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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youmind-web-clipper
by YouMind-OpenLabSave any URL to your YouMind board with one command — instant web clipper for articles, videos, and documents. Works from terminal, CI/CD, and any agent platform. Use when user wants to "save link", "bookmark", "clip", "web clipper", "save URL", "save page", "保存链接", "收藏网页", "ブックマーク", "링크 저장".
youmind-slides-generator
by YouMind-OpenLabGenerate professional presentation slides from a topic or outline — complete decks you can view, edit, and download. Use when user wants to "create slides", "make presentation", "generate PPT", "PowerPoint", "slide deck", "做PPT", "生成幻灯片", "プレゼン作成", "슬라이드 만들기".
youmind
by YouMind-OpenLabUse this skill when the task is clearly connected to the user's YouMind workspace, YouMind APIs, or the youmind CLI. It helps agents search, inspect, and call YouMind OpenAPI endpoints to work with boards, groups, YouMind files, picks, chats, and YouMind skills.
youmind-image-generator
by YouMind-OpenLabGenerate AI images from text prompts — one API key for GPT Image, Gemini, Seedream, and 10+ models. No juggling subscriptions. Images saved to your YouMind knowledge board. Use when user wants to "generate image", "create image", "AI image", "text to image", "生成图片", "AI 生图", "画像生成", "GPT image", "Gemini image", "Seedream", "DALL-E", "Midjourney".
youmind-deep-research
by YouMind-OpenLabConduct deep research on any topic — get comprehensive reports with citations, key findings, and actionable insights in minutes. Use when user wants to "deep research", "research this", "investigate", "analysis report", "深度研究", "调研", "リサーチ", "심층 연구".
youmind-blog-cover
by YouMind-OpenLabGenerate blog cover images optimized for 16:9 headers — clean composition with text-friendly layouts, powered by multi-model AI. Use when user wants to "blog cover", "featured image", "article image", "cover image", "thumbnail", "文章配图", "封面图", "博客配图", "ブログカバー", "블로그 커버".
youmind-youtube-transcript
by YouMind-OpenLabExtract and summarize YouTube video transcripts via YouMind API — no yt-dlp, no proxy needed. Batch extract up to 5 videos at once with parallel processing. Saves videos to your YouMind board with timestamped transcripts in markdown. Automatically summarizes video content after extraction. Works from any IP (cloud, VPS, CI/CD, corporate networks). Use when user wants to "get YouTube transcript", "extract video subtitles", "transcribe YouTube video", "batch transcribe videos", "get video captions", "summarize YouTube video", "YouTube video summary", "summarize this video", "what does this video say", "YouTube 字幕", "YouTube 总结", "视频总结", "YouTube 文字起こし", "YouTube 자막", or "download YouTube transcript".
youmind-webpage-generator
by YouMind-OpenLabGenerate webpages from a description — landing pages, portfolios, event pages. View, edit, and share with one click via YouMind. Use when user wants to "create webpage", "make website", "generate page", "landing page", "创建网页", "生成页面", "ウェブページ作成", "웹페이지 만들기".
youmind-wechat-article
by YouMind-OpenLabWrite and publish WeChat Official Account articles end-to-end with AI, or take an existing draft straight into the skill's built-in formatting + direct-send capability. Supports full pipeline from topic, plus ready-article direct send when the article is already written. Use when user says "写公众号文章" / "微信推文" / "发布到草稿箱" / "微信排版" / "WeChat publish". Do NOT trigger for: generic blogs, newsletters, PPT, short-video scripts, non-WeChat SEO work.
youmind-x-article
by YouMind-OpenLabWrite and publish tweets to X (Twitter) with AI — topic research via YouMind knowledge base, 280-char optimized writing, numbered multi-tweet sequences, and one-click publishing through the X account already connected in YouMind. Use when user wants to "tweet", "post on X", "publish to Twitter", or "write a thread".
gpt-image-2-prompts-search
by YouMind-OpenLabRecommend suitable prompts from 1,000+ GPT Image 2 image generation prompts based on user needs. Optimized for GPT Image 2 (OpenAI), but prompts also work with Nano Banana Pro, Nano Banana 2, Seedream 5.0, Midjourney, DALL-E, Flux, Stable Diffusion, and any text-to-image AI model. Use this skill when users want to: - Generate images with AI (any model — GPT Image 2, GPT Image 1.5, Nano Banana Pro, Seedream, etc.) - Find proven AI image generation prompts and prompt templates - Get prompt recommendations for specific use cases (portraits, products, social media, posters, etc.) - Create illustrations for articles, videos, podcasts, or marketing content - Browse a curated prompt library with sample images - Translate and understand prompt techniques Also available: "ai-image-prompts" skill — a model-agnostic version of this library for universal image generation.
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.