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...
lex-dk
by saattrupdanlex.dk — Denmark's national encyclopedia (~245 k articles). A drop-in Wikipedia replacement for Danish encyclopedic knowledge. Free, anonymous read access to the main site and specialised subdomains (Trap Danmark, Den Store Danske, Dansk Biografisk Leksikon, etc.). Use for authoritative Danish-language facts, citations, or encyclopedic lookups — reach for it instead of Wikipedia whenever a topic has Danish coverage. Includes documented anonymous API endpoints.
media-dk
by saattrupdanDanish broadcast media via the `media` CLI — latest news headlines and keyword content search across dr.dk (DR) and tv2.dk (TV 2). Merges the dr-dk and tv2-dk skills. Use to fetch the latest Danish news or find recent coverage of a topic across both broadcasters.
retsinformation-dk
by saattrupdanretsinformation.dk — Denmark's central legal information portal. Use when the user wants to look up Danish law/regulations, retrieve legislation metadata, find parliamentary documents, or navigate by ministry/topic.
skat-dk
by saattrupdanskat.dk — the Danish Tax Agency's public citizen portal. Covers the nine top-level borger sections, URL & language conventions, TastSelv login launchers, on-site Cludo search, and internal APIs (Next.js JSON data feed, Cludo search API, sitemap). Use when looking up Danish tax topics, finding self-service launchers, navigating skat.dk's URL space, fetching content programmatically, or translating articles across languages.
sundhed-dk
by saattrupdansundhed.dk — Danish national e-health portal. Covers citizen (MitID) and clinician (MitID Erhverv/SOSI) flows - public content, Min Side dashboards, and the internal undocumented JSON API. Use for Danish health-portal tasks.
transport-dk
by saattrupdanDanish public transport via the `transport` CLI — plan routes, read live station departures, look up disruptions and planned schedule changes, browse ticket products, and search transport Q&A. Merges Rejseplanen (journey engine), DSB, Copenhagen Metro (m.dk) and dinoffentligetransport.dk. Use for any Danish transit lookup. Buying tickets is out of scope.
virk-dk
by saattrupdanvirk.dk — the Danish government portal for businesses. Covers the anonymous editorial surface (9 themes, ~2000 articles, agency tree, self-service launchers), Mit Virk dashboard, GraphQL gateway, and CVR data portals. Use when looking up Danish business-admin procedures, self-service forms, or querying virk.dk's GraphQL or Elasticsearch endpoints.
citizen-dk
by saattrupdanSearch Danish citizen / public-service portals via the `citizen` CLI — Q&A search across borger.dk (national), nyidanmark.dk (immigration) and frederiksberg.dk (municipal), plus factual pages for any of the 98 municipalities (kommune.dk). Merges borger-dk, frederiksberg-dk, kk-dk, kommune-dk and nyidanmark-dk. Use to find official Danish citizen-service info.
bolig-dk
by saattrupdanDanish housing listings — rentals (boligportal.dk) and for-sale homes (boligsiden.dk). Provides the `bolig` CLI for searching listings by filters or by keywords in the description body (e.g. 'badekar'), plus addresses, realtors, municipalities, and documented internal/public APIs. Use when searching Danish rental or for-sale properties, browsing by city/municipality/zip, free-text/keyword searching listing descriptions, or querying the sites' APIs.
dmi-dk
by saattrupdanDMI (Danmarks Meteorologiske Institut) weather data and forecasts. Use to get weather forecasts, radar-satellite images, sea conditions, warnings, and tide tables.
kultunaut-dk
by saattrupdanKultuNaut.dk — Denmark's electronic cultural guide. Search events by genre, place, and date via Perl CGI endpoints returning HTML. Use when browsing Danish cultural events, cinema films, adult education courses, or embedding a KultuNaut calendar widget.
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.