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...
turso
by oakossTurso edge-hosted SQLite platform built on libSQL (open-source SQLite fork). Covers @libsql/client SDK, embedded replicas with local sync, multi-database per-tenant architecture, platform API for database provisioning, schema migrations, vector search with F32_BLOB, batch operations, interactive transactions, and encryption at rest. Use when connecting to Turso databases, configuring embedded replicas, provisioning databases via the platform API, implementing per-tenant database isolation, performing vector similarity search, or integrating libSQL with Drizzle ORM.
pnpm-workspace
by oakosspnpm workspace monorepo management with filtering, catalogs, and shared configs. Use when setting up monorepos, managing workspace dependencies, filtering package commands, or sharing configuration across packages.
shadcn-ui
by oakossBuilds accessible, customizable component libraries using shadcn/ui with Radix UI or Base UI, Tailwind CSS 4, and React 19. Covers component ownership, oklch CSS theming, type-safe forms with Field and Zod, CLI workflows, and registry patterns. Use when adding shadcn/ui components, configuring themes, building forms with Zod, creating custom registries, or composing accessible component variants. Use for shadcn CLI, dark mode, component variants, form validation.
tsdown
by oakosstsdown TypeScript bundler built on Rolldown for libraries and packages. Use when bundling TypeScript libraries, generating declaration files, or publishing npm packages. Use for tsdown, bundler, rolldown, dts, declaration, library-build, esm, cjs, treeshake.
resend
by oakossResend email API for sending transactional and marketing emails. Use when integrating email delivery, managing domains, handling webhooks, building email workflows with React Email, managing contacts, or sending broadcasts. Use for resend, email, transactional, broadcast, contacts, segments, webhooks, domain.
local-first
by oakossLocal-first architecture decision framework for web applications. Covers when to go local-first vs server-based vs hybrid, sync engine selection (ElectricSQL, Zero, PowerSync, Replicache, LiveStore, Triplit), client-side storage options (IndexedDB, OPFS, SQLite WASM, PGlite), and conflict resolution strategies (LWW, CRDTs, server-wins, field-level merge). Use when deciding whether to adopt local-first architecture, choosing a sync engine, selecting client storage, or designing conflict resolution strategies.
electricsql
by oakossElectricSQL real-time Postgres sync engine using Shapes for partial replication. Covers ShapeStream API, React hooks, where clause filtering, column selection, auth proxy patterns, and progressive write strategies from online-only to through-the-database. Use when setting up ElectricSQL, configuring Postgres sync, implementing shape-based data loading, building auth proxies for shapes, or choosing write patterns for local-first apps with Electric.
ghostty
by oakossControls the Ghostty terminal emulator via CLI actions and configuration. Use when managing Ghostty windows, fonts, themes, keybinds, config validation, or debugging terminal configuration. Use for ghostty CLI, terminal config, theme selection, font management.
storybook-stories
by oakossWrites and maintains Storybook stories and interaction tests using CSF3 format. Covers component stories, play functions, visual regression testing with Chromatic, and accessibility testing. Use when creating component documentation, writing interaction tests, debugging test failures, configuring visual snapshots, or updating story structure. Use for CSF3, play functions, userEvent, Testing Library queries, Chromatic configuration, autodocs, MDX.
data-visualizer
by oakossCharts, dashboards, and data visualizations using Recharts, Chart.js, and D3.js. Use when building charts, dashboards, or interactive data displays. Use for chart type selection, data storytelling, annotation patterns, responsive design, accessibility, and performance optimization.
better-auth
by oakossSelf-hosted TypeScript auth framework with social auth, 2FA, passkeys, organizations, RBAC, and 15+ plugins. Supports Drizzle/Prisma/Kysely adapters. Self-hosted alternative to Clerk/Auth.js. Use when: configuring auth, adding plugins, social OAuth, multi-tenant SaaS, organizations with teams and RBAC, two-factor authentication (TOTP/OTP/backup codes), email verification, password reset flows, session management, rate limiting, CSRF and cookie security, Expo/mobile, D1 adapter errors, TanStack Start integration, additionalFields bugs, admin plugin, migrating from NextAuth, migrating from Clerk, migrating from Supabase Auth, or troubleshooting auth issues.
api-testing
by oakossAPI testing patterns with supertest, MSW, and Vitest. Covers integration testing for REST APIs, HTTP request mocking with Mock Service Worker v2, response assertions, schema validation, test organization, and framework-specific patterns for Express, Fastify, and Hono. Use when writing integration tests for REST APIs, mocking HTTP requests, or testing API endpoints. Use for api-test, supertest, msw, mock-service-worker, integration-test, http-mock, endpoint-test, request-test.
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.