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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new
by clacky-aiCreate a new project to start development quickly
oss-upload
by clacky-aiUpload local files to Tencent COS (oss.1024code.com CDN) using coscli. Use when user wants to upload a file to CDN/OSS, or deploy static assets.
personal-website
by clacky-aiGenerate a beautiful personal homepage (linktree-style) and publish it online for the user. Reads user info from ~/.clacky/agents/USER.md and AI info from ~/.clacky/agents/SOUL.md. Returns a public URL the user can share. Trigger on: "profile card", "homepage", "personal page", "generate my card", "make my card", "publish my card", "生成名片", "做名片", "我的名片", "个人主页", "发布主页", "delete my card", "删除名片", "删除主页".
product-help
by clacky-aiUse this skill when the user asks about my own features, configuration, or usage — installation, skills, Web UI, CLI, API config, memory, sessions, encryption, white-label, publishing, pricing, troubleshooting, or restarting the server. Do NOT trigger for general coding tasks unrelated to me.
skill-add
by clacky-aiInstall skills from a zip URL or local zip file path. Use this skill whenever the user wants to install a skill from a zip link or a local file, or uses commands like /skill-add with a URL or file path. Trigger on phrases like: install skill, install from zip, skill from zip, skill from url, add skill from zip, 安装skill, 从zip安装skill, 从本地安装skill.
skill-creator
by clacky-aiCreate new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
commit
by clacky-aiSmart Git commit helper that analyzes changes and creates semantic commits
gem-release
by clacky-aiAutomates the complete process of releasing a new version of the openclacky Ruby gem. Supports both stable releases (auto-increment) and pre-release versions (user-specified, e.g., 1.0.0.beta.1). Handles version bumping, testing, building, RubyGems publishing, GitHub Releases, and OSS CDN mirroring.
browser-setup
by clacky-aiConfigure the browser tool for Clacky. Guides the user through Chrome or Edge setup, verifies the connection, and writes ~/.clacky/browser.yml. Supports macOS, Linux, and WSL (Windows Chrome/Edge via remote debugging). Trigger on: "browser setup", "setup browser", "配置浏览器", "browser config", "browser doctor". Subcommands: setup, doctor.
channel-manager
by clacky-aiConfigure IM platform channels (Feishu, WeCom, Weixin, Discord, Telegram, DingTalk) for openclacky. Uses browser automation for navigation; guides the user to paste credentials and perform UI steps. Trigger on: "channel setup", "setup feishu", "setup wecom", "setup weixin", "setup wechat", "setup discord", "setup telegram", "setup dingtalk", "channel config", "channel status", "channel enable", "channel disable", "channel reconfigure", "channel doctor", "send message to weixin", "send message to feishu", "send message to wecom", "send message to discord", "send message to telegram", "send message to dingtalk". Subcommands: setup, status, enable <platform>, disable <platform>, reconfigure, doctor, send.
code-explorer
by clacky-aiUse this skill when exploring, analyzing, or understanding project/code structure. Required for tasks like "analyze project", "explore codebase", "understand how X works".
cron-task-creator
by clacky-aiCreate, manage, and run scheduled automated tasks (cron jobs) in Clacky. Use this skill whenever the user wants to create a new automated task or cron job, set up recurring automation, schedule something to run daily/weekly/hourly, view all scheduled tasks, edit an existing task prompt or cron schedule, enable or disable a task, delete a task, check task run history or logs, or run a task immediately via the WebUI. Trigger on phrases like 定时任务, 自动化任务, 每天自动, 创建任务, cron, 定时执行, scheduled task, automate this, run every day, set up automation, edit my task, list my tasks, what tasks do I have, disable task, run task now, task history, etc.
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.