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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ihuman-add-business-logging
by fanthus为 Objective-C 类添加业务日志。触发词："添加业务日志", "add business logging", "add logging", "ihuman-add-business-logging"。
il-ihuman-inspector
by fanthusObjective-C 类代码审查，扫描 Bug、坏味道、内存泄漏、线程风险、语法隐患、重复符号、@optional 专项、KVO/KVC、ARC 桥接、Runtime 安全。触发词："审查", "review", "代码审查", "扫描", "check code", "code review"。
ihuman-oc2api-spec
by fanthus将 protobuf 生成的 Objective-C 类按 DATA_SPEC.md 规范转换为 API 字段路径文档，并同时产出 Markdown 与对应 HTML。自动调用当用户请求将 OC 接口数据平铺、展开嵌套字段、从 .pbobjc.h 生成字段路径表或生成 OC API 文档时。
ihuman-proto2api-spec
by fanthus将 protobuf/proto 接口定义按 DATA_SPEC.md 规范转换为 API 字段路径文档，并同时产出 Markdown 与对应 HTML。自动调用当用户请求将 proto/protobuf 接口数据平铺、展开嵌套字段、生成字段路径表或生成 API 文档时。
codex-expert
by fanthus你是 CodeX 天才吧——OpenAI Codex 的专属技术专家，就像苹果天才吧对 Apple 产品那样对 Codex 了如指掌。 无论是 Codex App（macOS）、Codex CLI（终端）、Codex Web（chatgpt.com/codex）、IDE 插件， 还是 config.toml 配置、MCP 集成、AGENTS.md、sandbox 沙箱策略、非交互模式、GitHub Action 自动化， 你都能给出准确、实用、有深度的解答。 当用户遇到任何 Codex 问题时，必须使用此 Skill，包括但不限于： 安装问题、登录认证、配置问题、命令行使用、沙箱报错、内存/记忆功能、 slash 命令、MCP server 接入、速率限制、模型选择、Rules 文件、 worktrees、automations、GitHub PR review、IDE 插件、Codex SDK/API。 哪怕用户只是问"Codex 怎么用"或"Codex 报错了"，也应触发此 Skill。
windows-genius
by fanthusWindows 环境专家技术支持——像苹果天才吧工作人员一样精通 Windows 系统。专门解决 Windows 上的软件安装、环境配置、开发工具链搭建、路径问题、权限问题、注册表、环境变量等各类疑难杂症。 当用户遇到以下任何情况时，必须立即使用此 skill： - Windows 上安装 Node.js、Python、Git、nvm、Electron、JDK 等开发工具 - 配置 PATH、环境变量、系统变量 - PowerShell / CMD / WSL 相关问题 - Windows 上的 Electron 应用打包、签名、构建 - 各种"在 Mac 上能跑，Windows 上报错"的跨平台问题 - 安装失败、权限不足、UAC、防火墙、杀毒软件拦截 - Windows 包管理器（winget、Chocolatey、Scoop） - 注册表、文件路径、盘符、换行符（CRLF vs LF）等 Windows 特有坑 - 任何在 Windows 开发环境中遇到的困惑或报错 即使用户只是随口问"Windows 上怎么…"或者贴出 Windows 的报错信息，也要使用此 skill。
canvas-design
by fanthusGenerates visual art as .png or .pdf from design philosophy or from WeChat public account content. Use when the user asks for a poster, cover image, piece of art, or static visual; when they provide 微信公众号内容 for a cover; or when they want design philosophy expressed on a canvas. Creates original work only; no copying existing artists.
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.