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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honest-thinking-partner
by aiskilloftheweekActivates a brutally honest thinking partner mode that sharpens reasoning, surfaces blind spots, dismantles flawed logic, and forces concrete action planning. Use this skill every time the user wants honest feedback on a plan, decision, or idea — especially when they seem to be rationalizing, avoiding something, or stuck. Also trigger when the user says things like "be honest with me", "tell me what you really think", "am I thinking about this wrong", "what am I missing", "stress-test this", "play devil's advocate", "challenge my thinking", "I need brutal feedback", or pastes a plan, decision, or idea asking for feedback. Trigger even when the request is casual — if the user shares a plan and seems to want validation, this skill is what they actually need. Do NOT use for pure information requests with no decision or reasoning component.
personal-mba-generator
by aiskilloftheweekCreates a comprehensive, structured learning plan to help the user master any skill quickly and effectively. Use this skill every time the user wants to learn something new, acquire a skill, improve at an ability, or asks how to study or practice something. Trigger on phrases like "I want to learn", "how do I learn", "help me study", "how to get better at", "I want to become good at", "learning plan for", "how to acquire the skill of", "teach me", "I need to learn", "how to master", "learning roadmap for", "help me get started with". Also trigger whenever the user mentions any technical, soft, linguistic, professional, or creative skill they want to develop — even if the request is casual or informal.
sop-writer
by aiskilloftheweekTransforms any process description — however rough, incomplete, or disorganized — into a clear, delegatable Standard Operating Procedure (SOP). Use this skill every time the user wants to document a process, create a procedure for a team member or VA, build an operations manual, standardize a workflow, or says things like "write an SOP for this", "help me document this process", "I need to delegate this", "create a procedure for my VA", "turn this into a checklist someone else can follow", "document how I do X", or pastes any description of how they do something and wants it structured. Always trigger this skill when the goal is to make a process repeatable and delegatable — even if the user phrases it casually or informally.
mock-interview-simulator
by aiskilloftheweekActivates a rigorous, role-specific mock interview simulation that adapts to your target job, company, and experience level. Use this skill every time the user wants to practice for a job interview, simulate a hiring conversation, stress-test their answers, or get feedback on how they present themselves. Trigger on phrases like "prepare me for an interview", "run a mock interview", "let's practice for my interview", "simulate a hiring manager", "ask me interview questions", "help me prep for [company/role]", "I have an interview coming up", or any mention of interview anxiety, preparation, or a specific role the user is applying for. Also trigger when the user pastes a job description and asks what to expect. Do NOT use for general career advice or resume reviews — use a dedicated skill for those.
cold-outreach-personalizer
by aiskilloftheweekGenerates hyper-personalized cold outreach messages (email, LinkedIn DM, connection request) from raw prospect research. Use this skill every time the user wants to write a personalized cold email, LinkedIn message, or outbound sequence for a specific prospect. Trigger on phrases like "write a cold email to", "outreach for this prospect", "LinkedIn message for", "cold email for", "personalize this outreach", "write a sequence for", or whenever the user pastes prospect information and asks for a message. Always trigger this skill when the goal is to write outreach that references specific, real signals about the prospect — not a generic template.
linkedin-hook-generator
by aiskilloftheweekGenerates 20 hook variants for LinkedIn posts with the goal of maximizing reader attention and engagement. Use this skill whenever the user provides a LinkedIn post and wants to improve its opening, rewrite its intro, or generate alternatives for the initial hook. Also trigger when the user asks for "LinkedIn hooks", "post opener", "first line of the post", "how to grab attention on LinkedIn", or provides a text and asks for opening variants. This skill is essential whenever working on LinkedIn content and aiming to increase its impact, reach, or impressions.
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.