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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quark-mswnlz-publisher
by wlzhAutomate the full QuarkPanTool → mswnlz GitHub content publishing pipeline. Use when the user provides Quark share URLs and wants: (1) create a batch folder in Quark Drive, (2) save/copy resources into that folder, (3) copy promotional files INTO each shared resource folder, (4) generate permanent encrypted share links with random passcodes, (5) auto-classify items into mswnlz repos (book/movies/etc.) by repo descriptions, (6) append/update the target repo's YYYYMM.md and README month index, (7) git commit+push, (8) send unified Telegram notifications, and (9) force-trigger mswnlz.github.io site rebuild and return the final site URLs.
x-fetcher
by wlzh抓取 X (Twitter) 推文和长文章的命令行工具。支持普通推文（文字、图片、视频链接）和 X Article 长文章（完整正文，Markdown 格式），自动保存为 Markdown 文件。基于 Jane-xiaoer/x-fetcher 项目。Use when user mentions "抓取推文", "下载推文", "保存 X 文章", "fetch tweet", or provides x.com/twitter.com URLs.
youtube-downloader
by wlzhDownload YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.
youtube-publisher
by wlzh"Upload and publish videos to YouTube with title, description, tags, thumbnail and subtitles. Use for: youtube upload, publish video, share on youtube."
youtube-to-blog-post
by wlzhConvert YouTube videos to SEO-optimized blog posts. Extract video title, description, and content, then generate a search-engine-friendly blog post with embedded video, cover images, optimized metadata, structured Markdown sections, clean resource blocks, and canonical 5-8 keywords. Auto-generates English filenames and saves to the configured Hexo blog posts directory. Includes tag management rules to maintain a clean, consistent tag taxonomy.
audiocut-keyword
by wlzh音频关键字过滤工具 - 根据关键字配置自动识别并删除音频中的指定内容
code-roaster
by wlzh🔥 用 Gordon Ramsay 风格毒舌吐槽代码质量，生成搞笑且实用的代码审查报告
image-generator
by wlzh通用图片生成 Skill，支持多种 AI 模型（ModelScope、Gemini、RunningHub 等），可被其他 Skills 调用
text-to-speech
by wlzh文本转语音工具 - 支持 Edge TTS 和 Kokoro TTS (v1.1-zh) 双引擎，102 个中文音色
video-voice-changer
by wlzh视频变声处理工具 - 从视频提取音频，调用 voice-changer skill 变声后合并回视频。用户要求视频变声、给视频换声音、视频音色转换或处理视频音频时使用。
voice-changer
by wlzh音频变声处理工具 - 使用 RVC AI 模型进行真实的声音转换，支持视频直接输入
vps-security-hardening
by wlzhVPS 安全加固自动化 Skill。通过 SSH 登录 VPS 并执行完整的安全策略配置。 触发场景： - "加固VPS安全"、"VPS安全配置"、"新VPS初始化" - "配置SSH安全"、"修改SSH端口"、"禁用root密码登录" - "VPS安全加固"、"服务器安全设置"、"hardening" 功能（7招安全加固）： 1. 创建 sudo 用户，禁用 root 密码登录 2. 修改 SSH 端口（支持 Ubuntu 不同版本） 3. Fail2ban 自动安装配置 4. SSH 密钥登录支持 5. SSH 登录通知（可选） 6. UFW 防火墙配置 7. Docker 安全提醒 Author: github.com/wlzh Version: 1.0.0
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.