# 🎯 Awesome Agent Skills [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)
Awesome Agent Skills - The definitive resource for Agent Skills

## 💡 What Are Agent Skills? **Agent Skills** mark a fundamental shift from monolithic AI systems to composable agent architectures. Rather than embedding capabilities through expensive fine-tuning or bloating context windows with static documentation, skills provide **modular, on-demand knowledge injection** through standardized `SKILL.md` packages. ### The Architecture **Progressive Disclosure at Scale**: Skills leverage a three-tier context management strategy: 1. **Discovery** (~50 tokens): Lightweight metadata (name + description) loads at startup 2. **Activation** (~2-5K tokens): Full `SKILL.md` instructions load when task-relevant 3. **Execution**: Referenced scripts and resources accessed dynamically This architecture delivers: - 🧠 **Infinite capability scaling** - No context window trade-offs - ⚡ **Sub-second skill loading** - Zero startup latency penalty - 🔄 **Cross-platform portability** - Write once, deploy to any compatible agent - 📦 **Frictionless distribution** - Share via Git, install like packages ### The Revolution **From specialized agents to universal platforms**: Instead of building separate coding agents, research agents, and analysis agents, the industry is converging on **general-purpose agents with skill libraries**. One agent. Unlimited specializations. Dynamic composition. > "We used to think agents in different domains will look very different. The agent underneath is actually more universal than we thought." > — *Barry Zhang, Anthropic Research* **The open standard advantage**: Major platforms (OpenAI, GitHub, Microsoft, Cursor) have adopted the Agent Skills specification, creating **network effects**: every skill you create works across the entire ecosystem. This is the npm moment for AI agents. ### 🏷️ Key Topics `agent-skills` · `ai-agents` · `llm` · `claude` · `anthropic` · `skill-md` · `progressive-disclosure` · `context-management` · `ai-development` · `mcp` · `agent-architecture` · `agentic-ai` · `automation` · `productivity` 👉 **New to Agent Skills?** Start here: [agentskills.io](https://agentskills.io) ## 📚 What's Inside? - [Start Here](#-start-here) - Introduction to the concepts - [Phase 1: Learn the Fundamentals](#-phase-1-learn-the-fundamentals) - Articles and videos to get started - [Phase 2: Use Existing Skills](#-phase-2-use-existing-skills) - Platforms and ready-to-use libraries - [Phase 3: Build & Integrate](#-phase-3-build--integrate) - Create your own skills and tools - [Phase 4: Master & Research](#-phase-4-master--research) - Advanced engineering and theory - [Frequently Asked Questions](#-frequently-asked-questions) - Common questions answered - [Community & Contributing](#-community--contributing) - Join the movement ## 🏁 Start Here **New to Agent Skills?** These resources will take you from zero to understanding the core concepts in minutes. ### 🎓 Getting Started - [What are skills?](https://agentskills.io/what-are-skills) - Perfect introduction for beginners - [Using skills in Claude](https://support.claude.com/en/articles/12512180-using-skills-in-claude) - Quick start guide - [Agent Skills Review](https://www.youtube.com/watch?v=tGpeWM7gOlA) - 25-second feature highlight ## 🎓 Phase 1: Learn the Fundamentals **Understand the "Why" and "How".** Before diving into code, grasp the architectural shift and best practices. ### 📰 Key Concepts & Articles - [Equipping agents for the real world with Agent Skills](https://anthropic.com/engineering/equipping-agents-for-the-real-world-with-agent-skills) - The original announcement from Anthropic Engineering - [Using skills with Deep Agents](https://blog.langchain.com/using-skills-with-deep-agents/) - How generalist agents use skills for efficiency - [Agent Skills Explained: Why This Changes Everything](https://www.youtube.com/watch?v=Ihoxov5x66k) - 17-minute analysis of why Skills matter for AI development - [Claude Skills vs MCP: Complete Guide](https://dev.to/jimquote/claude-skills-vs-mcp-complete-guide-to-token-efficient-ai-agent-architecture-4mkf) - Comparison of Skills and Model Context Protocol architectures - [The Great AI Agent Configuration Confusion](https://medium.com/@satinath.mondal/the-great-ai-agent-configuration-confusion-agents-md-skill-md-and-whats-next-12345) - Understanding configuration standards (SKILL.md, AGENTS.md) ### 🎬 Video Introductions - [A better way to build agents? Claude Agent Skills Tutorial + Demo](https://www.youtube.com/watch?v=mxZqEduwyFk) - 11-minute intro: Is Agent Skills the next big standard after MCP? - [Claude's new 'Agent Skills'](https://www.youtube.com/watch?v=VRzkafNIdgI) - 1-minute quick overview - installable "mini-brains" - [Claude Code Skills just Built me an AI Agent Team (2026 Guide)](https://www.youtube.com/watch?v=OdtGN27LchE) - 27-minute beginner guide to building general AI agents ## 🛠️ Phase 2: Use Existing Skills **Experience the power.** Don't build from scratch—leverage the ecosystem of platforms and pre-built libraries. ### 🎨 Supported Platforms & IDEs **Where can you use Agent Skills today?** - [Cursor](https://cursor.com/) - AI-powered code editor with native skills integration ([docs](https://cursor.com/docs/context/skills)) - [Claude Code](https://claude.ai/code) - Anthropic's coding tool with first-class skills support ([docs](https://support.claude.com/en/articles/12512180-using-skills-in-claude)) - [GitHub Copilot](https://github.com/features/copilot) - GitHub's AI coding assistant with Agent Skills support ([docs](https://docs.github.com/copilot/concepts/agents/about-agent-skills)) - [VS Code](https://code.visualstudio.com/) - Microsoft's editor with Agent Skills in Insiders build ([docs](https://code.visualstudio.com/updates/v1_107#_reuse-your-claude-skills-experimental)) - [OpenAI Codex](https://developers.openai.com/codex/skills/) - OpenAI's CLI agent with Agent Skills support ([docs](https://developers.openai.com/codex/skills/)) - [OpenCode](https://opencode.ai/) - AI development tool with built-in Agent Skills support ([docs](https://opencode.ai/docs/skills/)) - [Amp](https://ampcode.com/) - Next-gen AI coding assistant ([docs](https://ampcode.com/manual#agent-skills)) - [Goose](https://block.github.io/goose/) - Open source AI agent framework ([docs](https://block.github.io/goose/extensions)) - [Letta](https://www.letta.com/) - Build stateful LLM agents with memory ([docs](https://docs.letta.com/letta-code)) ### 📦 Ready-to-Use Skill Libraries **Tap into battle-tested capabilities.** #### 🔥 Top Picks - Official collection from Anthropic (document editing, data analysis, etc.) - Official collection from OpenAI (Codex skills catalog) - Official collection from Hugging Face (compatible with Claude, Codex, Gemini) - 50+ verified skills for Claude Code and Claude.ai - Skills for specialized capabilities #### 📂 More Collections - Multi-agent collaboration skills - Pydantic AI integration - Skills for DSPy framework - Document editing, data analysis, and project management - Curated Claude Agent Skills collection - Freeact agent library skills ## 🏗️ Phase 3: Build & Integrate **Create your own.** Learn to author `SKILL.md` files and integrate them into your workflows. ### 📝 How to Build Skills - [How to create custom skills](https://support.claude.com/en/articles/12512198-creating-custom-skills) - Step-by-step authoring guide - [Skills API Quickstart](https://docs.claude.com/en/api/skills-guide#creating-a-skill) - Technical documentation - [How I Built Agent Skills for Claude Code](https://dev.to/nunc/how-i-built-agent-skills-for-claude-code-oj4) - 8-minute tutorial on building custom Agent Skills from scratch - [Claude Agent Skills Tutorial](https://www.youtube.com/watch?v=fOxC44g8vig) - Comprehensive implementation tutorial with SKILL.md format ### 🔧 Developer Tools **Frameworks and utilities for building and loading skills.** - [LangChain Multi-Agent Skills](https://docs.langchain.com/oss/python/langchain/multi-agent/skills) - Official documentation on implementing the skills pattern in LangChain - [SkillCheck](https://github.com/agentigy/skillcheck) - Security scanner for SKILL.md files - detect vulnerabilities before production - [OpenSkills](https://github.com/numman-ali/openskills) - Universal skills loader for any AI agent - [LangChain Deep Agents](https://github.com/langchain-ai/deepagents) - Open source agent harness with skills support - [IntentKit](https://github.com/crestalnetwork/intentkit) - Framework for intent-driven AI agents - [Agentica](https://github.com/wrtnlabs/agentica) - TypeScript AI function calling framework ### 💡 Reference Implementations (By Category) **Learn from examples.** #### Development & Programming - Swift Concurrency Migration guide - Obsidian.md plugin development - Stream Coding methodology #### Integration & Automation - Web browser capability for agents - Skills for any agent via CLI or MCP - Google Sheets CLI automation - Spotify API integration ## 🔬 Phase 4: Master & Research **Deepen your expertise.** Explore advanced architectures, security implications, and academic research. ### 🧠 Advanced Engineering - [Claude Agent Skills: A First Principles Deep Dive](https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive/) - Comprehensive analysis of the internal architecture - [I finally CRACKED Claude Agent Skills](https://www.youtube.com/watch?v=kFpLzCVLA20) - Engineering breakdown: Skills vs MCP vs Subagents - [Claude Agent Skills](https://www.youtube.com/watch?v=9XaprFRNTlc) - 1-hour deep dive into domain-specific AI expertise - Context engineering techniques - System Skill Pattern (skills that remember & improve) - Mind cloning with LLM skills ### 🛡️ Research & Security - [Agent Skills Enable a New Class of Realistic and Trivially Simple Prompt Injections](https://arxiv.org/abs/2510.26328) (2025) - Security analysis showing vulnerabilities in Agent Skills markdown files - [A survey of agent interoperability protocols](https://arxiv.org/abs/2505.02279) (2025) - Comprehensive look at MCP, Agent Cards, and more - [Reinforcement Learning for Self-Improving Agent with Skill Library](https://arxiv.org/abs/2512.17102) (2024) - Framework for agents to build and maintain skill libraries - [PolySkill: Learning Generalizable Skills Through Polymorphic Abstraction](https://arxiv.org/abs/2510.15863) (2024) - Learning generalizable skills through polymorphic abstraction ## ❓ Frequently Asked Questions ### What are Agent Skills? Agent Skills are modular, standardized `SKILL.md` packages that provide AI agents with on-demand capabilities. Instead of fine-tuning models or bloating context windows, skills enable **progressive disclosure**: lightweight metadata loads at startup (~50 tokens), full instructions activate when needed (~2-5K tokens), and resources load dynamically during execution. ### How do Agent Skills differ from fine-tuning? Fine-tuning modifies model weights permanently (expensive, inflexible), while Agent Skills provide **runtime knowledge injection** that's instantly updatable, shareable across platforms, and requires zero retraining. Update a skill once, and every agent using it benefits immediately. ### What's the difference between Agent Skills and MCP (Model Context Protocol)? **Agent Skills** focus on **capabilities and workflows** (how to do X), while **MCP** focuses on **data access** (connecting to APIs, databases). They're complementary: use MCP to connect to external data sources, use Skills to teach agents how to process that data. Many developers use both together. ### How do I create my first Agent Skill? 1. Create a `SKILL.md` file with YAML frontmatter (name, description) 2. Write clear instructions in markdown (what, when, how) 3. Add optional `scripts/` folder for code references 4. Place in `.github/skills/` or `.claude/skills/` directory 5. Test with compatible platforms (Claude Code, Cursor, GitHub Copilot) 👉 Full guide: [How to create custom skills](https://support.claude.com/en/articles/12512198-creating-custom-skills) ### Which AI platforms support Agent Skills? Major platforms with native support include: **Claude** (Claude.ai, Claude Code), **OpenAI** (Codex CLI), **GitHub Copilot**, **Cursor**, **VS Code Insiders**, **OpenCode**, **Amp**, **Letta**, and **Goose**. The ecosystem is rapidly expanding as more platforms adopt the open standard. ### Can I use Agent Skills with ChatGPT or other LLMs? While ChatGPT doesn't natively support the Agent Skills format, you can use universal loaders like [openskills](https://github.com/numman-ali/openskills) to integrate skills with any LLM platform. The skills specification is open and platform-agnostic by design. ### Are Agent Skills secure? Agent Skills introduce new security considerations. Since skills can execute code and access files, always **review skills before installation** from untrusted sources. Use tools like [skillcheck](https://github.com/agentigy/skillcheck) to scan for vulnerabilities. Research shows potential for prompt injection attacks ([arxiv.org/abs/2510.26328](https://arxiv.org/abs/2510.26328)), so treat skills like code packages—audit before trusting. ### How do I share Agent Skills with my team? **Option 1**: Commit to your repository's `.github/skills/` or `.claude/skills/` directory—agents automatically discover them. **Option 2**: Publish to GitHub as a standalone repo (e.g., `my-org/data-analysis-skill`)—others can reference or clone. **Option 3**: Use [skillport](https://github.com/gotalab/skillport) or [agent-skills-mcp](https://github.com/DiscreteTom/agent-skills-mcp) for cross-platform distribution. ### What makes a good Agent Skill? **Best practices:** - **Single responsibility** - One clear capability per skill - **Progressive detail** - Brief metadata, detailed instructions, extensive resources - **Context-aware** - Include when/why to use (not just how) - **Testable** - Provide example inputs/outputs - **Discoverable** - Descriptive names and rich descriptions ### When should I use Agent Skills vs custom tools/functions? Use **Agent Skills** when: - Capabilities need to work across multiple platforms - Instructions are complex multi-step workflows - You want version control and collaborative editing - Knowledge needs frequent updates Use **custom tools/functions** when: - Platform-specific integration required (e.g., API-specific features) - Real-time data access needed - Computational logic can't be expressed as instructions ### Can Agent Skills call other Agent Skills? Yes! Skills can reference other skills in their instructions, enabling **skill composition**. This allows building complex capabilities from simple, reusable building blocks. Some platforms also support **skill libraries** where skills automatically discover and leverage related capabilities. ### How do Agent Skills impact token usage? **Dramatically reduce it.** Traditional approaches load all documentation upfront (10K-100K tokens), while skills load only what's needed (50 tokens metadata + 2-5K when activated). For agents managing 50+ capabilities, this means **90%+ token reduction** during idle time. ### Are Agent Skills just for coding tasks? No—Agent Skills work for any domain: **data analysis**, **content creation**, **project management**, **research**, **security operations**, **automation**, and more. The format is domain-agnostic. Think of them as "packages for knowledge" rather than "packages for code." ### Where can I find production-ready Agent Skills? Start with: - [anthropics/skills](https://github.com/anthropics/skills) - Official Anthropic collection - [karanb192/awesome-claude-skills](https://github.com/karanb192/awesome-claude-skills) - 50+ verified skills - This repository's [Ready-to-Use Skills](#-ready-to-use-skills) section ### How often should I update my Agent Skills? Update skills whenever: - Platform APIs or tools change - Better approaches emerge - Team workflows evolve - User feedback reveals gaps **Pro tip**: Add version numbers and changelogs to your skills for better tracking. ## 💬 Join the Community **You're not alone in this.** Join thousands of developers pioneering the future of AI agents - share breakthroughs, debug challenges, and shape the standards. - 💭 [Agent Skills GitHub Discussions](https://github.com/agentskills/agentskills/discussions) - Official specification discussions - 🐛 [Anthropic Skills GitHub Issues](https://github.com/anthropics/skills/issues) - Report issues and request features - ⭐ **Star this repo** to stay updated with the latest resources! ## 🤝 Contributing **Shape the ecosystem.** This is a community-driven resource - your contributions help thousands of developers discover and build better agent systems. - Add new skills, tools, or articles - Improve documentation - Fix broken links - Suggest new sections Please read our [contribution guidelines](CONTRIBUTING.md) before submitting. ---
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