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...
printful-beechfield-b682-embroidery-corduroy-hat
by lroy-stackComplete pipeline for Beechfield B682 (catalog 532) embroidered corduroy hat on Printful. Covers embroidery product creation with 4 placements (front, back, left, right), thread color selection, variant management, mockup generation, and Supabase integration. Use when creating embroidered Beechfield B682 corduroy hat products, generating mockups, updating branding, or managing corduroy hat headwear. 4 colors (Black, Camel, Dark Olive, Oxford Navy) — EU Latvia fulfillment. Options: unlimited_color +3.25EUR. Premium corduroy material.
printful-beechfield-b682-dtfilm-production
by lroy-stackComplete pipeline for Beechfield B682 Corduroy Hat (catalog 532) with DTFlex/DTFilm technique on Printful. Covers product creation, variant management, DTFilm design placement, mockup generation, and Supabase integration. Use when creating DTFlex corduroy hat products, DTFilm hats, direct to film hats, full color hats, gradient hats, photo hats, corduroy caps, or managing corduroy hat products with dtf printing.
printful-g18600-zip-hoodie-production
by lroy-stackComplete pipeline for Gildan 18600 (catalog 692) zip hoodies on Printful. Covers product creation, variant management, branding placement, mockup generation, and Supabase integration. Use when creating G18600 zip hoodie products, generating mockups, updating branding, or managing zip hoodie products. ONLY zip hoodie with EU fulfillment.
printful-yupoong-6089m-embroidery-wool-blend-snapback
by lroy-stackComplete pipeline for Yupoong 6089M (catalog 99) embroidered wool blend snapback on Printful. Covers embroidery product creation with 5 placements (front, front_large, back, left, right), thread color selection, variant management, mockup generation, and Supabase integration. Use when creating embroidered Yupoong 6089M snapback products, generating mockups, updating branding, or managing snapback headwear. 18 colors (21 variants) including two-tone combinations — EU Latvia fulfillment. Options: unlimited_color +3.25EUR, 3D puff +1.50EUR.
printful-sol-s-03568-eco-raglan-hoodie-dtg
by lroy-stackComplete pipeline for SOL'S 03568 Eco Raglan Hoodie (catalog 543) DTG products on Printful. Covers product creation, variant management, branding placement (front, back, sleeve_left, sleeve_right), mockup generation, and Supabase integration. Use when creating DTG raglan hoodie products, generating mockups, updating branding, or managing eco raglan hoodies. 6 colors (Black, Bottle Green, Burgundy, Burnt Orange, Charcoal Melange, White), 42 variants, XS-3XL, EU Latvia fulfillment.
printful-sol-s-03574-comet-organic-sweatshirt-dtg
by lroy-stackComplete pipeline for SOL'S 03574 Comet Organic Sweatshirt (catalog 506) DTG products on Printful. Covers product creation, variant management, branding placement (front, back, sleeve_left, sleeve_right, label_outside), mockup generation, and Supabase integration. Use when creating DTG organic sweatshirt products, generating mockups, updating branding, or managing organic crewneck sweatshirts. 8 colors, XS-XXL (6 sizes), EU Latvia fulfillment.
printful-sol-s-03574-embroidery-sweatshirt
by lroy-stackComplete pipeline for SOL'S 03574 Comet Organic Sweatshirt (catalog 506) with EMBROIDERY technique on Printful. Covers embroidery product creation with 4 placements (chest_center/chest_left MUTUALLY EXCLUSIVE + wrist_left + wrist_right), thread color selection, variant management, mockup generation, and Supabase integration. Use when creating embroidered sweatshirt products, premium branded crewnecks, or managing SOL'S 03574 embroidery products. 8 colors, XS-XXL (6 sizes), EU fulfillment from Latvia.
printful-sol-s-03567-organic-raglan-sweatshirt-dtg
by lroy-stackComplete pipeline for SOL'S 03567 Organic Raglan Sweatshirt (catalog 582) DTG products on Printful. Covers product creation, variant management, branding placement (front, back, sleeve_left, sleeve_right), mockup generation, and Supabase integration. Use when creating DTG organic raglan sweatshirts, generating mockups, updating branding, or managing organic raglan crewneck sweatshirts. 6 colors (Black, Bottle Green, Burgundy, Burnt Orange, Charcoal Melange, White), 41 variants, XS-3XL, EU Latvia fulfillment.
printful-sol-s-03574-dtfilm-sweatshirt
by lroy-stackComplete pipeline for SOL'S 03574 Comet Organic Sweatshirt (catalog 506) with DTFilm/DTFlex technique on Printful. Covers product creation, variant management, DTFilm design placement, mockup generation, and Supabase integration. Use when creating DTFilm sweatshirt products, full-color printed sweatshirts, gradient sweatshirts, or managing SOL'S 03574 products with dtfilm printing. 8 colors, XS-XXL (6 sizes), EU fulfillment from Latvia.
printful-aop-utility-backpack-production
by lroy-stackComplete pipeline for AOP Utility Backpack (catalog 963) on Printful. CUT-SEW all-over sublimation on 100% polyester at 216 DPI (NOT standard 150 DPI!). 4 placements (front, top, bottom, label_inside). Available in Black AND White — the ONLY AOP product with 2 color options. Use when creating AOP utility backpack products, designing all-over-print utility backpacks, generating backpack mockups, or managing high-DPI AOP accessories. Covers multi-panel design, variant management, mockup generation, and Supabase integration.
printful-sol-s-03567-embroidery-sweatshirt
by lroy-stackComplete pipeline for SOL'S 03567 Organic Raglan Sweatshirt (catalog 582) with EMBROIDERY technique on Printful. Covers embroidery product creation with 4 placements (chest_center/chest_left MUTUALLY EXCLUSIVE + wrist_left + wrist_right), thread color selection, variant management, mockup generation, and Supabase integration. Use when creating embroidered raglan crewneck sweatshirts, premium branded crewnecks, or managing SOL'S 03567 embroidery products. 6 colors (Black, Bottle Green, Burgundy, Burnt Orange, Charcoal Melange, White), 41 variants, EU fulfillment from Latvia.
printful-cc1717-production
by lroy-stackComplete pipeline for Comfort Colors 1717 (catalog 586) SIGNATURE t-shirts on Printful. Covers product creation, variant management, branding placement, mockup generation, and Supabase integration. Use when creating CC1717 products, generating mockups, updating branding, or managing SIGNATURE tier t-shirts.
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.