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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deploy-website
by chaitinDeploy and serve web projects locally for preview. Automatically detects project type (Node.js or static HTML) and starts the appropriate development server.
frontend-design
by chaitinCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
chaitin-cli
by chaitinUse when running chaitin-cli commands to manage Chaitin security products: SafeLine WAF (site management, IP blocking, ACL, policy rules, attack logs), X-Ray vulnerability scanner (scan tasks, results, assets), CodeInsight (projects, repository configs, scan tasks, reports), CodeForce (projects, AI tasks, denoise, repositories), CloudWalker CWPP (events, vulnerabilities, assets), and T-Answer (firewall rules, blocklists).
mui-helper
by chaitinMUI (Material-UI) 组件库使用指南和参考文档。在需要使用 MUI 组件开发 UI 时自动触发：(1) 创建或修改使用 Material-UI 的 UI 组件，(2) 解决 MUI 组件实现问题，(3) 查询 MUI 组件属性和 API，(4) 实现 MUI 布局和主题定制，(5) 在 MUI 版本间迁移或自定义组件行为。
ui-ux-pro-max
by chaitinUI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
shadcnui-helper
by chaitinshadcn/ui 组件库的安装、配置、组件实现、主题定制与排障指南。在 React/Next.js/Vite/Remix 等项目中需要：(1) 初始化或升级 shadcn/ui，(2) 查阅组件 API 与示例，(3) 定制 themes/tokens/暗色模式，(4) 解决 Radix/Tailwind 集成问题，(5) 确保交互与可访问性一致时自动触发。
project-wiki
by chaitin根据现有代码仓库，递归分析项目结构和代码内容，生成 DeepWiki 风格的完整项目文档。支持三种模式：新项目规划、完整生成、同步/刷新。
implementation-planner
by chaitin专业的软件架构师,根据用户需求和设计方案创建详细的实施(开发)计划。将设计方案转化为可执行的任务列表,支持测试驱动开发和渐进式实现。
frontend-project-creator
by chaitin创建新的前端项目，支持框架和组件库选择。当用户需要从零开始创建前端项目并指定技术栈时使用。此 skill 支持 React 框架设置，提供 MUI、shadcn/ui 或 Bootstrap 组件库选项，包含路由配置和多页面结构。
feature-implementer
by chaitin专业的软件工程师,根据已完成的技术方案设计和开发步骤拆解,按照任务列表执行具体的开发实施工作。
feature-design
by chaitinGuide users through feature specification development using EARS patterns and INCOSE quality rules. Creates requirements documents and technical design specifications with iterative user feedback.
corporate-website-dev
by chaitin面向从零启动的公司/产品官网和品牌站项目，覆盖需求澄清、信息架构、UI 方向、Vite+Bootstrap 技术栈与交付。仅在用户需要 0→1 建设全新官网并期望结构化调研、设计与实现指引时使用。
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.