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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dexhunter-swap
by Flux-Point-StudiosUse this skill when the user wants the best swap rate across all Cardano DEXes, or wants to use DexHunter aggregator. Triggers on: "best price for", "swap aggregator", "dexhunter swap", "route across DEXes", "best rate", "compare DEX prices", "smart order routing". Aggregates Minswap, WingRiders, SundaeSwap, SaturnSwap, and more. Use dexhunter-swap-operator to execute.
cardexscan-swap
by Flux-Point-StudiosUse this skill when the user wants to swap via CardexScan/Hydra aggregator, get trending tokens, or compare swap rates. Triggers on: "CardexScan swap", "Hydra aggregator", "trending tokens", "best swap rate", "compare aggregators", "token trades". Alternative to DexHunter with different routing.
dexhunter-swap-operator
by Flux-Point-StudiosOPERATOR SKILL — requires manual confirmation for every action. Use this skill to sign and submit DexHunter swap transactions. Triggers after dexhunter-swap has built an unsigned transaction.
fluid-lending
by Flux-Point-StudiosUse this skill when the user wants to borrow or create lending pools on FluidTokens. Triggers on: "FluidTokens", "borrow against NFT", "create lending pool", "borrow ADA", "borrow USDM", "collateral lending", "peer-to-pool lending". Supports ADA, FLDT, Snek, USDM, USDA, STRIKE, WMTX, HOSKY, wUSDC, wBTC, cAP3X.
defi-lending-operator
by Flux-Point-StudiosOPERATOR SKILL — requires manual confirmation. Sign and submit lending/borrowing transactions from Surf Finance or FluidTokens.
saturnswap-market-swap-operator
by Flux-Point-StudiosOPERATOR SKILL — requires manual confirmation for every action. Use this skill to sign and submit market swap transactions on SaturnSwap. Triggers after saturnswap-market-swap has created an unsigned transaction. "sign swap", "submit swap transaction", "execute the swap", "confirm swap".
strike-perpetuals-operator
by Flux-Point-StudiosOPERATOR SKILL — requires manual confirmation. Execute Strike Finance v2 perpetual trades (orders, leverage changes, cancellations). Strike v2 uses Ed25519 signed API requests — no CBOR signing needed. Auth is handled by the client via STRIKE_API_PUBLIC_KEY/PRIVATE_KEY.
strike-perpetuals
by Flux-Point-StudiosUse this skill when the user wants to trade perpetuals or leveraged positions on Cardano via Strike Finance. Triggers on: "open a long", "short ADA", "leverage trade", "perpetuals", "Strike Finance", "open position", "close position", "stop loss", "take profit", "leveraged", "perps". Strike v2 API uses Ed25519 signature auth — requires API wallet setup. Use strike-perpetuals-operator to execute trades.
saturnswap-cross-chain
by Flux-Point-StudiosUse this skill when the user wants to swap tokens across different blockchains via SaturnSwap's Cosmic Router (UEX). Triggers on: "swap ADA for ETH", "cross-chain swap", "bridge ADA to Ethereum", "convert ADA to BTC", "send SOL from Cardano", "swap to Solana", "bridge tokens", "what chains does SaturnSwap support", "cross-chain quote". Supports 119 chains: Cardano, Ethereum, Bitcoin, Solana, BSC, Polygon, Arbitrum, Base, Optimism, and 110+ more.
defi-portfolio
by Flux-Point-StudiosUse this skill for a unified view of a wallet's DeFi positions across all Cardano protocols. Triggers on: "show all my positions", "DeFi portfolio", "what do I have open", "total exposure", "all my DeFi", "positions across protocols", "unified portfolio view".
saturnswap-portfolio
by Flux-Point-StudiosUse this skill when the user wants to view their SaturnSwap positions, open orders, or liquidity holdings. Triggers on: "my orders", "my positions", "show my liquidity", "open orders", "pending orders", "portfolio", "what do I have on SaturnSwap", "check my wallet on Saturn".
bodega-markets-operator
by Flux-Point-StudiosOPERATOR SKILL — requires manual confirmation. Sign and submit Bodega prediction market transactions (buy, sell, cancel, claim).
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.