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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xtermjs-skill
by acaprinoExpert guidance for building, configuring, and integrating xterm.js terminal emulators in web and Electron applications. Use this skill whenever the user mentions xterm, xterm.js, @xterm/xterm, terminal emulator in the browser, web terminal, WebSSH, in-browser shell, or asks about addons like FitAddon, WebglAddon, SearchAddon, AttachAddon, or integration with node-pty. Also trigger for questions about ANSI/VT sequences, terminal theming, PTY over WebSocket, custom key handlers, parser hooks, or embedding a terminal in React/Vue/Angular/Electron apps. TRIGGER WHEN: the user mentions xterm, xterm.js, @xterm/xterm, terminal emulator in the browser, web terminal, WebSSH, in-browser shell, or asks about addons like FitAddon, WebglAddon, SearchAddon, AttachAddon, or integration with node-pty. DO NOT TRIGGER WHEN: the user wants a native OS terminal (not browser-based) or a non-xterm terminal library (e.g. VT100 emulator in Python).
generate-mindmap
by acaprino"Brainstorm and generate a Buzan-style structured mindmap JSON outline from any content. Use this skill whenever the user asks to create a mind map, mappa mentale, concept map, or visual summary. The skill prioritizes COGNITIVE EFFECTIVENESS over structural efficiency: it uses single keywords, strong visual associations (emojis), organic radiant thinking, and cross-linking to maximize memory retention and idea generation.". TRIGGER WHEN: the user asks to create a mind map, mappa mentale, concept map, or visual summary -- typically to learn, brainstorm, or structure knowledge around a topic. DO NOT TRIGGER WHEN: the user wants a traditional outline, flowchart, or diagram (use Mermaid directly) rather than a radiant Buzan-style mind map.
shadcn-ui
by acaprinoExpert guidance for building with shadcn/ui -- component composition, registry system, form patterns, data tables, sidebar navigation, theming, and Tailwind v4 migration. Trigger when working with shadcn/ui components, adding shadcn to a project, composing complex UI from shadcn primitives, or customizing shadcn themes. Also trigger on mentions of "shadcn", "shadcn/ui", "shadcn components", "shadcn registry", or "shadcn blocks". TRIGGER WHEN: working with shadcn/ui components, adding shadcn to a project, composing complex UI from shadcn primitives, or customizing shadcn themes DO NOT TRIGGER WHEN: the task is outside the specific scope of this component.
pydantic-v2
by acaprinoPydantic v2 patterns for production Python: validators (`@field_validator`, `@model_validator`), computed fields, strict types, discriminated unions, settings management, `model_validate` / `model_dump`, `condecimal` and `Annotated[Decimal, ...]` for money, performance tips, and a v1 to v2 migration checklist. Also covers FastAPI integration (response_model serialization, request validation, error envelope customization). TRIGGER WHEN: writing or refactoring Pydantic models in Python 3.10+; migrating a codebase from Pydantic v1 to v2; choosing between `Annotated[Decimal, ...]` vs `condecimal`; hitting v2 performance or serialization surprises; designing FastAPI request/response schemas or error envelopes with Pydantic. DO NOT TRIGGER WHEN: the task is Python testing (use python-tdd), generic typing unrelated to Pydantic (use mypy / typing docs), or non-Python schema work (use typescript-development for Zod / io-ts).
platform-engineering
by acaprinoCross-platform development rulebook covering security, architecture, and performance for SPA, PWA, mobile (iOS/Android), and desktop (Electron/Tauri) applications. MUST/DO/DON'T framework with real-world incident references and platform-specific guidance. TRIGGER WHEN: reviewing or building cross-platform apps, checking security posture, validating architecture decisions, optimizing performance, or auditing code against industry standards (OWASP, Core Web Vitals, OAuth 2.1). DO NOT TRIGGER WHEN: the task is purely about UI design, copywriting, or business logic unrelated to platform engineering concerns.
mt5-trading
by acaprinoComprehensive MetaTrader 5 Python algotrading knowledge base covering the official synchronous API, polling-based event systems, order execution with fill modes, historical data functions, reconnection resilience, and Windows production deployment. Includes aiomql and ZeroMQ bridge alternatives. TRIGGER WHEN: building, implementing, writing, coding, creating, optimizing, or debugging MT5 trading systems with Python. DO NOT TRIGGER WHEN: the task is outside the specific scope of this component.
pwa-development
by acaprinoProgressive Web App knowledge base for 2025-2026: Web App Manifest, Service Workers (Workbox 7, Serwist), Web Push (VAPID, RFC 8030/8291/8292, Declarative Push for Safari 18.4+), install flows (beforeinstallprompt, Window Controls Overlay), OPFS storage, Project Fugu, Core Web Vitals (INP < 200ms), security (HTTPS, CSP, COOP/COEP), and distribution (Bubblewrap, PWA Builder MSIX, Capacitor). TRIGGER WHEN: building, auditing, or debugging PWAs, including manifest, service worker, Web Push, install flow, OPFS, Background Sync, Wake Lock, vite-plugin-pwa, Next.js Serwist, @angular/pwa, @vite-pwa/nuxt, Bubblewrap, TWA, PWA Builder, or Capacitor wrapping. DO NOT TRIGGER WHEN: the task is generic frontend styling (use frontend), React performance (use react-development:review-react), cross-platform security unrelated to PWA (use platform-engineering), Tauri or Electron wrappers (use tauri-development), or GA4 / analytics (use digital-marketing).
defect-taxonomy
by acaprinoComprehensive defect taxonomy knowledge base -- 16 macro-categories, 140+ subcategories of source code defects with CWE/OWASP mappings, detection strategies, fix patterns, and review frameworks. Used by senior-review agents (code-auditor, security-auditor, ui-race-auditor) to enrich analysis with structured defect knowledge.
obsidian-plugin-development
by acaprinoEnsures compliance with Obsidian's automated plugin review (community.obsidian.md), eslint-plugin-obsidianmd rules, and official Obsidian plugin guidelines. TRIGGER WHEN: writing, reviewing, or fixing Obsidian community plugin code DO NOT TRIGGER WHEN: the task is outside the specific scope of this component.
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.