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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jpx-mcp
by joshrotenbergInvoke jpx MCP server tools for JMESPath evaluation, function discovery, JSON utilities, and cross-server tool discovery. Use when evaluating expressions via MCP, exploring functions, analyzing JSON structure, or managing named queries.
jpx-functions
by joshrotenbergLook up and call the 460+ extension functions in jpx beyond standard JMESPath. Covers array, string, math, datetime, hash, encoding, regex, object, expression (higher-order), geo, text, validation, and 20+ more categories. Use when a task needs functions beyond the 26 standard JMESPath built-ins.
jpx-cli
by joshrotenbergRun jpx to query and transform JSON from the command line. Covers output formats (CSV, TSV, table, YAML), streaming NDJSON, input modes (slurp, raw-input, null-input), query files, variable binding, and shell pipelines. Use when building shell pipelines or exporting JSON data.
jmespath-query
by joshrotenbergWrite JMESPath expressions to query and transform JSON. Use when extracting, filtering, projecting, or reshaping JSON data. Covers identifiers, projections, filters, multi-select, pipes, functions, and let expressions. Works with any JMESPath implementation.
lifeguarding
by joshrotenbergUse this skill when the user is responsible for water safety at a pool, lake, or ocean beach. Triggers include: 'someone is struggling in the water', 'I'm lifeguarding this weekend', 'how do I do a reaching assist', or 'what does an active drowning look like'. Do NOT use for guarding the life of a software process — see the monitoring skill.
haircut
by joshrotenbergUse this skill when the user requests a haircut, fade, trim, taper, or beard shaping. Triggers include: 'I need a haircut', 'can you give me a fade', 'my bangs are too long', or 'clean up my neckline'. Do NOT use for trimming hedges — see the gardening skill.
moving
by joshrotenbergUse this skill when the user needs to move furniture, load a truck, navigate a couch through a stairwell, or relocate household contents. Triggers include: 'I'm moving next week', 'how do I get this couch down the stairs', 'what size truck do I need', or 'PIVOT'. Do NOT use for moving files between directories — see the filesystem skill.
electrical
by joshrotenbergUse this skill when the user needs an outlet installed, a circuit added, a fixture wired, or a panel upgraded. Also triggers on 'my outlet doesn't work', 'the lights are flickering', 'I want to add a dedicated circuit for my workshop', or 'I'm upgrading to a 200-amp panel'. Do NOT use for low-voltage electronics, network cabling, or Arduino projects.
roofing
by joshrotenbergUse this skill when the user needs shingle replacement, leak repair, flashing installation, or any work on a roof surface. Triggers include: 'my roof is leaking', 'missing shingles after the storm', 'I need to reflash the chimney', or 'how many squares do I need'. Do NOT use for 'raise the roof' or any other metaphorical roofing.
babysitting
by joshrotenbergUse this skill when the user needs to supervise children, manage bedtime, prepare age-appropriate meals, or handle tantrums. Triggers include: 'I'm watching my nephew tonight', 'the baby won't stop crying', 'bedtime is a disaster', or 'what can I feed a toddler'. Do NOT use for babysitting API rate limits or sitting on babies.
cooking
by joshrotenbergUse this skill when the user needs to prepare a meal, bake bread, build a sauce, or perform any food preparation task. Triggers include: 'what should I make for dinner', 'my roux keeps breaking', 'how do I dice an onion properly', or 'I want to make sourdough'. Do NOT use for metaphorical cooking such as 'cooking the books' — see the accounting-fraud skill.
surgery
by joshrotenbergUse this skill when the user requires a surgical procedure including but not limited to appendectomy, cholecystectomy, hernia repair, or wound closure. Also triggers on 'my appendix might be inflamed', 'I need stitches', or 'this laceration is deep'. Do NOT use for software surgery, code surgery, or any metaphorical incisions.
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.