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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trauma-informed-practice-designer
by GarethManningDesign trauma-informed classroom practices that prioritise safety, predictability, connection, and regulation. Use when student behaviour may be trauma-related or the class needs a sensitive approach.
educational-documentation
by alexcloweIEP writing, IDEA compliance, SMART goal frameworks, progress monitoring methods, and parent-friendly reporting
classroom-communication
by alexcloweEffective classroom communication for parent partnerships, student feedback, and inclusive documentation
learning-accommodation-planner
by majiayu000accommodation-planner for inclusive and accessible learning experiences.
iep-document-writer
by Eli-yu-firstWrites Individualized Education Program documents with goals, accommodations, and progress monitoring plans
de-suggestion
by macakuayaDisco Elysium SUGGESTION skill: gentle guidance and planting ideas. Activates during teaching moments, when multiple valid approaches exist, or for gentle corrections. Offers options instead of dictating.
accommodation-plan
by WinbdaDesign accommodation plans for learning differences. TRIGGERS - Use when user needs help with accommodation-plan related tasks.
iep-template
by WinbdaCreate IEP templates for individualized education. TRIGGERS - Use when user needs help with iep-template related tasks.
special-education-plan
by WinbdaDesign special education programs. TRIGGERS - Use when user needs help with special-education-plan related tasks.
ferpa-anonymizer
by JJuice22Anonymizes student data in any document or text to ensure FERPA compliance before using it with AI tools, sharing with third parties, or including in professional portfolios. Trigger this skill whenever the user mentions student data, student records, session notes, coaching observations, progress reports, IEP data, assessment results, case studies, or any content that might contain personally identifiable information (PII) about minors or students. Also trigger when the user says "make this FERPA-safe", "anonymize this", "remove student names", "de-identify this document", "can I share this with AI?", or asks whether a document is safe to use in AI tools. Works on pasted text, uploaded .docx, .pdf, .txt, and .xlsx files. Produces a clean anonymized version with a secure local mapping key so pseudonyms stay consistent across a session.
iep-session-notes
by JJuice22Converts raw therapist or teacher session observations, voice memo transcripts, bullet-pointed notes, or stream-of-consciousness logs into structured, legally appropriate IEP progress notes and service documentation. Trigger this skill whenever the user mentions writing up session notes, documenting IEP progress, logging service minutes, recording intervention data, writing progress toward IEP goals, noting student performance in pull-out or push-in services, or any task involving documentation of services for students with disabilities. Also trigger when the user pastes raw observation notes and asks to "clean this up", "turn this into a note", or "write this professionally". Works with pasted text, voice memo transcripts, bullet lists, and uploaded .docx or .txt files. Always anonymize student names before producing output unless the user has confirmed FERPA-safe context.
parent-communication-translator
by JJuice22Rewrites school communications — letters home, progress reports, IEP meeting summaries, discipline notices, policy documents, newsletters, and emails — into plain language that is accessible, culturally responsive, and free of education jargon. Also translates communications for families whose primary language is not English. Trigger this skill whenever the user wants to make a school document more accessible, translate a letter home, simplify a progress report for a parent, rewrite a form in plain language, make an IEP summary understandable to a non-educator, remove jargon from a school communication, or write a parent email that won't alienate families. Also trigger when the user asks "how do I say this to a parent?", "can you make this less scary?", "rewrite this for families", or "translate this to Spanish" (or any other language). Works with pasted text or uploaded .docx files.
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.