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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guardian-install
by JoseCortezz25Guides you through installing and setting up Guardian — the AI-powered Git hook for automated code review — in any project. Use this skill whenever the user wants to add Guardian to a project, set up AI code review as a pre-commit hook, run `guardian init` or `guardian install`, create the `.guardian` config or `AGENTS.md` rules file, or protect a repo with AI-assisted commit gating. Trigger even if the user just asks "how do I use Guardian?" or "can you set up Guardian for me?"
guardian-implement
by JoseCortezz25Deep-dive guide for configuring and using Guardian's advanced features in an existing project. Use this skill whenever the user wants to tune Guardian's behavior beyond basic setup: configuring providers with model selection, adjusting file patterns, setting up STRICT_MODE, using different run modes (--pr-mode, --ci, --all), structuring AGENTS.md with file references, managing the cache, or integrating Guardian into CI pipelines. Trigger when the user asks about Guardian configuration, run modes, AGENTS.md structure, cache behavior, or provider setup in depth — even if they don't say "implement".
acf-local-json
by JoseCortezz25Generate Advanced Custom Fields (ACF) Local JSON configurations for WordPress from visual designs or HTML structures. Use when creating ACF field groups, converting designs to ACF schemas, building WordPress custom fields from mockups, or when working with ACF Pro Local JSON format. Supports flexible content, repeaters, clone fields, and all ACF field types.
atomic-design
by JoseCortezz25Guide for creating, componentizing, and refactoring UI components following Atomic Design. Use this skill whenever the user is actively building a new component, breaking down a UI into components, or refactoring an existing component. Trigger when the user shares a design/screenshot/code to componentize, when they are writing a new component from scratch, when they are splitting a large component into smaller ones, or when they are refactoring a component's structure or responsibilities. Do NOT trigger for general questions about Atomic Design theory — only when there is a concrete component being created, split, or refactored.
electron-agent-browser
by JoseCortezz25Automate Electron desktop apps (VS Code, Slack, Discord, Figma, Notion, Spotify, etc.) using agent-browser via Chrome DevTools Protocol. Use when the user needs to interact with an Electron app, automate a desktop app, connect to a running app, control a native app, or test an Electron application. Triggers include "automate Slack app", "control VS Code", "interact with Discord app", "test this Electron app", "connect to desktop app", or any task requiring automation of a native Electron application.
source-command-ui-to-json
by JoseCortezz25Generate structured Vibe Coding prompts (JSON) from wireframes or interface descriptions
commit-conventions
by JoseCortezz25Enforce project-specific Git commit message conventions compatible with commitlint and pre-commit hooks. Use this skill whenever the user asks to write a commit message, create a git commit, stage and commit changes, suggest a commit for their changes, or review/fix an existing commit message. Also trigger when the user says "commitea esto", "hazme un commit", "qué mensaje de commit uso", or any variation of committing code changes.
frontend-design
by JoseCortezz25Create distinctive, creative frontend designs that avoid generic "AI slop" aesthetics. Focus on unique typography, cohesive color palettes, atmospheric backgrounds, and well-orchestrated motion.
react-19
by JoseCortezz25React 19 patterns with React Compiler. Trigger: When writing React components - no useMemo/useCallback needed.
tailwind-4
by JoseCortezz25Tailwind CSS 4 patterns and best practices. Trigger: When styling with Tailwind - cn(), theme variables, no var() in className.
typescript
by JoseCortezz25TypeScript strict patterns and best practices. Trigger: When writing TypeScript code - types, interfaces, generics.
zod-4
by JoseCortezz25Zod 4 schema validation patterns. Trigger: When using Zod for validation - breaking changes from v3.
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.