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...
dflow-phantom-connect
by mashharukiBuild Solana wallet-connected apps with Phantom Connect SDKs and DFlow trading. Use when user asks to connect a Phantom wallet, integrate Phantom in React, React Native, or vanilla JS, sign messages or transactions, build token-gated pages, mint NFTs, accept crypto payments, swap tokens with DFlow, trade prediction markets, or integrate Proof KYC verification. Covers @phantom/react-sdk, @phantom/react-native-sdk, @phantom/browser-sdk, DFlow spot trading, DFlow prediction markets, and DFlow Proof identity verification. Do NOT use for Ethereum or EVM wallet integrations, or non-DFlow DEX routing.
world-miniapp
by mashharukiWorld Chain MiniApp Kit / MiniKit SDKを使ったブロックチェーンアプリケーション開発を包括的に支援するスキル。 World App内で動作するMiniApp（ミニアプリ）の設計・実装・デプロイまでをカバー。 World ID（Proof of Personhood）によるユーザー認証、ウォレット認証（SIWE）、 WLD/USDCトークン決済、スマートコントラクト連携（sendTransaction）、 Permit2トークン転送、通知、連絡先共有、ハプティクスフィードバックなど、 MiniKit SDKの全コマンドに対応。Next.jsベースのフルスタック開発をサポート。 使用場面：(1) MiniAppの新規作成・セットアップ、(2) World ID検証の実装、 (3) WLD/USDC決済機能の組み込み、(4) スマートコントラクトとの連携、 (5) ウォレット認証（Wallet Auth / SIWE）実装、(6) World Chainハッカソン参加、 (7) MiniAppのテスト・デプロイ。World App、World Chain、Worldcoin、MiniKit、 minikit-js、World ID、Orb検証に関連する質問や開発作業すべてにこのスキルを使用すること。
lifi-dev
by mashharukiComprehensive development support for LI.FI DEX aggregator including SDK, Widget, and API integration for cross-chain swaps and bridging. Use when building applications with LI.FI for - (1) Cross-chain token swaps and bridges, (2) Multi-chain liquidity aggregation, (3) Trading widget integration, (4) Custom DEX aggregation UI, (5) Gas subsidy implementation, (6) Revenue monetization with integrator fees, (7) Route optimization across 60+ chains, (8) Intent-based trading systems. Covers SDK usage (TypeScript/JavaScript), Widget customization (React/Vue/Svelte), API integration (REST), and LI.FI-specific features like cross-chain routing, gas subsidies (LI.Fuel), and multi-protocol aggregation across Uniswap, 1inch, Stargate, Across, and 800+ protocols.
x402-dev
by mashharukiComprehensive development support for x402 protocol — the open HTTP payment standard built on HTTP 402. Covers client (buyer) integration, server (seller) middleware, MCP server monetization, and AWS CloudFront/Lambda@Edge deployments. USE THIS SKILL whenever the user: - Asks about x402, HTTP 402 payments, or machine-to-machine micropayments - Wants to add pay-per-request pricing to an API, endpoint, or HTTP resource - Integrates x402 with Express, Next.js, Hono, FastAPI, Flask, or any HTTP framework - Builds an AI agent that pays for tools/APIs automatically (agentic commerce) - Implements an MCP server with payment-gated tools - Deploys x402 on AWS CloudFront, Lambda@Edge, or AgentCore - Needs wallet setup, facilitator config, EVM/Solana network configuration, or USDC payments - Asks about Bazaar service discovery, x402 whitepaper concepts, or x402 architecture - Migrates from testnet (Base Sepolia) to mainnet (Base Mainnet / Solana Mainnet) Even if the user just says "add payments to my API", "charge per
depitch-pitch-builder
by mashharukiDePitch Academy pitch BUILDER for Solana startups, DePitch is the #1 pitch academy of Solana. Use this skill ONLY when a builder wants to BUILD a pitch from scratch, structure a pitch deck, write a pitch script, or prepare an outline for a Colosseum/hackathon/VC/ICO/BD/Demo Day pitch on Solana. Trigger on: "build a pitch", "create a deck", "pitch deck outline", "pitch script", "structure my pitch", "help me pitch", "I have an idea I want to pitch", "I have a Colosseum pitch coming up", "demo day pitch", "hackathon pitch", "fundraising pitch on Solana", "Solana pitch", "ICO pitch", "build my Solana startup pitch". Do NOT trigger on requests to roast, review, critique, score, judge, or pressure-test an existing pitch.
estimate-creator
by mashharuki御見積書を作成するスキル。クライアント名、件名、項目、単価(原価)、粗利率から見積書を生成します。日付、支払条件などの情報も扱います。
ens-dev
by mashharukiComprehensive development support for ENS (Ethereum Name Service) including name registration, resolution, subdomains, smart contracts, and multichain integration. Use when building applications with ENS for - (1) Domain name registration and management (.eth names), (2) Name resolution (ENS to address, address to ENS), (3) Subdomain creation and management, (4) Avatar and profile records, (5) Smart contract integration with ENS, (6) Multichain resolution (L2s, sidechains), (7) Name Wrapper and permission management (fuses), (8) DNS integration (traditional domains on ENS), (9) Reverse resolution (address to name). Covers library usage (viem, ethers, wagmi), smart contract development (Solidity), ENS protocol architecture (Registry, Resolver, Registrar), and ENS-specific features like wrapped names, CCIP Read, and programmable fuses.
devto-optimizer-skill
by mashharukiOptimize and convert Zenn Flavored Markdown (ZFM) articles to Dev.to (Forem) compatible Markdown. Use this skill whenever the user wants to post a Zenn article to Dev.to, needs to convert markdown for cross-posting, or asks to "optimize for dev.to". It handles front matter conversion, Liquid tag embeds, KaTeX math blocks, callout transformations, and general formatting adjustments required by Dev.to.
uniswap-dev
by mashharukiComprehensive development support for Uniswap Protocol (v2/v3/v4), SDK integration, Subgraph API, and smart contract development. Use when building DeFi applications with Uniswap including - (1) Token swaps and routing, (2) Liquidity provision and management, (3) Custom hooks and AMM logic (v4), (4) Subgraph data queries and analytics, (5) Contract integration and testing, (6) Version selection and migration, (7) Security best practices implementation. Covers SDK usage (TypeScript/JavaScript), smart contract development (Solidity), API integration (GraphQL), and protocol-specific features like concentrated liquidity (v3) and hooks (v4).
solana-dev
by mashharukiEnd-to-end Solana development playbook (Jan 2026). Prefer Solana Foundation framework-kit (@solana/client + @solana/react-hooks) for React/Next.js UI. Prefer @solana/kit for all new client/RPC/transaction code. When legacy dependencies require web3.js, isolate it behind @solana/web3-compat (or @solana/web3.js as a true legacy fallback). Covers wallet-standard-first connection (incl. ConnectorKit), Anchor/Pinocchio programs, Codama-based client generation, LiteSVM/Mollusk/Surfpool testing, and security checklists.
building-blocks
by mashharukiDeFi legos and protocol composability on Ethereum and L2s. Major protocols per chain — Aerodrome on Base, GMX/Pendle on Arbitrum, Velodrome on Optimism — plus mainnet primitives (Uniswap, Aave, Compound, Curve). How they work, how to build on them, and how to combine them. Use when building DeFi integrations, choosing protocols on a specific L2, designing yield strategies, or composing existing protocols into something new.
semaphore-protocol
by mashharukiComprehensive guide for integrating Semaphore V4 zero-knowledge protocol. Use when developing anonymous voting systems, privacy-preserving authentication, ZK proofs, smart contracts with group membership verification, or implementing Semaphore SDK features (Identity management, Group operations, Proof generation/verification). Also use when modifying, upgrading, or debugging existing Semaphore integrations.
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.