Git Skills

Version control and repository management. This page lists all 324 Git 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 Git.

auto-pilot luongnv89/idd · score 95/100 (grade A)
Run an autonomous triage-resolve-review-merge loop to auto-pilot the GitHub issue backlog, resolving everything until done with zero prompts. Don't use for single-issue work (/issue-resolver), triage (/issue-triage), or PR review (/issue-pr-review).
auto-push luongnv89/skills · score 95/100 (grade A)
Generate a commit message, stage all changes, and push to remote after scanning for secrets, large files, and protected-branch risks. Skip for opening PRs, code review, or cutting releases/tags.
init-idd luongnv89/idd · score 95/100 (grade A)
Generate a .idd.yml by auto-detecting a repo's stack, test runner, and size. Use to init, setup, or configure IDD Stack, or set up IDD. Don't use for editing an existing .idd.yml, creating issues (use /issue-creator), or plain git/npm init.
issue-pr-review luongnv89/idd · score 95/100 (grade A)
Review a PR end-to-end with CI checks, fix cycles, and optional auto-merge. Use for PR review, cleanup, or readiness checks. Don't use for creating PRs, raw issue analysis, or non-PR code review.
cleanup-project luongnv89/skills · score 93/100 (grade A)
Prepare a git repo before new work: review uncommitted changes, fix .gitignore, delete merged branches, end on clean main, or inspect one branch before deciding. Don't use for dead code, commit-and-push, releases, LICENSE files, or git how-tos.
devops-pipeline luongnv89/skills · score 93/100 (grade A)
Configure pre-commit hooks and lean GitHub Actions for shift-left quality assurance. Use when adding or auditing CI/CD to maximize local test coverage and minimize CI cost. Skip for Terraform/K8s, deployment pipelines, or non-GitHub CI providers.
search-optimizer luongnv89/skills · score 93/100 (grade A)
Optimize a site or app for SEO, AI-bot search and app-store search in one run: detect web vs store, run each audit once, merge one prioritized report; fixes only via member gates. Don't use for one fix (seo-ai-optimizer, aso-marketing).
security-setup luongnv89/skills · score 93/100 (grade A)
Install local-first security hardening: pre-commit secret detection, offline dependency scans, static analysis, reports, and gated free CI. Use when hardening repos or adding security hooks. Don't use for incident response or cloud security reviews.
ship luongnv89/skills · score 93/100 (grade A)
Run a release end to end, autonomous by default: version bump everywhere, changelog, docs, landing page, tag, push, GitHub release, PyPI/npm. Use to ship, cut, or tag a release. Don't use for routine commits, pull requests, or marketplace publishing.
test-coverage luongnv89/skills · score 93/100 (grade A)
Generate unit tests for untested branches and edge cases. Use when coverage is low, CI flags gaps, or a release needs hardening. Not for integration/E2E suites, framework migrations, or fixing production bugs.
agent-config luongnv89/skills · score 92/100 (grade A)
Create, update, or audit AGENTS.md (default) or CLAUDE.md agent instructions: set up, prune, add a rule, or merge CLAUDE.md or .cursorrules into one file Claude Code, Codex, and Cursor all read. Don't use for READMEs, skills, or subagents.
codebase-modernizer luongnv89/skills · score 92/100 (grade A)
Audit a stale, inherited, or messy codebase — deps, bugs, security, tests, CI, docs, UI/UX — then emit a phased, testable modernization plan. Read-only: plans upgrades, never applies them. Not for single-PR review, PRD-to-tasks, or UX-only audits.
design-optimizer luongnv89/skills · score 92/100 (grade A)
Optimize a website or app design in one run: capture the page once, audit usability, UX/AX, virality and agent readiness, merge overlaps into one prioritized report, apply fixes on opt-in. Don't use for one lens (dont-make-me-think, ux-ax-review).
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.
well-formed luongnv89/asm · score 89/100 (grade B)
Review pull request diffs for code smells, style issues, and safety problems before merging.
dos-verify-done-claims sickn33/antigravity-awesome-skills · score 88/100 (grade B)
Before accepting an agent's 'done / shipped / fixed' claim, verify it against ground truth (git ancestry + the commit's own diff) using the DOS kernel's `dos verify` and `dos commit-audit` — never the agent's own narration.
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.
testdriver-e2e-testing sickn33/antigravity-awesome-skills · score 86/100 (grade B)
Build E2E tests with TestDriver.ai, the AI code reviewer that runs every pull request in a real desktop sandbox, finds bugs, and builds regression tests
ax-extract-workflow sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Reconstruct workflow behind a past coding-agent artifact using local ax sessions/commits/skills/tool traces. Use when asked how X was built.
code-review github/awesome-copilot · score 85/100 (grade B)
Review pull requests for repository fit, meaningful value, trustworthy provenance, differentiation, and maintainability in awesome-copilot.
five-axis-code-review sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Five-axis code review checklist (correctness, security, readability, performance, test coverage) producing actionable comments instead of style nitpicks. Use when the user asks to review code, a diff, or a pull request.
git-commit-message sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Generates conventional-commit messages from staged changes: type prefix + English imperative subject (≤50 chars) + optional body explaining why. Use when the user asks to write, generate, or polish a git commit message.
git-workflow sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Implement Git branching strategies, PR workflows, and release management
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.
repo-maintainer sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Audit and repair repository hygiene across artifacts, dependencies, CI, docs, Git state, and code-quality signals. Use for repository maintenance, cleanup, health checks, or pre-release hardening.
review-and-simplify-changes sickn33/antigravity-awesome-skills · score 85/100 (grade B)
Review a git diff or explicit file scope for reuse, code quality, efficiency, clarity, and standards issues, then optionally apply safe Codex-driven fixes.
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.
idea-refine sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one.
lamindb K-Dense-AI/claude-scientific-skills · score 84/100 (grade B)
Manages biological datasets and models with LaminDB, including artifact registration, lineage tracking, schema validation, Bionty ontology annotation, query/search, collections, branches, storage, and workflow integrations. Use for reproducible biological data curation or a LaminDB lakehouse.
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.
supercov sickn33/antigravity-awesome-skills · score 84/100 (grade B)
Measure line, branch and MC/DC coverage of a project's existing tests with the supercov CLI, then write small, focused tests for the code no test reaches.
ai-code-generation-guardrails sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Use when reviewing AI-generated code before merge or execution: plan AST/security checks, isolated behavior tests and evidence, with language-specific coverage limits.
git-workflow-and-versioning sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, or when you need to organize work across multiple parallel streams.
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.
planetscale sickn33/antigravity-awesome-skills · score 83/100 (grade B)
Operate MySQL-compatible databases on PlanetScale with branching workflows,
brag-sheet github/awesome-copilot · score 82/100 (grade B)
Turn vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result → evidence). Works standalone with zero dependencies. Trigger for: "brag", "log work", "what did I do", "backfill my work history", "performance review", "self-review", "self assessment", "write impact statement", "review prep", "promo packet", "promotion case", "weekly update", "status report", "accomplishments", "what did I ship", "I forgot to log my work", "summarize my work", "track my wins", "what should I highlight", "end of half", "career growth", "work journal", or any request to document, summarize, or organize work accomplishments.
commission-calculator Affitor/affiliate-skills · score 82/100 (grade B)
Calculate realistic affiliate earnings projections before committing to a program. Use this skill when the user asks about affiliate earnings, projecting income, calculating commissions, estimating how much they can make, comparing program payouts, or says "how much can I make promoting X", "calculate my affiliate income", "is this commission worth it", "how long to first $1000", "compare earnings between programs", "traffic to income calculator", "what conversion rate should I expect", "earnings estimate for affiliate program", "how many sales do I need".
create-pull-request warpdotdev/oz-skills · score 82/100 (grade B)
Create a GitHub pull request following project conventions. Use when the user asks to create a PR, submit changes for review, or open a pull request. Handles commit analysis, branch management, and PR creation using the gh CLI tool.
public-relations sickn33/antigravity-awesome-skills · score 82/100 (grade B)
When the user wants help with public relations, earned media, press coverage, journalist outreach, or media strategy (not pull requests).
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.
antigravity-maintainer-batch-release sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Run protected AAS maintainer sweeps, PR merge batches, resumable review, immutable distribution, Core checks, and scripted releases. Use for repository maintenance, main alignment, CLI/MCP/Workbench changes, or release work; not ordinary contribution tasks.
app-store-changelog sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Generate user-facing App Store release notes from git history since the last tag.
aws-cost-optimization sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Reduce AWS spend with rightsizing, autoscaling, commitment planning,
comprehensive-review-pr-enhance sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Generate structured PR descriptions from diffs, add review checklists, risk assessments, and test coverage summaries. Use when the user says "write a PR description", "improve this PR", "summarize my changes", "PR review", "pull request", or asks to document a diff for reviewers.
ecc-conventions affaan-m/ECC · score 81/100 (grade B)
Development conventions and patterns for ECC. JavaScript project with conventional commits.
ecc-conventions affaan-m/everything-claude-code · score 81/100 (grade B)
Development conventions and patterns for ECC. JavaScript project with conventional commits.
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.
pr-merge-champion sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Optimize pull requests for quick approval and merging by ensuring clean diffs, comprehensive self-reviews, and structured documentation.
smart-git-automation sickn33/antigravity-awesome-skills · score 81/100 (grade B)
Smart change detection, auto branch naming, and streamlined commit/PR workflow
ci-fix warpdotdev/oz-skills · score 80/100 (grade B)
Diagnose and fix GitHub Actions CI failures. Inspects workflow runs and logs, identifies root causes, implements minimal fixes, and pushes to a fix branch. Use when CI is failing, red, broken, or needs diagnosis.
datalad K-Dense-AI/claude-scientific-skills · score 80/100 (grade B)
Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance with datalad run, rerun, and containers-run. Use when cloning or fetching data from OpenNeuro, DANDI, datasets.datalad.org, or any DataLad dataset; when a file in a dataset reads as a broken symlink or a small pointer instead of real data; when an analysis needs a machine-readable record of how each output was produced so it can be re-executed; or when publishing a dataset to siblings such as a GitHub repository plus a storage remote. Also use to decide between DataLad and plain Git for a data-carrying repository.
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.
email-automation-builder Affitor/affiliate-skills · score 80/100 (grade B)
Build multi-sequence email automation flows with branching logic. Triggers on: "build email automation", "create email funnel", "email automation flow", "welcome series with branches", "conditional email sequence", "set up automation", "email workflow builder", "segmented email flow", "advanced email sequence", "nurture funnel", "cart abandonment sequence", "win-back email flow".
review-swarm sickn33/antigravity-awesome-skills · score 80/100 (grade B)
Parallel read-only multi-agent review of a current git diff or explicit file scope to find behavioral regressions, security or privacy risks, performance or reliability issues, and contract or test coverage gaps.
babysit-pr sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Babysit a pull request through its bot review rounds: verify, fix, reply,
docs-update warpdotdev/oz-skills · score 79/100 (grade C)
Update user-facing documentation when code changes. Use when asked to update docs, review docs, handle documentation changes, run scheduled documentation tasks, or analyze recent commits for documentation needs.
find-bugs sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Find bugs, security vulnerabilities, and code quality issues in local branch changes. Use when asked to review changes, find bugs, security review, or audit code on the current branch.
github-automation sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Operate GitHub issues, pull requests, branches, checks, workflows, and permissions through Rube MCP. Use when GitHub work must be queried or changed programmatically with repository-policy safeguards.
gitmoji github/awesome-copilot · score 79/100 (grade C)
Generates commit messages following the gitmoji convention (https://gitmoji.dev) — picks the right emoji for the intent of the change and writes a well-formed message. Use when asked to "write a gitmoji commit", "add an emoji to my commit message", "which gitmoji should I use", "gitmoji this change", or when a project uses gitmoji-style commit messages. Works from a git diff, staged changes, or a plain description of the change. Generates the message only — does not run git commands.
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.
push-skill-to-github sickn33/antigravity-awesome-skills · score 79/100 (grade C)
Commit and push skill changes to the configured skills repository after review and validation.
code-review-ai-ai-review sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Review pull requests with source inspection, available static analysis and evidence-backed AI assistance; report actionable bugs, security risks and unverified coverage.
code-review-and-quality sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch.
code-review-excellence Galaxy-Dawn/claude-scholar · score 78/100 (grade C)
This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review.
commit sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Prepare or create commits using Sentry-style message conventions when the repository requests them; inspect staged scope and honor its protected branch workflow.
git-hooks-automation sickn33/antigravity-awesome-skills · score 78/100 (grade C)
Master Git hooks setup with Husky, lint-staged, pre-commit framework, and commitlint. Automate code quality gates, formatting, linting, and commit message enforcement before code reaches CI.
git-worktree-manager alirezarezvani/claude-skills · score 78/100 (grade C)
Run parallel feature work safely with Git worktrees. Standardizes branch isolation, port allocation, environment sync, and cleanup so each worktree behaves like an independent local app. Optimized for multi-agent workflows where each agent or terminal session owns one worktree. Use when running multiple feature branches simultaneously, isolating experimental work, or coordinating multi-agent development across the same repo.
github-codespaces-efficiency github/awesome-copilot · score 78/100 (grade C)
Audit and improve GitHub Codespaces efficiency. Use this skill when a user wants faster Codespaces startup, lower Codespaces spend, slim devcontainers, right-size machines, tune idle timeout, or scope prebuilds to branches with sustained usage.
test-value tt-a1i/archify · score 78/100 (grade C)
Improve test value and feedback cost when auditing slow, flaky, redundant or brittle tests; choosing tests during implementation; or reviewing test changes before a commit or PR. Keep ordinary implementation and pre-commit use scoped to the affected behavior, not a repository-wide audit.
yeet openai/skills · score 78/100 (grade C)
Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).
autoresearch-agent alirezarezvani/claude-skills · score 77/100 (grade C)
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.
bitbucket-automation sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Automate Bitbucket repositories, pull requests, branches, issues, and workspace management via Rube MCP (Composio). Always search tools first for current schemas.
codehealth-mcp affaan-m/ECC · score 77/100 (grade C)
Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR.
codehealth-mcp affaan-m/everything-claude-code · score 77/100 (grade C)
Real-time structural Code Health via CodeScene MCP — review before edits, verify score deltas after changes, gate commits and PRs. Use when reviewing code quality, refactoring, checking if AI changes degraded a file, or before commit/PR.
conductor-revert sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Git-aware undo by logical work unit (track, phase, or task)
create-branch sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Create a git branch following Sentry naming conventions. Use when asked to "create a branch", "new branch", "start a branch", "make a branch", "switch to a new branch", or when starting new work on the default branch.
env-secrets-manager alirezarezvani/claude-skills · score 77/100 (grade C)
Manage environment-variable hygiene and secrets safety across local development and production. Practical auditing, drift awareness, rotation readiness. Use when auditing .env files for committed secrets, planning a credential rotation, debugging missing-env-var production incidents, or hardening a new project against secrets leakage.
finishing-a-development-branch sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work - guides completion of development work by presenting structured options for merge, PR, or cleanup
git-pr-workflows-git-workflow sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Orchestrate review, tests, commits, branch pushes, and pull-request creation with parallel agents. Use when completed changes must move through validation into a PR or guarded merge.
git-pr-workflows-pr-enhance sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Improve pull request descriptions, reviewability, change scope, and supporting validation evidence.
gitlab-automation sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Automate GitLab project management, issues, merge requests, pipelines, branches, and user operations via Rube MCP (Composio). Always search tools first for current schemas.
karpathy-coder alirezarezvani/claude-skills · score 77/100 (grade C)
Use when writing, reviewing, or committing code to enforce Karpathy's 4 coding principles — surface assumptions before coding, keep it simple, make surgical changes, define verifiable goals. Triggers on "review my diff", "check complexity", "am I overcomplicating this", "karpathy check", "before I commit", or any code quality concern where the LLM might be overcoding.
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.
pr-review MiniMax-AI/skills · score 77/100 (grade C)
Review pull requests for the MiniMax Skills repository. Use when reviewing PRs, validating new skill submissions, or checking existing skills for compliance. Run the validation script first for hard checks, then apply quality guidelines for content review. Triggers: PR review, pull request, validate skill, check skill.
project-state-governor sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Govern evidence-backed canonical project state across sessions, branches, reviews, and research cycles without inventing product intent.
rebase-current-branch github/awesome-copilot · score 77/100 (grade C)
Rebase the currently checked out feature branch onto the latest upstream default branch. Use when asked to update a branch with main or master, rebase the current branch onto the default branch, or sync a feature branch before review. Detects whether the repository uses main or master and guides safe conflict handling.
review-multi-agent-orchestration sickn33/antigravity-awesome-skills · score 77/100 (grade C)
Use when a supervisor, swarm, graph, planner-worker system, or parallel agent workflow needs review for task boundaries, shared state, branch joins, retries, cancellation, context handoffs, budgets, deadlocks, or human escalation before implementation or production rollout.
screen-recording github/awesome-copilot · score 77/100 (grade C)
Create annotated animated GIF demos and screen recordings for pull requests and documentation. Covers frame capture, timing, imageio-based GIF creation, and per-frame annotation workflows.
update-skills-from-changelog elevenlabs/skills · score 77/100 (grade C)
Update ElevenLabs agent skills from a merged weekly changelog in elevenlabs-dx, then open a pull request in elevenlabs/skills. Trigger after a changelog merges to main on elevenlabs-dx, or when asked to update skills from changelog YYYY-MM-DD.
developer-sandbox sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Design and build interactive playgrounds that let developers experience your product without commitment. This skill covers playground architecture, pre-populated examples, embedding strategies, gating decisions, and converting playground users to signups.
fix-review sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Verify fix commits address audit findings without new bugs
folklore-variant-evidence K-Dense-AI/claude-scientific-skills · score 76/100 (grade C)
Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple indel through Folklore Clinical Variant Interpretation MCP. Used when a scientific agent must branch deterministically on resolved, ambiguous, not-found, invalid, unsupported, or unavailable variant outcomes; chain a resolved public variant into related literature or publication details; or preserve evidence provenance without accepting patient, phenotype, family, segregation, or private case data.
git-pushing sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Safely stage, commit, and push intended git changes with conventional commit messages. Use for ordinary non-release pushes when explicitly asked to push, save work remotely, or share a completed change.
openclaw-github-repo-commander sickn33/antigravity-awesome-skills · score 76/100 (grade C)
7-stage super workflow for GitHub repo audit, cleanup, PR review, and competitor analysis
pr-writer sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Create pull requests following Sentry's engineering practices.
skill-tester alirezarezvani/claude-skills · score 76/100 (grade C)
Validate, test, and score the quality of skills within the claude-skills ecosystem. Comprehensive meta-skill: structure validation, Python script testing (syntax + imports + runtime + output format), multi-dimensional quality scoring with letter grades and tier classification (BASIC/STANDARD/POWERFUL). Use when authoring a new skill, auditing existing skills for tier promotion, setting up pre-commit hooks for skill quality, or integrating skill QA into CI.
using-git-worktrees sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Git worktrees create isolated workspaces sharing the same repository, allowing work on multiple branches simultaneously without switching.
writer sickn33/antigravity-awesome-skills · score 76/100 (grade C)
Document creation, format conversion (ODT/DOCX/PDF), mail merge, and automation with LibreOffice Writer.
address-github-comments sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.
code-tour alirezarezvani/claude-skills · score 75/100 (grade C)
Use when the user asks to create a CodeTour .tour file — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: create a tour, onboarding tour, architecture tour, PR review tour, explain how X works, vibe check, RCA tour, contributor guide, or any structured code walkthrough request.
differential-review sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Security-focused code review for PRs, commits, and diffs.
laravel-verification affaan-m/ECC · score 75/100 (grade C)
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness. Use when verifying a Laravel project before merge or deploy — lint, static analysis, tests, coverage, security.
laravel-verification affaan-m/everything-claude-code · score 75/100 (grade C)
Verification loop for Laravel projects: env checks, linting, static analysis, tests with coverage, security scans, and deployment readiness. Use when verifying a Laravel project before merge or deploy — lint, static analysis, tests, coverage, security.
paywall-upgrade-cro sickn33/antigravity-awesome-skills · score 75/100 (grade C)
You are an expert in in-app paywalls and upgrade flows. Your goal is to convert free users to paid, or upgrade users to higher tiers, at moments when they've experienced enough value to justify the commitment.
phylogenetics K-Dense-AI/claude-scientific-skills · score 75/100 (grade C)
Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein families, and cautiously interpreted dated phylogenies.
pr-review-expert alirezarezvani/claude-skills · score 75/100 (grade C)
Use when the user asks to review pull requests, analyze code changes, check for security issues in PRs, or assess code quality of diffs.
resolving-merge-conflicts sickn33/antigravity-awesome-skills · score 75/100 (grade C)
Use when you need to resolve an in-progress git merge/rebase conflict.
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.
team-agent-orchestration affaan-m/ECC · score 75/100 (grade C)
Run team-based orchestration for agent squads: work items with owners and scope, agent Kanban state, branch isolation, control pane visibility, and merge gates. Use when coordinating multiple agents in parallel across branches or worktrees — multi-agent fan-out, agent Kanban, squad coordination, or merging agent output into one product.
team-agent-orchestration affaan-m/everything-claude-code · score 75/100 (grade C)
Run team-based orchestration for agent squads: work items with owners and scope, agent Kanban state, branch isolation, control pane visibility, and merge gates. Use when coordinating multiple agents in parallel across branches or worktrees — multi-agent fan-out, agent Kanban, squad coordination, or merging agent output into one product.
using-git-worktrees obra/superpowers · score 75/100 (grade C)
Use when starting feature work that needs isolation from current workspace or before executing implementation plans - ensures an isolated workspace exists via native tools or git worktree fallback
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.
bio-read-qc-fastp-workflow GPTomics/bioSkills · score 74/100 (grade C)
Runs all-in-one FASTQ preprocessing with fastp in a single pass - adapter trimming via paired-end overlap analysis, quality/length filtering, 2-color poly-G removal, base correction, optional dedup/UMI/merge, and HTML/JSON reports. Use when preprocessing bulk Illumina data and wanting one fast tool instead of separate Cutadapt, Trimmomatic, and FastQC steps. For precise small-RNA/amplicon adapters use adapter-trimming; for molecule-accurate UMI dedup use umi-processing.
commit-message-storyteller github/awesome-copilot · score 74/100 (grade C)
Analyzes git diffs or staged changes and generates narrative commit messages that explain WHY a change was made, not just what changed — following Conventional Commits format. Use when asked to "write a commit message", "describe my changes", "what should I commit this as", or "summarize my diff". Works with git diff output, staged files, or plain descriptions of changes. Does not run git commit; to stage files and make the commit, use the git-commit skill.
comps-analysis anthropics/financial-services · score 74/100 (grade C)
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business models
django-verification affaan-m/ECC · score 74/100 (grade C)
Run the full Django verification loop — environment check, mypy/ruff/black linting, migration safety, pytest with coverage targets, pip-audit and bandit security scans, settings and logging review, and diff review — producing a phased pass/fail report before release or PR. Use when preparing a Django pull request, validating migrations or coverage, or running pre-deploy readiness checks.
django-verification affaan-m/everything-claude-code · score 74/100 (grade C)
Run the full Django verification loop — environment check, mypy/ruff/black linting, migration safety, pytest with coverage targets, pip-audit and bandit security scans, settings and logging review, and diff review — producing a phased pass/fail report before release or PR. Use when preparing a Django pull request, validating migrations or coverage, or running pre-deploy readiness checks.
gdpr-audit-prep alirezarezvani/claude-skills · score 74/100 (grade C)
/compliance-os:gdpr-audit-prep [scope] — GDPR audit 6-question Article-cited forcing interrogation. Use before annual internal GDPR review, post-breach internal audit, DPA investigation readiness, or acquisition due diligence.
github sickn33/antigravity-awesome-skills · score 74/100 (grade C)
Use the `gh` CLI for issues, pull requests, Actions runs, and GitHub API queries.
partnerships-architect alirezarezvani/claude-skills · score 74/100 (grade C)
Use when a startup is approached by a prospective partner and someone has to decide should we sign this partner, at what partner tier (referral / reseller / OEM / SI-consulting / strategic alliance), with what joint GTM commitment, and at what revshare. Classifies partner tier from independent-demand evidence vs. preferential-terms hunting, designs a 90-day joint GTM plan, models revshare against direct-sale margin, and surfaces kill criteria for unwinding under-performing partnerships. For Head of Partnerships, Head of BD, and Founder-CEOs doing reseller agreement, OEM deal, or strategic alliance review — not technical sale enablement, not channel cost economics, not M&A.
patent alirezarezvani/claude-skills · score 74/100 (grade C)
Patent prior-art and landscape intelligence skill — not generic patent help. Commits to one of five sub-use-cases via forcing intake (novelty search / freedom-to-operate / competitive landscape / acquisition diligence / litigation prior-art) before any search runs. Searches Google Patents, Espacenet, USPTO, and optionally Lens.org for citation-graph signals. Output is an editable Word document (.docx) with verdict, ranked closest art (claim-text extracted), CPC-class-aware landscape, family-resolved hits, geographic coverage, FTO flags where applicable, strategy recommendations, and full audit log. Use when the user asks for patent searching or analysis (e.g., 'prior art search for [invention]', 'freedom to operate analysis for [product]'). Produces search signal, not legal advice — always recommends consulting a patent attorney before filing or licensing decisions. Trademark, copyright, and trade-secret questions are out of scope.
review entireio/skills · score 74/100 (grade C)
Review code changes on the current branch using checkpoint transcript context to understand developer intent before auditing the diff. Use when the user asks for a code review, wants to review branch changes, or asks to audit recent work before merging.
review-and-simplify-changes Dimillian/Skills · score 74/100 (grade C)
Review a git diff or explicit file scope for reuse, code quality, efficiency, clarity, and standards issues, then optionally apply safe Codex-driven fixes. Use when the user asks to \"simplify code\", \"review changed code\", \"check for code reuse\", \"review code quality\", \"review efficiency\", \"simplify changes\", \"clean up code\", \"refactor changes\", or \"run simplify\".
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.
ship garrytan/gstack · score 74/100 (grade C)
Ship workflow: detect + merge base branch, run tests, review diff, bump VERSION, update CHANGELOG, commit, push, create PR. (gstack)
web3-rate-limiting-circuit-breaker sickn33/antigravity-awesome-skills · score 74/100 (grade C)
On-chain and relayer rate-limiting circuit breaker register: throughput thresholds, emergency pause triggers, and multi-sig recovery.
app-store-changelog Dimillian/Skills · score 73/100 (grade C)
Create user-facing App Store release notes by collecting and summarizing all user-impacting changes since the last git tag (or a specified ref). Use when asked to generate a comprehensive release changelog, App Store "What's New" text, or release notes based on git history or tags.
changelog-automation sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.
git-advanced-workflows sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Master advanced Git techniques to maintain clean history, collaborate effectively, and recover from any situation with confidence.
git-flow-branch-creator github/awesome-copilot · score 73/100 (grade C)
Intelligent Git Flow branch creator that analyzes git status/diff and creates appropriate branches following the nvie Git Flow branching model.
git-pr-workflows-onboard sickn33/antigravity-awesome-skills · score 73/100 (grade C)
You are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. You
git-workflow affaan-m/ECC · score 73/100 (grade C)
Git workflow patterns including branching strategies, commit conventions, keeping history clean and readable, tidying local commits before merging, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes. Use when choosing a branching strategy, writing commit conventions, cleaning up history before a pull request, deciding merge versus rebase, or resolving conflicts.
git-workflow affaan-m/everything-claude-code · score 73/100 (grade C)
Git workflow patterns including branching strategies, commit conventions, keeping history clean and readable, tidying local commits before merging, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes. Use when choosing a branching strategy, writing commit conventions, cleaning up history before a pull request, deciding merge versus rebase, or resolving conflicts.
grill-me alirezarezvani/claude-skills · score 73/100 (grade C)
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
people-directory sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Employee master record: name, employee id, department, job title, grade, manager, employment type, contact and emergency details, access role, start and end dates, status. Use for people records.
production-audit affaan-m/ECC · score 73/100 (grade C)
Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service. Use when auditing production readiness before launch, after a merge, or when asked what breaks in prod.
production-audit affaan-m/everything-claude-code · score 73/100 (grade C)
Local-evidence production readiness audit for shipped apps, pre-launch reviews, post-merge checks, and "what breaks in prod?" questions without sending repo data to an external audit service. Use when auditing production readiness before launch, after a merge, or when asked what breaks in prod.
springboot-verification affaan-m/ECC · score 73/100 (grade C)
Run the full Spring Boot verification loop — Maven or Gradle build, SpotBugs, PMD, and Checkstyle static analysis, unit and Testcontainers integration tests with JaCoCo coverage, OWASP dependency and secret scans, and diff review — producing a pass/fail readiness report. Use when preparing a Spring Boot pull request, validating coverage thresholds, or running pre-deploy verification.
springboot-verification affaan-m/everything-claude-code · score 73/100 (grade C)
Run the full Spring Boot verification loop — Maven or Gradle build, SpotBugs, PMD, and Checkstyle static analysis, unit and Testcontainers integration tests with JaCoCo coverage, OWASP dependency and secret scans, and diff review — producing a pass/fail readiness report. Use when preparing a Spring Boot pull request, validating coverage thresholds, or running pre-deploy verification.
unslop-commit sickn33/antigravity-awesome-skills · score 73/100 (grade C)
Rewrites commit messages so they sound like a careful human engineer wrote them. Strips AI/marketing slop (\"comprehensive solution\", \"robust implementation\", \"leverage\", \"enhance\", \"seamlessly\", \"This commit...\"). Keeps Conventional Commits format.
agent-regression-evals alirezarezvani/claude-skills · score 72/100 (grade C)
Use when an agent, prompt, model or tool change needs proof it did not make the agent worse — setting up a regression eval suite, deciding whether a pass-rate drop is real or noise, grading tool-call trajectories, finding flaky eval cases, or wiring an eval gate into CI that blocks the merge. Runs repeated trials, reports pass@k and pass^k, compares candidate to baseline with paired statistics, and refuses to pass a dropped case, a critical-case regression, or a forbidden tool call.
agenthub alirezarezvani/claude-skills · score 72/100 (grade C)
Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.
asc-whats-new-writer rudrankriyam/app-store-connect-cli-skills · score 72/100 (grade C)
Generate engaging, localized App Store release notes (What's New) from git log, bullet points, or free text using canonical metadata under `./metadata`. Optionally pairs with promotional text updates.
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-workflows-methylation-pipeline GPTomics/bioSkills · score 72/100 (grade C)
Orchestrates the end-to-end bisulfite/EM-seq methylation pipeline from FASTQ to differentially methylated regions, chaining Trim Galore/fastp QC, Bismark alignment + deduplication, methylation calling, methylKit coverage-filtering/normalization, and selection-aware DMR detection (dmrseq/DSS). Use when gating the run on bisulfite conversion (lambda + pUC19 controls) BEFORE any beta value, committing the genome build + library directionality once, keeping mate-overlap deduplicated (--no_overlap), M-bias-trimming from the plot, filtering coverage before testing, choosing a count model (beta-binomial/DSS) over a bare-beta t-test, or using a region-selection-aware FDR (dmrseq/DSS) rather than raw methylKit tiles. Hands mechanism to the methylation-analysis component skills; not a re-teach of any single step.
codex-review sickn33/antigravity-awesome-skills · score 72/100 (grade C)
Professional code review with auto CHANGELOG generation, integrated with Codex AI. Use when you want professional code review before commits, you need automatic CHANGELOG generation, or reviewing large-scale refactoring.
conventional-commit-review affaan-m/ECC · score 72/100 (grade C)
Reviews staged changes and drafts a Conventional Commits-compliant commit message with the right type, scope, and length. Use before committing, or when the user asks to write, fix, or review a commit message.
conventional-commit-review affaan-m/everything-claude-code · score 72/100 (grade C)
Reviews staged changes and drafts a Conventional Commits-compliant commit message with the right type, scope, and length. Use before committing, or when the user asks to write, fix, or review a commit message.
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.
deerflow-maintainer-orchestrator bytedance/deer-flow · score 72/100 (grade C)
Use when a DeerFlow maintainer needs comment-only GitHub issue or PR handling: resolve issue/PR scopes with gh, analyze issues, post or draft issue comments, perform PR review comments, review PR or issue batches, compare competing PRs that target the same issue, give fix strategy, risk classification, and validation guidance. Intended for maintainers and trusted local agents, not general contributors.
git-workflow Galaxy-Dawn/claude-scholar · score 72/100 (grade C)
This skill should be used when the user asks to "create git commit", "manage branches", "follow git workflow", "use Conventional Commits", "handle merge conflicts", or asks about git branching strategies, version control best practices, pull request workflows. Provides comprehensive Git workflow guidance for team collaboration.
github-ops affaan-m/ECC · score 72/100 (grade C)
GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.
github-ops affaan-m/everything-claude-code · score 72/100 (grade C)
GitHub repository operations, automation, and management. Issue triage, PR management, CI/CD operations, release management, and security monitoring using the gh CLI. Use when the user wants to manage GitHub issues, PRs, CI status, releases, contributors, stale items, or any GitHub operational task beyond simple git commands.
hub-run alirezarezvani/claude-skills · score 72/100 (grade C)
One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation. Use when the user runs /hub:hub-run or asks to execute a full AgentHub competition end-to-end.
hub-status alirezarezvani/claude-skills · score 72/100 (grade C)
Show DAG state, agent progress, and branch status for an AgentHub session. Use when the user runs /hub:hub-status or asks how the AgentHub agents are doing.
repo-sync davidondrej/skills · score 72/100 (grade C)
Manage automatic Git syncing on macOS with repo-sync. Use only when the user explicitly invokes /repo-sync.
verification-before-completion obra/superpowers · score 72/100 (grade C)
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before assertions always
azure-devops-cli github/awesome-copilot · score 71/100 (grade C)
Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.
bio-proteomics-spectral-libraries GPTomics/bioSkills · score 71/100 (grade C)
Builds and manages DIA spectral libraries as peptide query parameters (precursor m/z, a few fragment m/z plus relative intensities, normalized RT, optional CCS), covering experimental DDA, chromatogram, and in-silico predicted libraries via Koina-served Prosit, AlphaPeptDeep, MS2PIP, and DeepLC, with iRT/CiRT RT calibration, NCE tuning, format conversion (DIA-NN tsv/speclib/parquet, OpenSWATH pqp/TraML, Spectronaut, blib/dlib/elib), and library QC/merge. Use when generating, calibrating, converting, or merging a spectral library to drive a DIA search. Running the actual DIA search is dia-analysis; building from DDA identifications depends on peptide-identification; modified-peptide libraries route to ptm-analysis; quantifying the result is quantification.
bio-workflows-cnv-pipeline GPTomics/bioSkills · score 71/100 (grade C)
Orchestrates the copy-number pipeline from BAM to segmented, integer-called, annotated CNVs, forking on germline-vs-somatic - CNVkit (somatic exome/panel: coverage -> assay-matched reference/PoN -> fix -> segment -> purity/ploidy-aware call), GATK gCNV (germline rare-CNV cohort), and allele-specific callers (ASCAT/FACETS/PURPLE) for purity/ploidy. Use when committing the build + target/access BED + PoN once (assay-matched), building the reference from normals BEFORE segmenting, fitting purity/ploidy BEFORE integer calls in tumors, centering on the true (non-diploid) mode before GISTIC2 recurrence, or routing cfDNA to ichorCNA. Hands mechanism to the copy-number component skills; not a re-teach of any single step.
bio-workflows-rnaseq-to-de GPTomics/bioSkills · score 71/100 (grade C)
Orchestrates the end-to-end bulk RNA-seq differential-expression pipeline from FASTQ to an annotated DE gene table, chaining fastp QC/trim, Salmon (decoy-aware) or STAR+featureCounts quantification, tximport gene-level collapse, DESeq2/edgeR/limma-voom testing, apeglm shrinkage, and VST-based visualization. Use when committing the reference release and gene-ID namespace once for the whole run, sequencing steps in the defensible order (tximport before DE, raw counts into the model, VST only for viz/clustering), choosing alignment-free vs align-then-count and the DE engine, setting strandedness correctly, keeping batch in the design instead of correcting-then-testing, or handing the signed ranking statistic to downstream enrichment. Hands mechanism to the component skills; not a re-teach of any single step.
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.
capacity-planner alirezarezvani/claude-skills · score 71/100 (grade C)
Use when an ops leader (Director of CX, Head of Support, VP Ops, Head of BizOps, Head of IT ops, Head of Finance ops) is sizing ops capacity, building a headcount plan, modeling utilization risk, planning Q3 capacity or annual support capacity, or designing CS coverage — and needs Erlang-C queueing math, P90 demand sizing, shrinkage-adjusted FTE, manager-trigger thresholds, and a quarterly hiring sequence with ramp + attrition. Apply when sustained team utilization is above 80% or when the team is growing more than 50% in 12 months. Run before committing the headcount budget. This is NOT engineering capacity (see vpe-advisor for DORA + cycle time) and NOT strategic 3-year workforce planning (see chro-advisor).
content-humanizer alirezarezvani/claude-skills · score 71/100 (grade C)
Makes AI-generated content sound genuinely human — not just cleaned up, but alive. Use when content feels robotic, uses too many AI clichés, lacks personality, or reads like it was written by committee. Triggers: 'this sounds like AI', 'make it more human', 'add personality', 'it feels generic', 'sounds robotic', 'fix AI writing', 'inject our voice'. NOT for initial content creation (use content-production). NOT for SEO optimization (use content-production Mode 3).
conventional-branch github/awesome-copilot · score 71/100 (grade C)
Create Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/, plus AI agent prefixes ai/, copilot/, cursor/, claude/, codex/). Use when creating a new branch, naming a branch, or checking whether a branch name complies with the spec.
decision-navigator sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Guide stuck or overwhelmed users through targeted branching questions until they reach concrete next steps.
diff-marketing Illyism/seo-skills · score 71/100 (grade C)
Generate customer-focused marketing content from recent git changes, commits, merged pull requests, and shipped features. Use when the user invokes /diff-marketing or /marketing, or asks for blog posts, tweets, changelogs, or emails about what shipped.
finishing-a-development-branch obra/superpowers · score 71/100 (grade C)
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work
generate-custom-instructions-from-codebase github/awesome-copilot · score 71/100 (grade C)
Migration and code evolution instructions generator for GitHub Copilot. Analyzes differences between two project versions (branches, commits, or releases) to create precise instructions allowing Copilot to maintain consistency during technology migrations, major refactoring, or framework version upgrades.
git-commit github/awesome-copilot · score 71/100 (grade C)
Use this skill when the user wants to make a Git commit or split changes into more than one commit. Also use it when the user types "/commit" or asks for a conventional commit. The skill examines the diff, stages the related files, writes a Conventional Commits message, and runs git commit. Do not use it when the user wants only a commit message and no commit. Do not use it to push, open a pull request, rebase, or change the commit history.
git-workflow-and-versioning addyosmani/agent-skills · score 71/100 (grade C)
Structures git workflow practices. Use when making any code change. Use when committing, branching, resolving conflicts, splitting uncommitted work in a messy working tree into clean atomic commits, opening or reviewing a pull request (PR), pushing to a remote, or when you need to organize work across multiple parallel streams. Use when cutting a release, choosing a semantic version bump, tagging, or writing a changelog.
growth-log affaan-m/ECC · score 71/100 (grade C)
Write growth log entries that extract reusable patterns from completed work — root cause, transferable rule, and a recognizable signal — instead of diary-style event narration, with a 4-8 sentence template and merge-duplicates discipline. Use when capturing what was learned after a complex task, debugging session, failure, or rollback, when reviewing progress over a period, or when a delivery gate asks what was learned.
growth-log affaan-m/everything-claude-code · score 71/100 (grade C)
Write growth log entries that extract reusable patterns from completed work — root cause, transferable rule, and a recognizable signal — instead of diary-style event narration, with a 4-8 sentence template and merge-duplicates discipline. Use when capturing what was learned after a complex task, debugging session, failure, or rollback, when reviewing progress over a period, or when a delivery gate asks what was learned.
lbo-model anthropics/financial-services · score 71/100 (grade C)
This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.
product-discovery alirezarezvani/claude-skills · score 71/100 (grade C)
Use when validating product opportunities, mapping assumptions, planning discovery sprints, or testing problem-solution fit before committing delivery resources.
review-swarm Dimillian/Skills · score 71/100 (grade C)
Parallel read-only multi-agent review of a current git diff or explicit file scope to find behavioral regressions, security or privacy risks, performance or reliability issues, and contract or test coverage gaps. Use when the user asks for a review swarm, parallel review, diff review, regression review, security review, or wants high-signal issues plus a prioritized fix path without editing files.
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.
setup-pre-commit mattpocock/skills · score 71/100 (grade C)
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
skill-improver Galaxy-Dawn/claude-scholar · score 71/100 (grade C)
This skill should be used when the user asks to "apply skill improvements", "update skill from plan", "execute improvement plan", "fix skill issues", "implement skill recommendations", or mentions applying improvements from quality review reports. Reads improvement-plan-{name}.md files generated by skill-quality-reviewer and intelligently merges and executes the suggested changes to improve Claude Skills quality.
workflow-patterns sickn33/antigravity-awesome-skills · score 71/100 (grade C)
Use this skill when implementing tasks according to Conductor's TDD workflow, handling phase checkpoints, managing git commits for tasks, or understanding the verification protocol.
agent-memory alirezarezvani/claude-skills · score 70/100 (grade C)
Use when a project's CLAUDE.md has grown past what anyone reads and you want the agent to learn durable facts from its own sessions instead — or when asking why the agent keeps re-learning the same correction, why a remembered rule is wrong, or where a memory line came from. Implements a four-tier store (L0 transcripts / L1 candidates / L2 project context / L3 stable persona) where promotion is earned by recurrence across sessions and days, never by one confident statement, and nothing reaches a committed file without a human adopting it.
attribution-setup Eronred/aso-skills · score 70/100 (grade C)
When the user wants to set up, debug, or interpret app install attribution — including SKAdNetwork (SKAN), Apple's AdAttributionKit, Google Play Install Referrer, MMPs (AppsFlyer, Adjust, Singular, Branch, Kochava), deep links, deferred deep links, conversion values, postback windows, or privacy thresholds. Use when the user mentions "SKAdNetwork", "SKAN", "SKAN 4", "AdAttributionKit", "AAK", "MMP", "AppsFlyer", "Adjust", "Singular", "Branch", "attribution", "conversion value", "postback", "Install Referrer", "deferred deep link", "iOS 14.5", "ATT", "App Tracking Transparency", "IDFA", or "I can't measure my ad campaigns". For paid campaign strategy, see ua-campaign and apple-search-ads. For analytics events, see app-analytics.
bio-workflows-fastq-to-variants GPTomics/bioSkills · score 70/100 (grade C)
Orchestrates the end-to-end germline short-variant pipeline from FASTQ to a filtered, normalized, benchmarked VCF, chaining QC/trim, BWA-MEM2 alignment, duplicate marking, optional BQSR, calling (bcftools/GATK HaplotypeCaller/DeepVariant/DRAGEN), normalization, site+genotype filtering, annotation, and hap.py/vcfeval benchmarking. Use when deciding the pipeline-wide reference-genome commitment (GRCh38 analysis set vs T2T, ALT/decoy handling), sequencing the steps in the defensible order (normalize BEFORE annotate, filter site- then genotype-level), choosing the calling engine and single-sample vs cohort joint-calling, picking a filtering strategy by cohort size, or benchmarking stratified within GIAB confident regions. Hands off mechanism to the variant-calling and read-alignment component skills; not a re-teach of any single step.
bio-workflows-gwas-pipeline GPTomics/bioSkills · score 70/100 (grade C)
Orchestrates the GWAS pipeline from genotypes to association results, chaining PLINK2 QC (variant-then-sample missingness, controls-only HWE, KING relatedness), panel harmonization + joint phasing/imputation to dosages, long-range-LD-excluded PCA, and an engine chosen by sample structure (PLINK2-GLM / regenie / SAIGE / BOLT-LMM), with LDSC-intercept diagnostics. Use when committing the genome build + ancestry-matched imputation panel once (ancestry match > panel size), running the strand/allele harmonization gate (drop intermediate-frequency palindromes), imputing cases+controls TOGETHER on dosages, excluding long-range-LD regions before PCA, choosing an LMM when relatedness/structure is present (PCs cannot remove a covariance), or separating polygenicity from confounding via the LDSC intercept. Hands mechanism to the population-genetics and phasing-imputation component skills; not a re-teach of any single step.
bio-workflows-scrnaseq-pipeline GPTomics/bioSkills · score 70/100 (grade C)
Orchestrates the end-to-end single-cell RNA-seq pipeline from 10x Cell Ranger output to annotated cell types, chaining ambient-RNA removal, doublet detection, MAD-adaptive QC, normalization, integration, clustering, marker annotation, and (separately) pseudobulk DE + differential abundance. Use when honoring the made-once counting commitments (reference build/Ensembl vintage, --include-introns, cell-calling, feature namespace), ordering correct-then-detect-then-normalize (ambient before doublet before normalize), running per-sample QC before merge, integrating-then-clustering (never testing on integrated values), aggregating to pseudobulk for condition DE instead of cells-as-replicates, or pairing DE with differential abundance. Hands mechanism to the single-cell component skills; not a re-teach of any single step.
canary-watch affaan-m/ECC · score 70/100 (grade C)
Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
canary-watch affaan-m/everything-claude-code · score 70/100 (grade C)
Use this skill to monitor and verify a deployed URL after releases — checks HTTP endpoints, SSE streams, static assets, console errors, and performance regressions after deploys, merges, or dependency upgrades. Smoke / canary / post-deploy verification.
cfo-review alirezarezvani/claude-skills · score 70/100 (grade C)
/c-level-agents:cfo-review [plan] — Numerate-skeptic interrogation of any plan that touches money. Unit economics, runway, dilution, capital allocation. Use when a plan commits meaningful spend — e.g. a hiring wave, a fundraise decision, or a new channel budget.
code-review-and-quality addyosmani/agent-skills · score 70/100 (grade C)
Conducts multi-axis code review. Use before merging any change. Use when reviewing code written by yourself, another agent, or a human. Use when you need to assess code quality across multiple dimensions before it enters the main branch. Use when asked to review a diff or a pull request, even when the diff is pasted inline.
conventional-commit github/awesome-copilot · score 70/100 (grade C)
Prompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and validation.
github-outside-sandbox davidondrej/skills · score 70/100 (grade C)
Run Git and GitHub CLI commands on the host when sandboxing blocks Keychain auth, network access, or .git writes. Use for gh auth, repo/PR operations, index.lock, or permission errors; covers execution context only.
idea-refine addyosmani/agent-skills · score 70/100 (grade C)
Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".
orch-pipeline affaan-m/ECC · score 70/100 (grade C)
Shared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-defect, orch-change-feature, orch-refine-code, or orch-build-mvp; read directly only when adding an orch operation or tuning shared phases.
orch-pipeline affaan-m/everything-claude-code · score 70/100 (grade C)
Shared orchestration engine behind the orch-* skill family — the gated Research-Plan-TDD-Review-Commit pipeline, size classifier, agent and command map, and two human gates (plan approval, commit confirmation) that orch-* operation skills delegate to. Use indirectly via orch-add-feature, orch-fix-defect, orch-change-feature, orch-refine-code, or orch-build-mvp; read directly only when adding an orch operation or tuning shared phases.
rename-process davidondrej/skills · score 70/100 (grade C)
Coordinate project or repository renames and moves involving Git, BB, services, or multiple machines. Preserve work and history while updating operational paths. Excludes ordinary file, code-symbol, and thread-title renames.
repo-scan affaan-m/ECC · score 70/100 (grade C)
Bootstrap pointer that installs the external repo-scan skill from a pinned, reviewable commit. Use when repo-scan must be installed before running its cross-stack source-code asset audit; this ECC pointer does not perform the audit itself.
repo-scan affaan-m/everything-claude-code · score 70/100 (grade C)
Bootstrap pointer that installs the external repo-scan skill from a pinned, reviewable commit. Use when repo-scan must be installed before running its cross-stack source-code asset audit; this ECC pointer does not perform the audit itself.
review garrytan/gstack · score 70/100 (grade C)
Pre-landing PR review. (gstack)
skill-security-auditor alirezarezvani/claude-skills · score 70/100 (grade C)
Security audit and vulnerability scanner for AI agent skills before installation. Use when: (1) evaluating a skill from an untrusted source, (2) auditing a skill directory or git repo URL for malicious code, (3) pre-install security gate for Claude Code plugins, OpenClaw skills, or Codex skills, (4) scanning Python scripts for dangerous patterns like os.system, eval, subprocess, network exfiltration, (5) detecting prompt injection in SKILL.md files, (6) checking dependency supply chain risks, (7) verifying file system access stays within skill boundaries. Triggers: "audit this skill", "is this skill safe", "scan skill for security", "check skill before install", "skill security check", "skill vulnerability scan".
team-collaboration-issue sickn33/antigravity-awesome-skills · score 70/100 (grade C)
You are a GitHub issue resolution expert specializing in systematic bug investigation, feature implementation, and collaborative development workflows. Your expertise spans issue triage, root cause analysis, testing, and pull request preparation.
team-collaboration-standup-notes sickn33/antigravity-awesome-skills · score 70/100 (grade C)
You are an expert team communication specialist focused on async-first standup practices, AI-assisted note generation from commit history, and effective remote team coordination patterns.
total-review davidondrej/skills · score 70/100 (grade C)
Run five independent max-effort reviews (Fable 5.1, Opus 5.5, GPT-6 Astra, GPT-6.1 Sol, Muse Wonder), merge their findings, and fix only what the user approves. Manual only: run when a human types /total-review; agents must never invoke it on their own.
varlock-claude-skill sickn33/antigravity-awesome-skills · score 70/100 (grade C)
Secure environment variable management with explicit checks to reduce secret exposure in Claude sessions, terminals, logs, or git commits
vpe-review alirezarezvani/claude-skills · score 70/100 (grade C)
/c-level-agents:vpe-review [plan] — Throughput-first VP of Engineering interrogation of any plan that touches delivery, eng hiring, team structure, or production discipline. Use when cycle time balloons, DORA metrics slide, or before committing to an eng hiring wave or a reorg.
accint-commitments sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Triage acc's open promises and close them with honest real-world verdicts via acc_act(runtime="outcome").
bio-batch-processing GPTomics/bioSkills · score 69/100 (grade C)
Process many sequence files in batch (count, merge, split, convert, summarize) with memory-safe streaming and on-disk indexing using Biopython, pysam, or pyfastx. Use when iterating over a directory of FASTA/FASTQ files, merging or splitting datasets, building random access across many or huge files, or automating per-file operations without exhausting RAM.
bio-splice-variant-prediction GPTomics/bioSkills · score 69/100 (grade C)
Predicts whether a DNA variant alters mRNA splicing using sequence-based deep-learning tools — SpliceAI (10kb context dilated CNN, clinical default), Pangolin (multi-tissue), MMSplice (modular per-region CNN with calibrated ΔPSI), SpliceTransformer/TrASPr (tissue-aware transformers), SpliceVault (empirical 300K-RNA lookup of likely mis-splicing outcomes), CADD-Splice (composite score). Applies the ClinGen SVI 2023 framework for ACMG/AMP variant interpretation (PVS1, PP3, BP4 evidence codes), HGVS splicing nomenclature (c.123+1G>A, c.123-3T>G, r.spl?), extended-window scoring for deep-intronic pseudoexons, tissue-specific predictions, branchpoint variant detection (BPHunter, LaBranchoR), and splice-switching ASO design. Use when interpreting splice impact of clinical variants, prioritizing VUS, identifying deep-intronic pathogenic variants, or designing ASOs.
bio-workflows-atacseq-pipeline GPTomics/bioSkills · score 69/100 (grade C)
Orchestrates the end-to-end bulk ATAC-seq pipeline from FASTQ to differential accessibility and TF footprints, chaining Nextera-aware fastp QC, Bowtie2 alignment, chrM removal, dedup, a single Tn5 +4/-5 shift, MACS3 peak calling, Corces fixed-width consensus, DiffBind/csaw differential accessibility, and TOBIAS footprinting. Use when committing the reference build + blacklist once, recognizing ATAC has NO input control (the shift-extend model IS the background), applying the Tn5 shift exactly once (never combining -f BAMPE with --shift/--extsize), removing chrM before calling, building a fixed-width consensus so per-sample counts are comparable, or choosing MACS3 vs Genrich vs HMMRATAC. Hands mechanism to the atac-seq component skills; not a re-teach of any single step.
bio-workflows-spatial-pipeline GPTomics/bioSkills · score 69/100 (grade C)
Orchestrates the end-to-end spatial transcriptomics pipeline from Space Ranger / vendor output to spatial domains and statistics, branching FIRST on platform class (imaging in-situ Xenium/MERFISH/CosMx vs sequencing/capture Visium/Visium HD/Slide-seq). Use when deciding segmentation-vs-deconvolution and the QC floors from the platform class, committing the coordinate/image-registration frame and panel identity, deconvolving multi-cell spots against an annotated scRNA reference (never relabeling spot clusters as cell types), building the spatial neighbor graph on PHYSICAL not expression space, gating spatially-variable genes on FDR, or using a real domain method (BANKSY/BayesSpace/STAGATE) rather than clustering the spatial graph alone. Hands off deconvolution and cell-cell communication to the component skills; not a re-teach of any single step.
caveman-commit JuliusBrussee/caveman · score 69/100 (grade C)
Write a Conventional Commits message compressed to intent only. Use for "write a commit", "commit message", /commit or /caveman-commit.
changelog-entry sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Generate a properly formatted CHANGELOG.md entry in Keep a Changelog format from a commit range or PR. Groups changes into Added/Changed/Deprecated/Removed/Fixed/Security categories and outputs a ready-to-paste block.
core-data-expert AvdLee/Core-Data-Agent-Skill · score 69/100 (grade C)
Expert Core Data guidance (iOS/macOS): stack setup, fetch requests & NSFetchedResultsController, saving/merge conflicts, threading & Swift Concurrency, batch operations & persistent history, migrations, performance, and NSPersistentCloudKitContainer/CloudKit sync.
cs-karpathy-reviewer alirezarezvani/claude-skills · score 69/100 (grade C)
Reviews staged git changes against Karpathy's 4 coding principles. Runs complexity_checker on changed files, diff_surgeon on the diff, and produces a verdict with specific fix recommendations. Spawn before committing, when the user says "karpathy check", "review my diff", or when the /karpathy-check command is invoked.
cto-review alirezarezvani/claude-skills · score 69/100 (grade C)
/c-level-agents:cto-review [plan] — Architecture and scaling interrogation. Tech debt, scaling cliffs, team scaling, build-vs-buy. Use when committing to an architecture, planning for 10x load, or weighing a rebuild against a vendor.
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.
git-pr-review sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Generate a concise and structured PR description from commit history with minimal token usage
pr-screenshots github/awesome-copilot · score 69/100 (grade C)
Embed before/after screenshots and annotated images in pull request descriptions. Covers PR description patterns, image upload for Azure DevOps and GitHub, and sizing best practices.
referral-program Eronred/aso-skills · score 69/100 (grade C)
When the user wants to design, launch, or optimize an in-app referral / invite / share-to-earn program — including reward structure, mechanics, fraud prevention, deep link setup, and viral coefficient measurement. Use when the user mentions "referral program", "invite a friend", "refer and earn", "share to earn", "viral loop", "viral coefficient", "K-factor", "double-sided rewards", "give X get X", "referral rewards", "invite link", "share sheet", "Branch referrals", "in-app invites", or "how to make my app go viral". For deep link infrastructure that referrals depend on, see attribution-setup. For organic content-driven virality (UGC, creator), see creator-ugc-marketing.
understand-diff Egonex-AI/Understand-Anything · score 69/100 (grade C)
Use when you need to analyze git diffs or pull requests to understand what changed, affected components, and risks
wiki-changelog sickn33/antigravity-awesome-skills · score 69/100 (grade C)
Generate structured changelogs from git history. Use when user asks \"what changed recently\", \"generate a changelog\", \"summarize commits\" or user wants to understand recent development activity.
bio-phylo-tree-manipulation GPTomics/bioSkills · score 68/100 (grade C)
Edit phylogenetic tree structure with Biopython Bio.Phylo, and treat rooting as a separate statistical inference rather than a display choice. Covers why most inference returns an unrooted tree so placing the root creates every ancestor/descendant and basal claim; why a distant or lonely outgroup misroots inside the ingroup via long-branch attraction; the outgroup/midpoint/MAD/MinVar/non-reversible-likelihood rooting tradeoffs; why pruning must suppress degree-2 nodes and sum their branch lengths or all patristic distances silently corrupt; and why collapsing by support makes SOFT (uncertainty) polytomies, not HARD (radiation) ones. Use when rooting, re-rooting, pruning or subsetting taxa, extracting a clade or induced subtree, collapsing low-support branches, resolving polytomies, or ladderizing. Routes clock-based rooting to divergence-dating, inference to modern-tree-inference, and reading/plotting to tree-io and tree-visualization.
bio-workflows-microbiome-pipeline GPTomics/bioSkills · score 68/100 (grade C)
End-to-end 16S/ITS amplicon workflow from demultiplexed FASTQ to a consensus differential-abundance result, orchestrating cutadapt primer removal, per-run DADA2 ASV inference (learnErrors/mergeSequenceTables/removeBimeraDenovo), region-matched taxonomy assignment, a SEPP/Greengenes2 tree, alpha/beta diversity at a declared sampling depth (phyloseq/vegan, adonis2 paired with betadisper), compositional DA as a consensus of >=2 tools (ALDEx2/ANCOM-BC2) on unrarefied counts, and optional PICRUSt2 functional prediction gated on NSTI. Covers the stage-ordering decisions (primers before truncation, per-run error model, rarefy for diversity not DA, predicted potential not activity) and defers each per-step choice to the six microbiome skills. Use when staging an amplicon study end to end or chaining ASV inference, taxonomy, diversity, and differential abundance. For shotgun reads see workflows/metagenomics-pipeline.
changelog-generator alirezarezvani/claude-skills · score 68/100 (grade C)
Produce consistent, auditable release notes from Conventional Commits. Separates commit parsing, semantic-bump logic, and changelog rendering for automated releases with editorial control. Use when cutting a release, generating CHANGELOG.md from git history, computing the next semantic version from commits, automating release notes in CI, or planning a hotfix/rollback. Examples: 'generate the changelog for v1.4.0', 'what version bump do these commits require', 'we need an emergency hotfix process'.
code-tour github/awesome-copilot · score 68/100 (grade C)
Use this skill to create CodeTour .tour files — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: "create a tour", "make a code tour", "generate a tour", "onboarding tour", "tour for this PR", "tour for this bug", "RCA tour", "architecture tour", "explain how X works", "vibe check", "PR review tour", "contributor guide", "help someone ramp up", or any request for a structured walkthrough through code. Supports 20 developer personas (new joiner, bug fixer, architect, PR reviewer, vibecoder, security reviewer, and more), all CodeTour step types (file/line, selection, pattern, uri, commands, view), and tour-level fields (ref, isPrimary, nextTour). Works with any repository in any language.
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).
parallel-execution-optimizer affaan-m/ECC · score 68/100 (grade C)
Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.
parallel-execution-optimizer affaan-m/everything-claude-code · score 68/100 (grade C)
Speed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.
ponytail-review DietrichGebert/ponytail · score 68/100 (grade C)
Quality review of a change: is the logic right, is it safe, does it hold under real load, is risky code tested, is it fast enough, and is every line needed. Reads the connected code, not only the diff. Each finding is explained in plain English. Use for "review this", "code review", "review the last commit", "review my PR", "is this over-engineered", /ponytail-review.
what-happened entireio/skills · score 68/100 (grade C)
Explain why code looks the way it does by tracing the latest change for a file range or pasted snippet through `git blame` and deduplicated `entire checkpoint explain` lookups. Use when the user asks what happened, says "tell me why" about a code block, is confused about a section of code, asks "wtf is going on", "why is this like this", "why was this changed", or wants provenance for a specific file block.
accesslint-diff sickn33/antigravity-awesome-skills · score 67/100 (grade C)
Diff a live page's accessibility violations against a baseline — by default compares uncommitted changes (stash-based), or pass --branch [<name>] to diff against a branch. Reports only new violations introduced, violations fixed, and pre-existing count. Use `scan` for a full audit with no diffing.
bio-microbiome-amplicon-processing GPTomics/bioSkills · score 67/100 (grade C)
Infers exact amplicon sequence variants (ASVs) from demultiplexed 16S rRNA or ITS amplicon FASTQ with DADA2 - removing primers with cutadapt (--discard-untrimmed), learning a per-run error model (filterAndTrim -> learnErrors -> dada -> mergePairs), merging run-level tables with mergeSequenceTables, then one removeBimeraDenovo. Covers why primers come OFF before truncation, why the error model is per-run, truncLen as a merge-overlap detection budget (V4 vs V3-V4), DADA2 vs Deblur and q2-dada2 (denoise-paired/single/pyro/ccs), ASV vs OTU, NovaSeq binned-quality error-fit breakage, ITSxpress for variable-length ITS, and decontam removal of reagent/kit contaminants. Use when turning demultiplexed amplicon reads into an ASV/feature table, choosing truncation lengths, handling multi-run studies, or ITS. For shotgun reads see metagenomics/kraken-classification; for QIIME2 CLI mechanics see qiime2-workflow; for primer trimming theory see read-qc/adapter-trimming.
bio-workflows-outbreak-pipeline GPTomics/bioSkills · score 67/100 (grade C)
Orchestrates genomic-epidemiology outbreak investigation from pathogen isolates to transmission networks, forking bacterial (snippy -> Gubbins recombination-masking -> IQ-TREE -> TreeTime -> TransPhylo) vs viral (Nextstrain/augur), with parallel MLST typing (cgMLST delegated to epidemiological-genomics/pathogen-typing) and AMR surveillance. Use when committing ONE reference genome for SNP calling (every isolate and distance inherits its coordinates), applying MANDATORY Gubbins recombination-masking on core.full.aln before the tree for recombining bacteria (skipping it inflates the clock 2-5x), gating time-scaling on a temporal-signal test (TempEst R2 >= 0.3), using a pathogen- AND population-specific cluster threshold rather than a universal SNP cutoff, or pinning pangolin-data/Nextclade/Freyja versions for the viral route. Hands mechanism to the epidemiological-genomics component skills; not a re-teach of any single step.
bio-workflows-timecourse-pipeline GPTomics/bioSkills · score 67/100 (grade C)
End-to-end bulk time-course analysis from an expression matrix to temporal gene modules and per-cluster pathway enrichment. Orchestrates temporal DE (limma splines or DESeq2 LRT), Mfuzz/tslearn soft clustering of expression-profile shapes, GAM trajectory fitting, per-cluster GO enrichment against a temporal-gene background, and an OPTIONAL circadian rhythm-detection branch (MetaCycle/CosinorPy) that runs only when the design covers >=2 full cycles with >=6-8 evenly spaced samples per cycle. Use when analyzing a bulk time-series expression experiment from any omics platform and deciding limma-splines vs DESeq2-LRT for temporal DE, soft vs hard clustering, whether the sampling design even licenses rhythm detection, and which background to use for enrichment. Not for single-cell pseudotime (see temporal-genomics/trajectory-modeling for the bulk-vs-pseudotime boundary) or unknown-period discovery (see temporal-genomics/periodicity-detection).
gdpr-compliant github/awesome-copilot · score 67/100 (grade C)
Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.
git-worktree davidondrej/skills · score 67/100 (grade C)
Use Git worktrees to isolate parallel coding tasks. Use when setting up a task checkout, working in a shared repo, or managing existing worktrees.
linkedin-strategy alirezarezvani/claude-skills · score 67/100 (grade C)
Use when someone needs a LinkedIn plan rather than a post — content pillars, positioning for a career change or consulting or thought leadership, a sustainable posting cadence, or a newsletter decision. Triggers on "what should I post about", "how often should I post", "LinkedIn content strategy", "should I start a LinkedIn newsletter", "grow my following", "90-day plan". Validates the positioning brief, sizes the week against real hours and refuses a plan that will not survive week five, and gates a newsletter against eligibility and a six-month cadence commitment.
make-repo-contribution github/awesome-copilot · score 67/100 (grade C)
All changes to code must follow the guidance documented in the repository. Before any issue is filed, branch is made, commits generated, or pull request (or PR) created, a search must be done to ensure the right steps are followed. Whenever asked to create an issue, commit messages, to push code, or create a PR, use this skill so everything is done correctly.
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.
ponytail-audit DietrichGebert/ponytail · score 67/100 (grade C)
Quality audit of a whole repo: bugs, security holes, what breaks under real load, risky code without tests, slow paths, and what to delete, merge or split. Ranked, each finding explained in plain English. One-shot report, changes nothing. Use for "audit this codebase", "review the whole repo", "find bloat", "what can I delete", /ponytail-audit.
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.
session-crosslink entireio/skills · score 67/100 (grade C)
Use when an agent session ran outside the repo whose commits should record it — e.g. launched from a higher-level folder, a non-Entire repo, or one repo but editing another — to attach the session to each affected Entire-enabled repo's HEAD commit.
sprint-plan alirezarezvani/claude-skills · score 67/100 (grade C)
Capacity-gated sprint planning — runs capacity math, carry-over check, and a definition-of-ready gate before committing scope. Usage: /sprint-plan <goal> [capacity]
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.
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-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-phylo-species-trees GPTomics/bioSkills · score 66/100 (grade C)
Estimates species trees under the multispecies coalescent from per-locus gene trees with the modern ASTER astral binary (ASTRAL-III/wASTRAL/ASTRAL-Pro), plus SVDQuartets, BPP, and StarBEAST2. Covers why a species tree is not a gene tree, why each locus has its own genealogy that disagrees by incomplete lineage sorting (ILS) even with zero error, why concatenation is statistically inconsistent and positively misleading in the anomaly zone where more loci converge on the wrong tree with full support, why gene-tree estimation error biases summary methods, that localPP is not bootstrap and ASTRAL branch lengths are coalescent units, and how minority-quartet symmetry separates ILS from introgression. Use when multi-locus discordance, rapid radiations, anomaly-zone risk, concordance-factor interpretation, or concatenation-vs-coalescent choice arise. Routes per-locus gene-tree inference and gCF/sCF to modern-tree-inference, dating to divergence-dating, orthology to comparative-genomics/ortholog-inference.
bio-vcf-manipulation GPTomics/bioSkills · score 66/100 (grade C)
Combine, split, sort, intersect, and subset VCF/BCF files with bcftools merge, concat, isec, sort, view, and reheader. Use when merging different samples into a cohort VCF, concatenating per-chromosome or per-region call sets for the same samples, intersecting or complementing call sets from different callers, subsetting samples/regions, harmonizing sample names and ##contig headers, or recomputing AC/AN/AF after subsetting. Covers the normalize-before-combine rule, the single-sample-merge 0/0-fabrication trap (merge is not joint genotyping), merge vs concat vs isec selection, and the --naive concat and -R-vs-T region caveats. Not for structural-variant merging by breakpoint fuzz (see variant-calling/structural-variant-calling) or joint genotyping of gVCFs (see variant-calling/joint-calling).
bio-workflows-chipseq-pipeline GPTomics/bioSkills · score 66/100 (grade C)
Orchestrates the end-to-end ChIP-seq pipeline from FASTQ to blacklist-filtered, annotated peaks, chaining fastp QC, Bowtie2 alignment, pre-dedup library-complexity QC (NRF/PBC), duplicate removal, chrM + ENCODE-blacklist filtering, MACS3 peak calling against a matched input, IDR/consensus reproducibility, deepTools signal tracks, and ChIPseeker annotation. Use when committing the reference build + blacklist version + effective genome size once, pairing each IP with its matched control, computing complexity metrics BEFORE dedup, choosing narrow vs broad and MACS3 vs SEACR/Genrich, keeping per-replicate peaks for IDR, or avoiding depth-normalization that erases a spike-in global shift. Hands mechanism to the chip-seq component skills; not a re-teach of any single step.
bio-workflows-crispr-screen-pipeline GPTomics/bioSkills · score 66/100 (grade C)
End-to-end pooled and single-cell CRISPR screen analysis from FASTQ to hit genes. Orchestrates library design QC, guide counting, six-stage screen QC (plasmid Gini, replicate Pearson, CEGv2 PR-AUC, copy-number artifact), method-appropriate hit calling across MAGeCK RRA/MLE, BAGEL2, drugZ, JACKS, and Chronos, cancer-cell-line copy-number correction (CRISPRcleanR / Chronos), batch correction for multi-batch screens, and the specialized branches for combinatorial paralog screens, single-cell Perturb-seq, base-editor variant-function screens, prime-editor screens, and in vivo bottleneck-aware screens. Use when analyzing any pooled CRISPR screen end-to-end, matching the hit-calling method to the experimental design, integrating copy-number correction into the pipeline, or branching the workflow for single-cell, combinatorial, base-editor, prime-editor, or in vivo variants.
bio-workflows-cytometry-pipeline GPTomics/bioSkills · score 66/100 (grade C)
End-to-end flow, spectral, and mass cytometry (CyTOF) pipeline from raw FCS files to differentially abundant/expressed cell populations. Orchestrates the read -> compensate/unmix -> transform -> QC -> doublet-removal -> cluster-or-gate -> annotate -> diffcyt DA/DS chain with flowCore/CATALYST/diffcyt, branching on instrument type and on clustering-vs-gating. Use when processing a cytometry experiment end-to-end, deciding the pipeline path for an instrument, or wiring the flow-cytometry component skills into one analysis with valid sample-level statistics.
bio-workflows-genome-annotation-pipeline GPTomics/bioSkills · score 66/100 (grade C)
Orchestrates genome annotation from assembled contigs to functional annotation, forking prokaryotic (Bakta one-step, genetic-code table from GTDB-Tk) vs eukaryotic (RepeatMask -> BRAKER3 -> functional -> ncRNA), then eggNOG/InterProScan functional assignment and Infernal/tRNAscan ncRNA. Use when committing the pro-vs-eukaryotic path and the genetic-code table from taxonomy (never guessing), annotating ONLY a decontaminated QC-passed assembly (CheckM2 before prokaryotic annotation is non-negotiable), committing the evidence set (RNA-seq + protein drives BRAKER3 training), soft-masking with a curated repeat library before gene prediction, or pinning the tool + DB version for any pangenome comparison. Hands mechanism to the genome-annotation component skills; not a re-teach of any single step.
bio-workflows-imc-pipeline GPTomics/bioSkills · score 66/100 (grade C)
Orchestrates imaging mass cytometry from raw MCD acquisitions to patient-level spatial analysis, chaining steinbock preprocessing, Mesmer/Cellpose segmentation, single-cell quantification, phenotyping, and squidpy spatial statistics. Use when committing the panel + segmentation frame + pixel size (every per-cell number is a mask-bounded pixel average), compensating channel spillover on PIXELS before segmentation but running REDSEA lateral-spillover on the per-cell table AFTER segmentation, using arcsinh cofactor 1 (not the suspension-CyTOF 5), and aggregating to the PATIENT before any cross-condition test (cells and ROIs from one patient are not independent replicates). Hands mechanism to the imaging-mass-cytometry component skills; not a re-teach of any single step.
bio-workflows-metabolic-modeling-pipeline GPTomics/bioSkills · score 66/100 (grade C)
Orchestrates genome-scale metabolic modeling from a protein FASTA to flux predictions, chaining CarveMe/gapseq reconstruction, memote QC, gap-filling, media-constrained FBA/FVA, gene essentiality, and context-specific models. Use when committing the reconstruction tool (which locks the identifier NAMESPACE forever - BiGG vs ModelSEED vs KEGG, no automatic translation), setting the medium BEFORE FBA (the exchange bounds ARE the medium; essentiality and gap-fill are computed relative to it), curating iteratively (stoichiometric-consistency first, then mass/charge, then directionality, then GPR) with energy-generating-cycle removal, and reading a MEMOTE score as well-formedness NOT correctness. Hands mechanism to the systems-biology component skills; not a re-teach of any single step.
commercial-forecaster alirezarezvani/claude-skills · score 66/100 (grade C)
Use when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board number — especially when the CRO needs to walk the board through funnel math + cohort ARR + per-stage conversion assumptions without the theatre of a single undefended number. Decomposes pipeline into commit, best-case, and pipe-only tiers; projects cohort-level NRR/GRR to surface leaky cohorts before they show up in the consolidated number; scores per-stage funnel confidence so soft-floor stages get treated differently from high-confidence ones. Every output explicitly names the conversion rate used, the data window, and the weighting choice. For Head of Commercial, RevOps, VP Sales, and CRO at quarterly forecast or board prep. NOT financial close (see finance/financial-analysis). NOT strategic CRO hiring/territory (see c-level-advisor/cro-advisor). NOT pricing (see sibling pricing-strategist).
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.
token-card affaan-m/ECC · score 66/100 (grade C)
Render a token-usage stat card from local Claude Code, Codex, Gemini CLI, and OpenCode session logs and commit it into the repository as a file. Use when someone wants a current usage figure in a README, or asks for a shareable card of their coding-agent activity.
token-card affaan-m/everything-claude-code · score 66/100 (grade C)
Render a token-usage stat card from local Claude Code, Codex, Gemini CLI, and OpenCode session logs and commit it into the repository as a file. Use when someone wants a current usage figure in a README, or asks for a shareable card of their coding-agent activity.
bio-comparative-genomics-positive-selection GPTomics/bioSkills · score 65/100 (grade C)
Detect positive (diversifying / episodic / pervasive) selection using codon dN/dS frameworks. Implements PAML codeml site models (M0/M1a/M2a/M7/M8/M8a), branch models, branch-site model A (Zhang 2005), and HyPhy methods (BUSTED, BUSTED-S, BUSTED-MH, BUSTED-PH, MEME, FEL, FUBAR, aBSREL, SLAC, RELAX, GARD, FUBAR-MH). Includes McDonald-Kreitman framework (asymptotic alpha, impMKT, polyDFE, DFE-alpha, GRAPES) for within-species + divergence inference, RERconverge for trait-correlated rate shifts, CSUBST for convergent substitution, and PhyloAcc for accelerated noncoding evolution. Use when testing adaptive evolution at codons, branches, or full gene; running GARD recombination pre-screen; controlling alignment-error and gBGC false positives; reconciling PAML vs HyPhy results; or performing genome-scale selection scans.
bio-phylo-bayesian-inference GPTomics/bioSkills · score 65/100 (grade C)
Frames Bayesian phylogenetics as approximating a posterior distribution over trees conditioned on data AND priors via an MCMC that must be proven to have converged, using MrBayes, BEAST2, RevBayes, and PhyloBayes-MPI. Covers why convergence (ESS, PSRF, ASDSF, topology vs scalar) is the load-bearing claim, why posterior probabilities are systematically higher than bootstrap and overconfident under model misspecification, why the default branch-length prior inflates tree length, why the harmonic-mean estimator must never select models (use stepping-stone), and when site-heterogeneous CAT-GTR is required at depth. Use when needing posterior clade support, model averaging, marginal-likelihood model comparison, or CAT models for deep phylogeny. Routes topology-only ML to modern-tree-inference, divergence times to divergence-dating, and tree summarization to tree-io.
bio-phylo-divergence-dating GPTomics/bioSkills · score 65/100 (grade C)
Estimate divergence times under molecular-clock models with BEAST2, MCMCTree/PAML, TreePL, and LSD2, framing a date as a product of the calibration prior and the clock model far more than of the sequence data. Covers why branch length = rate x time is nonidentifiable so only calibrations convert relative rate-time into absolute age; why the effective (marginal) prior on a calibrated node differs from the density specified, mandating a sample-from-prior run; the fossil-as-minimum rule, soft bounds, tip-dating, and the fossilized birth-death process; the temporal-signal check (TempEst root-to-tip regression + date-randomization) required before dating viruses or ancient DNA; and clock-model choice via the coefficient of variation. Use when dating nodes, calibrating with fossils or sampling dates, choosing a clock or dating engine, or routing topology to modern-tree-inference, posteriors to bayesian-inference, and rooting to tree-manipulation.
bio-phylo-tree-visualization GPTomics/bioSkills · score 65/100 (grade C)
Draw and export phylogenetic trees with Bio.Phylo plus matplotlib, and route rich figures to ggtree, ETE4, or iTOL. Covers why a tree figure is an argument not a neutral picture, the cladogram-vs-phylogram-vs-chronogram choice that hides or reveals rate and time, how ladderization manufactures a false arrow of progress, why an unlabeled support number always flatters the result (bootstrap vs posterior vs SH-aLRT vs UFBoot are different scales), why Bio.Phylo silently drops BEAST HPD bars so annotated Bayesian trees must go through treeio plus ggtree, and the tip-count and raster-vs-vector thresholds for legible publication figures. Use when drawing a tree, choosing a layout, coloring branches, showing or labeling support, exporting vector figures, or deciding a drawing tool. Routes annotation-preserving reads to tree-io, and rooting and ladderizing to tree-manipulation.
bio-variant-calling-joint-calling GPTomics/bioSkills · score 65/100 (grade C)
Joint genotype a cohort of per-sample gVCFs with GATK (HaplotypeCaller -ERC GVCF -> GenomicsDBImport or CombineGVCFs -> GenotypeGVCFs) or GLnexus for DeepVariant gVCFs, producing a squared-off sample-by-site genotype matrix. Use when deciding between joint genotyping and merging single-sample callsets (never bcftools merge as absent==hom-ref), choosing GenomicsDBImport vs CombineGVCFs by cohort size and memory, solving the N+1 problem so a new sample does not force re-calling everyone, understanding cohort rescue of low-coverage het sites, handling the spanning-deletion star allele and GQ/PL recomputation at the joint step, scaling to biobank cohorts by interval sharding, or picking DeepVariant+GLnexus over the GATK path on throughput. Not for single-sample calling (see variant-calling/gatk-variant-calling) or VQSR/hard-filter mechanism (see variant-calling/filtering-best-practices).
emergency-card sickn33/antigravity-awesome-skills · score 65/100 (grade C)
生成紧急情况下快速访问的医疗信息摘要卡片。当用户需要旅行、就诊准备、紧急情况或询问"紧急信息"、"医疗卡片"、"急救信息"时使用此技能。提取关键信息（过敏、用药、急症、植入物），支持多格式输出（JSON、文本、二维码），用于急救或快速就医。
gh-address-comments openai/skills · score 65/100 (grade C)
Help address review/issue comments on the open GitHub PR for the current branch using gh CLI; verify gh auth first and prompt the user to authenticate if not logged in.
git-guardrails-claude-code mattpocock/skills · score 65/100 (grade C)
Set up Claude Code hooks to block dangerous git commands (push, reset --hard, clean, branch -D, etc.) before they execute. Use when user wants to prevent destructive git operations, add git safety hooks, or block git push/reset in Claude Code.
gstack-openclaw-retro garrytan/gstack · score 65/100 (grade C)
Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware with per-person contributions, praise, and growth areas. Use when asked for weekly retro, what shipped this week, or engineering retrospective.
ic-memo anthropics/financial-services · score 65/100 (grade C)
Draft a structured investment committee memo for PE deal approval. Synthesizes due diligence findings, financial analysis, and deal terms into a professional IC-ready document. Use when preparing for investment committee, writing up a deal, or creating a formal recommendation. Triggers on "write IC memo", "investment committee memo", "deal write-up", "prepare IC materials", or "recommendation memo".
pr-dashboard github/awesome-copilot · score 65/100 (grade C)
Open a GitHub PR dashboard in the browser. Use when the user asks to see their pull requests, open the PR dashboard, show PRs for a date range, or check PR status. Trigger phrases include "show my PRs", "open PR dashboard", "pull request dashboard".
ralphinho-rfc-pipeline affaan-m/ECC · score 65/100 (grade C)
Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units.
ralphinho-rfc-pipeline affaan-m/everything-claude-code · score 65/100 (grade C)
Split an RFC into a multi-agent execution DAG — decompose into work units with dependencies and acceptance tests, run research, plan, implement, test, and review per unit, then merge through a queue with re-based branches and final system verification. Use when a feature is too large for a single agent pass, orchestrating RFC-driven multi-agent execution, or managing merge queues across agent-built units.
seo-autopilot Illyism/seo-skills · score 65/100 (grade C)
When the user wants an agent to run SEO for a product end to end on a daily schedule, with state kept in a seo/ folder in the repo. Covers site health checks, fact checks against commits, page 2 to page 1 pushes, AI answer tracking, competitor sitemap diffs, a monthly keyword map, articles, comparison pages, free tools and link drafts. Also use when the user mentions "seo autopilot" or asks for a daily SEO run.
spawn alirezarezvani/claude-skills · score 65/100 (grade C)
Launch N parallel subagents in isolated git worktrees to compete on the session task. Use when the user runs /hub:spawn or asks to start the competing agents for an initialized AgentHub session.
bio-clinical-biostatistics-cdisc-data GPTomics/bioSkills · score 64/100 (grade D)
Reads, validates, and prepares CDISC SDTM and ADaM clinical trial data for analysis. Covers SDTM domain joins (DM, AE, EX, VS, LB, DS), ADaM architecture (ADSL, BDS, OCCDS, ADTTE) with traceability, treatment-emergent AE conventions, baseline derivation, SUPPQUAL/NSV handling, Define-XML 2.1, and Pinnacle 21 / CORE validation. Use when working with clinical trial datasets in CDISC SDTM/ADaM format, preparing analysis-ready data, or validating for regulatory submission.
bio-comparative-genomics-introgression-detection GPTomics/bioSkills · score 64/100 (grade D)
Detect introgression and admixture between species or populations using Dsuite (Malinsky 2021 fast D-statistics), Patterson's D / ABBA-BABA test (Green 2010; Durand 2011), f4-ratio and f-branch statistic (Malinsky 2018), TreeMix (Pickrell & Pritchard 2012), HyDe (Blischak 2018), QuIBL (Edelman 2019), sprime (Browning 2018), Twisst (Martin 2017), PhyloNet (Than 2008) for explicit phylogenetic networks, and qpAdm / qpGraph (Patterson 2012). Distinguish introgression from incomplete lineage sorting (ILS), ancestral structure, ghost-lineage admixture, and rate variation. Use when testing inter-species gene flow, dating admixture events, identifying introgressed segments, building phylogenetic networks for reticulate evolution, or applying the ABBAclustering (Koppetsch-Malinsky-Matschiner 2024) framework for divergent-species gene flow.
business-name-fit alirezarezvani/claude-skills · score 64/100 (grade D)
Suggest, pick, or vet a business, startup, or product name that stays true to the founder's cultural origin while working professionally in the markets they want to sell into. Use when someone is naming a company, brand, or product and cares about how it lands across languages and regions — for example a name that sounds right at home but might read oddly to English speakers, or an authentic name they want to check before committing. Trigger this for any request about choosing a business name, checking if a name "works" abroad, spotting bad meanings in other languages, or making a name sound trustworthy in a specific market — even if the person doesn't say the word "skill".
handoff alirezarezvani/claude-skills · score 64/100 (grade D)
Compact the current conversation into a handoff document for another agent to pick up. References existing artifacts (PRDs, plans, ADRs, issues, commits, diffs) by path or URL instead of duplicating them. Use when user wants to hand off the conversation to a fresh agent or starts a new session that picks up prior work.
knowledge-ops affaan-m/ECC · score 64/100 (grade D)
Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.
knowledge-ops affaan-m/everything-claude-code · score 64/100 (grade D)
Knowledge base management, ingestion, sync, and retrieval across multiple storage layers (local files, MCP memory, vector stores, Git repos). Use when the user wants to save, organize, sync, deduplicate, or search across their knowledge systems.
merge alirezarezvani/claude-skills · score 64/100 (grade D)
Merge the winning agent's branch into base, archive losers, and clean up worktrees. Use when the user runs /hub:merge or asks to land the winning AgentHub result and tidy the session.
orch-add-feature affaan-m/ECC · score 64/100 (grade D)
Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.
orch-add-feature affaan-m/everything-claude-code · score 64/100 (grade D)
Orchestrate building a brand-new feature end to end — research, plan, TDD implementation, review, and gated commit — by delegating each phase to the matching ECC agent. Use when adding a capability that does not exist yet.
orch-change-feature affaan-m/ECC · score 64/100 (grade D)
Orchestrate altering an existing, working feature to new desired behavior — update its tests to the new spec, change the implementation to match, review, and gated commit. Use when behavior is not broken but should be different.
orch-change-feature affaan-m/everything-claude-code · score 64/100 (grade D)
Orchestrate altering an existing, working feature to new desired behavior — update its tests to the new spec, change the implementation to match, review, and gated commit. Use when behavior is not broken but should be different.
orch-fix-defect affaan-m/ECC · score 64/100 (grade D)
Orchestrate fixing a bug — reproduce it as a failing regression test, fix to green, review, and gated commit — by delegating each phase to the matching ECC agent. Use when existing behavior is broken or wrong.
orch-fix-defect affaan-m/everything-claude-code · score 64/100 (grade D)
Orchestrate fixing a bug — reproduce it as a failing regression test, fix to green, review, and gated commit — by delegating each phase to the matching ECC agent. Use when existing behavior is broken or wrong.
project-flow-ops affaan-m/ECC · score 64/100 (grade D)
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.
project-flow-ops affaan-m/everything-claude-code · score 64/100 (grade D)
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.
repo-story-time github/awesome-copilot · score 64/100 (grade D)
Generate a comprehensive repository summary and narrative story from commit history
bio-comparative-genomics-whole-genome-alignment GPTomics/bioSkills · score 63/100 (grade D)
Build whole-genome alignments using Progressive Cactus (Armstrong 2020 reference-free clade-level WGA), Minigraph-Cactus (Hickey 2024 pangenome-aware), LASTZ chain/net (UCSC pipeline), MUMmer4 (Marçais 2018 pairwise), minimap2 -x asm5/10/20 (Li 2018 fast pairwise), AnchorWave (Song 2022 WGD-aware), and Mauve / progressiveMauve (bacterial). Operates the HAL toolkit (Hickey 2013) for downstream extraction including halSynteny, halLiftover, halBranchMutations, and hal2maf. Use when constructing multi-species alignments for comparative-annotation projection (TOGA), synteny detection, conservation analyses (phyloP / PhastCons), or pangenome graph construction; selecting between reference-free (Cactus) and reference-anchored (LASTZ chains/nets) approaches; tuning sensitivity for closely vs distantly related genomes; or producing HAL files for genome-wide downstream tools.
bio-genome-intervals-interval-arithmetic GPTomics/bioSkills · score 63/100 (grade D)
Performs set operations on genomic intervals - intersect (-wa/-wb/-wo/-wao/-loj/-c/-v/-u), subtract (-A), merge (-d, -c/-o), complement, cluster, multiinter, unionbedg, map, and groupby - with bedtools (CLI) and pybedtools/pyranges/bioframe (Python). Covers the sorted-input contract and the -sorted chromosome-order footgun, reciprocal/fractional overlap (-f/-F/-r/-e) and the A-vs-B asymmetry, -split for spliced/BED12/BAM features, and jaccard/fisher as mechanics only. Use when finding overlapping or unique regions between BED/peak/feature files, building consensus peaksets, removing blacklisted regions, transferring annotation values onto intervals, or computing interval-set similarity; route overlap-significance testing to overlap-significance.
bio-phylo-modern-tree-inference GPTomics/bioSkills · score 63/100 (grade D)
Infers maximum-likelihood phylogenetic trees with IQ-TREE2 and RAxML-NG -- model selection (ModelFinder), branch support (UFBoot2, SH-aLRT), concordance factors (gCF/sCF), partitioning, topology tests, and long-branch-attraction control. Covers why an ML tree inherits every flaw of the assumed model and the fixed alignment, why reported support measures repeatability under resampling and not correctness, why UFBoot uses a >=95 cutoff and not the bootstrap-70 rule, and why a node with UFBoot 100 but gCF ~35 is essentially unresolved ILS rather than a clade. Use when inferring an ML tree, selecting a substitution or partition model, choosing or interpreting support measures, testing an a-priori topology, or diagnosing LBA. Routes model-free distance trees to distance-calculations, posteriors to bayesian-inference, and species trees under ILS to species-trees.
bio-workflows-metabolomics-pipeline GPTomics/bioSkills · score 63/100 (grade D)
Orchestrates the untargeted LC-MS metabolomics pipeline end-to-end (xcms 4.x feature extraction, QC/drift/normalization, confidence-stratified annotation, permutation-validated statistics, background-aware pathway mapping), naming what each stage decides and where it silently fails. Use when running a full LC-MS metabolomics study from raw mzML to enriched pathways and needing the honest handoffs between stages. Each stage defers to its component skill for parameters and traps; for stable-isotope flux (a separate branch, not this untargeted flow) see metabolomics/isotope-tracing.
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.
bio-workflows-smrna-pipeline GPTomics/bioSkills · score 63/100 (grade D)
Orchestrates the end-to-end small RNA-seq pipeline from FASTQ to differential miRNAs and expression-filtered targets, chaining kit-aware cutadapt trimming (adapter on every read, UMI/4N handling), miRge3 known+isomiR quantification or miRDeep2 novel discovery, compositionally-aware DESeq2, and miRanda target prediction. Use when committing the library-kit adapter/UMI handling once, choosing the NORMALIZER (which drives which miRNAs are called DE more than the DE model does), deciding known quantification vs novel discovery, handling biofluid/plasma libraries that lack a trustworthy endogenous normalizer, routing tRF/piRNA reads to their own profiling, or feeding RAW (not RPM) counts with size-factor inspection into DE. Hands mechanism to the small-rna-seq component skills; not a re-teach of any single step.
challenge alirezarezvani/claude-skills · score 63/100 (grade D)
Pre-mortem plan analysis. Imagine the plan failed 12 months from now and work backwards to find the weaknesses. Surfaces assumptions, dependencies, and execution risks before committing resources. Use when before significant resource commitment, before presenting to a board or investors, when feedback has been one-sidedly positive, or when there is pressure to move fast and figure it out later.
code-review mattpocock/skills · score 63/100 (grade D)
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding standards?) and Spec (does the code match what the originating issue/spec asked for?). Runs both reviews in parallel sub-agents and reports them side by side. Use when the user wants to review a branch, a PR, work-in-progress changes, or asks to \"review since X\".
pr-address-feedback github/awesome-copilot · score 63/100 (grade D)
Walk through PR review comments one-by-one, deciding for each whether to act on the feedback or reply with reasoning, and build an approvable resolution plan before changing anything. Use when the user wants to address, respond to, or triage PR review feedback.
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.
threat-model-analyst github/awesome-copilot · score 63/100 (grade D)
Full STRIDE-A threat model analysis and incremental update skill for repositories and systems. Supports two modes: (1) Single analysis — full STRIDE-A threat model of a repository, producing architecture overviews, DFD diagrams, STRIDE-A analysis, prioritized findings, and executive assessments. (2) Incremental analysis — takes a previous threat model report as baseline, compares the codebase at the latest (or a given commit), and produces an updated report with change tracking (new, resolved, still-present threats), STRIDE heatmap, findings diff, and an embedded HTML comparison. Only activate when the user explicitly requests a threat model analysis, incremental update, or invokes /threat-model-analyst directly.
web-to-app-funnel Eronred/aso-skills · score 63/100 (grade D)
When the user wants to design or optimize the funnel that takes web visitors into installing and onboarding the app — including smart app banners, web-to-app deep links, deferred deep links, web onboarding (Stripe-paid web flow before app install), QR codes, "open in app" CTAs, and the trade-off between paying on web vs in-app. Use when the user mentions "web to app", "smart app banner", "Stripe before app", "web paywall before install", "Branch web SDK", "web funnel for app", "AppsFlyer OneLink web", "Universal Links", "App Links", "QR code to app", "open in app", "deferred deep link from web", or "should I sell on web first then push to app". For pure in-app onboarding, see onboarding-optimization. For deep link infra, see attribution-setup.
ai-ready github/awesome-copilot · score 62/100 (grade D)
Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".
changelog-generator ComposioHQ/awesome-claude-skills · score 62/100 (grade D)
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
code-reviewer alirezarezvani/claude-skills · score 62/100 (grade D)
Code review automation for TypeScript, JavaScript, Python, Go, Swift, Kotlin, C#, .NET, Java, C, C++, Rust, Ruby, PHP, and Dart/Flutter. Analyzes PRs for complexity and risk, checks code quality for SOLID violations and code smells, generates review reports. Use when reviewing pull requests, analyzing code quality, identifying issues, generating review checklists.
slideshow heygen-com/hyperframes · score 62/100 (grade D)
Build a HyperFrames slideshow to present live - slides, fragment reveals, branching hotspots and presenter mode with speaker notes, served by `hyperframes present` - or turn an existing page into one. Use when the person wants a deck or presentation rather than a rendered video.
karpathy-check alirezarezvani/claude-skills · score 61/100 (grade D)
Run Karpathy's 4-principle review on staged changes or the last commit. Checks complexity, diff noise, hidden assumptions, and goal verification. Usage /karpathy-check [--last-commit]
ar-resume alirezarezvani/claude-skills · score 60/100 (grade D)
Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating. Use when the user runs /ar:ar-resume or asks to pick up a previously started autoresearch experiment.
bio-genome-annotation-eukaryotic-gene-prediction GPTomics/bioSkills · score 60/100 (grade D)
Predicts protein-coding gene structures (exons, introns, UTRs) in eukaryotic genomes with BRAKER3 (RNA-seq + protein evidence), BRAKER1/BRAKER2, GALBA (protein-only), Funannotate (fungi), GeMoMa (homology projection), or Helixer/Tiberius (deep-learning ab initio). Covers the evidence-first tool decision, mandatory soft-masking, the training-set-quality-dominates principle, OrthoDB clade-partition selection, the one-isoform-per-locus and missing-UTR traps, merge/split errors, and reference bias against orphan genes. Use when annotating a newly assembled eukaryotic genome, choosing a gene-prediction pipeline based on available evidence, or diagnosing a poor annotation.
cpo-review alirezarezvani/claude-skills · score 60/100 (grade D)
/c-level-agents:cpo-review [plan] — JTBD-driven interrogation of product roadmap, PMF signal, and portfolio focus. Use when committing a quarter's roadmap, deciding whether to kill a feature, or claiming PMF without a retention curve.
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.
public-relations coreyhaines31/marketingskills · score 60/100 (grade D)
When the user wants help with public relations, earned media, press coverage, journalist outreach, or media strategy (not pull requests). Also use when the user mentions 'PR,' 'press,' 'press release,' 'media outreach,' 'pitch a journalist,' 'get featured,' 'media list,' 'media kit,' 'press kit,' 'newsjacking,' 'news hijack,' 'HARO,' 'Qwoted,' 'Featured,' 'reporter request,' 'tech press,' 'TechCrunch,' 'thought leadership placement,' 'op-ed,' 'guest article,' 'press contacts,' 'podcast prep,' 'podcast guest,' 'prep me for this podcast,' 'how do I get press,' 'PR crisis,' 'crisis communications,' 'respond to backlash,' 'we got hacked,' 'data breach statement,' or 'holding statement.' Also covers crisis response when something goes wrong. For startup/SaaS/AI directory submissions, see directory-submissions. For product launches, see launch. For social-media engagement, see social. For cold-email outreach to prospects, see cold-email.
bio-comparative-genomics-gene-tree-species-tree-reconciliation GPTomics/bioSkills · score 59/100 (grade D)
Reconcile gene trees against a species tree under probabilistic models of duplication, transfer, and loss (DTL) using ALE (Szöllősi 2013 amalgamated likelihood), GeneRax (Morel 2020 ML reconciliation), AleRax (Morel 2024 co-estimation), Whale.jl (Bayesian DL+WGD), RANGER-DTL 2 parsimony, NOTUNG, ecceTERA, and Treerecs. Use when inferring ancestral gene-family content, distinguishing duplication from horizontal transfer from differential loss, rooting deep species trees from gene-content signals (STRIDE / Williams 2017 ALE-rooting), counting DTL events per branch, refining noisy gene trees against a species tree, modeling WGD events jointly with DTL, or producing publication-grade gene-family histories for phylogenomic / comparative analyses.
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.
larp-detector davidondrej/skills · score 59/100 (grade D)
Skeptical review of outside contributions to public repos. Use when reviewing, ranking, or replying to public GitHub pull requests or issues from outside contributors, or when the user says "larp-detector".
memory-merger github/awesome-copilot · score 59/100 (grade D)
Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.
orch-build-mvp affaan-m/ECC · score 59/100 (grade D)
Orchestrate bootstrapping a working MVP from a design or spec document — ingest the SDD/PRD, plan thin vertical slices, scaffold the first end-to-end slice, then drive a generator-evaluator build loop with review and gated feat commits. Use when a design or spec document must become a running MVP through planned vertical slices.
orch-build-mvp affaan-m/everything-claude-code · score 59/100 (grade D)
Orchestrate bootstrapping a working MVP from a design or spec document — ingest the SDD/PRD, plan thin vertical slices, scaffold the first end-to-end slice, then drive a generator-evaluator build loop with review and gated feat commits. Use when a design or spec document must become a running MVP through planned vertical slices.
changelog alirezarezvani/claude-skills · score 58/100 (grade D)
Generate changelogs from git history and validate conventional commits. Usage: /changelog <generate|lint> [options]
merger-model anthropics/financial-services · score 58/100 (grade D)
Build accretion/dilution analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation. Use when evaluating a potential acquisition, preparing merger consequences analysis for a pitch, or advising on deal terms. Triggers on "merger model", "accretion dilution", "M&A model", "pro forma EPS", "merger consequences", or "deal impact analysis".
nanoclaw-repl affaan-m/ECC · score 58/100 (grade D)
Operate and extend NanoClaw, ECC's zero-dependency session-aware REPL, with persistent markdown-backed sessions and slash commands for model switching, skill loading, session branching, cross-session search, history compaction, and export. Use when running or extending scripts/claw.js, or when resuming, branching, compacting, searching, or exporting a NanoClaw session.
nanoclaw-repl affaan-m/everything-claude-code · score 58/100 (grade D)
Operate and extend NanoClaw, ECC's zero-dependency session-aware REPL, with persistent markdown-backed sessions and slash commands for model switching, skill loading, session branching, cross-session search, history compaction, and export. Use when running or extending scripts/claw.js, or when resuming, branching, compacting, searching, or exporting a NanoClaw session.
post-mortem alirezarezvani/claude-skills · score 55/100 (grade D)
/c-level-agents:post-mortem [decision] — Honest retrospective on an executed decision, scored against original assumptions and dissent. Closes the strategic sprint loop. Use when a decision hits its 90-day review checkpoint or its kill criteria trigger — e.g. scoring last quarter's pricing change against its pre-committed success metrics.