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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mysql-planetscale
by get-caioPatterns for MySQL on PlanetScale — branching workflow, connection pooling, safe migrations without FK constraints, read replicas, and query optimization. Use this skill when working with PlanetScale, MySQL database operations, migration safety, connection pooling, query performance, or database branching. Trigger on PlanetScale, MySQL, database migration, connection pool, read replica, or query optimization.
seo-foundations
by get-caioCore SEO knowledge covering keyword research, on-page optimization, technical SEO, content strategy, and link building fundamentals. Platform-agnostic — applies to any site (CAIO, Go, ServiceStack, client deployments). Load this skill before any site build, content generation, or SEO audit.
local-seo
by get-caioLocal SEO mastery for service-area businesses. Google Business Profile management, map pack ranking, citation building, review strategy, competitor intelligence, DBA strategy, virtual offices, and community presence. Load alongside seo-foundations for any local business deployment (ServiceStack primary, but applicable to any CAIO client serving a geographic area).
seo-routing
by get-caioSEO skill routing guide — which SEO skills to load for common tasks. Always load seo-foundations as baseline. Add local-seo for local businesses, aeo-geo for AI visibility, seo-agent-playbook for agent workflows, and seo-integrations for technical implementation. Read this skill first when doing any SEO work to know which skills to combine.
woocommerce
by get-caioPatterns for building WooCommerce plugins with WordPress Plugin API, WC REST API v3, order hooks, and product sync. Use this skill when building WooCommerce integrations, product catalog syncing via WC API, order webhook handling, or WordPress eCommerce plugin development. Trigger on any mention of WooCommerce, WC plugin, WC REST API, or WordPress eCommerce.
design-taste-frontend
by get-caioOpinionated taste layer for premium frontend UI. Enforces anti-AI-slop rules (banned fonts, colors, layouts, patterns), metric dials (variance/motion/density), perpetual-motion Bento architecture, and RSC/Client boundary discipline for motion components. TRIGGER when: building greenfield marketing/landing pages, SaaS dashboards, hero sections, Bento grids; user says 'make it premium', 'less AI-looking', 'Vercel-style', 'high-end'; designing UI that needs taste/opinion beyond structural correctness. SKIP: backend/API work, bug fixes to existing UI without redesign, pure accessibility/a11y passes, work that must match an existing tightly-scoped design system (use design-system instead).
seo-integrations
by get-caioTechnical reference for the SEO connector layer. Covers DataForSEO, Google APIs (GBP, Search Console, PageSpeed), BrightLocal, Serper.dev, CallRail, Moz, Twilio, Reddit API. Includes connector interface patterns, cost modeling, build-vs-buy decisions, credential management, and extraction checklist. Load when implementing or debugging SEO integrations.
heroku-deploy
by get-caioPatterns for deploying Bun apps to Heroku — Procfile, config vars, Redis addon, PlanetScale connection, review apps, and deploy pipeline. Use this skill when deploying to Heroku, configuring Heroku addons, setting up CI/CD with Heroku, or managing production infrastructure. Trigger on Heroku, Procfile, config vars, Heroku Redis, deploy pipeline, or production deployment.
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.