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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youth-coding-education-master
by swaylq青少年编程教育 (Youth Coding Education) Master OS — automated mastery of Youth Coding Education: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on Youth Coding Education problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「少儿编程」「青少年编程」「编程教育」「编程启蒙」「Scratch教学」
youth-mental-health-edu-master
by swaylq青少年心理健康教育 (Youth Mental Health Education) Master OS — automated mastery of Youth Mental Health Education: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on Youth Mental Health Education problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「青少年心理」「心理健康教育」「校园心理」「学校心理辅导」「社交情感学习」
ye-yunyan
by swaylq叶云燕视角. 平安寿险代理人体系销售方法论 living legend, 「事业宗教叙事 + 师徒制扩张」流派代表. 提供「主动筛客 + 极致服务 + 团队复制」式决策视角, 与独立经纪流派 (江立辉 / 明亚) 形成对位张力.
zhang-mingkai-criminal-law-academic-perspective
by swaylq张明楷 (清华大学法学院文科资深教授) 视角. 国内刑法学术代表 + 教材标准 (《刑法学》第七版) + 结果无价值论代表. 调用此 skill 时, 用张明楷框架做刑法学术解释 / 构成要件实质解释 / 罪名认定决策.
zhang-jianzhong-tongren-perspective
by swaylq张建中 (首都医科大学附属北京同仁医院足踝外科矫形中心) 视角. 国内足踝外科教父级代表. 拇外翻 + 平足 + 踝关节置换 + 中文圈本土化派. 调用此 skill 时, 用张建中框架做拇外翻 / 国内患者 / 中文圈实操决策.
xiaohongshu-ops-master
by swaylq小红书运营 (xiaohongshu operations) Master OS — automated mastery of xiaohongshu operations: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on xiaohongshu operations problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「小红书」「种草」「薯条」「信息流」「笔记」
dong-yuhui-dongfangzhenxuan-perspective
by swaylq董宇辉 / 东方甄选视角. 内容驱动直播代表. 调用此 skill 时, 用东方甄选「文化带货」框架做内容驱动直播决策.
luo-yonghao-jiaopengyou-perspective
by swaylq罗永浩 / 交个朋友视角. 店播头部 + 头部主播 IP 化方法论. 调用此 skill 时, 用交个朋友的认知框架做店播 / 主播 IP 决策.
web-online-exhibition-master
by swaylqWeb 线上展览开发 (虚拟展厅) (Web 线上展览 / 虚拟展厅开发 (从业者/工程视角) — 用 web 技术开发线上展览、虚拟展厅、云展会、数字展馆，覆盖 3D 空间、全景漫游、WebXR、文博数字化、营销云展厅、3D 商品展示等形态。覆盖: (a) 技术栈 — 3D web(Three.js / React Three Fiber / Babylon.js / Google model-viewer / WebGL / WebGPU)、全景(Pannellum / Marzipano / Photo Sphere Viewer / krpano / 720云)、WebXR(WebXR Device API / A-Frame)、资产管线(glTF·GLB / Draco / Meshopt / KTX2 纹理压缩 / gltf-transform / LOD); (b) 自研 vs SaaS 平台选型(国内: 众趣 / 酷雷曼 / 比目鱼 / 会鸽 / 3DVista; 海外: Matterport / Kuula / Artsteps / Spatial); (c) 性能优化(大场景加载 / 模型轻量化 / draw call / 移动端 / 首屏 / 显存)——web 3D 第一性难题; (d) 策展与导览(动线设计 / 热点 hotspot / 语音讲解 / 交互); (e) 文博数字化(IIIF / 数字孪生 / 高清文物) 与 会展·电商商业化(营销云展厅 / 数据埋点 / 线索转化); (f) 部署(CDN / 流式加载 / 跨端兼容 / WebGL 降级)。学派分歧: 自研 Three.js vs SaaS 平台、真 3D 重场景 vs 720 全景轻量、WebGL vs WebGPU、文博考据派 vs 营销转化派、沉浸优先 vs 加载优先。不含: 线下展陈 / 展台搭建、原生 VR App(非 web)、通用 3D 游戏开发、纯 3D 建模教程。) Master OS — automated mastery of Web 线上展览 / 虚拟展厅开发 (从业者/工程视角) — 用 web 技术开发线上展览、虚拟展厅、云展会、数字展馆，覆盖 3D 空间、全景漫游、WebXR、文博数字化、营销云展厅、3D 商品展示等形态。覆盖: (a) 技术栈 — 3D web(Three.js / Reac
liang-xiangrun
by swaylq梁湘润 (1930-2014) 视角. 港台子平派学科化代言人, 「子平母法」主张者, 三阶段教学法奠基人. 行卯出版社系列著作主笔, 对民国整理派 (徐乐吾) 有学科史层级反驳 — 「沈氏精蕴, 为徐之注释所掩, 多以己习误解沈意」. 把禄命学从「师徒相授」推向「学科化教学体系」, 是子平派内部少有的「学院气 + 实务命理人」复合身份. 用途: 当用户面临「评注派 vs 原文派 / 命学如何系统化学习 / 子平方法论梳理 / 整理派内部古意分歧」类问题时, 切换到这副镜片.
civil-service-exam-prep-master
by swaylq公务员考试培训 (Civil Service Exam Preparation) Master OS — automated mastery of Civil Service Exam Preparation: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on Civil Service Exam Preparation problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「公务员考试」「公考培训」「行测」「申论」「公考面试」
family-education-coaching-master
by swaylq家庭教育指导 (Family Education Coaching) Master OS — automated mastery of Family Education Coaching: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on Family Education Coaching problems and wants industry-grade thinking, tool selection, or workflow guidance. 触发词：「家庭教育」「家庭教育指导」「家庭教育指导师」「亲子关系」「亲子沟通」
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.