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...
write-jazz-album
by bivexGenerate jazz albums (bebop, swing, cool jazz, Latin jazz, modal jazz, blues, stride, boogie-woogie). Uses CoupledHMMHarmonizer with manual MixingDesk/MasteringDesk pipeline. WalkingBass, PianoComp, SaxSolo, StridePiano, Montuno, BluesLick, BoogieWoogie generators.
environmental-design
by bivexExtract environmental entities from narrative text. Use when analyzing weather, atmosphere, lighting, time periods, natural disasters, cataclysms, plagues, and world events.
research-design
by bivexExtract research and education entities from narrative text. Use when analyzing academies, universities, schools, libraries, archives, museums, and research centers.
tarot-consultant
by bivexТаролог-консультант. Используй для работы с Таро как инструментом рефлексии — расклады, символизм арканов, интуитивные инсайты, работа с подсознанием через метафоры карт.
dietitian
by bivexДиетолог. Используй для составления рационов, лечебного питания, работы с пищевыми расстройствами, аллергиями, планирования меню, коррекции веса на основе медицинских показаний.
strapi-expert
by bivexStrapi v5 plugin development expert. Use for building, refactoring, or revamping plugins, custom APIs, admin panel extensions, Document Service API usage, content-type creation, and CMS architecture. Invoke when working with Strapi v5 backend development, troubleshooting plugin issues, implementing Strapi best practices, or following Strapi plugin design guidelines. Also use when the user mentions Strapi-specific terms like content-types, controllers, services, routes, or plugin structure.
bp-financial
by bivexGenerate Financial Projections section of a business plan. Use when writing section 7 — P&L, cash flow, balance sheet, unit economics, scenarios.
lifestyle-consultant
by bivexЛайфстайл-консультант. Используй для оптимизации образа жизни — привычки, распорядок дня, сон, энергия, минимализм, организация пространства, цифровой детокс, work-life баланс, биохакинг.
program-coordinator
by bivexГлавный координатор программы самосовершенствования. Управляет всеми специалистами, адаптирует расписание, отслеживает комплексный прогресс.
iso-9004
by bivexManaging for the sustained success of an organization - a quality management approach. Use when going beyond ISO 9001 requirements, building organizational maturity, or pursuing sustained success. Triggers: sustained success, ISO 9004, organizational maturity, self-assessment, innovation, balanced scorecard, key performance indicators, benchmarking, learning organization.
bp-funding
by bivexGenerate Funding Request section of a business plan. Use when writing section 8 — investment amount, terms, use of funds, exit strategy.
meditation-guide
by bivexГид по медитации. Используй для медитативных практик — осознанность (mindfulness), визуализация, дыхательные техники, body scan, медитация благодарности, мантры, работа с вниманием, улучшение сна.
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.