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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business-plan-generator
by wulaosijiGenerate a professional, VC-ready 10-page Business Plan (BP) pitch deck as a .pptx file. Designed for startup founders preparing investor pitches, fundraising roadshows, and venture capital presentations. Use when the user asks for: "帮我写商业计划书", "生成BP", "做融资PPT", "pitch deck", "投资人路演PPT", "创业计划书", "business plan ppt", "fundraising deck", "路演材料", "融资计划书". Supports Chinese and English, auto-adapts design to project context, outputs a real .pptx file via python-pptx. Pair with pitch-deck-to-html to convert the output into a web-viewable HTML presentation.
pitch-deck-creator
by wulaosijiGenerate a professional, VC-ready 10-page pitch deck as a .pptx file. Designed for startup founders preparing investor pitches, fundraising roadshows, and venture capital presentations. Use when the user asks for: "帮我写商业计划书", "生成BP", "做融资PPT", "pitch deck", "投资人路演PPT", "创业计划书", "business plan ppt", "fundraising deck", "路演材料", "融资计划书", "做PPT", "生成pitch deck". Supports Chinese and English, auto-adapts design to project context, outputs a real .pptx file via python-pptx. Part of UniqueClub founder toolkit. Learn more: https://uniqueclub.ai Pair with deck-web-converter to convert the output into a web-viewable HTML presentation.
amap-navigator
by wulaosijiChinese navigation and location service powered by Amap (Gaode Maps / 高德地图). Provides geocoding, routing, POI search, and distance calculations for addresses and coordinates within mainland China. Use when: "高德地图", "Amap导航", "中国地图", "Chinese navigation", "路线规划", "POI搜索", "geocoding China", "地址解析", "distance matrix", "location query". Cross-references: pitch-deck-creator, media_hub. Built by UniqueClub 🌐 https://uniqueclub.ai
zhuoran-selfie
by wulaosijiZhuoran AI selfie photo generation skill using WaveSpeed AI with reference image. Creates contextual self-portrait photos for office, cafe, gym, airport, and scenic locations. Supports one-step, two-step, and smart generation modes for optimal quality. Use when: 卓然自拍, AI照片生成, 角色照片, 场景自拍, 垫图生成, zhuoran selfie, AI photo generation, character photo, scene selfie, reference image, professional portrait Related: zhuoran-video-selfie, qizhuo-selfie, clawra-selfie Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
whisper-stt
by wulaosijiLocal speech-to-text transcription skill based on OpenAI Whisper. Completely free, no API key required, supports Chinese and multiple languages. Ideal for private, offline voice transcription with high accuracy. Use when: 语音转文字, 语音转录, 本地STT, 语音识别, 音频转文字, speech to text, voice transcription, local STT, speech recognition, audio transcription, whisper transcription Related: voice-clone Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
feishu-doc-orchestrator
by wulaosiji飞书文档创建主编排技能 - 将 Markdown 文件转换为飞书文档，编排多个子技能协作完成，使用文件传递数据以节省 Token。
feishu-block-adder
by wulaosiji块添加子技能 - 将解析后的块数据添加到飞书文档，分批处理，支持表格和普通块。
feishu-doc-verifier
by wulaosiji文档验证子技能 - 使用 Playwright 验证飞书文档是否创建成功。
feishu-block-adder
by wulaosiji块添加子技能 - 将解析后的块数据添加到飞书文档，分批处理，支持表格和普通块。
zhuoran-video-selfie
by wulaosijiZhuoran AI selfie video generation skill using WaveSpeed AI Seedance model. Creates "living" selfie videos with natural micro-movements like breathing and blinking. Supports office, cafe, westlake, and gym scenes with authentic selfie perspective. Use when: 卓然视频, AI视频生成, 动态自拍, 活人感视频, 视频自拍, zhuoran video, AI video generation, dynamic selfie, living video, video selfie, character video Related: zhuoran-selfie, clawra-video-selfie, video-generation Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
qizhuo-selfie
by wulaosijiQizhuo AI selfie photo generation skill using WaveSpeed AI with guardian spirit style. Creates contextual self-portrait photos with warm amber lighting and heart-flame symbol. Ideal for generating guardian-type character photos with protective personality. Use when: 奇卓自拍, 守护型照片, AI角色照片, 火焰符号照片, 温暖风格自拍, qizhuo selfie, guardian photo, AI character photo, flame symbol, warm style selfie, protective personality Related: zhuoran-selfie, clawra-selfie, zhuoran-video-selfie Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
x-twitter-scraper
by wulaosijiUse when the user needs to interact with X (Twitter) — searching tweets, looking up users/followers, posting tweets/replies, liking, retweeting, following/unfollowing, sending DMs, downloading media, monitoring accounts in real time, or extracting bulk data. Provides 122 REST API endpoints, 2 MCP tools, and HMAC webhooks. Use even if the user says 'Twitter' instead of 'X', or asks about social media automation, tweet analytics, or follower analysis.
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.