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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symptom-assistant
by YunghoSafe symptom assessment and guidance skill. Helps users understand symptoms, track their progression, and determine appropriate care level (self-care, primary care, urgent care, emergency). Does NOT diagnose. Triggers on: symptom, pain, headache, stomach ache, rash, cough, fever, feeling sick, what's wrong, should I see doctor, is this serious.
musculoskeletal-care
by YunghoComprehensive musculoskeletal and orthopedic health management. Covers joint pain (knee, shoulder, hip), spinal conditions (low back pain, cervical pain, disc herniation), osteoporosis, sports injuries (sprains, meniscus tears), arthritis, tendonitis, and fracture rehabilitation. Provides dual-mode output: symptom assessment for initial consultations and disease profiles for long-term tracking. Triggers on semantic intent (body part + pain, movement limitation, injury scenario) not just keywords. Triggers: knee pain, low back pain, neck pain, shoulder pain, osteoporosis, meniscus tear, disc herniation, tendonitis, arthritis, sprain, 膝盖痛, 腰痛, 颈椎痛, 骨质疏松, 半月板损伤, 腱鞘炎, 关节炎.
fitness-coach
by YunghoPersonalized exercise and fitness coaching skill. Creates tailored workout plans, tracks progress, analyzes fitness trends, and provides evidence-based exercise recommendations. Supports cardiovascular fitness, strength training, flexibility, and functional fitness for all ages and abilities. Triggers on: exercise, workout, fitness, training, running, gym, cardio, strength, physical activity, fitness goals.
womens-health
by YunghoComprehensive women's health skill covering menstrual cycle tracking, fertility awareness, pregnancy monitoring, perimenopause/menopause management, and gender-specific preventive care. Triggers on: period, menstrual cycle, fertility, ovulation, pregnancy, menopause, perimenopause, women's health, gynecology, PMS.
vaccination-tracker
by YunghoVaccination and immunization management skill. Tracks vaccine history, schedules future doses, provides regional vaccination recommendations, and prepares travel immunization plans. Triggers on: vaccine, vaccination, immunization, shots, flu shot, travel vaccines, vaccine schedule, booster, immunization record.
vital-monitor
by YunghoComprehensive vital signs monitoring and analysis skill. Tracks blood pressure, heart rate, body temperature, respiratory rate, oxygen saturation, and weight. Provides trend analysis, hypertension staging per ACC/AHA guidelines, early warning detection, and personalized targets. Triggers on: blood pressure, heart rate, temperature, weight, BMI, vitals, BP monitoring, hypertension, vital signs check, my weight, heart check.
family-health
by YunghoFamily health history management and genetic risk assessment. Use when user mentions family medical history, hereditary diseases, family risk factors, parents' health conditions, genetic predisposition, or asks about inherited disease risks. Triggers on: family history, hereditary, genetic risk, family health, parents' conditions, inherited diseases, family disease pattern.
nutrition-advisor
by YunghoEvidence-based nutrition analysis and guidance skill. Tracks dietary intake, evaluates nutritional adequacy against regional RDAs, analyzes eating patterns, and provides personalized meal planning. Supports weight management, chronic disease nutrition (diabetes, hypertension, CKD), and cultural dietary preferences. Triggers on: nutrition, diet, meal plan, eating habits, weight loss, healthy eating, food diary, calories, macros, my diet.
weight-manager
by YunghoComprehensive weight management skill for tracking weight, BMI, body composition, and caloric balance. Supports weight loss, weight gain, and weight maintenance goals. Provides evidence-based strategies, progress monitoring, and plateau-busting techniques. Triggers on: weight, BMI, lose weight, gain weight, weight loss, weight gain, body composition, body fat, caloric balance, calories in calories out, weight plateau, weight management, weight control, ideal weight, target weight.
medication-manager
by YunghoComprehensive medication management skill for tracking prescriptions, monitoring adherence, checking drug interactions, managing refills, and providing medication education. Supports chronic medications, PRN/as-needed drugs, and complex multi-drug regimens. Triggers on: medication, prescription, drug, medicine, pill reminder, refill, interaction, side effect, my meds, when to take, dosage.
emergency-preparedness
by YunghoEmergency health information and preparedness skill. Generates emergency medical cards, travel health kits, and urgent care guidance. Includes travel health risk assessment with destination-specific recommendations for vaccinations, malaria prophylaxis, altitude sickness, and food/water safety. Triggers on: emergency card, travel health, medical ID, emergency info, allergy card, ICE, medical emergency, travel preparation, travel vaccines, destination health, travel risks, malaria, altitude sickness, food safety.
care-coordinator
by YunghoHealthcare coordination and continuity skill. Manages multiple providers, prepares for appointments, tracks referrals, and ensures seamless care transitions. Helps users navigate the healthcare system effectively. Triggers on: doctor appointment, specialist, referral, care coordination, multiple doctors, appointment prep, healthcare team, medical records transfer.
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.