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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deployment
by Agents-StoreThis skill should be used when the user wants to "set up Docker for Directus locally", "deploy trigger.dev tasks", "run local dev for the 3-service stack", "configure content-change webhooks with trigger.dev", "CI/CD for trigger tasks", "production checklist for directus + nextjs + trigger.dev", or needs local dev and integration deployment patterns. For platform-specific hosting (Vercel, Dokploy, etc.), see the respective deployment plugin.
init-project
by Agents-StoreThis skill should be used when the user asks to "set up Directus + Next.js + Trigger.dev project", "initialize directus nextjs trigger.dev stack", "bootstrap the 3-service stack", "configure directus next.js and trigger.dev together", "connect trigger.dev to a directus nextjs app", "scaffold stack with background tasks", "start a new project with background jobs", or needs to set up environment variables and verify connections for the Directus + Next.js + Trigger.dev stack.
security-audit
by Agents-StoreWorkspace prompt security audit checklist — checks for hardcoded secrets, prompt injection risks, data leakage, missing safety rules, PII exposure, and overly broad standing orders. Use this skill whenever auditing workspace security, checking for vulnerabilities, reviewing prompt safety, or as part of any workspace optimization. Even if the user doesn't explicitly ask for security, include these checks when doing a full workspace review, optimization, or pre-deployment audit.
bank-statements
by Agents-StoreThis skill should be used when creating a bank statement (виписка) for a specific account and period — a formal document listing all transactions with opening and closing balances. Use this skill whenever the user asks for a statement, виписка, account extract, or needs a formal record of transactions for a specific account, even if they just say "зроби виписку" or "I need a statement for my account".
cms-migration
by Agents-StoreThis skill should be used when the user asks to "migrate WordPress to Payload", "move content from Contentful to Payload", "import Strapi data into Payload", "migrate Sanity to PayloadCMS", "Webflow CMS to Payload", "design Payload collections from CMS export", or needs a structured workflow for moving content from another CMS into Payload.
collections
by Agents-StoreThis skill should be used when the user asks to "create a Payload collection", "define a CollectionConfig", "set up an auth collection", "build an upload collection", "add drafts/versions", "configure admin panel for a collection", "enable live preview", "set defaultColumns", or needs to model any content type in PayloadCMS v3.
fields
by Agents-StoreThis skill should be used when the user asks about "Payload field types", "add a relationship field", "blocks field", "array field", "rich text field", "upload field", "virtual field", "conditional fields", "field validation", "join field", "point/geolocation field", "slug field helper", or needs to design any field inside a PayloadCMS collection or global.
hooks
by Agents-StoreThis skill should be used when the user asks about "Payload hooks", "beforeChange", "afterChange", "afterRead", "beforeDelete", "field hooks", "global hooks", "prevent hook loops", "Next.js revalidation in Payload", "transaction safe hooks", "auto-set author from req.user", or needs to wire up lifecycle automation in PayloadCMS.
jobs-queue
by Agents-StoreThis skill should be used when the user asks about "Payload jobs queue", "Payload background tasks", "Payload workflows", "Payload cron scheduling", "Payload task retries", "Payload runJobs", "Payload autoRun", "queue a job in Payload", or needs to run any background or scheduled work in PayloadCMS.
nextjs-integration
by Agents-StoreThis skill should be used when the user asks about "Payload with Next.js", "getPayload in server component", "Payload App Router", "Payload route groups", "Payload live preview Next.js", "revalidate Payload page", "Payload server actions", "Payload draft mode", "Payload Next.js cache", or needs to wire PayloadCMS into a Next.js v14/v15 frontend.
plugin-development
by Agents-StoreThis skill should be used when the user asks to "build a Payload plugin", "create payload-plugin package", "write a Payload plugin from scratch", "add fields via plugin", "preserve hooks in plugin", "publish payload-plugin to npm", "plugin architecture in Payload", or needs to author or maintain a reusable PayloadCMS plugin.
setup
by Agents-StoreThis skill should be used when the user asks to "install PayloadCMS", "create a Payload project", "set up Payload v3", "scaffold Payload app", "initialize Payload with Next.js", "pick a Payload database adapter", "configure payload.config.ts", or needs to bootstrap a fresh Payload project from zero to a running admin panel.
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.