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...
supplement-compliance
by Cleo-Labs-IAUse when selling dietary supplements, vitamins, minerals, botanicals, probiotics, or nutraceuticals in any market, navigating FDA DSHEA, EU 2002/46/EC, novel food applications, structure/function claims, China Blue Hat, Japan FOSHU, or Korea HFF registration
dangerous-goods-transport
by Cleo-Labs-IAUse when shipping hazardous or dangerous goods, classifying products by UN number or hazard class, choosing between air/sea/road/rail transport for a hazardous material, applying IATA DGR or IMDG Code or ADR or 49 CFR rules, determining packing group, completing a dangerous goods declaration, selecting hazmat labels and marks, shipping lithium batteries (UN 3480/3481/3090/3091), aerosols, flammables, corrosives, dry ice, or any substance regulated under the UN Orange Book modal regimes
packaging-compliance
by Cleo-Labs-IAUse when registering for EPR (Extended Producer Responsibility) in EU member states, checking packaging waste obligations, selecting recycling symbols for labels, assessing single-use plastics restrictions, calculating plastic tax liability, or preparing packaging composition declarations
agricultural-compliance
by Cleo-Labs-IAUse when selling fertilizers, pesticides, seeds, plant protection products, biostimulants, organic farming inputs, or agricultural commodities - covers EU CAP, Reg 2019/1009 fertilizers, Reg 1107/2009 pesticides, Reg 2018/848 organic, USDA NOP, JAS, GMO labeling, MRLs, ISPM 15 phytosanitary
baby-children-products-compliance
by Cleo-Labs-IAUse when selling strollers, cots, high chairs, carry cots, baby walkers, bibs, baby bottles, child-care articles, or any product designed for children under 14 in any market - covers EN 1888 (strollers), EN 716 (cots), EN 14988 (high chairs), CPSIA stricter limits, ASTM F963, BPA/BPS bans, phthalates, drawstrings EN 14682
toy-compliance
by Cleo-Labs-IAUse when selling toys, games, puzzles, children's products, or ride-on toys in any market, checking toy safety directives, EN 71 / ASTM F963 testing, age grading, chemical restrictions in toys, CPSIA requirements, or CCC certification for electric toys
optical-eyewear-compliance
by Cleo-Labs-IAUse when selling sunglasses, prescription eyewear, reading glasses, safety glasses, blue-light filters, sports goggles, ski goggles, swim goggles, children's eyewear, VR/AR headsets, or 3D glasses in any market, checking ISO 12312/ANSI Z80.3/ANSI Z87.1 standards, PPE Regulation 2016/425, or FDA 21 CFR 801 sunglass rules
jewelry-compliance
by Cleo-Labs-IAUse when selling jewelry, watches, precious metals, or gemstones in any market, applying hallmarks, navigating nickel/lead/cadmium restrictions, conflict minerals reporting (3TG), Kimberley Process diamond certification, or CITES for ivory/coral/protected materials
responsible-sourcing
by Cleo-Labs-IAUse when dealing with conflict minerals 3TG reporting (EU 2017/821, Dodd-Frank 1502), cobalt or mica due diligence (EMRT), forced-labour screening (UFLPA, EU Forced Labour Regulation 2024/3015), EUDR deforestation due diligence for leather or timber, CITES permits for exotic animal-derived materials, supply-chain due diligence obligations under CSDDD (EU 2024/1760) or German LkSG, or preparing a CMRT or EMRT template for a customer or audit
automotive-aftermarket-compliance
by Cleo-Labs-IAUse when selling automotive aftermarket parts, accessories, electronics, tyres, batteries, brake components, lighting, or retrofit kits in any market - covers UN/ECE regulations, DOT, EU Type Approval 2018/858, REACH 6PPD, EU Battery Regulation, CISPR 25 EMC, road-legal vs racing distinction
evidence-blitz
by Cleo-Labs-IAUse when gathering all compliance evidence for a certification or audit, preparing documentation for retail buyers or marketplace listings, or bulk-collecting product compliance documents
hs-classification
by Cleo-Labs-IAUse when classifying a product under the Harmonized System, assigning an HS / CN / HTS / TN VED code, reconciling tariff nomenclatures across countries, applying the General Rules of Interpretation, requesting a Binding Tariff Information ruling, or resolving a classification that drives duty, dangerous-goods, and restriction outcomes from a part number or product description
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.