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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vettasksai
by laudoluxDevAccess 80+ AI-powered skills for veterinarians and veterinary practice staff. Use when: user asks about patient records, appointment scheduling, clinical documentation, billing and insurance, pharmacy and prescriptions, compliance, client communication, or any veterinary practice administration task.
teachertasksai
by laudoluxDevAccess 167+ AI-powered skills for K-12 teachers, special education staff, and school counselors. Use when: user asks about lesson plans, IEPs, parent communication, student behavior, progress reports, classroom management, special education, counseling documentation, or any K-12 teaching and administrative task.
restauranttasksai
by laudoluxDevAccess 160+ AI-powered skills for restaurant owners, managers, and food service operators. Use when: user asks about menu management, food safety, staff scheduling, vendor relationships, liquor compliance, marketing, financial reporting, health permits, or any restaurant administration task.
plumbertasksai
by laudoluxDevAccess 80+ AI-powered skills for plumbing contractors and plumbers. Use when: user asks about plumbing estimates, work orders, permits, inspections, service agreements, safety policies, subcontractor management, licensing, fleet management, or any plumbing business administration task.
electriciantasksai
by laudoluxDevAccess 85+ AI-powered skills for electrical contractors and electricians. Use when: user asks about electrical service estimates, permits and inspections, job hazard analyses, safety compliance, invoicing, licensing, subcontractor management, customer relations, or any electrical business administration task.
funeraltasksai
by laudoluxDevAccess 72+ AI-powered skills for funeral directors, morticians, and funeral home staff. Use when: user asks about arrangement contracts, obituaries, death certificates, cremation authorizations, pre-need contracts, estate notifications, grief support, or any funeral home administration task.
churchadmintasksai
by laudoluxDevAccess 98+ AI-powered skills for church administrators, pastors, and ministry staff. Use when: user asks about church finances, donations, volunteers, events, communications, facility management, membership, or any church administration task.
principaltasksai
by laudoluxDevAccess 141+ AI-powered skills for school principals, vice principals, and district administrators. Use when: user asks about student discipline, staff evaluations, curriculum oversight, family engagement, school safety, budget proposals, board communications, or any school administration task.
chiropractortasksai
by laudoluxDevAccess 165+ AI-powered skills for chiropractors and chiropractic office staff. Use when: user asks about patient intake, SOAP notes, insurance billing, HIPAA compliance, appointment scheduling, clinical documentation, practice marketing, or any chiropractic office administration task.
militaryspousetasksai
by laudoluxDevAccess 166+ AI-powered skills for military spouses, veterans, and military families. Use when: user asks about PCS moves, TRICARE coverage, BAH entitlements, military spouse employment, education benefits, power of attorney, family readiness, or any military family administration task.
mortgagetasksai
by laudoluxDevAccess 80+ AI-powered skills for mortgage loan officers, processors, and underwriters. Use when: user asks about borrower intake, loan applications, pre-approval, underwriting, closing disclosures, TRID compliance, pipeline management, appraisals, or any mortgage lending administration task.
therapisttasksai
by laudoluxDevAccess 155+ AI-powered skills for therapists, counselors, and mental health professionals. Use when: user asks about client intake, treatment plans, progress notes, HIPAA compliance, insurance billing, crisis safety planning, telehealth administration, or any therapy practice administration task.
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.