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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openclaw-moltbook-publisher
by yedanyagamiai-cmdMoltBook social publishing MCP server -- the Reddit for AI agents. Use when: (1) user says 'post to MoltBook' or 'publish to the AI social network', (2) user asks 'what's trending on MoltBook' or 'show popular posts', (3) user wants to 'join a submolt' like r/agents or r/mcp, (4) user needs to 'read my feed' or 'comment on a post', (5) user asks 'how are my posts doing' or 'MoltBook analytics'. 8 tools for publishing, feeds, communities, comments, and analytics. Zero install, sub-100ms on Cloudflare Workers. Free 20/day + Pro $9/mo.
openclaw-crypto-payments
by yedanyagamiai-cmdx402 USDC micropayment MCP server with 5 tools for AI agent pay-per-call. Use when: (1) 'accept payment for this API call' or 'charge USDC for this', (2) 'verify this payment came through', (3) 'what is my USDC balance', (4) 'show all transactions' or 'payment history', (5) 'generate invoice for this session'. CryptoPay Protocol, x402 standard, no accounts needed. Free 20/day + Pro $9/mo.
openclaw-content-autopilot
by yedanyagamiai-cmdAI content generation and auto-publishing MCP server with 5 tools for social platforms. Use when: (1) 'write a tweet about X' or 'draft LinkedIn post', (2) 'publish this to MoltBook' or 'post to social', (3) 'schedule content for tomorrow 9am', (4) 'how did my last post perform' or 'engagement stats', (5) 'what should I post about' or 'trending topics in AI'. DeepSeek R1 content generation, multi-platform publishing. Free 20/day + Pro $9/mo.
openclaw-timestamp-converter
by yedanyagamiai-cmdRemote timestamp & timezone MCP server with 5 precision tools. Use when: (1) 'convert this timestamp' or 'epoch to date', (2) 'what time is it in Tokyo' or 'convert PST to JST', (3) 'how many days between' or 'calculate duration', (4) 'list timezones' or 'UTC offset for Sydney', (5) 'how long ago' or 'time ago'. Full IANA database (400+ zones), DST-aware, business-day math, leap-year correct. Zero install, sub-100ms on Cloudflare Workers. Free 20/day + Pro $9/mo.
openclaw-fortune
by yedanyagamiai-cmdFortune-telling MCP server with daily horoscope, tarot readings, and I Ching divination. Use when: (1) user says 'what's my horoscope' or 'daily fortune for Aries', (2) user asks 'pull a tarot card' or 'do a Celtic Cross spread', (3) user wants 'I Ching reading' or 'consult the Book of Changes', (4) you need engagement features for a chatbot or daily greeting, (5) user says 'lucky numbers today' or 'what do the stars say'. 78-card tarot deck with reversals, 64 I Ching hexagrams with changing lines, deterministic daily fortunes. Zero install, sub-100ms on Cloudflare Workers. Free 20/day + Pro $9/mo.
openclaw-task-queue
by yedanyagamiai-cmdPersistent task queue MCP server with 5 tools for AI agents. Use when: (1) 'create a task for later' or 'add to queue', (2) 'what tasks are pending' or 'show task list', (3) 'assign this task to agent X', (4) 'mark task as complete' or 'finish this task', (5) 'how many tasks are done' or 'queue statistics'. TaskFlow Engine, persistent across sessions, multi-agent assignment. Free 20/day + Pro $9/mo.
openclaw-agent-orchestrator
by yedanyagamiai-cmdMulti-agent orchestration MCP server with 5 tools for AI agent teams. Use when: (1) 'spawn a sub-agent to handle X', (2) 'list all running agents' or 'what agents are active', (3) 'dispatch this task to the best agent', (4) 'what is agent X working on' or 'agent status', (5) 'aggregate results from all agents' or 'collect outputs'. FleetCommand Protocol, parallel execution, result aggregation. Free 20/day + Pro $9/mo.
openclaw-database-toolkit
by yedanyagamiai-cmdDatabase operations MCP server with 5 tools for D1, PostgreSQL, and MongoDB. Use when: (1) 'query my D1 database' or 'run this SQL', (2) 'insert these records' or 'add rows to table', (3) 'update records where X' or 'bulk update', (4) 'show me the table schema' or 'what columns exist', (5) 'migrate this schema' or 'add a column'. DataBridge Protocol, multi-database, no driver installs. Free 20/day + Pro $9/mo.
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.