381,784 Collected SKILL.md files

Explore AI Agent Skills & Claude Prompts

Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.

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6551Team
Showing 12 of 12 skills
6551Team

opennews

by 6551Team
star 1.6k

Real-time crypto, equities, macro, and financial market news aggregator — 84+ data sources across 6 categories covering digital assets, U.S. stocks, semiconductors, AI infrastructure, supply chains, commodities, rates, policy, and market-moving social/news signals. Sources include Bloomberg, Reuters, FT, CNBC, CoinDesk, Twitter/X, Binance, Coinbase, OKX, whale/KOL trades, price/funding/liquidation alerts, and 12 AI prediction signals. AI-analyzed with impact score, trading signals, and bilingual summaries. **Free tools available without token**.

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schedule Updated 12 days ago
6551Team

opentwitter

by 6551Team
star 1.2k

Twitter/X data via the 6551 API. Supports user profiles, tweet search, user tweets, follower events, deleted tweets, and KOL followers.

navigation main article SKILL.md
schedule Updated 2 months ago
6551Team

daily-news

by 6551Team
star 312

Daily news and hot topics via the 6551 API. Supports news categories, hot news articles, and trending tweets by category.

navigation main article SKILL.md
schedule Updated 3 months ago
6551Team

opentwitter

by 6551Team
star 20

Twitter/X data via the 6551 API. Supports user profiles, tweet search, user tweets, follower events, deleted tweets, and KOL followers.

navigation main article SKILL.md
schedule Updated 3 months ago
6551Team

opennews

by 6551Team
star 20

Real-time crypto & financial news aggregator — 72+ data sources across 5 categories (News: Bloomberg, Reuters, FT, CNBC, CoinDesk, Twitter/X + 47 more; Listing: Binance, Coinbase, OKX + 6 more; OnChain: whale & KOL trades; Meme: social sentiment; Market: price/funding/liquidation alerts). AI-analyzed with impact score, trading signals, and bilingual summaries.

navigation main article SKILL.md
schedule Updated 3 months ago
6551Team

opentrade-portfolio

by 6551Team
star 5

This skill should be used when the user asks to 'check my wallet balance', 'show my token holdings', 'how much OKB do I have', 'what tokens do I have', 'check my portfolio value', 'view my assets', 'how much is my portfolio worth', 'what\'s in my wallet', or mentions checking wallet balance, total assets, token holdings, portfolio value, remaining funds, DeFi positions, or multi-chain balance lookup. Supports XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon, and 20+ other chains. Do NOT use for general programming questions about balance variables or API documentation. Do NOT use when the user is asking how to build or integrate a balance feature into code.

navigation main article SKILL.md
schedule Updated 2 months ago
6551Team

opentrade-market

by 6551Team
star 5

Use this skill when users want live on-chain market data: token prices, price charts (K-line, OHLC), trade history, swap activity. Also, it covers on-chain signals — smart money, whale, and KOL wallet activity, large trades, and signal-supported chains. For meme tokens: scanning new launches, checking dev wallets, developer reputation, rug pull detection, rug pull history, tokens by same creator, detecting bundles or snipers, bonding curves %, flagging suspicious launches, and meme token safety checks. For token search, market cap, liquidity, trending tokens, or holder distribution, use opentrade-token instead.

navigation main article SKILL.md
schedule Updated 2 months ago
6551Team

opentrade-dex-swap

by 6551Team
star 5

This skill should be used when the user asks to 'swap tokens', 'trade OKB for USDC', 'buy tokens', 'sell tokens', 'exchange crypto', 'convert tokens', 'swap SOL for USDC', 'get a swap quote', 'execute a trade', 'find the best swap route', 'cheapest way to swap', 'optimal swap', 'compare swap rates', or mentions swapping, trading, buying, selling, or exchanging tokens on XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon, or any of 20+ supported chains. Aggregates liquidity from 500+ DEX sources for optimal routing and price. Supports slippage control, price impact protection, and cross-DEX route optimization. Do NOT use for general programming questions about swap code, or for analytical questions about historical swap volume.

navigation main article SKILL.md
schedule Updated 2 months ago
6551Team

opentrade-gateway

by 6551Team
star 5

This skill should be used when the user asks to 'broadcast transaction', 'send tx', 'estimate gas', 'simulate transaction', 'check tx status', 'track my transaction', 'get gas price', 'gas limit', 'broadcast signed tx', or mentions broadcasting transactions, sending transactions on-chain, gas estimation, transaction simulation, tracking broadcast orders, or checking transaction status. Covers gas price, gas limit estimation, transaction simulation, transaction broadcasting, and order tracking across XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon, and 20+ other chains. Do NOT use for swap quote or execution — use opentrade-dex-swap instead. Do NOT use for general programming questions about transaction handling.

navigation main article SKILL.md
schedule Updated 2 months ago
6551Team

opentrade-token

by 6551Team
star 5

This skill should be used when the user asks to 'find a token', 'search for a token', 'look up PEPE', 'what's trending', 'top tokens', 'trending tokens on Solana', 'token rankings', 'who holds this token', 'holder distribution', 'token market cap', 'token liquidity', 'research a token', 'tell me about this token', 'token info', or mentions searching for tokens by name or address, discovering trending tokens, viewing token rankings, checking holder distribution, or analyzing token market cap and liquidity. Covers token search, metadata, market cap, liquidity, volume, trending token rankings, and holder analysis across XLayer, Solana, Ethereum, Base, BSC, Arbitrum, Polygon, and 20+ other chains. Do NOT use when the user says only a single generic word like 'tokens' or 'crypto' without specifying a token name, action, or question. For simple current price checks, price charts, candlestick data, or trade history, use opentrade-market instead. For meme token safety analysis, developer reputation, rug pull checks,

navigation main article SKILL.md
schedule Updated 2 months ago
6551Team

opentrade-wallet

by 6551Team
star 5

This skill should be used when the user asks to 'create a custodial wallet', 'create a managed wallet', 'get my wallet address', 'show my custodial account', 'custodial swap', 'swap with managed wallet', 'withdraw from custodial wallet', 'withdraw BNB', 'withdraw SOL', 'send native tokens from custodial wallet', or mentions creating, managing, swapping, or withdrawing with a custodial (managed/hosted) wallet. Only supports BSC and Solana networks. Do NOT use for non-custodial wallet operations, general balance queries (use opentrade-portfolio), or swap quotes without custodial execution (use opentrade-dex-swap).

navigation main article SKILL.md
schedule Updated 2 months ago
6551Team

opentrade-cex

by 6551Team
star 5

This skill should be used when the user asks to 'place a CEX order', 'trade on centralized exchange', 'buy BTC on CEX', 'sell ETH futures', 'open a long position', 'open a short position', 'close my position', 'set leverage', 'check my CEX balance', 'show my open orders', 'cancel my order', 'check CEX ticker', 'get K-line data', 'set margin mode', 'check my CEX positions', 'view trade history', 'check funding rate', 'get order book', 'check open interest', 'compare funding rates', or mentions CEX trading, futures, contracts, leverage, margin, limit orders, market orders, stop-loss, take-profit, funding rate, order book, open interest. This is for centralized exchange operations only. Do NOT use for DEX swaps (use opentrade-dex-swap), on-chain balances (use opentrade-portfolio), on-chain market data (use opentrade-market), token search (use opentrade-token), custodial wallet (use opentrade-wallet), or transaction broadcasting (use opentrade-gateway).

navigation main article SKILL.md
schedule Updated 1 month ago
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Browse Agent Skills by Occupation

23 major groups · 867 SOC occupations

Browse by Category

Explore agent skills organized by their primary use case

SKILLMD / CREATORS AND OCCUPATION CATEGORIES

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.

SEO KNOWLEDGE HUB & TECHNICAL OVERVIEW

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.

8 QUESTIONS

Frequently Asked Questions

A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.