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.
Querying local SQLite index...
design-consultation
by g4rcezDesign consultation: understands your product, researches competitors, proposes a complete design system (aesthetic, typography, color, layout, spacing, motion), and generates font+color preview pages. Creates DESIGN.md as your project's design source of truth. For existing sites, use /plan-design-review to infer the system instead.
octocat
by g4rcezGit and GitHub wizard using gh CLI for all git operations and GitHub interactions
react-typescript-frontend
by g4rcezGuide for React + TypeScript frontend development. Use when creating, refactoring, or reviewing components, hooks, pages, or any frontend code. Triggers on: component architecture, React patterns, state management, frontend structure, TailwindCSS, testing, accessibility, or scaffolding features.
worktree-workflow
by g4rcezUse when the user wants to work on a new feature in isolation, create a worktree, or manage parallel development branches. Describes the worktree + tmux session workflow.
refactor
by g4rcezSurgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.
review
by g4rcezPre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues.
ship
by g4rcezShip workflow: detect + merge base branch, run tests, review diff, bump VERSION, update CHANGELOG, commit, push, create PR.
tiptap-editor-scroll
by g4rcezCorrect patterns for text selection dispatch and scroll in the writeme-editor Tiptap instance. Use when implementing selection navigation, find/replace, search result highlighting, or any code that scrolls to a ProseMirror position in this editor. Trigger on: editor.commands.setTextSelection, scrollIntoView, scrollTo, coordsAtPos, or any navigation to a match/result in the editor.
blog-writer
by g4rcezWrite, review, and translate blog posts between Portuguese (pt-BR) and English (en-US) for garcez.dev. Use this skill whenever the user wants to write a new blog post, translate an existing post between Portuguese and English, review grammar/style of a post, improve writing quality, or create content for the blog. Triggers on mentions of blog posts, articles, translations pt-br/en-us, writing posts, reviewing post grammar, or content for the blog.
g4rcez-components
by g4rcezUse when: setting up @g4rcez/components in a new project, migrating native HTML elements or hand-rolled UI to this design system, building any React UI that should use @g4rcez/components, or when the user's project already has @g4rcez/components as a dependency. Covers installation, Tailwind v3 preset, Tailwind v4 CSS-first setup, theming with createTokenStyles/TokenRemap, ComponentsProvider/tweaks, parsers, the full component catalog (components, hooks, React, UI, design-system, tokens, Tailwind, forms, modals, notifications, tables, calendar, theming), and native-element migration.
design-system-guidelines
by g4rcezALWAYS use this skill when creating new components, modifying existing components, adding styling, working with design tokens, or doing anything related to this component library. Use this before writing any component code.
g4rcez-components
by g4rcezUse when: setting up @g4rcez/components in a new project, migrating native HTML elements or hand-rolled UI to this design system, building any React UI that should use @g4rcez/components, or when the user's project already has @g4rcez/components as a dependency. Covers installation, Tailwind v3 preset, Tailwind v4 CSS-first setup, theming with createTokenStyles/TokenRemap, ComponentsProvider/tweaks, parsers, the full component catalog (components, hooks, React, UI, design-system, tokens, Tailwind, forms, modals, notifications, tables, calendar, theming), and native-element migration.
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.