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...
x-research
by artwist-polyakovX/Twitter research via xAI Grok API with x_search tool. Digests, thread analysis, trending topics, custom search. Designed for finding Telegram post ideas from X discussions. Triggers: x research, twitter research, x digest, twitter digest, что в твиттере, дайджест твиттера, тренды x, trending x, analyze tweet, анализ твита, x search, поиск в твиттере.
yandex-wordstat
by artwist-polyakovАнализ поискового спроса через Yandex Wordstat API. Используй когда нужно: исследовать спрос, семантическое ядро, частотность запросов, сезонность или региональный спрос. Топ до 2000 запросов, ассоциации, динамика, экспорт CSV. Поиск упущенного спроса: анализ XLSX-выгрузки из Яндекс Директ, сегментация фраз, расширение семантики, сравнение OR-запросов. Triggers: упущенный спрос.
yandex-search-api
by artwist-polyakovПарсинг выдачи Яндекса через Yandex Cloud Search API v2. Синхронный и асинхронный режимы. Кэширование результатов. Triggers: yandex search api, поиск в яндексе, выдача яндекса, serp яндекс, парсинг выдачи.
yandex-metrika
by artwist-polyakovАналитика Yandex Metrika: трафик, конверсии, UTM, поисковые системы. Cache-first подход для гигиены контекстного окна. Triggers: яндекс метрика, yandex metrika, metrika analytics, метрика трафик, метрика конверсии, метрика отчёт.
yandex-webmaster
by artwist-polyakovУправление сайтами через Yandex Webmaster API: индексация, поисковые запросы, сайтмапы, переобход, ссылки, фиды, диагностика. Плюс scraping раздела Alice / Share of Voice (нет публичного API). Triggers: яндекс вебмастер, yandex webmaster, webmaster api, вебмастер индексация, вебмастер запросы, вебмастер переобход, share of voice, sov, алиса, alice efficiency, конкуренты в алисе.
fal-ai-image
by artwist-polyakovGenerate/edit images via fal.ai. Supports Google Nano Banana Pro and OpenAI GPT Image 2 selected from config/.env. Supports reference images and strong text rendering. ALWAYS read SKILL.md before first use.
docx-contracts
by artwist-polyakovFill Word document templates (contracts, forms) with structured data using docxtpl. Use when user uploads a .docx template with {{variables}} and provides data to fill it, or requests contract/form generation from template.
ssh-remote-connection
by artwist-polyakovSSH connection to remote servers. Use when you need to execute commands on a remote server, check logs, restart services, or manage Docker containers.
agent-deck
by artwist-polyakovУправление сессиями AI агентов через agent-deck CLI. Триггеры (RU): "запусти агента", "запусти саб-агента", "создай сессию", "проверь сессию", "проверь статус", "покажи вывод агента", "что агент ответил". Triggers (EN): "launch sub-agent", "create sub-agent", "start session", "check session", "show agent output".
codex-review
by artwist-polyakovWorkflow кросс-агентного ревью с Codex. Triggers (RU): "кодекс ревью". Triggers (EN): "with codex review", "codex review workflow", "start codex review". ВАЖНО: при срабатывании триггера прочитай SKILL.md до любых других шагов.
crawl4ai-seo
by artwist-polyakovSEO-краулер сайтов на базе Crawl4AI. Полный аудит страниц: title, meta, H1, canonical, breadcrumbs, навигация, внутренние ссылки. Инвентаризация сайта, навигационный аудит, сравнение лендингов, анализ конкурентов. Работает для Google и Яндекс SEO (Cyrillic URL, коммерческие факторы, региональность). Связка с yandex-search-api, yandex-metrika, yandex-webmaster, scrapedo-web-scraper. Triggers: crawl4ai, seo crawl, site audit, page inventory, site inventory, on-page audit, internal links, internal linking audit, navigation audit, landing comparison, competitor analysis, competitor pages, orphan pages, technical seo, аудит сайта, краулер, перелинковка, навигационный аудит.
genome-analyzer
by artwist-polyakovАнализирует генетические данные пользователя из VCF файла. Используй когда пользователь спрашивает о своей генетике, наследственных признаках, предрасположенностях, метаболизме веществ (кофеин, алкоголь, лекарства), спортивных способностях, рисках заболеваний, питании на основе генов.
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.