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...
resend
by 5amfungUse when working with Resend email platform - routes to specific sub-skills for sending, receiving, audiences, or broadcasts.
better-auth-tanstack-start
by 5amfungIntegrate Better Auth with TanStack Start using Drizzle + Postgres. Covers core auth (email/password + sessions), Admin, Organization (Multi-tenant), Stripe (Subscriptions + Payments), Email OTP, Last Login Method, and social sign-in (Google, Apple, Microsoft). Use when adding or updating Better Auth in TanStack Start apps, wiring /api/auth routes, protecting routes with middleware, or configuring Drizzle/Postgres adapters and OAuth providers.
integrate-neon-with-drizzle-orm
by 5amfungUse this skill when user asks to integrate Neon (serverless Postgres) with Drizzle ORM.
drizzle-orm
by 5amfungComprehensive guide to Drizzle ORM for PostgreSQL. Covers schema definition, CRUD queries, relational queries, joins, filters, transactions, migrations, type inference, and drizzle-kit. Use when writing database schemas, queries, or migrations with Drizzle ORM, or when the user asks about Drizzle patterns, pgTable, drizzle-kit, or relational queries.
sentry-cli
by 5amfungGuide for using the Sentry CLI to interact with Sentry from the command line. Use when the user asks about viewing issues, events, projects, organizations, making API calls, or authenticating with Sentry via CLI.
tanstack-form
by 5amfungBuild type-safe forms using TanStack Form v1 with React. Covers useForm, form.Field, Zod validation, form composition with createFormHook, arrays, linked fields, listeners, SSR with TanStack Start, and integration with shadcn/ui Field components. Use when the user asks to create forms, add form validation, handle form submission, or work with TanStack Form, useForm, or form fields.
tanstack-query
by 5amfungGuide to TanStack Query v5 (React) for server state management. Covers setup, queries, mutations, query keys, invalidation, infinite queries, optimistic updates, suspense, prefetching, SSR, and testing. Use when the user asks about data fetching, caching, useQuery, useMutation, React Query, TanStack Query, or server state in React.
verify-check-test
by 5amfungVerify repository changes by running the root validation loop for this monorepo, fixing failures, and repeating until verification is clean. Use when finishing non-trivial work in this repo, when a user asks to "run check and test", "fix CI", "verify output", or phrases verification as `pnpm run check test` and expects the repo-native `pnpm run check:boundaries`, `pnpm run lint`, `pnpm run typecheck`, `pnpm run build`, `pnpm test`, and `pnpm test:e2e` workflow.
zod-schema
by 5amfungCreate data schemas and validate data using Zod v4. Covers schema definition, parsing, error handling, coercion, metadata, JSON Schema conversion, and common patterns. Use when the user asks to define schemas, validate data, create types with Zod, or work with runtime type checking in TypeScript.
md-to-notion
by 5amfungConvert markdown files to Notion pages using the Notion SDK for JavaScript. Handles Obsidian-specific syntax including wiki-links, callouts, embeds, frontmatter, LaTeX math, and images. Use when importing markdown to Notion, syncing Obsidian notes to Notion, or building markdown-to-Notion converters.
better-auth-stripe
by 5amfungIntegrate Stripe with Better Auth using the official Stripe plugin. Covers installation, customer creation on signup, subscription plans, checkout and billing portal, webhooks, reference system for users/organizations, lifecycle hooks, and schema. Use when adding or configuring Stripe payments, subscriptions, or billing in a Better Auth app.
shadcn-ui
by 5amfungBuild beautiful, accessible React UIs with shadcn/ui components. Use this skill whenever the user is building interfaces with React and shadcn/ui (or mentions shadcn, Radix-style components, or component libraries), when adding or customizing UI components like buttons, cards, dialogs, forms, tabs, dropdowns, or when theming or styling a React app that uses shadcn. Prefer this skill for concrete component usage, composition, and design tokens; combine with frontend-design for overall aesthetic direction.
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.