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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fa-framework-settings
by fantastic-admin管理和配置 Fantastic-admin 框架设置。当用户提到以下任何需求时必须使用此技能：开启/关闭水印、锁屏、错误日志、更新检查、哀悼模式、移动端访问；切换暗色/亮色/跟随系统主题；修改菜单模式（侧边栏/顶部/精简/面板）；配置标签栏风格（fashion/card/square）；启用/禁用工具栏功能（收藏夹、面包屑、搜索、通知、国际化、全屏、刷新）；设置版权信息；配置认证/权限/登录过期；调整页面切换动画；配置居中布局；修改路由模式；以及任何涉及 src/settings/index.ts 的修改。
fa-crud-page-generator
by fantastic-admin为 Fantastic-admin 框架生成完整的 CRUD 业务模块，包含列表页、详情/编辑页、表单组件、API 模块和 Mock 数据。当用户说：'帮我做一个商品管理页面'、'搭一个用户列表，能搜索、能分页、能新增编辑删除'、'生成一个订单模块'、'我需要一个带增删改查的页面'、'快速搭一个管理页面骨架'，即使用户只是说'新建一个 XX 管理模块'也应触发此技能。
fa-feedback
by fantastic-admin当用户在使用 fa-* 系列技能（如 fa-framework-settings、fa-slot-creator、fa-form-builder、fa-route-generator、fa-store-generator、fa-page-optimizer、fa-theme-customizer 等）时，在同一个目标上经历了 3 次及以上的修改仍未达到预期效果，必须触发此技能。触发信号包括：用户反复要求调整同一处配置或代码、连续说"不对"/"再改改"/"还是不行"、对同一个功能点多次提出修正意见。即使用户没有明确表示"上报"或"反馈"，只要检测到反复沟通修改的模式，就应主动触发。
fa-form-builder
by fantastic-admin为 Fantastic-admin 框架生成独立的表单页面，使用 vee-validate + zod 验证，全部使用框架内建 Fa* 组件。当用户说：'帮我做一个用户信息填写页'、'我只需要一个提交表单，不需要列表'、'做个设置页面，有几个输入框和保存按钮'、'生成一个注册/编辑/配置表单页'、'只要表单页，不需要增删改查'，即使用户只是说'做个表单页面'也应触发此技能。
fa-page-optimizer
by fantastic-admin优化 Vue 页面，用 Fantastic-admin 框架内建组件（packages/components/）替换自定义实现和原生 HTML。当用户说：'帮我优化这个页面'、'把这些原生 HTML 换成框架组件'、'用 FaCard/FaModal/FaButton 重构一下'、'这个页面太乱了'、'统一一下 UI 风格'、'用内建组件替换自定义弹窗/分页/加载'，即使用户只是说'看看这个页面能不能改进'也应触发此技能。
fa-route-generator
by fantastic-admin管理 Vue Router 路由配置，用于 Fantastic-admin 框架。当用户提到以下任何需求时必须使用此技能：新建页面需要加路由、详情页不想显示在菜单里、新增页和编辑页老是开两个标签、从列表跳详情返回后状态丢失、给菜单项加 NEW 标签或红点、路由需要权限控制、配置页面保活、修改路由 meta、添加面包屑配置。即使用户只是说"加个路由"或"新建了一个页面"，也应触发此技能。
fa-slot-creator
by fantastic-admin在 Fantastic-admin 框架中创建插槽，向布局的任意位置注入自定义内容。当用户提到以下任何需求时必须使用此技能：在头部/侧边栏/工具栏/标签栏加东西、logo 旁边加内容、侧边栏底部加用户信息、加个悬浮按钮、在导航菜单右侧加自定义组件、想在框架布局某个区域插入内容、在页面顶部或底部插入全局横幅/公告/版权栏。即使用户只是说"在顶部加个 XX"或"侧边栏加点东西"，也应触发此技能。支持 19 个插槽位置。
fa-store-generator
by fantastic-admin为 Fantastic-admin 框架生成 Pinia Store 模块。当用户提到以下任何需求时必须使用此技能：多个页面需要共享数据、全局状态管理、数据需要持久化（刷新后还在）、登录状态/用户信息需要缓存、购物车/通知/权限等全局数据、需要在组件外访问状态。即使用户只是说"这个数据要全局共享"或"刷新后数据不能丢"，也应触发此技能。触发关键词：创建 store、全局状态、状态管理、pinia、持久化、共享数据。
fa-theme-customizer
by fantastic-admin为 Fantastic-admin 框架创建和定制主题配色方案，始终同时生成明色（light）和暗色（dark）两套主题。当用户提到以下任何需求时必须使用此技能：换主题颜色、换配色、做一个 XX 风格的主题、主题太单调了、品牌色是 XXX 帮我生成主题、把 tweakcn 配色转成框架主题、想要暗色/冷色/暖色调、根据设计稿颜色生成主题。即使用户只是描述一种感觉（"清新"、"沉稳"、"科技感"）或提供一个颜色值（"#2563EB"），也应触发此技能。支持"吉卜力"、"赛博朋克"、"莫兰迪"、"北欧极简"等专业设计风格关键词。
fa-crud-page-generator
by fantastic-admin为 Fantastic-admin 框架生成完整的 CRUD 业务模块，遵循框架标准模块结构和内建 Fa* 组件体系，产出列表页、详情/编辑页、DetailForm 表单组件、API 模块、fake mock 数据、可选路由。用户说：'帮我做一个商品管理页面'、'搭一个用户列表，能搜索分页新增编辑删除'、'生成订单模块'、'新建 XX 管理模块'、'快速搭一个标准模块/CRUD 页面' 时，即使没有明确说 CRUD，也应触发此技能。
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.