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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cleo-derm-consult
by EdgarSPHBotConduct a structured dermatology consult from a skin/rash image. Triggered by messages like "what is this rash?", "can you look at this skin condition?", "I have a rash photo", "skin consult", "dermatology question", or any time a user shares an image of a skin finding and asks for clinical assessment. Follows an iterative history-gathering workflow, builds a differential diagnosis, suggests workup, and optionally links to ICD-10 codes or drug treatments. Always caveats as non-diagnostic and recommends clinician evaluation.
cleo-prescription-reader
by EdgarSPHBotRead and extract information from prescription label images. Triggered by "read this prescription", "what does this label say?", "Cleo, read this Rx", or any request to interpret a prescription label photo. Extracts NDC, drug name, directions, prescriber, pharmacy, and other details, then optionally runs an FDB lookup on the NDC.
cleo-ddi-check
by EdgarSPHBotCheck drug-drug interactions (DDI) between two or more medications using FDB data. Triggered by questions like 'do X and Y interact?', 'is it safe to take A with B?', 'check interactions for these drugs', 'what are the interactions between drug1 and drug2?', or any multi-drug safety question. Returns severity level, monograph title, mechanism, clinical effects, and patient management guidance.
cleo-drug-search
by EdgarSPHBotSearch drugs by name. Triggered by "Cleo, search for metformin", "find drug lipitor", "look up amoxicillin", or any drug name query that isn't a specific MEDID/NDC/code lookup. Returns matching products grouped by brand/generic family with strengths, MEDIDs, therapeutic class, and FDB hierarchy IDs.
cleo-etc-lookup
by EdgarSPHBotBrowse and search FDB Enhanced Therapeutic Classification (ETC). Triggered by questions like "what is the ETC for statins?", "Cleo, therapeutic class for atorvastatin", "show me cardiovascular drug classes", "browse ETC", "what drugs are in class 2747?", or any request about therapeutic drug classification. Supports name search, class drill-down, and hierarchy browsing.
cleo-medid-lookup
by EdgarSPHBotLook up FDB MEDIDs. Triggered by questions like "what is MEDID 181235?", "Cleo, MEDID lookup 158585", or any request referencing an FDB Med ID. Returns full drug description, brand/generic, strength, dose form, route, ingredient, generic equivalent, FDB hierarchy IDs, therapeutic classes, indications, equivalent products (same GCN), NDC samples, and optionally a pill image.
cleo-ndc-lookup
by EdgarSPHBotLook up National Drug Codes (NDC) against FDB data. Triggered by questions like "what is NDC X?", "look up NDC 00069-3150-83", "Cleo, NDC lookup", or any request to identify a drug by its NDC number. Returns drug name, strength, form, route, therapeutic class, and indications.
cleo-reverse-indication
by EdgarSPHBotFind drugs that treat a condition. Triggered by "what treats hypertension?", "Cleo, drugs for diabetes", "what medications are indicated for migraines?", or any "what treats X?" question. Searches FDB diagnosis descriptions and returns indicated drugs grouped by labeled/off-label with therapeutic classes.
cleo-route-search
by EdgarSPHBotSearch for drug routes and dose forms by name. Triggered by "what are the routes for Lipitor?", "Cleo, how is amphotericin administered?", "what forms does metformin come in?", or any question about drug routes, administration, or available dose forms. Returns all routed meds matching the name with routes, dose forms, and products.
cleo-routed-med-lookup
by EdgarSPHBotLook up FDB Routed Med IDs. Triggered by questions like "what is routed med 3330?", "Cleo, routed med ID 3330", "look up RMID 3330", or any request referencing an FDB routed med identifier. Returns drug name, route, dose forms, available strengths/products, therapeutic classes, ingredients, indications, and NDC count.
cleo-side-effects
by EdgarSPHBotLook up side effects and contraindications for a drug. Triggered by "what are the side effects of Lipitor?", "Cleo, contraindications for metformin", "is atorvastatin safe in pregnancy?", or any safety/adverse-effect question. Returns side effects (with severity and frequency) and contraindications (with severity and PI references).
cleo-upc-lookup
by EdgarSPHBotConvert UPC barcodes to NDC and look up drug info. Triggered by "look up UPC 041100806024", "what drug is this barcode?", "Cleo, UPC lookup", or any request involving a UPC/barcode for a drug product. Also handles barcode images — extract the number using vision, then run the lookup. Returns the matched NDC, drug name, strength, form, route, therapeutic class, and indications.
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.