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. 79 566 files from 1 758 authors, of which 61 913 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.
Azure Queue Storage JavaScript/TypeScript SDK (@azure/storage-queue) for message queue operations. Use for sending, receiving, peeking, and deleting messages in queues.
Use when user needs capabilities Claude lacks (image generation, real-time X/Twitter data) or explicitly requests external models (\\\"blockrun\\\", \\\"use grok\\\", \\\"use gpt\\\", \\\"da...
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatt...
BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when: bullmq, bull queue, redis queue, background job, job queue.
Development skill from everything-claude-code
A health assistant skill for medical information analysis, symptom tracking, and wellness guidance.
Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies \\\"Thinking\\\" keywords, debugging techniques, and best practices for interacting wit...
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visua...
Diagnose and fix Claude in Chrome MCP extension connectivity issues. Use when mcp__claude-in-chrome__* tools fail, return "Browser extension is not connected", or behave erratically.
Scientific research and analysis skills
-Speed read Claude's responses at 600+ WPM using RSVP with Spritz-style ORP highlighting
Windows 11 system management
Semantic code search and AI-powered codebase Q&A across indexed repositories. Use when understanding code beyond local files, exploring dependencies, discovering cross-project patterns, planning features, debugging, or onboarding. Queries like "How does X work?", "Show me Y patterns", "How is library Z used?". Provides search (fast, returns file locations) and chat-with-codebase (slower, costs more, but returns synthesized answers).
Build AI agents that interact with computers like humans do - viewing screens, moving cursors, clicking buttons, and typing text. Covers Anthropic's Computer Use, OpenAI's Operator/CUA, and open-so...
SOTA Computer Vision Expert (2026). Specialized in YOLO26, Segment Anything 3 (SAM 3), Vision Language Models, and real-time spatial analysis.
Cross-tool AI consultation. Use when user asks to 'consult gemini', 'ask codex', 'get second opinion', 'cross-check with claude', 'consult another AI', 'ask opencode', 'copilot opinion', or wants a second opinion from a different AI tool.
Design and evaluate compression strategies for long-running sessions
Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash
Understand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
Understand what context is, why it matters, and the anatomy of context in agent systems
Strategies for managing LLM context windows including summarization, trimming, routing, and avoiding context rot Use when: context window, token limit, context management, context engineering, long...
Persistent memory systems for LLM conversations including short-term, long-term, and entity-based memory Use when: conversation memory, remember, memory persistence, long-term memory, chat history.
Lightweight test coverage analysis using git and file system heuristics. Identifies source files with no corresponding test file. No coverage tools required — works on any project by pattern matching. The CHECK skill for testing, analogous to validate-docs for documentation.
Comprehensive guide for creating Claude Code agents with proper structure, triggering conditions, system prompts, and validation - combines official Anthropic best practices with proven patterns
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
Create and configure git hooks with intelligent project analysis, suggestions, and automated testing
Create a structured implementation plan for a feature or change. This documentation shall serve Agents and Humans. Produces a plan with requirements, phases, implementation steps, todo list, and Definition of Done. Use this skill when the user wants to plan a non-trivial feature before implementing it.
Guide for creating effective skills. This command should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization
Create a workflow command that orchestrates multi-step execution through sub-agents with file-based task prompts
Autonomous crypto business development patterns — multi-chain token discovery, 100-point scoring with wallet forensics, x402 micropayments, ERC-8004 on-chain identity, LLM cascade routing, and...
Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences.
Creates devcontainers with Claude Code, language-specific tooling (Python/Node/Rust/Go), and persistent volumes. Use when adding devcontainer support to a project, setting up isolated development environments, or configuring sandboxed Claude Code workspaces.
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Execute a task with sub-agent implementation and LLM-as-a-judge verification with automatic retry loop
Execute tasks through competitive multi-agent generation, multi-judge evaluation, and evidence-based synthesis
Execute complex tasks through sequential sub-agent orchestration with intelligent model selection, and LLM-as-a-judge verification
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional document...
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of 'Word doc', 'word document', '.docx', or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a 'report', 'memo', 'letter', 'template', or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Write idiomatic Elixir code with OTP patterns, supervision trees, and Phoenix LiveView. Masters concurrency, fault tolerance, and distributed systems.
Select and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific dom...
Use when improving agent prompts, frontmatter, and tool restrictions.
Use when improving CLAUDE.md or AGENTS.md project memory files.
Use when improving documentation structure, accuracy, and RAG readiness.
Use when improving general prompts for structure, examples, and constraints.
Use when working with error debugging multi agent review
Build evaluation frameworks for agent systems
AI-powered image editing with style transfer and object removal
Web fuzzing with ffuf
This skill should be used when the user asks to "offload context to files", "implement dynamic context discovery", "use filesystem for agent memory", "reduce context window bloat", or mentions file-based context management, tool output persistence, agent scratch pads, or just-in-time context loading.
Automate Flowiseai tasks via Rube MCP (Composio). Always search tools first for current schemas.
Automate Fluxguard tasks via Rube MCP (Composio). Always search tools first for current schemas.
A practical, jargon-free guide to fp-ts functional programming - the 80/20 approach that gets results without the academic overhead. Use when writing TypeScript with fp-ts library.
Automate Gan AI tasks via Rube MCP (Composio). Always search tools first for current schemas.
Multi-agent orchestrator for Claude Code. Use when user mentions gastown, gas town, gt commands, bd commands, convoys, polecats, crew, rigs, slinging work, multi-agent coordination, beads, hooks, molecules, workflows, the witness, the mayor, the refinery, the deacon, dogs, escalation, or wants to run multiple AI agents on projects simultaneously. Handles installation, workspace setup, work tracking, agent lifecycle, crash recovery, and all gt/bd CLI operations.
Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or n...
Automate Gemini tasks via Rube MCP (Composio). Always search tools first for current schemas.
Generates a project-specific AGENTS.md that captures conventions, build commands, module rules, and coding standards. This file is read at session start by coding agents and helps keep behavior consistent.
Generate project documentation from an existing codebase. This documentation shall serve Agents and Humans. Creates a project overview, module documentation, and feature documentation with explicit inventories (files/dirs + symbols) for each module. Use this skill when onboarding a new project or creating initial documentation for an undocumented codebase.
Generate a session handover document that captures progress, decisions, and context for seamless session continuity. This documentation shall serve Agents and Humans when working in consecutive sessions with the project. Use this skill at the end of a work session or when context transfer to a new session is needed.
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
Answers built from the skills we actually parsed.