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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gate-exchange-smallbalance
by gateGate Exchange small balance (dust) conversion to GT via wallet APIs. Use this skill whenever the user wants to list eligible dust balances, convert small balances to GT, or view small-balance conversion history. Trigger phrases include "small balance", "dust", "convert to GT", "clean up dust", "convert all small coins", "small balance history", or any request involving consolidating low-value spot holdings into GT.
gate-exchange-candydrop
by gateGate CandyDrop activity operations guide. Use this skill whenever users want to browse CandyDrop activities, view activity rules, register for activities, check task completion progress, or query participation and airdrop records. Trigger phrases include: candydrop, candydrop activities, activity list, register for candydrop, task progress, participation records, airdrop records.
gate-exchange-unified
by gateGate unified account operations skill. Use when the user asks about unified account equity, margin borrowing, or leverage modes. Triggers on 'unified account', 'borrow limit', 'repay loan', 'switch margin mode'.
gate-pay-x402
by gateHelps with Gate Pay x402 payments (HTTP 402), finding payable merchants when discovery is available, and wallet setup: Quick Wallet, Gate plugin token, local EVM key, or Gate Exchange. Use when the user pays or wants to pay with x402 or 402, configures a Gate or MCP wallet or payment default, lists merchants or paid services, orders something without a merchant link, or says 快捷钱包, 插件钱包, 私钥, 支付方式, 有哪些商户, 能付费的服务列表, 配置钱包, gate钱包, MCP钱包, 交易所, 下单, 支付, or PAYMENT_METHOD_PRIORITY. Do NOT use for trading-only or market chat with no Gate Pay x402 or wallet intent, or for completing the same Gate Pay order on another vendor's x402 MCP.
gate-info-macroimpact
by gateMacro-driven crypto via Gate-Info and Gate-News MCP. Use this skill whenever macro (CPI, NFP, Fed, rates, payrolls) ties to crypto, calendar, or indicator-price links. Trigger phrases include CPI and BTC, macro today, Fed, NFP, rates. Route: price/technicals → gate-info-coinanalysis or gate-info-trendanalysis; headlines → gate-news-briefing; attribution → gate-news-eventexplain. Tools: info_macro_* (calendar, indicator, summary), news_feed_search_news, info_marketsnapshot_get_market_snapshot.
gate-exchange-activitycenter
by gateGate platform activity and campaign hub skill. Use when the user asks about trading competitions, airdrops, or their enrolled activities. Triggers on 'recommend activities', 'trading competition', 'my activities', 'airdrop campaign'.
gate-exchange-affiliate
by gateGate partner affiliate data and application skill. Use when the user asks about partner commissions, referral volume, or applying for the affiliate program. Triggers on 'my affiliate data', 'partner earnings', 'apply for affiliate', 'commission'.
gate-exchange-coupon
by gateGate coupon and voucher query skill. Use when the user asks about coupon balance, rules, expiry, or source. Triggers on 'my coupons', 'coupon details', 'voucher rules', 'coupon expires'.
gate-exchange-referral
by gateGate invite-friends and referral campaign skill. Use when the user asks about invitation rewards, referral links, or earn-together rules. Triggers on 'invite friends', 'referral reward', 'referral link', 'earn together'.
gate-exchange-welfare
by gateGate Exchange welfare center phase-2 skill with MCP integration. Use this skill whenever the user asks about welfare benefits, newcomer rewards, available newcomer tasks, claiming a task, completing a welfare task, or claiming newcomer rewards. Trigger phrases include "welfare center", "new user tasks", "claim task", "claim download task", "complete KYC task", "complete first deposit task", "complete first trade task", "claim reward", and "claim all rewards". Use only real MCP data and current business codes; never fabricate task or reward details.
gate-info-liveroomlocation
by gateGate live stream and replay listing skill. Use when the user asks to find live rooms or replays by tag, coin, or sort. Triggers on 'live room list', '最热直播', 'replay list', 'SOL live stream'.
gate-dex-market
by gateOn-chain DEX market data queries via Gate: token prices/价格, K-line/OHLC candlestick charts, token rankings, security risk audits, new token discovery, holder analysis, and trading volume stats. Read-only — no transactions. Use when the user asks for 'token price', 'price of ETH', 'check SOL price', '查价格', 'K线', 'candlestick', 'OHLC', 'top gainers', 'trending tokens', 'is this token safe', 'honeypot check', 'new tokens', 'trading volume', or 'liquidity events'. Do NOT use for swap/trade execution (use gate-dex-trade) or wallet balance/account queries (use gate-dex-wallet).
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.