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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vibe-breaking-change
by mondaycomImplements Vibe Design System breaking changes with full workflow automation including component updates, migration guide updates, codemod generation, testing, and PR creation. Use when implementing breaking changes to Vibe components that require coordinated updates across the design system.
bulk-data-hygiene
by mondaycomClean and normalize your CRM data in bulk — fix phone formats, fill missing emails, standardize country codes, and flag unowned deals. Unlike board-diagnosis (which reports), this skill acts. Use when someone says "clean my CRM", "fix my data", "normalize my phone numbers", "my emails are wrong", "fill in missing owners", "clean up before my kickoff call", or "fix the data on my board".
workspace-builder
by mondaycomBuild a CRM workspace from scratch — describe your business and get boards, columns, and pipeline stages created in monday. Use when someone says "set up my CRM", "build me a CRM", "create CRM boards for me", "I need a new sales pipeline", "help me get started in monday", "I don't know how to set up my pipeline", or "build me a CRM from scratch". Do not use for questions about an existing board — those belong to morning-briefing or board-diagnosis.
forecast-dashboard
by mondaycomBuild a forecast dashboard in monday — committed, best-case, and pipeline views by close month, rendered as real dashboard widgets. Use when someone says "build me a forecast", "show me Q2 pipeline", "Salesforce-style forecast", "forecast dashboard", "commit vs best-case", "what's our number this quarter", "how are we tracking to quota", "weighted pipeline", "deal rollup", "Clari-style", "pipeline by month", or "what's in commit".
board-diagnosis
by mondaycomStructural audit of a CRM board that surfaces missing data, stalled deals, abandoned columns, and automation gaps as a prioritized doc. Use when someone says "audit my CRM board", "run a board health check", "board is messy", "prep a customer QBR", "clean up before my kickoff", "what are the data gaps on my board", "board health check", or "what's broken in my CRM".
setup
by mondaycomGet started with monday CRM — connect your account and discover which skills work with your existing boards (or build from scratch). Use when someone says "set up monday CRM", "connect my monday account", "monday CRM setup", "get started with monday CRM", "I just installed the monday plugin", "how do I use this", "what can you do with monday", or "help me get started".
morning-briefing
by mondaycomThis skill should be used when a CRM user asks for a daily pipeline overview, wants to know which deals need attention today, says 'catch me up on my deals', 'what deals need attention', 'what's due this week', 'any deals about to close or slip', 'morning briefing', 'pipeline summary', 'daily standup prep', or 'what should I focus on today'. It prioritizes deals by urgency, publishes the brief as a monday artifact, and optionally sends proactive nudges on stalled deals.
meeting-to-opportunity
by mondaycomTurn meeting transcripts into deal updates — key points, commitments, and next steps posted to matching CRM deals automatically. Auto-creates contacts for new attendees. Use when someone says "log my meetings to deals", "update CRM from calls", "what did I commit to in meetings", "sync notetaker", "log this meeting", "I just had a call with [company]", "what did I promise in that meeting", "add notes from today's calls", or "update the deal after my call".
monday-code-init
by mondaycomScaffolds a new monday.com code app with the correct structure, dependencies, and monday-code deployment configuration. Use when user wants to 'create a monday code app', 'scaffold a new app', 'initialize a monday app', 'set up a frontend app', 'set up a backend app', 'create a fullstack monday app', or asks how to get started building on monday-code.
monday-code-migrate
by mondaycomUse when user says 'migrate my app to monday-code', 'convert to monday platform', 'add monday SDK to existing app', 'deploy existing app on monday', 'move my React/Node app to monday-code', or wants to add monday.com integration to an existing frontend, backend, or fullstack app. Migrates the existing project to monday-code platform structure while preserving existing code.
monday-code-ops
by mondaycomDebug, monitor, and operate monday code apps in production. Use when user wants to 'check logs', 'get deployment URL', 'view environment variables', 'get connection string', 'check alerts', 'debug production', 'get app status', 'troubleshoot monday code', or needs help with any production operational task.
vibe-best-practices
by mondaycomEnsures Vibe design system (@vibe/core) components follow best practices and accessibility standards. Use when writing or reviewing UI code in monday.com apps that import from @vibe/core or @vibe/core/next.
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.