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...
run-plugin-tests
by a8cteam51Runs the PHPUnit test suite for the Query Loop Load More plugin. Use when the user asks to "run tests", "execute tests", "run the test suite", "verify tests pass", "run phpunit", or when validating changes before commit/PR.
prepare-plugin-release
by a8cteam51Prepares a new release of the Query Loop Load More WordPress plugin. Use when the user asks to "bump version", "prepare release", "cut a release", "update changelog for release", or when releasing a new plugin version to WordPress.org or GitHub.
a11y
by a8cteam51Accessibility-focused QA testing against WCAG 2.2 Level AA standards
performance
by a8cteam51Performance-focused QA testing for load times, console errors, and network health
functional-design
by a8cteam51Functional and design-focused QA testing across multiple pages and viewports
aeo
by a8cteam51AEO / AI Mode QA — evaluates how AI tools discover, parse, and cite a website
rmfa-testing
by a8cteam51Guides writing and running tests for the Restrict Media File Access WordPress plugin using Codeception/wp-browser integration tests and Codeception E2E tests. Use when writing tests, debugging test failures, or adding coverage for new features.
rmfa-file-protection
by a8cteam51Guides work on the Restrict Media File Access file protection pipeline including protecting/unprotecting files, hash-based URL rewriting, file serving with range request support, access control, attachment tracking, and URL replacement in post content. Use when debugging access issues, modifying the protection flow, working with URL rewriting, or changing how files are served.
rmfa-architecture
by a8cteam51Guides work on Restrict Media File Access WordPress plugin PHP architecture including services, REST API, cron, settings, filesystem helper, and bulk operations. Use when adding or modifying services, REST endpoints, admin UI, settings, cron jobs, or understanding the plugin bootstrap and service pattern.
clone-new-site
by a8cteam51Scaffolds a brand-new local WordPress Studio site from a GitHub repo by downloading WordPress, using the cloned repo AS wp-content, and creating a Studio site via the studio CLI. Use when the user asks to "set up a new Studio site", "scaffold a Studio site from <repo>", "spin up a local WordPress for <repo>", "create a Studio site using <github url>", "install WordPress with this repo as wp-content", "clone <repo> into a fresh WordPress install", "get a new Studio site running with <repo>", "bootstrap a WordPress site from <repo>", "stand up a local WP site with wp-content from <repo>", or describes any variant of bootstrapping a new local WP Studio site whose wp-content comes from a specific repo. For converting an existing local site's wp-content into a git clone (preserving uploads/database), use clone-into-existing-site instead.
wpbakery-to-gutenberg
by a8cteam51This skill should be used when the user asks to "convert this page", "migrate this page to blocks", "convert WPBakery on <URL>", "rewrite this page as Gutenberg", or otherwise requests an in-place WPBakery→Gutenberg conversion of a single post or page on a local WordPress Studio site. Triggers when a page URL is supplied alongside any WPBakery→Gutenberg conversion intent.
clone-into-existing-site
by a8cteam51Converts an existing local WordPress Studio site's wp-content directory into a fresh clone of a GitHub repo while preserving the site's local runtime data (uploads, SQLite database, db.php drop-in, sqlite-database-integration mu-plugin, and all installed plugins and themes). Use when the user asks to "set up git on an existing site", "make this site's wp-content a git repo", "swap wp-content for <repo> on an existing site", "git-ify my Studio site's wp-content", "back the existing site with this repo", "point my local site at <repo>", "clone <repo> into an existing site without losing my uploads/database/plugins/themes", or describes any variant of converting an already-working local Studio site to be backed by a git repo. For brand-new sites with no local data to preserve, use clone-new-site instead.
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.