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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. 79 354 files from 1 739 authors, of which 61 713 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.

61 713
unique skills
out of 79 354 files found on GitHub
17 641
are copies
same content, someone else's repository
1 738
tokens, median
what a typical skill costs you in context
7 879
name collisions
two skills with one name cannot sit side by side

6 001–6 060 of 61 713

page 101 of 1 029
Triage Issue
by mastra-ai
vendor

First-contact triage for a GitHub issue

2k tokens
Understand Pr
by mastra-ai
vendor

Guided interactive PR review — understand the history and context before forming opinions

3k tokens
Configure Factory Rules
by mastra-ai
vendor

Configure typed Mastra Factory rules and exact-leaf overrides in deployment code

881 tokens
Herdr Manager Query
by mastra-ai
vendor

Query the authoritative global Herdr Review and Work Manager inventory, recommend actionable PR work, and explicitly materialize confirmed remote-only Review Manager records through the plugin's stable public CLI.

2k tokens
Testing Mastracode Tui
by mastra-ai
vendor

Testing mastracode TUI features interactively in Konsole. Covers model configuration, thread lifecycle, task state isolation, and common blockers.

2k tokens
Understand Issue
by mastra-ai
vendor

Collaboratively investigate a GitHub issue or bug — trace history, understand architecture, diagnose root cause

3k tokens
Herdr Kit Workflows
by mastra-ai
vendor

>-

4k tokens
Factory Plan
by mastra-ai
vendor

Produce a phased implementation plan for a Factory work item, then advance it to execute

1k tokens
Factory Review
by mastra-ai
vendor

Review a pull request for a Factory work item — history and context first, then a verdict published on the PR — and mark the review complete

5k tokens
Coding Agent
by mastra-ai
vendor

Authoring playbook for building agents that write, edit, review, or refactor code. Use this when the user asks for an agent that writes scripts, generates code, reviews pull requests, refactors a codebase, fixes bugs, implements features, writes tests, or works with programming languages such as Python, TypeScript, JavaScript, Go, Rust, SQL, or shell.

2k tokens
Agent Prompt Quality Bar
by mastra-ai
vendor

Universal quality bar and final audit rubric for any agent system prompt. Activate this whenever you are unsure which archetype skill applies, or as a final review pass before writing the system prompt. It defines the required run contract, completion criteria, fallback paths, response format, and anti-patterns every produced agent prompt must satisfy.

2k tokens
Codemod Patterns
by mastra-ai
vendor
5k tokens
Factory Triage
by mastra-ai
vendor

Triage a Factory work item's issue — trace history, understand architecture, diagnose root cause, then advance the stage

2k tokens
Content Writer Agent
by mastra-ai
vendor

Authoring playbook for building agents that draft written content — blog posts, marketing copy, social media posts, newsletters, product descriptions, landing pages, or ad copy. Use this when the user wants an agent that writes, drafts, or rewrites text for publication or marketing.

1k tokens
Customer Support Agent
by mastra-ai
vendor

Authoring playbook for building agents that triage and reply to customer messages — support tickets, email inquiries, chat questions, refund requests, or product issues. Use this when the user wants an agent that handles inbound customer questions, drafts replies, escalates hard cases, summarizes tickets, or follows a support playbook.

2k tokens
Generic Assistant
by mastra-ai
vendor

Fallback authoring playbook for building general-purpose personal assistant agents that do not fit a more specific archetype. Use this only after checking the other archetype skills (coding, spreadsheet, research, customer-support, content-writer, ops-automation). Examples include summarizing emails, drafting short answers, capturing notes, or generic personal-helper agents.

1k tokens
Ops Automation Agent
by mastra-ai
vendor

Authoring playbook for building agents that automate recurring internal tasks — running scheduled workflows, syncing data between systems, posting notifications, processing inbound events, or executing operational runbooks. Use this when the user wants an agent that runs on a schedule, reacts to events, automates a process, syncs between tools, or handles ops/internal infrastructure.

2k tokens
Research Agent
by mastra-ai
vendor

Authoring playbook for building agents that search, read, and synthesize information into a report. Use this when the user wants an agent to research a topic, summarize sources, compare options, do competitive analysis, monitor news, generate briefs, or pull together a citation-backed report from the web or internal documents.

2k tokens
Spreadsheet Agent
by mastra-ai
vendor

Authoring playbook for building agents that read or write tabular data — Google Sheets, Microsoft Excel, CSV, Airtable, Notion databases, or any spreadsheet. Use this when the user wants an agent that updates rows, reads cells, computes totals, generates reports from sheets, syncs data between spreadsheets, or automates anything involving rows, columns, ranges, or worksheets.

2k tokens
Frontend Slides
by zarazhangrui

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.

883k tokens scripts
Debug
by openai
vendor

Investigate stuck runs and execution failures by tracing Symphony and Codex logs with issue/session identifiers; use when runs stall, retry repeatedly, or fail unexpectedly.

1k tokens
Pull
by openai
vendor

Pull latest origin/main into the current local branch and resolve merge conflicts (aka update-branch). Use when Codex needs to sync a feature branch with origin, perform a merge-based update (not rebase), and guide conflict resolution best practices.

1k tokens
Release
by openai
vendor

Cut a Symphony release by bumping the committed version, landing it, tagging the merged commit, and verifying the Burrito release workflow. Use when asked to release, tag, or retag Symphony.

295 tokens
Land
by openai
vendor

Land a PR by monitoring conflicts, resolving them, waiting for checks, and squash-merging when green; use when asked to land, merge, or shepherd a PR to completion.

7k tokens scripts
Push
by openai
vendor

Push current branch changes to origin and create or update the corresponding pull request; use when asked to push, publish updates, or create pull request.

1k tokens
Commit
by openai
vendor

Create a well-formed git commit from current changes using session history for rationale and summary; use when asked to commit, prepare a commit message, or finalize staged work.

620 tokens
Linear
by openai
vendor

| Use Symphony's `linear_graphql` client tool for raw Linear GraphQL operations such as comment editing and upload flows.

2k tokens
Compiler And Fourslash Tests
by microsoft
vendor

> How to write, run, and debug compiler tests and fourslash (LSP) tests in the typescript-go repository. Covers test file formats, directives, markers, baseline management, and the fourslash verification API.

4k tokens
Major Version Mode
by vercel
vendor

Context for working on the next AI SDK major release. Only use when explicitly invoked by the user (e.g. via '/major-version-mode'). Do NOT trigger autonomously based on task content.

802 tokens
Capture API Response Test Fixture
by vercel
vendor

Capture API response test fixture.

511 tokens
List npm Package Content
by vercel
vendor

List the contents of an npm package tarball before publishing. Use when the user wants to see what files are included in an npm bundle, verify package contents, or debug npm publish issues.

299 tokens scripts
Migrate AI SDK V6 To V7
by vercel
vendor

Migrate applications from AI SDK 6.x to AI SDK 7.0. Use when upgrading Vercel AI SDK packages, fixing v7 migration errors, or when the user mentions AI SDK v6, v7, upgrade, migration, breaking changes, system to instructions, fullStream, telemetry, tool context, or finalStep.

2k tokens
Add Provider Package
by vercel
vendor

Guide for adding new AI provider packages to the AI SDK. Use when creating a new @ai-sdk/<provider> package to integrate an AI service into the SDK.

3k tokens
Adr Skill
by vercel
vendor

Create and maintain Architecture Decision Records (ADRs) optimized for agentic coding workflows. Use when you need to propose, write, update, accept/reject, deprecate, or supersede an ADR; bootstrap an adr folder and index; consult existing ADRs before implementing changes; or enforce ADR conventions. This skill uses Socratic questioning to capture intent before drafting, and validates output against an agent-readiness checklist.

17k tokens scripts
Update Harness Dependencies
by vercel
vendor

Update the primary SDK dependencies of harness packages. Use when asked to update the harness SDKs or harness adapter dependencies.

805 tokens
Add Harness Package
by vercel
vendor

Guide for adding new AI SDK harness packages. Use when creating a new @ai-sdk/harness-<name> package that adapts a coding-agent runtime to HarnessV1.

3k tokens
Update Provider Models
by vercel
vendor

Add new or remove obsolete model IDs for existing AI SDK providers. Use when adding a model to a provider, removing an obsolete model, or processing a list of model changes from an issue. Triggers on "add model", "remove model", "new model ID", "obsolete model", "update model IDs".

2k tokens
AI SDK
by vercel
vendor

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

1k tokens
Planning With Files
by OthmanAdi

Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

62k tokens scripts
Planning With Files
by OthmanAdi

Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

63k tokens scripts
Planning With Files
by OthmanAdi

Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

46k tokens scripts
Planning With Files
by OthmanAdi

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

33k tokens scripts
Planning With Files
by OthmanAdi

Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

46k tokens scripts
Planning With Files
by OthmanAdi

Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

46k tokens scripts
Planning With Files
by OthmanAdi

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

38k tokens scripts
Planning With Files
by OthmanAdi

Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Hermes adaptation with minimal notes.

17k tokens scripts
Planning With Files
by OthmanAdi

Manus-style file-based planning for complex tasks. Creates and maintains task_plan.md, findings.md, and progress.md under .kiro/plan/. Use when planning, breaking down work, resuming a multi-step task, tracking phases, or restoring context after compaction. Trigger phrases include start planning, continue task, resume work, current phase, restore context.

10k tokens scripts
Planning With Files
by OthmanAdi

Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

25k tokens scripts
Planning With Files
by OthmanAdi

Manus-style persistent file-based planning for AI coding agents: keeps task_plan.md, findings.md, and progress.md on disk so work survives context loss and /clear. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

31k tokens scripts
Pi Planning With Files
by OthmanAdi

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when asked to plan out, break down, or organize a multi-step project, research task, or any work requiring 5+ tool calls. Supports automatic session recovery after /clear.

88k tokens scripts
Planning With Files Ar
by OthmanAdi

نظام تخطيط الملفات بنمط Manus لتنظيم وتتبع تقدم المهام المعقدة. ينشئ ملفات task_plan.md و findings.md و progress.md. يُستخدم عند طلب التخطيط أو تحليل المهام أو تنظيم المشاريع أو تتبع التقدم أو الخطط متعددة الخطوات. يدعم الاستعادة التلقائية للجلسة بعد /clear. كلمات التشغيل: تخطيط المهام، إدارة المشاريع، خطة العمل، تحليل المهام، تنظيم المشروع، تتبع التقدم، خطة متعددة الخطوات، ساعدني في التخطيط، تحليل المشروع

27k tokens scripts
Planning With Files De
by OthmanAdi

Manus-artiges Dateiplanungssystem zur Organisation und Verfolgung des Fortschritts komplexer Aufgaben. Erstellt task_plan.md, findings.md und progress.md. Wird verwendet, wenn der Benutzer plant, zerlegt oder organisiert: mehrstufige Projekte, Forschungsaufgaben oder Arbeiten mit über 5 Tool-Aufrufen. Unterstützt automatische Sitzungswiederherstellung nach /clear. Auslöser: Aufgabenplanung, Projektplanung, Arbeitsplan erstellen, Aufgaben analysieren, Projekt organisieren, Fortschritt verfolgen, Mehrstufige Planung, Hilf mir bei der Planung, Projekt zerlegen

25k tokens scripts
Planning With Files Es
by OthmanAdi

Sistema de planificación basado en archivos estilo Manus para organizar y rastrear el progreso de tareas complejas. Crea task_plan.md, findings.md y progress.md. Cuando el usuario solicita planificación, desglose u organización de proyectos multipaso, tareas de investigación o trabajos que requieren más de 5 llamadas a herramientas. Soporta recuperación automática de sesión tras /clear. Palabras clave: planificación de tareas, planificación de proyecto, crear plan de trabajo, analizar tareas, organizar proyecto, seguimiento de progreso, planificación multipaso, ayúdame a planificar, desglosar proyecto

25k tokens scripts
Planning With Files Zh
by OthmanAdi

基于 Manus 风格的文件规划系统,用于组织和跟踪复杂任务的进度。创建 task_plan.md、findings.md 和 progress.md 三个文件。当用户要求规划、拆解或组织多步骤项目、研究任务或需要超过5次工具调用的工作时使用。支持 /clear 后的自动会话恢复。触发词:任务规划、项目计划、制定计划、分解任务、多步骤规划、进度跟踪、文件规划、帮我规划、拆解项目

22k tokens scripts zh
Planning With Files Zht
by OthmanAdi

基於 Manus 風格的檔案規劃系統,用於組織和追蹤複雜任務的進度。建立 task_plan.md、findings.md 和 progress.md 三個檔案。當使用者要求規劃、拆解或組織多步驟專案、研究任務或需要超過5次工具呼叫的工作時使用。支援 /clear 後的自動會話恢復。觸發詞:任務規劃、專案計畫、制定計畫、分解任務、多步驟規劃、進度追蹤、檔案規劃、幫我規劃、拆解專案

22k tokens scripts zh
Intended Vs Implemented
by phuryn

The method for finding the gap between what a system is supposed to do and what the code actually does — the class of bug generic scanners miss because they have no model of intent. Defines what counts as documented intent, what counts as implementation evidence, which mismatches matter, and how to avoid hand-wavy findings. Use when auditing AI-built code, reviewing access control against documented permissions, or checking whether a codebase matches its own documentation.

953 tokens
Shipping Artifacts
by phuryn

The durable documentation set that makes an AI-built (vibe-coded) app reviewable before shipping. A small core every app needs — architecture, user/permission flows, permissions, variables/secrets, and a test-coverage map — plus conditional docs added only when they apply: emails, scheduled work, SEO, and embedded agents/automation. Defines what each doc must capture and how a reviewer or auditor uses it. Use when documenting a codebase for handoff, mapping user journeys and trust-boundary crossings, planning test coverage, or preparing for a security or performance audit.

2k tokens
Ab Test Analysis
by phuryn

Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.

896 tokens
Cohort Analysis
by phuryn

Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.

1k tokens
SQL Queries
by phuryn

Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or translating business questions into queries.

907 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 79 354 files found on GitHub, 61 713 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: 7 879 skills here share a name with another skill, and two of them cannot sit side by side.