; matching the scRNA reference to tissue and condition (the reference IS the result -- a missing cell type is silently misassigned to its nearest neighbor with no error flag); and handling compositional outputs that sum to 1 with CLR/ILR rather than naive per-type t-tests.
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-tcr-bcr-analysis-specificity-annotation GPTomics/bioSkills · score 63/100 (grade D)
Maps TCR/BCR receptor sequences toward candidate antigen specificity and clusters repertoires by shared-specificity signal, while enforcing that a database match or a cluster label is a HYPOTHESIS, not a specificity call. Use when deciding among database annotation (VDJdb/McPAS/IEDB+TCRMatch, requiring V-gene and HLA concordance plus a confidence score) versus sequence clustering (tcrdist3 meta-clonotypes, GLIPH2, GIANA, clusTCR, which find enrichment not per-receptor labels) versus generation-probability nulls (OLGA Pgen, IGoR, SONIA Ppost) for testing public/convergent/shared claims; and when guarding against overclaiming specificity, base-rate false positives from bare CDR3 matches, unpaired beta-only annotation, ML predictor failure on unseen epitopes, and ignored MHC restriction. TCR-focused with a BCR/antibody note (SHM, conformational epitopes, IGHV3-53/3-66 public clonotypes). Keywords CDR3, pMHC, HLA restriction, cross-reactivity, meta-clonotype, Pgen, public clonotype, convergent recombination.
bio-workflows-proteomics-pipeline GPTomics/bioSkills · score 63/100 (grade D)
Orchestrates bottom-up proteomics from a search engine's output (MaxQuant/FragPipe/DIA-NN) to differential protein abundance with limma/DEqMS/MSstats. Use when committing the search database + acquisition mode (DDA vs DIA) up front, re-controlling FDR at PSM AND peptide AND protein-group level (not just PSM), removing contaminant/reverse rows and inspecting RAW distributions before normalizing, bridging cross-plex TMT with an IRS reference channel, modeling MNAR missingness rather than downshift-imputing on/off proteins, batching as a covariate (not pre-subtracted), and testing with treat()/DEqMS. Hands mechanism to the proteomics component skills; not a re-teach of any single step.
connect ComposioHQ/awesome-claude-skills · score 63/100 (grade D)
Connect Claude to any app. Send emails, create issues, post messages, update databases - take real actions across Gmail, Slack, GitHub, Notion, and 1000+ services.
nutrient-document-processing affaan-m/ECC · score 63/100 (grade D)
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images. Use when converting, OCRing, extracting from, redacting, signing, or filling documents via the Nutrient DWS API.
nutrient-document-processing affaan-m/everything-claude-code · score 63/100 (grade D)
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images. Use when converting, OCRing, extracting from, redacting, signing, or filling documents via the Nutrient DWS API.
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.
safety-guard affaan-m/ECC · score 63/100 (grade D)
Guard against destructive operations with three modes: Careful intercepts dangerous commands (rm -rf, git push --force, DROP TABLE) for confirmation, Freeze locks writes to one directory, and Guard combines both. Advisory: the agent applies these rules itself; no hook ships with it. Use when working on production systems, running agents autonomously, restricting edits to a directory, or during migrations, deploys, and data changes.
safety-guard affaan-m/everything-claude-code · score 63/100 (grade D)
Guard against destructive operations with three modes: Careful intercepts dangerous commands (rm -rf, git push --force, DROP TABLE) for confirmation, Freeze locks writes to one directory, and Guard combines both. Advisory: the agent applies these rules itself; no hook ships with it. Use when working on production systems, running agents autonomously, restricting edits to a directory, or during migrations, deploys, and data changes.
security-guidance alirezarezvani/claude-skills · score 63/100 (grade D)
PreToolUse security-anti-pattern hook for Claude Code. Catches 12 common security risks (command injection, XSS, SQL injection, unsafe deserialization, GitHub Actions workflow injection, eval/new Function code injection) BEFORE the Edit/Write/MultiEdit operation completes. Session-state caching prevents duplicate warnings on the same file+rule combo. Stdlib only — no dependencies. Use when you want a safety net during Claude Code sessions that touch security-sensitive code (auth, payments, user input handling, IaC). Disable with ENABLE_SECURITY_REMINDER=0 if you need to perform a verified-safe operation that would otherwise trip a pattern. Triggers — "add security hook", "block unsafe code", "detect command injection before write", "prevent SQL injection patterns", "security warning hook".
using-entire entireio/skills · score 63/100 (grade D)
Use as the FIRST action on any research, investigation, or codebase-understanding request — "research X", "investigate X", "look into X", "dig into X", "search X", "explore X", "understand X", "why is this like this" — before Glob, Grep, or Read. Recorded intent lives in Entire checkpoints on the server, not in local files, so an empty or unfamiliar working copy is not a reason to skip it. Routes to the right Entire sub-skill (search, recall, explain, what-happened, replay, teach, review, session-handoff).
write-swift emilkowalski/skills · score 63/100 (grade D)
How to write modern Swift well — modeling with value types, Swift 6 data-race safety and approachable concurrency (@concurrent, main-actor-by-default, actors, task groups), protocols and generics (some vs any), API design, performance and ARC, Swift Testing, macros, and the modern language features agents don't know about yet. Use when writing, reviewing, or migrating Swift, or when a concurrency error, a hang, a data race, a retain cycle, or a performance problem needs fixing.
bio-clinical-databases-tumor-mutational-burden GPTomics/bioSkills · score 62/100 (grade D)
Calculates tumor mutational burden from WES/WGS/panel data with Friends of Cancer Research harmonization equations, per-assay calibration (FDA 10/Mb = 7.8 TSO500 = 8.4 OncomineTML), synonymous/indel/germline filtering, hypermutator tiering, blood TMB, and integration with HLA-LOH and neoantigen quality (Luksza 2017 fitness). Use when assessing ICI eligibility under tumor-specific cutoffs (McGrail 2021), comparing tissue vs bTMB, or auditing TMB-H reporting against ESMO 2024 and FDA pembrolizumab pan-tumor 2020.
bio-metabolomics-xcms-preprocessing GPTomics/bioSkills · score 62/100 (grade D)
Programmatic untargeted LC-MS feature extraction in R with the modern xcms 4.x MsExperiment/XcmsExperiment API, taking raw mzML to a feature table via CentWave peak detection, retention-time alignment, peak-density correspondence, gap-filling, CAMERA redundancy collapse, and built-in QC feature filtering. Use when converting centroided LC-MS runs into a features-by-samples matrix and deciding centWave/grouping/alignment parameters. For drift correction and QC/CV filtering execution see metabolomics/normalization-qc; for metabolite identification see metabolomics/metabolite-annotation; for the MS-DIAL GUI alternative with MS2Dec deconvolution see metabolomics/msdial-preprocessing; for downstream statistics see metabolomics/statistical-analysis.
bio-temporal-genomics-differential-rhythmicity GPTomics/bioSkills · score 62/100 (grade D)
Compares how a rhythm CHANGES between conditions, genotypes, treatments, tissues, or ages (differential rhythmicity), classifying each feature as gain-of-rhythm, loss-of-rhythm, phase change, amplitude change, unchanged-rhythmic, or arrhythmic-in-both, and distinguishing differential EXPRESSION (condition main effect) from differential RHYTHMICITY (condition x time interaction). Uses model-based approaches that borrow strength across conditions - LimoRhyde (sin/cos interaction terms in a limma/edgeR/DESeq2 design), dryR (BIC model selection across >=2 conditions), compareRhythms (direct gain/loss/change/same classification), DODR, CircaCompare - instead of the detect-then-Venn anti-pattern that overestimates reprogramming. Use when testing whether rhythms differ between conditions/genotypes/tissues/ages, classifying gain/loss/phase/amplitude change, or separating differential expression from differential rhythmicity. Not for detecting rhythms in one condition (see temporal-genomics/circadian-rhythms).
bio-temporal-genomics-temporal-grn GPTomics/bioSkills · score 62/100 (grade D)
Infers directed, time-delayed gene regulatory edges from BULK time-series expression using Granger causality (statsmodels VAR F-test), dynGENIE3 (tree ensembles regressing ODE-derived derivatives; Random Forests by default, Extra-Trees optional), and dynamic Bayesian networks (bnlearn). Use when the output is a RANKED HYPOTHESIS list for perturbation validation, not validated causal edges; deciding Granger vs dynGENIE3 vs DBN by timepoint count and linearity; sizing maxlag against the n>3*maxlag+1 degrees-of-freedom floor; handling stationarity/differencing before Granger; restricting regulators to known TFs; and comparing network rewiring across conditions at matched edge density. Not for single-cell pseudotime GRNs (see gene-regulatory-networks/scenic-regulons) or static co-expression (see gene-regulatory-networks/coexpression-networks).
cloud-sql-basics google/skills · score 62/100 (grade D)
This file generates or explains Cloud SQL resources. Use this file when the user asks to create a Cloud SQL instance or database for MySQL, PostgreSQL, or SQL Server. Cloud SQL manages third-party MySQL, PostgreSQL, and SQL Server instances as resources in Cloud SQL. For example, when Cloud SQL creates an open-source MySQL instance, the resulting resource is a Cloud SQL for MySQL instance that Google Cloud manages. Cloud SQL handles backups, high availability, and secure connectivity for relational database workloads.
freeze garrytan/gstack · score 62/100 (grade D)
Restrict file edits to a specific directory for the session. (gstack)
GroqCloud Automation ComposioHQ/awesome-claude-skills · score 62/100 (grade D)
Automate AI inference, chat completions, audio translation, and TTS voice management through GroqCloud's high-performance API via Composio
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.
migrating-oracle-to-postgres-stored-procedures github/awesome-copilot · score 62/100 (grade D)
Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies explicit collation mapping (`COLLATE "C"` only when appropriate, locale collations when required). Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
OpenAI Automation ComposioHQ/awesome-claude-skills · score 62/100 (grade D)
Automate OpenAI API operations -- generate responses with multimodal and structured output support, create embeddings, generate images, and list models via the Composio MCP integration.
react18-enzyme-to-rtl github/awesome-copilot · score 62/100 (grade D)
Provides exact Enzyme → React Testing Library migration patterns for React 18 upgrades. Use this skill whenever Enzyme tests need to be rewritten - shallow, mount, wrapper.find(), wrapper.simulate(), wrapper.prop(), wrapper.state(), wrapper.instance(), Enzyme configure/Adapter calls, or any test file that imports from enzyme. This skill covers the full API mapping and the philosophy shift from implementation testing to behavior testing. Always read this skill before rewriting Enzyme tests - do not translate Enzyme APIs 1:1, that produces brittle RTL tests.
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.
bio-clinical-biostatistics-effect-measures GPTomics/bioSkills · score 61/100 (grade D)
Computes and interprets treatment effect measures (OR, RR, RD, HR, NNT) with calibrated confidence intervals (Wilson, Newcombe, Miettinen-Nurminen, MOVER, profile likelihood, Bender NNT) and reports marginal vs conditional estimands per FDA 2023 covariate adjustment guidance. Use when reporting treatment effects in confirmatory trials, comparing effect sizes across studies, or constructing forest plots.
bio-clinical-biostatistics-subgroup-analysis GPTomics/bioSkills · score 61/100 (grade D)
Performs subgroup and heterogeneous treatment effect (HTE) analyses for clinical trials. Covers Mantel-Haenszel pooling, Breslow-Day, interaction tests in regression, RERI for additive interaction, modern data-adaptive HTE methods (STEPP, SIDES, causal forests, X/R-learners), Bayesian shrinkage (Dixon-Simon, MAP, EXNEX), graphical multiplicity (Bretz-Maurer), and credibility frameworks (Sun BMJ, EMA 2019). Use when analyzing treatment effects across patient subgroups for regulatory submissions or precision-medicine claims.
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-spatial-transcriptomics-spatial-communication GPTomics/bioSkills · score 61/100 (grade D)
Maps cell-cell communication and ligand-receptor co-expression in spatial transcriptomics (Visium, Xenium, MERFISH, CosMx, Slide-seq) with Squidpy ligrec, COMMOT, stLearn, CellChat-spatial, and NicheNet. Use when choosing a method by whether spatial distance is actually modeled (squidpy ligrec is space-blind cluster-permutation vs COMMOT optimal-transport is distance-aware vs stLearn neighborhood vs CellChat-spatial filter) and by secreted-vs-contact-dependent range; choosing the ligand-receptor database knowingly because it drives the result as much as the algorithm; guarding against segmentation-spillover circularity that fabricates short-range hits; treating every ligand-receptor score as a co-expression hypothesis on a confidence ladder, not validated signaling; correcting for thousands of pair-by-cell-type-pair permutation tests; and recognizing that a targeted imaging panel rarely contains the relevant ligands and receptors so a "no communication" call is uninformative.
clickhouse-io affaan-m/ECC · score 61/100 (grade D)
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads. Use when writing ClickHouse schemas or queries, or when an analytical query is too slow.
clickhouse-io affaan-m/everything-claude-code · score 61/100 (grade D)
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads. Use when writing ClickHouse schemas or queries, or when an analytical query is too slow.
fx-carry-trade anthropics/financial-services · score 61/100 (grade D)
Evaluate FX carry trade opportunities by combining spot rates, forward points, interest rate differentials, volatility surface analysis, and historical price trends. Use when analyzing carry trades, comparing FX forward curves, assessing carry-to-vol ratios, or evaluating currency pair opportunities.
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.
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.
surprise-me bytedance/deer-flow · score 61/100 (grade D)
Create a delightful, unexpected "wow" experience for the user by dynamically discovering and creatively combining other enabled skills. Triggers when the user says "surprise me" or any request expressing a desire for an unexpected creative showcase. Also triggers when the user is bored, wants inspiration, or asks for "something interesting".
swap-curve-strategy anthropics/financial-services · score 61/100 (grade D)
Analyze the interest rate swap curve by pricing swaps at multiple tenors, overlaying government and inflation curves, and identifying curve trade opportunities. Use when analyzing swap curves, computing swap spreads, decomposing real rates, identifying steepener/flattener/butterfly trades, or comparing swap rates across currencies.
bio-ecological-genomics-conservation-genetics GPTomics/bioSkills · score 60/100 (grade D)
Assesses genetic health of populations for conservation with Ne estimation across time horizons (LDNe NeEstimator V2 option-file API + SNeP physical-linkage correction; recent trajectory via GONE/GONE2; deep history via Stairway Plot 2 / dadi / fastsimcoal2 / PSMC), F-statistics, runs of homozygosity binned by length class to date inbreeding, genetic-load decomposition (Bertorelle 2022 realized vs masked), the modern 100/1000 Ne rule (Frankham 2014), Ne/Nc 2-6 orders of magnitude in marine fish (Hauser & Carvalho 2008), tree-sequence forward simulations (SLiM 4 + pyslim + tskit), and the Sukumaran-Knowles caveat against MSC methods for management-unit definition. Use when estimating Ne by time horizon, detecting inbreeding via F_ROH, decomposing genetic load, justifying conservation thresholds, distinguishing ESU/MU/DPS, configuring NeEstimator V2, or correcting LDNe physical linkage.
bio-experimental-design-randomization-blocking GPTomics/bioSkills · score 60/100 (grade D)
Structures biological experiments so inference is valid by construction, covering Fisher's principles (randomization, replication, local control), the experimental-vs-observational unit distinction and pseudoreplication (Hurlbert 1984; Lazic 2018), randomization mechanics (complete, restricted, stratified, rerandomization, run-order), blocking layouts (randomized complete block, Latin square, incomplete block), factorial designs and interactions, and the split-plot/nested error strata hidden inside multi-batch genomics. Use when deciding the experimental unit and what counts as a replicate, planning randomization and run order, choosing a blocked/factorial/split-plot/nested layout, avoiding pseudoreplication in cell-culture or animal studies, or specifying the random-effects structure of the analysis model. For assigning samples to sequencing batches/lanes/plates and batch-effect correction see experimental-design/batch-design; for regulated clinical-trial randomization see clinical-biostatistics.
bio-genome-annotation-prokaryotic-annotation GPTomics/bioSkills · score 60/100 (grade D)
Annotates bacterial and archaeal genomes (isolates, MAGs, plasmids) with Bakta (active versioned databases, NCBI-compliant output) or Prokka (legacy), producing GFF3/GenBank/EMBL/FASTA with INSDC locus tags. Covers Bakta-vs-Prokka-vs-PGAP-vs-DFAST choice, light-vs-full database tiers, translation-table selection (11/4/25), archaeal and leaderless-gene caveats, the small-ORF blind spot, pseudogene-vs-phase-variation, the pangenome re-annotation trap, and submission compliance. Use when annotating a newly assembled prokaryotic genome, choosing an annotation tool, re-annotating a collection for pangenomics, or preparing annotations for NCBI/DDBJ submission.
bio-microbiome-taxonomy-assignment GPTomics/bioSkills · score 60/100 (grade D)
Assigns taxonomy to amplicon ASVs/OTUs (16S, ITS, 18S) with a classifier conditioned on a reference database and primer region - DADA2 assignTaxonomy + addSpecies (RDP naive Bayes), DECIPHER IDTAXA, and QIIME2 q2-feature-classifier (classify-sklearn naive Bayes, classify-consensus-vsearch alignment-consensus). Covers region-specific training (extract-reads, fit-classifier-naive-bayes), why a full-length classifier fabricates calls on a V4 read, the scikit-learn version-pinning trap on pre-trained .qza classifiers, confidence thresholds (classify-sklearn 0.7, assignTaxonomy minBoot 50), and choosing SILVA/GTDB/Greengenes2/UNITE/PR2/RDP. Use when classifying ASVs after DADA2, picking a reference database, training a region-matched classifier, setting a confidence threshold, or deciding whether a 16S species call is defensible (usually not - genus at best). For shotgun read classification see metagenomics/kraken-classification and metagenomics/metaphlan-profiling.
claude-to-deerflow bytedance/deer-flow · score 60/100 (grade D)
Interact with DeerFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to DeerFlow for research/analysis, start a DeerFlow conversation thread, check DeerFlow status or health, list available models/skills/agents in DeerFlow, manage DeerFlow memory, upload files to DeerFlow threads, or delegate complex research tasks to DeerFlow. Also use when the user mentions deerflow, deer flow, or wants to run a deep research task that DeerFlow can handle.
migration JuliusBrussee/caveman · score 60/100 (grade D)
Implement reversible compatibility-safe transitions. Use for schema, data, API, protocol, configuration, or dependency migrations requiring rollback and preservation proof.
Neon Automation ComposioHQ/awesome-claude-skills · score 60/100 (grade D)
Automate Neon serverless Postgres operations -- manage projects, branches, databases, roles, and connection URIs via the Composio MCP integration.
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).
Snowflake Automation ComposioHQ/awesome-claude-skills · score 60/100 (grade D)
Automate Snowflake data warehouse operations -- list databases, schemas, and tables, execute SQL statements, and manage data workflows via the Composio MCP integration.
bigquery-ai-ml google/skills · score 59/100 (grade D)
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
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-clinical-biostatistics-missing-data GPTomics/bioSkills · score 59/100 (grade D)
Implements missing-data sensitivity analyses for confirmatory clinical trials including MMRM under MAR (with Kenward-Roger correction), reference-based multiple imputation (J2R, CR, CIR, LMCF per Carpenter-Roger 2013), Permutt delta-adjustment / tipping-point analysis, pattern-mixture identifying restrictions (CCMV, NCMV, ACMV), and the Cro vs Bartlett variance debate. Use when handling missing primary or secondary endpoint data in regulatory submissions following NRC 2010 and ICH E9(R1).
bio-clinical-databases-variant-prioritization GPTomics/bioSkills · score 59/100 (grade D)
Prioritizes rare-disease variants from trio/quad WES/WGS with de novo (DeNovoGear, Triodenovo), compound-heterozygous phasing (WhatsHap), mosaic VAF tiering, phenotype-driven ranking (Exomiser, Phen2Gene, AMELIE), ClinGen gene-disease validity gating, and ACMG SF v3.2 secondary findings reporting. Use when running diagnostic exome / genome pipelines, identifying candidate Mendelian disease genes, screening for incidental findings, or auditing VUS reclassification cycles. The ACMG/AMP classification framework (PVS1 decision tree, Pejaver PP3/BP4 calibration, Tavtigian point system) is in clinical-databases/acmg-classification.
bio-epidemiological-genomics-pathogen-typing GPTomics/bioSkills · score 59/100 (grade D)
Assigns isolate identity at the right resolution for the question -- ANI/Mash species triage, 7-locus MLST historical comparability, cgMLST/wgMLST outbreak resolution (chewBBACA, BIGSdb, Ridom SeqSphere, EnteroBase HierCC), in-silico serotyping (SISTR/SeqSero2 Salmonella, SerotypeFinder E. coli, Kaptive Klebsiella, SeroBA pneumococcus, spa+SCCmec S. aureus), and lineage callers (TB-Profiler/Mykrobe barcode for MTBC, Pangolin + Nextclade for SARS-CoV-2, PopPUNK GPSC for S. pneumoniae). Use when typing bacterial isolates for surveillance or outbreak investigation, choosing between cgMLST allele distance and core-SNP distance for cluster definition, harmonising calls across schemas/database versions, assigning MTBC lineage with the Napier 90-SNP barcode, calling Salmonella serovar via SISTR with monophasic Typhimurium awareness, running Pangolin UShER mode with pangolin-data version pinning, or selecting a typing resolution to match the surveillance question.
bio-structural-biology-alphafold-predictions GPTomics/bioSkills · score 59/100 (grade D)
Retrieves and interprets AlphaFold Protein Structure Database (AFDB) models by UniProt accession, reading pLDDT and PAE confidence correctly. Use when treating pLDDT as PER-RESIDUE confidence (not global accuracy) and recognizing a long low-pLDDT stretch as an intrinsically disordered region rather than a modeling error; reading PAE to segment confident domains and judge inter-domain/relative-position confidence that high mean pLDDT cannot certify; recognizing a static AFDB model carries NO ligands, ions, cofactors, PTMs, quaternary assembly, or alternative conformations (pLDDT sits in the B-factor column with opposite polarity to thermal motion); and deciding an AFDB entry vs re-running prediction. Keywords AlphaFold DB, pLDDT, PAE, B-factor column, intrinsic disorder, UniProt, Foldseek.
Dynamics 365 Automation ComposioHQ/awesome-claude-skills · score 59/100 (grade D)
Dynamics 365 Automation: manage CRM contacts, accounts, leads, opportunities, sales orders, invoices, and cases via the Dynamics CRM Web API
enterprise-agent-ops affaan-m/ECC · score 59/100 (grade D)
Operational controls for long-lived or cloud-hosted agent systems — runtime lifecycle (start, pause, stop, restart), observability (logs, metrics, traces), least-privilege safety scopes and kill switches, and rollout/rollback change management with audit logs and success/cost metrics. Use when running production agent fleets on PM2, systemd, or containers that need monitoring, incident response, or deployment gates.
enterprise-agent-ops affaan-m/everything-claude-code · score 59/100 (grade D)
Operational controls for long-lived or cloud-hosted agent systems — runtime lifecycle (start, pause, stop, restart), observability (logs, metrics, traces), least-privilege safety scopes and kill switches, and rollout/rollback change management with audit logs and success/cost metrics. Use when running production agent fleets on PM2, systemd, or containers that need monitoring, incident response, or deployment gates.
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.
idea-generation anthropics/financial-services · score 59/100 (grade D)
Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking for new ideas, running screens, or conducting thematic sweeps. Triggers on "idea generation", "stock screen", "find ideas", "what looks interesting", "screen for", "new ideas", or "pitch me something".
teaser anthropics/financial-services · score 59/100 (grade D)
Draft anonymous one-page company teasers for sell-side M&A processes. Creates a compelling summary without revealing the company's identity, designed to gauge buyer interest before NDA execution. Triggers on "teaser", "blind teaser", "anonymous profile", "one-pager for process", or "draft teaser for sell-side".
bio-clinical-databases-acmg-classification GPTomics/bioSkills · score 57/100 (grade D)
Applies ACMG/AMP 2015 framework with ClinGen SVI specifications, Tavtigian 2018/2020 Bayesian point system, Abou Tayoun 2018 PVS1 decision tree, Pejaver 2022 and Bergquist 2025 calibrated PP3/BP4 thresholds for REVEL/BayesDel/AlphaMissense, Brnich 2020 PS3/BS3 OddsPath, Walker 2023 SpliceAI splicing framework, and AMP/ASCO/CAP 2017 tumor tiers. Use when classifying germline variants P / LP / VUS / LB / B, applying VCEP-specific CSpec rules, computing Whiffin BS1, or assigning cancer Tier I-IV per Li 2017.
bio-clinical-databases-gnomad-frequencies GPTomics/bioSkills · score 57/100 (grade D)
Queries gnomAD v4 (807k samples), v3, v2.1.1, and constraint metrics with grpmax FAF95, bottleneck-group exclusion, LOEUF interpretation, SV/CNV/mtDNA catalogs, and Whiffin max-credible-AF framework. Use when filtering rare variants, applying ACMG BS1/BA1, ranking genes by LoF intolerance, or selecting between v2 (GRCh37 + chrX/Y constraint) and v4 (GRCh38 + 807k samples).
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).
postgresql-optimization github/awesome-copilot · score 56/100 (grade D)
PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.
rating-prompt-strategy Eronred/aso-skills · score 56/100 (grade D)
When the user wants to improve their app's star rating, increase ratings volume, optimize when and how they prompt users for a review, or recover from a bad rating period. Use when the user mentions "app rating", "star rating", "review prompt", "SKStoreReviewRequest", "In-App Review API", "ask for review", "low rating", "rating drop", "get more reviews", or "recover from 1-star". For responding to reviews, see review-management. For overall ASO health, see aso-audit.
cs-backend-review alirezarezvani/claude-skills · score 55/100 (grade D)
Backend engineering review — walks the 7 Matt Pocock forcing questions (read/write ratio + QPS, tenancy, sync vs async, data sensitivity, pattern, RPO/RTO, SLO), picks the language + pattern profile, forks into specialists (api-design-reviewer, database-designer, migration-architect, slo-architect). Invokes the cs-backend-engineer agent with context fork.
cs-engineer-grill alirezarezvani/claude-skills · score 55/100 (grade D)
Cross-role engineering grill — Matt Pocock 7 questions per role × 3 roles (fullstack / frontend / backend) = up to 21 forcing questions, one per turn, with canon citations and kill criteria. Default: ask which lane first; `--all` runs all 21.
cs-fullstack-review alirezarezvani/claude-skills · score 53/100 (grade D)
Fullstack engineering review — walks the 7 Matt Pocock forcing questions, picks the profile, forks into POWERFUL specialists (api-design-reviewer, database-designer, slo-architect). Invokes the cs-fullstack-engineer agent with context fork.
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.