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.
Querying local SQLite index...
mb-site
by noontide-coTriage and build any site shape -- lander (1 page), minisite (~4 pages), or full website -- and graduate between them. Also writes owned-surface sales videos/VSLs, about-page videos, landing-page videos, and embedded pitch scripts. Routes to per-shape build flow, reads from business context files, deploys to Cloudflare Pages with git auto-deploy. Use when: (1) Operator says 'I want a site' / 'I want a lander' / 'spin up a one-pager' (2) Setting up a new site of any shape from offer + audience material (3) Updating / iterating on an existing site (4) Graduating a site to a new shape (lander -> minisite -> website -> website + CMS) (5) Writing a sales video, VSL, about-page video, landing-page video, or embedded pitch script for an owned conversion surface (6) Previewing or publishing changes Triggered by: /mb-site, 'build a site', 'landing page', 'lander', 'minisite', 'website', 'I need a site', 'spin up a site', 'put this online', 'publish site', 'deploy site', 'update my site', 'graduate my site', 'add a CMS
mb-ads
by noontide-coCreate and review ads, and prepare provider-safe launch plans/checks. Flexible entry points: full pipeline (copy + images), copy only, images only, creative variations (hook library), video scripts, long-form video ads/VSL-style paid creative, video repurpose, compliance review, launch-plan, check, or optional Meta ad account check. Use when asked to create ads, ad copy, image prompts, video ad scripts, paid sales videos, creative variations, review ads, plan paid traffic, or check launch performance. Say /mb-ads or describe what you need.
mb-bet
by noontide-coOpen, update, close, list, and narrate Main Branch business bets from repo truth. Use when the operator wants to frame an operating bet, track progress, capture a verdict, or draft public-safe narration.
mb-end
by noontide-coSession-closing skill that helps users wrap up intentionally. Use when: user says done, wrapping up, end my day, closing out, call it a day, goodnight, that's it for today, checkpoint, pause. Bookend to /mb-start. Scans git activity, surfaces what happened, spawns a crystallize agent for deep analysis, offers to save an approved checkpoint, and closes with a brief summary. Works for end-of-day, end-of-research-batch, end-of-decision-sprint, or mid-work checkpoints.
mb-help
by noontide-coAnswer questions about Main Branch and Claude Code. Use when: user asks how/what/why questions, is confused about the business folder, CLI, skills, setup, errors, workflow, or what to do next.
mb-organic
by noontide-coCREATE organic content scripts (Reels, TikTok, carousels, static posts) and repurpose sales videos/VSLs into short clips or creator-style excerpts. Use when user wants to GENERATE new scripts from concepts or make short clips from a sales video. NOT for research/mining competitor content - that's /mb-think. NOT for paid ads - use /mb-ads instead. Modes: video, carousel, static, sales-video repurpose. If user says "mine", "scrape", "research competitors" → route to /mb-think.
mb-setup
by noontide-coBootstrap a new business folder with Main Branch structure, or migrate an existing single-offer folder to multi-offer. Use when: (1) New user needs Claude Code environment configured (2) User says "set up", "get started", "initialize", "bootstrap", "create my repo", "new business" (3) User is new to Main Branch and needs full onboarding (4) Migrating existing business context into the Main Branch structure (5) User wants to add a second offer to an existing repo. Creates CLI and skill wiring, a business folder with full structure, and bounded context until core files are useful. Applies business setup patterns. Teaches concepts during setup.
mb-skill-brief-draft
by noontide-coCompose a site brief from offer.md + audience.md + voice.md + research files + the operator's dial / archetype picks. Used by /mb-site as the brief-drafting step. Loadable independently for /mb-ads, /mb-organic, or sales-video workflows if they want to share the same brief shape.
mb-skill-concept
by noontide-coGenerate N concept variations of a site / asset on localhost in parallel, foreground subagents. Default 2. Operator picks one to publish. Used by /mb-site as the concept-generation step.
mb-skill-review
by noontide-coRun dial-gated Seven Sweeps + auxiliary gates against a brief or copy draft. Returns synthesized findings to the operator. Used by /mb-site at pre-lock and pre-publish moments. Reusable by /mb-ads and sales-video workflows.
mb-start
by noontide-coMain Branch business router. Detects repo facts, save/sync state, updates, readiness, and live operator intent, then routes to the right skill or CLI contract. Use when the user starts/returns, asks what to do, needs setup, bookkeeping/books, provider setup, save/checkpoint/sync help, repair/update guidance, launch routing, or help.
mb-status
by noontide-coThin Main Branch status wrapper. Use when the operator asks what changed, what is healthy, what is stale, what to do next, or wants a daily briefing inside Claude Code.
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.