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.
Querying local SQLite index...
google-maps-api-skill
by kbarbel640-delThis skill helps users automatically scrape business data from Google Maps using the BrowserAct Google Maps API. Agent should proactively trigger this skill for needs like: 1. Find restaurants in a specific city; 2. Extract contact info of dental clinics; 3. Research local competitors; 4. Collect addresses of coffee shops; 5. Generate lead lists for specific industries; 6. Monitor business ratings and reviews; 7. Get opening hours of local services; 8. Find specialized stores (e.g., Turkish-style restaurants); 9. Analyze business categories in a region; 10. Extract website links from local businesses; 11. Gather phone numbers for sales outreach; 12. Map out service providers in a specific country.
basecamp
by kbarbel640-delBasecamp API integration with managed OAuth. Manage projects, to-dos, messages, schedules, documents, and team collaboration. Use this skill when users want to create and manage projects, to-do lists, schedule events, or collaborate with teams in Basecamp. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key.
eyebot-liquidbot
by kbarbel640-delUltimate liquidity management system. Add/remove LP, create trading pairs, monitor impermanent loss, and auto-rebalance pools across major DEXs.
clawguard
by kbarbel640-delSecurity blacklist protecting AI agents from malicious skills, scams, and prompt injection. Use before executing external commands, visiting unknown URLs, or installing new skills. Triggers on "security check", "is this safe", "check this URL", or suspicious command patterns.
tron-x402-payment
by kbarbel640-delPay for x402-enabled Agent endpoints using TRC20 tokens (USDT/USDD) on TRON
garden-layout-planner
by kbarbel640-delGarden design and layout planning for gardeners. Plan your garden with companion planting, spacing, and sun requirements. Use when designing a new garden, planning crop rotation, or optimizing space. Security: file exports restricted to safe directories. Perfect for home gardeners, small farmers, and anyone maximizing their growing space.
youtube-watcher
by kbarbel640-delFetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
cirf
by kbarbel640-delInteractive crypto deep-research framework with agent-agent and human-agent collaboration for superior research outcomes
millionbit-mint
by kbarbel640-delMint an image as an NFT plot on the Million Bit Homepage, a permanent 1024x1024 pixel canvas on the Base blockchain. Use this skill when you want to advertise your project, display your image on-chain, or claim a piece of the Million Bit Homepage canvas. Handles image resizing, plot availability checking, price querying, pixel encoding, and transaction preparation. Requires an EVM wallet skill to submit the final transaction on Base chain.
gsd-claw
by kbarbel640-delSpec-driven development with built-in verification for substantial projects. Use when user wants to plan a project, scope a feature, build something with structure, or says "GSD mode", "let's plan", "scope out", "spec-driven". Workflow is Discuss → Plan → Execute → Verify. Based on glittercowboy's GSD system (MIT license). NOT for quick questions or simple tasks.
baidu-baike-data
by kbarbel640-delThe Baidu Baike Component is a knowledge service tool designed to query authoritative encyclopedia explanations for various nouns. Its core function is given a specific "noun" (object, person, location, concept, event, etc.) provided by the user, it returns a standardized, detailed entry explanation sourced from Baidu Baike.
apple-serial-lookup
by kbarbel640-delLook up Apple device information from a serial number. Supports iPhones, iPads, Macs (MacBook, iMac, Mac mini, Mac Pro, Mac Studio), Apple Watch, Apple TV, and iPods. Use when a user provides an Apple serial number and wants to identify the device, check specs, manufacturing date/location, warranty status, or get detailed model information.
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.