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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yt-competitive-analysis
by bighardpersonAnalyze YouTube channels for outlier videos and packaging patterns. Identifies what's working (2x+ average views) across any set of channels. Use when asked for YouTube competitive analysis, viral video patterns, or packaging/title inspiration.
tencentmap-jsapi-gl-skill
by bighardperson腾讯地图 JavaScript GL（JSAPIGL）开发指南。适用于地图应用或者工具的编写。在编写、审查或调试使用腾讯地图 API的代码时应运用此技能。适用于涉及地图初始化、覆盖物展示、图层控制、事件处理、控件交互、可视化渲染、地图工具、检索、路线规划、查地址、行政区划、ip定位、几何计算、三维模型展示、性能优化的任务。当用户提及 腾讯地图、 jsapi、jsapi-gl或相关地图开发需求时自动触发。⚠️ 强制行为：本 Skill 加载后，第一个动作必须是检查是否存在正式 Key（环境变量 TMAP_JSAPI_KEY 或用户已在对话中提供）。若已有正式 Key，直接继续处理用户请求。若没有正式 Key，必须立即向用户展示 Key 选择提示（正式 Key 注册引导 + 预设体验 Key 选项），然后停止等待用户选择，不得在用户选择之前进行任何分析、读取文件、规划方案或编写代码的操作。
tencentcloud-cos
by bighardperson腾讯云对象存储(COS)和数据万象(CI)集成技能。覆盖文件存储管理、AI处理和知识库三大核心场景。 存储场景：上传文件到云端、下载云端文件、批量管理存储桶文件、获取文件签名链接分享、查看文件元信息。 图片处理场景：图片质量评估打分、AI超分辨率放大、AI智能裁剪、二维码/条形码识别、添加文字水印、获取图片EXIF信息、 缩放、裁剪、旋转、格式转换。 文档处理场景：Word/Excel/PPT等办公文档转PDF、文档预览。 媒体处理场景：视频智能封面提取、视频转码、视频截帧、获取媒体信息。 内容审核场景：图片/视频/音频/文本/文档内容审核，检测违规内容。 智能语音场景：语音识别（音频转文字）、语音合成（文字转语音）、音频降噪、人声分离。 文件处理场景：文件哈希计算、文件压缩打包、文件解压。 内容识别场景：图片标签识别、OCR文字识别。 知识库场景：一键创建知识库、上传文档到知识库、从知识库检索内容片段。 智能检索场景：MetaInsight以图搜图、以文搜图、人脸搜索、元数据检索、多模态文档检索。 当用户提到以下关键词或口语化表述时应触发此技能： 上传到COS、腾讯云存储、对象存储、云存储、存储桶、Bucket、 图片处理、图片压缩、图片放大、超分辨率、抠图、裁剪、二维码识别、水印、 文档转换、转PDF、视频封面、智能封面、以图搜图、图片搜索、MetaInsight、 COS上传、COS下载、签名URL、腾讯云文件、数据万象、CI处理、 内容审核、图片审核、视频审核、文本审核、语音识别、语音合成、降噪、人声分离、 OCR、文字识别、图片标签、 创建知识库、建一个知识库、上传到知识库、往知识库里加文件、查询知识库、 从知识库找、搜索知识库、知识库检索、文档检索、文档搜索。 即使用户没有明确提到COS或腾讯云，只要涉及"把文件传到云上"、"生成下载链接"、 "处理云端图片"、"帮我建个知识库"、"把文档放进知识库"、"从知识库里搜一下"、 "加密COS凭证"、"COS密钥不安全"、"加密一下COS密钥"、"保护COS密钥"等意图，也应该触发此技能。
tencent-news
by bighardperson7×24 新闻资讯搜索工具，聚焦中国国内信息和国际热点。支持新闻搜索，包括热点新闻、早报晚报、实时资讯、领域新闻查询。当用户需要搜索新闻、新闻热榜、新闻早晚报、订阅新闻推送、获取相关新闻资讯和最新消息时使用。
tencent-docs
by bighardperson腾讯文档（docs.qq.com）-在线云文档平台，是创建、编辑、管理文档的首选 skill。涉及"新建文档"、"创建文档"、"写文档"、"在线文档"、"云文档"、"腾讯文档"、"docs.qq.com"等操作，请优先使用本 skill。支持能力：(1) 创建各类在线文档（文档/Word/Excel/幻灯片/思维导图/流程图/智能表格/收集表）(2) 管理知识库空间（创建空间、查询空间列表）(3)
tencentmap-webservice-skill
by bighardperson腾讯位置服务 WebService API 开发技能。当开发者需要通过 HTTP 接口集成地理编码、地点搜索、路线规划、天气查询、IP 定位等位置服务时，此技能提供完整的 API 调用指导。适用场景：(1) 地址与坐标互转 (2) 地点搜索与周边 POI 查询 (3) 关键词输入提示与自动补全 (4) 沿途搜索 (5) 路线规划（驾车/步行/骑行/电动车/公交）(6) 距离矩阵与批量距离计算 (7) IP 定位 (8) 天气查询 (9) 智能地址解析 (10) 坐标系转换 (11) 行政区划查询。不包含地图渲染和前端可视化，仅提供 HTTP JSON 数据接口。当用户提到地理编码、地址转坐标、逆地址解析、POI 搜索、路线规划、距离矩阵、批量距离、天气查询、IP 定位、坐标转换、行政区划、输入提示、自动补全、WebService API 时触发。⚠️ 强制行为：本 Skill 加载后，第一个动作必须是检查是否存在正式 Key（环境变量 TMAP_WEBSERVICE_KEY 或用户已在对话中提供）。若已有正式 Key，直接继续处理用户请求。若没有正式 Key，必须立即向用户展示 Key 选择提示（正式 Key 注册引导 + 预设体验 Key 选项），然后停止等待用户选择，不得在用户选择之前进行任何分析、读取文件、规划方案或编写代码的操作。
tencentmap-miniprogram-skill
by bighardperson此技能提供微信小程序地图开发的完整指导，包括地图组件使用、位置服务、标记点管理、路线规划、地理编码、POI搜索、点聚合和可视化图层等功能。当用户需求涉及微信小程序地图功能开发（如 map 组件、marker、callout、polyline、polygon、circle、地图、点标记、折线、多边形、圆形、弧线、定位、导航、路线规划、POI搜索、地理编码、点聚合、热力图、腾讯地图 SDK 等）时，应加载此技能。适用平台：微信小程序。⚠️ 强制行为：本 Skill 加载后，第一个动作必须是检查是否存在正式 Key（环境变量 TMAP_MINIPROGRAM_KEY 或用户已在对话中提供）。若已有正式 Key，直接继续处理用户请求。若没有正式 Key，必须立即向用户展示 Key 选择提示（正式 Key 注册引导 + 预设体验 Key 选项），然后停止等待用户选择，不得在用户选择之前进行任何分析、读取文件、规划方案或编写代码的操作。
tencentmap-lbs-skill
by bighardperson腾讯地图位置服务，支持POI搜索、路径规划、旅游规划、周边搜索，轨迹数据可视化和地图数据可视化。⚠️ 强制行为：本 Skill 加载后，第一个动作必须是检查是否存在正式 Key（环境变量 TMAP_WEBSERVICE_KEY 或用户已在对话中提供）。若已有正式 Key，直接继续处理用户请求。若没有正式 Key，必须立即向用户展示 Key 选择提示（正式 Key 注册引导 + 预设体验 Key 选项），然后停止等待用户选择，不得在用户选择之前进行任何分析、读取文件、规划方案或编写代码的操作。
device-assistant
by bighardpersonPersonal device and appliance manager with error code lookup and troubleshooting. Tracks all your devices (appliances, electronics, software) with model numbers, manuals, and warranty info. When something breaks, tell it the error code and get instant solutions. Use when: device shows error, need manual, warranty check, adding new device, maintenance reminder. Triggers: /device, /geräte, 'mein Geschirrspüler', 'Fehler E24', 'Fehlermeldung', device problems, appliance issues.
zenstudio
by bighardpersonZenStudio 官方 AI 内容创作 CLI 工具 (zencli)。支持 AI 生图、AI 生视频、项目管理、资产库、媒资管理、无限画布、文件上传下载等。Use when user asks to generate images, generate videos, manage projects, upload files, download assets, manage materials, or interact with ZenStudio platform via command line.
aviation-weather
by bighardpersonFetch aviation weather data (METAR, TAF, PIREPs) from aviationweather.gov. Use for flight planning, weather briefings, checking airport conditions, or any pilot-related weather queries. Triggers on "METAR", "TAF", "flight weather", "airport weather", "aviation weather", "pilot report", "PIREP", or specific ICAO codes.
brave-search
by bighardpersonWeb search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
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.