Explore AI Agent Skills & Claude Prompts
Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.
Enter through keywords, occupations, creators, and GitHub sources to see what kinds of skills are emerging across domains.
Use the same catalog through the API
Connect 381,784 public skills to your own search, analytics, or agent workflow with the REST API.
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openfacilitator
by rawgroundbeefx402 payment integration via OpenFacilitator SDK. Use when implementing crypto payments, paywalls, API monetization, or tipping/transfer flows. Triggers: "x402", "OpenFacilitator", "crypto payments", "USDC payments", "paywall", "payment middleware", "verify and settle", "402 Payment Required". Supports EVM (Base, Ethereum, Polygon, Arbitrum, Avalanche, Sei, IoTeX, Peaq, X Layer) and Solana and Stacks chains.
mureka-music
by rawgroundbeefGenerate professional AI music with vocals via the Mureka API. High-quality tracks in any genre with vocals, instrumentals, or stems. Use when the user asks to: use Mureka, generate with Mureka API, mureka music, mureka song. Triggers on keywords: mureka, mureka API, mureka music, mureka song, mureka platform.
replicate-music
by rawgroundbeefGenerate AI music with vocals via MiniMax Music-1.5 on Replicate. Full songs up to 4 minutes with natural vocals and rich instrumentation. ~$0.03/song, no minimum spend, pay-as-you-go. Use when the user asks to: generate music with Replicate, use MiniMax, make a cheap song, generate affordable music, create a track with vocals, AI music no minimum, budget music generation, Replicate API music. Triggers on keywords: replicate, minimax, music-1.5, cheap music, budget music, pay as you go, no minimum, replicate API.
elevenlabs-music
by rawgroundbeefGenerate AI music with vocals via the ElevenLabs Music API. Songs up to 10 minutes with AI vocals, composition plans, and streaming. Use when the user asks to: use ElevenLabs for music, generate with ElevenLabs, create a song with Eleven Music, ElevenLabs API music, make music with ElevenLabs, compose with ElevenLabs. Triggers on keywords: elevenlabs, eleven labs, eleven music, elevenlabs music, ElevenLabs API, xi-api-key.
x402check
by rawgroundbeefValidate and create x402 payment endpoint responses (HTTP 402 Payment Required). Use when the user asks to: (1) validate an x402 config or 402 response, (2) create/generate an x402 payment config, (3) build an HTTP 402 endpoint that returns payment requirements, (4) debug why an x402 config is invalid, (5) convert between x402 v1 and v2 formats, (6) check EVM/Solana addresses for x402, or (7) work with CAIP-2 network identifiers for payment configs. Triggers on keywords: x402, 402 payment, payment-required header, paywall config, CAIP-2 payment.
cli-music
by rawgroundbeefGenerate music tracks using CLI audio tools (ffmpeg + SoX). Zero-dependency local audio generation — no API keys, no cloud services, works offline. Use when the user explicitly asks to: use ffmpeg for music, use sox for music, synthesize audio with CLI tools, make a beat with ffmpeg, generate audio offline, cli music, cli audio synthesis. This skill produces lo-fi synthesized electronic music only — for professional quality tracks with vocals, use replicate-music, suno-music, or elevenlabs-music instead.
suno-music
by rawgroundbeefGenerate AI music with vocals via Suno (through MusicAPI.ai wrapper). Full songs in any genre with AI vocals, instrumentals, covers, and stems. Uses Suno's Sonic engine (V3.5 through V5). Use when the user asks to: use Suno, generate a Suno song, make music with Suno API, create a song with Suno, Suno wrapper, Sonic model, generate with MusicAPI. Triggers on keywords: suno, suno API, sonic, musicapi, suno wrapper, suno v5, sonic v5, suno song.
x402lint
by rawgroundbeefValidate and create x402 payment endpoint responses (HTTP 402 Payment Required). Use when the user asks to: (1) validate an x402 config or 402 response, (2) create/generate an x402 payment config, (3) build an HTTP 402 endpoint that returns payment requirements, (4) debug why an x402 config is invalid, (5) convert between x402 v1 and v2 formats, (6) check EVM/Solana addresses for x402, or (7) work with CAIP-2 network identifiers for payment configs. Triggers on keywords: x402, 402 payment, payment-required header, paywall config, CAIP-2 payment.
x402storage
by rawgroundbeefStore files permanently on IPFS via x402.storage. Save and retrieve files across Claude Code sessions.
x402-ecosystem
by rawgroundbeefx402 ecosystem directory skill. Use when the user asks about x402 SDKs, libraries, facilitators, services, infrastructure, tools, or learning resources. Provides a searchable index of all projects in the x402 payment protocol ecosystem.
Browse Agent Skills by Occupation
23 major groups · 867 SOC occupations
Browse by Category
Explore agent skills organized by their primary use case
Explore the agent skills ecosystem by occupation and creator
SkillMD is not just a keyword search box. It is an open map that organizes public skills by occupation, creator, and repository, helping you see which workflows, judgment criteria, and domain habits people are writing for AI agents.
Then follow creators and GitHub repositories back to the source: compare the skills a team maintains, whether the repo is active, and how the README frames the work before you open, install, or reuse anything.
Use it three ways: learn an unfamiliar field by occupation, study how creators organize skills, then use source context to decide what is worth opening or reusing.
01 Map a field
Browse 23 occupation groups and 867 SOC roles to learn what skills exist in adjacent domains and how they break down real work.
02 Follow creators
Use creator and repository pages to inspect maintained skill collections, recent updates, and source context before trusting a result.
03 Search with sources
Search 1.7M+ collected skills, then use occupation tags, creators, and GitHub source context to decide what is worth opening.
Start with the occupation map, then follow creators and repositories back to real code. SkillMD helps explain why a skill is worth opening, not only what it is named.
Standardizing Agent Capabilities with SKILL.md and Model Context Protocol (MCP)
In the rapidly evolving landscape of artificial intelligence, LLM agents (Large Language Model agents) have transitioned from simple text predictors to autonomous problem solvers. To orchestrate complex, multi-step agentic workflows, developers require a standardized format to specify agent capabilities, prompt instructions, system rules, and database bindings. This is where SKILL.md and the Model Context Protocol (MCP) have emerged as standard developer paradigms. SkillMD serves as the central directory for indexing, exploring, and sharing these critical agent configurations.
Our open-source registry currently tracks over 1.7 million collected SKILL.md configurations and system prompts. By compiling agent configurations from active developers on GitHub, we bridge the gap between prompt engineering research and production execution. Whether you are building agents with Anthropic's Claude Code, OpenAI's GPT-4, Google's Gemini, or local models using Ollama and LlamaIndex, standardized skill definitions ensure your agents behave predictably across different runtime environments.
What is the Model Context Protocol (MCP)?
The Model Context Protocol (MCP) is an open-source standard designed to connect LLMs to data sources, developer tools, and external environments. MCP establishes a bidirectional communication channel between client applications (like Cursor, Claude Desktop, or custom agent systems) and servers hosting data or capabilities. Standardizing instructions via SKILL.md enables LLMs to query databases, read local files, execute terminal commands, and integrate third-party APIs. SkillMD allows you to find ready-to-run MCP servers and prompt instructions for various occupations and technical tasks.
The Structure of a Professional SKILL.md File
A valid SKILL.md configuration is designed to be easily read by humans and parsed by LLMs. It contains precise system instructions, trigger conditions, required parameters, and execution examples. Below is the typical architectural blueprint of a professional agent skill:
- Metadata & Core Scope: Declares the name of the skill, author details, target models, and a description of the capability.
- Triggers & Intent Detection: Details semantic triggers that help the agent decide when to invoke this skill.
- System Prompts: Explicit system-level instructions that direct the agent's behavior, personality, safety guardrails, and formatting preferences.
- Capabilities & Tools: Lists the files, databases, or APIs the agent must access to complete the tasks.
- Few-Shot Examples: Demonstrates real inputs and outputs, helping the model generalize behavior through in-context learning.
Optimizing Agent Workflows for Modern LLMs
Writing effective agent skills requires deep knowledge of prompt engineering. With the release of advanced reasoning models like Claude 3.5 Sonnet, ChatGPT o1, and DeepSeek-V3, prompt templates must focus on structured thinking. Developers are encouraged to use XML tags (e.g., <thought>, <context>, and <rules>) to isolate execution boundaries. Standardized prompts prevent agents from suffering from context drift, ensuring that long-running tasks remain aligned with the initial system parameters.
Exploring by SOC Occupations and Creator Profiles
What makes SkillMD unique is its taxonomy. Instead of simple text search, we parse and organize files according to the Standard Occupational Classification (SOC) system. This means you can discover skills written for Computer and Mathematical roles, Business and Financial operations, Legal, Design, and and Educational Instruction fields. By tracking creator profiles, developers can study how different teams organize their custom instructions, compare version updates, and fork public configs for specialized enterprise use cases.
SkillMD operates as a high-performance index running on a fast Go backend and a highly responsive Astro SSR frontend. All search queries execute in milliseconds, featuring smart debouncing to prevent multiple API requests while keeping user data secure. Join our community of developers to standardize your AI agent instructions and optimize your LLM prompting workflows today.
Frequently Asked Questions
A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.