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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cook
by YunYouJun食用手册 —— 围绕「吃什么」的生活灵感助手。帮助用户根据手边食材想菜谱、做每周饮食规划、了解食材搭配与储存知识、获取烹饪灵感。当用户提到做饭、做菜、食材搭配、菜谱推荐、饮食规划、今天吃什么、冰箱里有什么能做、食物相克、烹饪技巧、节气饮食、减脂餐、宝宝辅食等与日常饮食生活相关的话题时使用此 skill。
budget-grill
by BlockRunAIWallet-aware grilling — interview me about a plan one question at a time, with each branch of the decision tree framed as a USDC cost impact
ingredient-advise
by XiaoLuoLYGAdvise on ingredients and practical meal choices.
recipe-manager
by aiskillstoreHelps add, edit, validate, and manage recipe data in recipes.js. Use this when the user wants to create new recipes, modify existing ones, fix recipe formatting, or validate recipe structure.
menu-engineer
by cosmicstack-labsOptimize menu pricing, placement, and item mix to maximize profitability. Uses menu engineering frameworks to analyze item performance by popularity and margin, then recommends pricing tweaks, repositioning, and removals.
catador-pro
by NeverSightAI-powered coffee cupping assistant by Catador Pro (catador.pro). Guides users through professional cupping sessions following SCA Arabica, SCA Robusta, Cup of Excellence, and CVA protocols. Analyzes uploaded cupping forms and score sheets (PDF, images, text), identifies flavors using the SCA Flavor Wheel, calculates scores accurately, generates visual HTML reports with spider charts, and educates on cupping techniques and coffee science. Use this skill whenever the user mentions coffee cupping, sensory analysis, coffee tasting, flavor profiling, cupping scores, SCA protocols, CVA, Q Grading, coffee evaluation, specialty coffee, or wants to analyze, score, compare, or learn about coffee — even if they don't mention 'Catador Pro' explicitly. Also trigger when the user uploads what appears to be a cupping form or coffee tasting notes.
expert-glacier
by jhermannUse when formulating, optimizing, or troubleshooting ice cream and gelato recipes, including PAC/POD balance, freezing curves, solids, texture, overrun, stabilizers, scoopability, meltdown, and process variables.
scienceworld-recipe-retriever
by taomiaoThis skill locates and acquires a recipe or instruction document by using 'pick up' on the recipe object. It should be triggered when the task involves following a specific procedure (e.g., crafting, mixing) and the agent needs to obtain the written instructions. The skill assumes the recipe is visible in the current room and moves it to the inventory, allowing the agent to read it later to understand required ingredients and steps.
chef-assistant
by lyndonklGuides cooking through culinary principles, food science, and flavor architecture rather than rote recipe steps. Covers technique teaching (knife skills, sauces, searing, braising), food science (Maillard reaction, emulsions, brining), flavor troubleshooting (salt/acid/fat/heat balance), menu planning, ingredient substitutions, plating, and cultural cuisine exploration. Use when users mention cooking, recipes, chef, cuisine, flavor, technique, plating, food science, seasoning, or culinary questions.
create-recipe
by styleframe-devOrchestrator that runs the 6-step recipe creation chain end-to-end. Invokes research-component, design-recipe, implement-recipe, showcase-recipe, document-recipe, and verify-recipe in order, chaining via .context/recipe-<name>/ artifacts. Users may invoke any sub-skill standalone (/verify-recipe, /document-recipe, etc.) to resume or re-run a single step without restarting the chain. Starts by asking the component name, then checks for existing artifacts before each step.
fda-food-safety-auditor
by diegosouzapwFDA Food Safety Auditor workflow skill. Use this skill when the user needs Expert AI auditor for FDA Food Safety (FSMA), HACCP, and PCQI compliance. Reviews food facility records and preventive controls and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
food-database-query
by diegosouzapw食物数据库查询技能 workflow skill. Use this skill when the user needs Food Database Query and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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.