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Claude Skills

The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.

Every Agent Skill we could find on GitHub, deduplicated by content. 79 404 files from 1 741 authors, of which 61 763 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.

61 763
unique skills
out of 79 404 files found on GitHub
17 641
are copies
same content, someone else's repository
1 737
tokens, median
what a typical skill costs you in context
7 882
name collisions
two skills with one name cannot sit side by side

6 901–6 960 of 61 763

page 116 of 1 030
Research Pipeline
by wanshuiyin

Full end-to-end research pipeline: from a broad research direction through idea discovery, experiments, and review all the way to a polished paper PDF. Use when user says \"全流程\", \"full pipeline\", \"从找idea到投稿\", \"end-to-end research\", or wants the complete autonomous research lifecycle.

4k tokens
Research Review
by wanshuiyin

Get a deep critical review of research from GPT using a secondary Codex agent. Use when user says \"review my research\", \"help me review\", \"get external review\", or wants critical feedback on research ideas, papers, or experimental results.

2k tokens
Research Refine Pipeline
by wanshuiyin

Run an end-to-end workflow that chains `research-refine` and `experiment-plan`. Use when the user wants a one-shot pipeline from vague research direction to focused final proposal plus detailed experiment roadmap, or asks to \"\u4e32\u8d77\u6765\", build a pipeline, do it end-to-end, or generate both the method and experiment plan together.

2k tokens
Research Refine
by wanshuiyin

Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.6-Sol review. Use when the user says \"refine my approach\", \"\u5e2e\u6211\u7ec6\u5316\u65b9\u6848\", \"decompose this problem\", \"\u6253\u78e8idea\", \"refine research plan\", \"\u7ec6\u5316\u7814\u7a76\u65b9\u6848\", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.

8k tokens
Research Wiki
by wanshuiyin

Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says \"知识库\", \"research wiki\", \"add paper\", \"wiki query\", \"查知识库\", or wants to build/query a persistent field map.

4k tokens
Resubmit Pipeline
by wanshuiyin

Workflow 5: orchestrate a text-only resubmit of a polished paper to a different venue under hard constraints (no new experiments, no bib edits, no framework changes, never overwrite prior submissions). Use when user says \"resubmit pipeline\", \"重投流程\", \"port paper to <new venue>\", \"resubmit to <venue>\", \"tighten paper for resubmission\", or has a rejected/withdrawn paper to move to a different top venue under tight time budget.

8k tokens
Result To Claim
by wanshuiyin

Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. A secondary Codex agent evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.

3k tokens
Run Experiment
by wanshuiyin

Deploy and run ML experiments on local or remote GPU servers. Use when user says \"run experiment\", \"deploy to server\", \"\u8dd1\u5b9e\u9a8c\", or needs to launch training jobs.

2k tokens
Semantic Scholar
by wanshuiyin

Search published venue papers (IEEE, ACM, Springer, etc.) via Semantic Scholar API. Complements /arxiv (preprints) with citation counts, venue metadata, and TLDR. Use when user says "search semantic scholar", "find IEEE papers", "find journal papers", "venue papers", "citation search", or wants published literature beyond arXiv preprints.

3k tokens
Serverless Modal
by wanshuiyin

Run GPU workloads on Modal — training, fine-tuning, inference, batch processing. Zero-config serverless: no SSH, no Docker, auto scale-to-zero. Use when user says \"modal run\", \"modal training\", \"modal inference\", \"deploy to modal\", \"need a GPU\", \"run on modal\", \"serverless GPU\", or needs remote GPU compute.

3k tokens
Specification Writing
by wanshuiyin

Write the full patent specification from claims and invention disclosure. Use when user says \"撰写说明书\", \"write specification\", \"写说明书\", \"patent description\", or wants to draft the complete patent specification.

2k tokens
Slides Polish
by wanshuiyin

Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides. Use AFTER /paper-slides (or any externally generated PPTX/Beamer) when the deck looks 'mostly OK' but the user wants a final pass that aligns visual weight with a reference, bumps PPTX fonts to projector-readable size, kills italic style leaks, fixes text-frame overflow, and catches per-slide layout drift. Trigger phrases: \"polish slides\", \"slides 排版不对\", \"PPTX 字体太小\", \"和 Beamer 比一下\", \"per-page review\", \"和 codex 一页一页过\".

7k tokens
System Profile
by wanshuiyin

Profile a target (script, process, GPU, memory, interconnect) for performance analysis. Use when user says \"profile\", \"benchmark\", \"bottleneck\", or wants performance analysis.

1k tokens
Training Check
by wanshuiyin

Interactively monitor training metrics from the current Codex session, periodically checking WandB or fallback logs for NaN, divergence, plateaus, and broken runs.

1k tokens
Vast Gpu
by wanshuiyin

Rent, manage, and destroy GPU instances on vast.ai. Use when user says \"rent gpu\", \"vast.ai\", \"rent a server\", \"cloud gpu\", or needs on-demand GPU without owning hardware.

4k tokens
Wiki Enrich
by wanshuiyin

Fill in the per-paper TODO sections of research-wiki/papers/<slug>.md pages that literature-ingest skills leave as bare scaffolds. Use when user says 'enrich wiki', 'fill paper TODOs', 'wiki body 補完', '把 paper 摘要寫進 wiki', 'research-wiki 自動填', or after a batch ingest that left papers/ as TODO scaffolds.

4k tokens
Web Debug Search
by wanshuiyin

Search GitHub, Stack Exchange, Chinese technical communities, official documentation, and general developer web sources for software errors, compatibility problems, API usage questions, and real-world workarounds. Use for debugging and discovery only; results are not paper-citation evidence.

4k tokens
Specification Writing
by wanshuiyin

Write the full patent specification from claims and invention disclosure. Use when user says \"撰写说明书\", \"write specification\", \"写说明书\", \"patent description\", or wants to draft the complete patent specification.

2k tokens
Slides Polish
by wanshuiyin

Per-page Codex review + targeted python-pptx / Beamer fixes for academic talk slides. Use AFTER /paper-slides (or any externally generated PPTX/Beamer) when the deck looks 'mostly OK' but the user wants a final pass that aligns visual weight with a reference, bumps PPTX fonts to projector-readable size, kills italic style leaks, fixes text-frame overflow, and catches per-slide layout drift. Trigger phrases: \"polish slides\", \"slides 排版不对\", \"PPTX 字体太小\", \"和 Beamer 比一下\", \"per-page review\", \"和 codex 一页一页过\".

7k tokens
Writing Systems Papers
by wanshuiyin

Paragraph-level structural blueprint for 10-12 page systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides page allocation, paragraph templates, and writing patterns. Use when user says \"写系统论文\", \"systems paper structure\", \"OSDI paper\", \"SOSP paper\", or wants fine-grained structural guidance for a systems conference submission.

2k tokens
Training Check
by wanshuiyin

Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.

1k tokens
Vast Gpu
by wanshuiyin

Rent, manage, and destroy GPU instances on vast.ai. Use when user says \"rent gpu\", \"vast.ai\", \"rent a server\", \"cloud gpu\", or needs on-demand GPU without owning hardware.

4k tokens
Wiki Enrich
by wanshuiyin

Fill in the per-paper TODO sections of research-wiki/papers/<slug>.md pages that literature-ingest skills leave as bare scaffolds. Use when user says 'enrich wiki', 'fill paper TODOs', 'wiki body 補完', '把 paper 摘要寫進 wiki', 'research-wiki 自動填', or after a batch ingest that left papers/ as TODO scaffolds.

4k tokens
Writing Systems Papers
by wanshuiyin

Paragraph-level structural blueprint for 10-12 page systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides page allocation, paragraph templates, and writing patterns. Use when user says \"写系统论文\", \"systems paper structure\", \"OSDI paper\", \"SOSP paper\", or wants fine-grained structural guidance for a systems conference submission.

2k tokens
Mermaid Diagrams
by langchain-ai
vendor

Embed Mermaid diagrams in generated wiki pages. Use whenever documenting a runtime or request flow, a call sequence, a state machine or lifecycle, a data model or entity relationships, or non-trivial control flow, since these are clearer as a diagram than as prose. Also use when an update run touches a page that already contains a mermaid fence, or a page that contains a text fence a previous run degraded.

952 tokens
Write Connector
by langchain-ai
vendor

Add a new built-in OpenWiki source connector. Use when a user asks to create or implement an OpenWiki connector.

593 tokens
Pr Draft Summary
by redis
vendor

Produce PR-ready output for redis-py — a one-line commit message and a copy-pasteable Markdown PR description (Change summary + Test coverage, 5–6 paragraphs) covering all staged changes plus the commits already on the current branch. Trigger whenever the user's message mentions any of these keywords or phrases: "PR", "pr", "PR description", "PR draft", "pull request", "the PR block", "commit msg", "commit message", or otherwise asks for a commit message or PR write-up for their local changes.

2k tokens
Maintainer Review
by redis
vendor

Review a GitHub issue or pull request URL as a redis-py maintainer, with a staged assessment of whether the claim is real, practically important, already solvable with supported functionality, correctly scoped, better served by another design, and worth maintainer and contributor effort. Use when assessing issue validity or severity, deciding whether an issue should be prioritized or closed, determining whether a requested feature represents an unmet need rather than a discoverability or usage gap, judging whether a PR is worth bringing to mergeable quality, comparing open PRs or alternative designs, separating code quality from repository readiness, or drafting a concise maintainer assessment. When closure, additional evidence, or code changes should be requested, also produce a polite, concise, complete, copy-paste-ready maintainer comment.

14k tokens
Maintainer Review
by redis
vendor

Review a GitHub issue or pull request URL as a redis-py maintainer, with a staged assessment of whether the claim is real, practically important, already solvable with supported functionality, correctly scoped, better served by another design, and worth maintainer and contributor effort. Use when assessing issue validity or severity, deciding whether an issue should be prioritized or closed, determining whether a requested feature represents an unmet need rather than a discoverability or usage gap, judging whether a PR is worth bringing to mergeable quality, comparing open PRs or alternative designs, separating code quality from repository readiness, or drafting a concise maintainer assessment. When closure, additional evidence, or code changes should be requested, also produce a polite, concise, complete, copy-paste-ready maintainer comment.

309 tokens
Pr Draft Summary
by redis
vendor

Produce PR-ready output for redis-py — a one-line commit message and a copy-pasteable Markdown PR description (Change summary + Test coverage, 5–6 paragraphs) covering all staged changes plus the commits already on the current branch. Trigger whenever the user's message mentions any of these keywords or phrases: "PR", "pr", "PR description", "PR draft", "pull request", "the PR block", "commit msg", "commit message", or otherwise asks for a commit message or PR write-up for their local changes.

202 tokens
Generate Release Notes
by redis
vendor

Generate a redis-py GitHub release-notes draft and save it as a Markdown file. Collects the merged PRs/commits since the previous release, maps each commit to its PR labels, categorizes them into the project's release sections (Breaking Changes, Deprecations, Experimental Features, New Features, Bug Fixes, Maintenance) using the skill's pr-labels-guide, infers a category for unlabeled PRs, and assembles the notes with an optional Highlights section and a contributors footer. Trigger this skill whenever the user says "release notes", "create release notes", "generate release notes", "draft release notes", "prepare release notes", "changelog", or asks for the release notes/changelog of a specific version or branch (e.g. "release notes for 8.0", "generate release notes for the 8.0 branch", "what changed since the last release"). A phrase like "release notes for 8.0" means: use branch `8.0` as the release-branch input. Also use when asked to summarize what changed since the last tag.

5k tokens
Generate Release Notes
by redis
vendor

Generate a redis-py GitHub release-notes draft and save it as a Markdown file. Collects the merged PRs/commits since the previous release, maps each commit to its PR labels, categorizes them into the project's release sections (Breaking Changes, Deprecations, Experimental Features, New Features, Bug Fixes, Maintenance) using the skill's pr-labels-guide, infers a category for unlabeled PRs, and assembles the notes with an optional Highlights section and a contributors footer. Trigger this skill whenever the user says "release notes", "create release notes", "generate release notes", "draft release notes", "prepare release notes", "changelog", or asks for the release notes/changelog of a specific version or branch (e.g. "release notes for 8.0", "generate release notes for the 8.0 branch", "what changed since the last release"). A phrase like "release notes for 8.0" means: use branch `8.0` as the release-branch input. Also use when asked to summarize what changed since the last tag.

349 tokens
Create Hec Event Integration
by bitwarden

Use when adding a new HEC (HTTP Event Collector) event integration to the Bitwarden web client. Implements the Splunk token authentication model (Bearer token + URI). Covers feature flag setup and card registration behind the flag. Does not apply to API key integrations or integrations requiring a custom connect dialog.

3k tokens
Create Pull Request
by bitwarden

Pull request creation workflow for Bitwarden Clients. Use when creating PRs, writing PR descriptions, or preparing branches for review. Triggered by "create PR", "pull request", "open PR", "gh pr create", "PR description".

403 tokens
Fix Angular Fixmes
by bitwarden

Resolves eslint-disable suppression comments throughout the Bitwarden clients codebase by fixing the underlying issue. Use when the user asks to "fix FIXMEs", "fix eslint suppressions", "clean up eslint-disable-next-line", "resolve CL-764", "resolve CL-903", "fix OnPush eslint suppressions", "fix Signals eslint suppressions", or reduce linting suppressions.

3k tokens
Cipher Type Planner
by bitwarden

Plans the creation or modification of a cipher type (vault item type) across the Bitwarden clients monorepo. Use this skill when a user wants to add a new cipher type, modify an existing cipher type, or asks about what is needed to implement a cipher type. DO NOT invoke for general vault or cipher questions unrelated to adding or changing a cipher type.

4k tokens
Writing Client Code
by bitwarden

Bitwarden client code conventions for Angular and TypeScript. Use when creating components, services, or modifying web/browser/desktop apps.

1k tokens
Figma To Angular
by bitwarden

> Converts Figma designs into production Angular components with Storybook stories for the Bitwarden Clients monorepo. Use this skill whenever the user provides a Figma URL and wants to create an Angular component, or mentions "implement this design", "create a component from Figma", "build this from the design spec", or similar. Also trigger when the user pastes a Figma link and asks for a component, even if they don't say "Figma" explicitly.

3k tokens
Angular Modernization
by bitwarden

Modernizes Angular code such as components and directives to follow best practices using both automatic CLI migrations and Bitwarden-specific patterns. YOU must use this skill when someone requests modernizing Angular code. DO NOT invoke for general Angular discussions unrelated to modernization.

3k tokens
Rnn Codebase
by wix
vendor

Navigate and work with the react-native-navigation (RNN) codebase. Use when fixing bugs, adding features, tracing command flows, understanding options resolution, or working across JS/iOS/Android layers in this repo.

3k tokens
Rnn Codebase
by wix
vendor

Navigate and work with the react-native-navigation (RNN) codebase. Use when fixing bugs, adding features, tracing command flows, understanding options resolution, or working across JS/iOS/Android layers in this repo.

2k tokens
Ios26 Navigation
by wix
vendor

Reference for iOS 26 navigation bar, tab bar, toolbar, and Liquid Glass building blocks (UITab, scroll-edge effects, search placement, shared-background platter, UIButton glass configurations, UIGlassEffect / UIGlassContainerEffect, UINavigationItem.style navigator/browser/editor, UICornerConfiguration / concentric corners, UISheetPresentationController, SF Symbols 7) plus the internal view hierarchy of UIBarButtonItem and UIToolbar, and how react-native-navigation maps to all of it. Use when adding or fixing iOS 26 behavior in RNN's top bar, bottom tabs, bar buttons, toolbar, modals, or any glass-styled custom chrome; when investigating iOS 26-only regressions; or when deciding how to expose a new iOS 26 capability through RNN options.

8k tokens
Rnn Codebase
by wix
vendor

Navigate and work with the react-native-navigation (RNN) codebase. Use when fixing bugs, adding features, tracing command flows, understanding options resolution, or working across JS/iOS/Android layers in this repo.

2k tokens
Engine E2e
by wix
vendor

Run Wix Engine (mobile-apps-engine) iOS E2E tests locally to validate RNN changes. Use when you need to test RNN fixes against the Engine's Detox test suite.

1k tokens
Dashboard Create Screen
by Automattic

Create a new screen in the Multi-site Dashboard with automatic route registration

2k tokens
Help Center UI Test
by Automattic

Run a browser-based UI review of the WordPress.com Help Center across multiple surfaces, looking for visual and behavioral issues. Use when asked to test the Help Center UI.

2k tokens
Calypso Security Alerts
by Automattic

Provide advisory guidance for scanning Automattic/wp-calypso Dependabot alerts and Dependabot remediation PRs using the public dependency security alerts playbook.

492 tokens
Fix E2e Tests
by Automattic

Given a wp-calypso PR number, identify the failing E2E test(s) in that PR's CI run so they can be fixed. Use when asked to investigate or fix a failing E2E test on a specific PR.

10k tokens scripts
Reader Protocol Pr Review
by Automattic

Use when reviewing PRs that touch the Reader's multi-protocol social surfaces (`client/reader/social/`, `client/reader/atmosphere/`, `client/reader/mastodon/`, `packages/api-core/src/reader-{atmosphere,mastodon}/`, `packages/api-queries/src/reader-{atmosphere,mastodon}.ts`). Captures the review rubric + the recurring smells from the CM-625 / CM-658 / CM-660 / CM-662 slice cycle.

4k tokens
Image Studio UI Tests
by Automattic

Run comprehensive UI tests for the Image Studio feature. Covers Media Library entry points, Edit Mode, Generate Mode, Block Editor integration, navigation, and delete. Use when running the full UI smoke test or testing any Image Studio surface.

11k tokens
Stepper Flow
by Automattic
6k tokens
Calypso React Query Migration
by Automattic

Use when editing or migrating Calypso Reader data-fetching code — `client/components/data/query-reader-*` components, `@automattic/data-stores` Reader hooks, or new Reader queries/mutations. Triggers on any work involving `api-core`, `api-queries`, `dispatchRequest`, `READER_*_REQUEST` actions, or Redux `isRequesting*` selectors in the Reader.

8k tokens
Pull Requests
by microsoft
vendor

> Guidance for creating pull requests and handling PR review comments in the Agent Framework repository. Use this when writing a PR description (filling out the PR template) or when responding to and resolving review comments on an existing PR.

1k tokens
Pull Requests
by microsoft
vendor

> Guidance for creating pull requests and handling PR review comments in the Agent Framework repository. Use this when writing a PR description (filling out the PR template) or when responding to and resolving review comments on an existing PR.

1k tokens
Build And Test
by microsoft
vendor

How to build and test .NET projects in the Agent Framework repository. Use this when verifying or testing changes.

2k tokens
Verify Samples Tool
by microsoft
vendor
2k tokens
Project Structure
by microsoft
vendor

Explains the project structure of the agent-framework .NET solution

399 tokens
Python Code Quality
by microsoft
vendor

> Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.

1k tokens
Agent Framework Py Release
by microsoft
vendor

Use when cutting a Python release for the microsoft/agent-framework monorepo. Triggers on "bump py versions", "cut a python release", "prepare release PR for python", "release py packages", "bump python to X.Y.Z", or similar requests to bump Python package versions and prepare a release PR. Handles all four lifecycle tiers (alpha, beta, rc, released) with CHANGELOG-driven selective bumps, floor bound checks, and post-bump validation.

5k tokens
Python Package Management
by microsoft
vendor

> Guide for managing packages in the Agent Framework Python monorepo, including creating new connector packages, versioning, and the lazy-loading pattern. Use this when adding, modifying, or releasing packages.

3k tokens

Claude Skills — questions

Answers built from the skills we actually parsed.

What is a Claude Skill?
A folder with a SKILL.md file: instructions that teach an agent to do one thing well, optionally with scripts and reference files alongside. The format is open and called Agent Skills — Claude Code, Codex and other agents read the same files. It is not a program you run; it is knowledge the agent loads when the task calls for it.
How is a skill different from an MCP server?
A server gives the agent new abilities — it connects to something and exposes tools. A skill gives the agent knowledge: how to use what it already has. They combine, and often literally: 11 329 of the skills here declare which MCP servers they need to work.
Why are there fewer skills here than in other catalogues?
Because we deduplicate by content. Of 79 404 files found on GitHub, 61 763 are unique — the rest is the same skill copied into someone else's repository, word for word. Catalogues that count files rather than skills show every copy as a separate entry.
What does the token count mean?
A skill is loaded into the model's context when it is used, so its size is a running cost on every request that touches it. We measure the whole folder, not just SKILL.md: one official skill is 377 tokens, another drags 83 files of fonts behind it.
How do I install a skill?
Copy the skill folder into ~/.claude/skills for personal use, or into .claude/skills inside a project. The agent picks it up by the name in the SKILL.md header — which is worth checking: 7 882 skills here share a name with another skill, and two of them cannot sit side by side.