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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update-spatie-docs
by freekmurzeUpdate Spatie package documentation on spatie.be by re-importing docs for a given repo. Use after merging a PR that touches docs/, or when the user says 'update docs for [package]', 'rebuild docs for [repo]', 'import docs for [repo]', or invokes /update-spatie-docs [repo-name]. Takes a repo name argument (e.g., 'backup', 'laravel-medialibrary', 'laravel-pdf').
speeding-up-laravel-tests
by freekmurzeUse when Laravel/Pest test suites are slow, CI duration is growing, individual tests take seconds, or the user asks to speed up, optimize, or profile tests. Covers factories, fakes, config caching, XDebug/pcov, BCRYPT_ROUNDS, LazilyRefreshDatabase, and stray HTTP requests.
laravel
by freekmurzeLaravel PHP framework conventions and best practices. Use when building Laravel applications, writing controllers, models, migrations, routes, middleware, form requests, policies, jobs, events, or any Laravel-specific code. Triggers include "Laravel", "Eloquent", "Artisan", "php artisan", routing, migrations, or working with Laravel projects.
livewire-4
by freekmurzeBuild Livewire 4 components and applications. Use when creating reactive Laravel interfaces, single-file components, multi-file components, page components, forms, actions, or any Livewire-based UI. Triggers include "Livewire component", "wire:model", "wire:click", building interactive Laravel UIs, or working with Livewire 4 projects.
laravel-inertia-react-structure
by freekmurzeFrontend structure conventions for Laravel Inertia React applications based on Spatie's production practices. Use when creating, scaffolding, or reviewing frontend code in a Laravel Inertia React project. Triggers on creating React components, pages, modules, organizing frontend directories, setting up Inertia pages, structuring a React frontend within Laravel, or when the user asks about frontend file organization in an Inertia app.
float
by freekmurzePlan and manage team allocations on Float.com using the Float API. Use when the user wants to plan someone on a project, check who is planned where, view allocations, create or update allocations, look up people or projects, or anything related to Float resource planning. Triggers on phrases like "plan", "allocate", "schedule someone on a project", "who is working on", "Float", or any reference to team resource planning.
flux-ui
by freekmurzeFlux UI component library for Livewire. Use when building UIs with Flux components like buttons, inputs, modals, tables, forms, navigation, or any Livewire interface using the flux: Blade component prefix. Triggers include "Flux component", "flux:button", "flux:input", "Livewire UI components", or building admin/dashboard interfaces.
tailwind-css
by freekmurzeTailwind CSS utility-first styling. Use when building UIs with Tailwind classes, responsive design, dark mode, flexbox/grid layouts, hover/focus states, or any frontend styling with utility classes. Triggers include "Tailwind", "utility classes", "responsive design", "dark mode styling", or CSS layout questions.
spec-writer
by freekmurzeCreate detailed software specifications through iterative Q&A brainstorming. Use when starting a new project, feature, or app. Produces spec.md, architecture docs, implementation plans with step-by-step prompts, and todo checklists. Triggers include "write a spec", "plan this project", "brainstorm this idea", "create implementation plan", or any new project/feature planning.
php-guidelines-from-spatie
by freekmurzeDescribes PHP and Laravel guidelines provided by Spatie. These rules result in more maintainable, and readable code.
spatie-guidelines
by freekmurzeSpatie's coding guidelines and conventions. Use when writing PHP, Laravel, JavaScript, or Vue code for Spatie projects or packages. Covers code style, naming, routing, controllers, Blade, validation, Git workflow, package structure, testing (Pest), and service providers. Triggers include "follow Spatie guidelines", "Spatie style", "Spatie package", or any code review for Spatie packages/projects.
spatie-package-skeleton
by freekmurzeGuide for creating PHP and Laravel packages using Spatie's package-skeleton-laravel and package-skeleton-php templates. Use when the user wants to create a new PHP or Laravel package, scaffold a package. Also use when building customizable packages — covers proven patterns for extensibility (events, configurable models/jobs, action classes) instead of config option creep.
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.