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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movement-activity
by Eir-SpaceBuild a sustainable movement practice with walking, cardio, strength, mobility, balance, recovery, and realistic planning. Use when the user wants to move more, start exercising safely, improve energy, or create a practical activity routine.
water-and-drinks
by Eir-SpaceUnderstand hydration, alcohol, caffeine, tea, sugary drinks, and how beverages affect energy, sleep, mood, and wellbeing. Use when the user wants to improve hydration, drink more mindfully, reduce caffeine or alcohol, or understand how different drinks affect the body.
sleep-upgrade
by Eir-SpaceImprove sleep with evidence-aligned routines, circadian anchors, nervous-system downshift exercises, and a practical sleep plan. Use when the user wants to fall asleep more easily, sleep more deeply, wake up calmer, or build a consistent bedtime routine.
base-personality
by Eir-SpaceCore role and tone for a health agent
swedish-medications
by Eir-SpaceLook up Swedish medication information from FASS (Farmaceutiska Specialiteter i Sverige). Use when users ask about medications, drugs, läkemedel, dosages, side effects (biverkningar), interactions, or need to understand prescriptions in Sweden. Covers all medications approved for use in Sweden.
buy-medication
by Eir-SpaceHelp users find over-the-counter medications they can buy on Apotea, match Apotea products to real Swedish medications via the swedish-medications skill, and compare suitable options without giving prescription, diagnosis, or emergency-care advice. Use when users ask what medicine to buy, which Apotea medication fits a symptom, or whether a product on Apotea is a real medication.
swedish-medications
by Eir-SpaceLook up Swedish medication information from FASS (Farmaceutiska Specialiteter i Sverige). Use when users ask about medications, drugs, läkemedel, dosages, side effects (biverkningar), interactions, or need to understand prescriptions in Sweden. Covers all medications approved for use in Sweden.
cbt-programs
by Eir-SpaceDiscover, recommend, translate, and co-create open-source CBT programs for different health problems. Use when users ask for CBT program suggestions, multilingual program content, program provenance labels (AI-created/human-created/human-reviewed/healthcare-expert-verified), or want to create and publish a new CBT program in the repository.
human-alignment
by Eir-SpaceHelp keep AI conversations grounded, non-sycophantic, and reality-based when the user is excited, emotionally invested, stuck in a rabbit hole, or drifting toward implausible certainty. Use to preserve the user's own judgment, test ideas against evidence, and escalate carefully if the conversation starts showing psychosis-like warning signs.
nutrition-foundations
by Eir-SpaceUnderstand food quality, macronutrients, meal timing, blood sugar, gut health, and sustainable nutrition habits. Use when the user wants to eat better, understand what food does in the body, improve energy, or build a healthier relationship with food without rigid dieting.
habit-tracker
by Eir-SpaceTrack habits, build consistency, review patterns, and recover from missed days without all-or-nothing thinking. Use when the user wants help creating repeatable routines, keeping promises to themselves, or turning goals into small daily actions.
health-actions
by Eir-SpaceSuggest brief, context-aware health actions when a user wants to improve sleep, stress, movement, routines, recovery, or general wellbeing. Use when the user asks what to do next, feels stuck, or shares health context and would benefit from 2-5 specific actions instead of broad advice.
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.