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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tim-facebook
by TromboneTimoTim Maines Facebook Page agent. Posts/drafts/schedules to the Tim Maines FB Page via Zernio. Triggered by /tim-social facebook ... or "post on facebook as tim". Do not invoke directly without orchestrator unless user explicitly says "tim facebook".
tim-instagram
by TromboneTimoTim Maines Instagram agent. Drafts/schedules/publishes Reels, carousels, single images to Tim's IG via Zernio. Triggered by /tim-social instagram ... Do not invoke directly without orchestrator unless user explicitly says "tim instagram".
tim-linkedin
by TromboneTimoTim Maines LinkedIn agent. Posts/drafts/schedules to Tim's LinkedIn personal profile via Zernio. Triggered by /tim-social linkedin ... or "post on linkedin as tim". Do not invoke directly without orchestrator unless user explicitly says "tim linkedin".
tim-reddit
by TromboneTimoTim Maines Reddit agent. Drafts/schedules/publishes posts to subreddits via Zernio. Triggered by /tim-social reddit ... Do not invoke directly without orchestrator unless user explicitly says "tim reddit".
tim-social
by TromboneTimoTim Maines social media orchestrator. Routes posting, scheduling, drafting, analytics, and content ideation across LinkedIn, YouTube, TikTok, Instagram, Facebook, Twitter/X, Reddit, and Substack via Zernio (Substack is manual-only). Also extends /blog for transcript-to-blog. Triggers on "/tim-social", "tim social", "post on linkedin as tim", "schedule a tiktok for tim", "draft an instagram", "tweet for tim", "tim x post", "tim twitter", "post on reddit as tim", "tim reddit", "draft a substack", "tim substack", "write a substack note", "log my post", "what's working on tim maines", "tim ideate", "tim analyze", or any explicit reference to the Tim Maines channel + a posting/analytics/research action.
tim-substack
by TromboneTimoTim Maines Substack agent. Drafts long-form newsletter essays, Notes (Twitter-like short-form), paywall splits, and post structures for Tim's Substack. MANUAL-ONLY - Zernio does NOT support Substack posting; this skill produces a draft markdown file in tim-maines/substack/posts/ that Timo copies into the Substack web UI to publish. Triggered by /tim-social substack ... or "draft a substack" or "write a substack note".
tim-tiktok
by TromboneTimoTim Maines TikTok agent. Drafts/schedules/publishes videos to Tim's TikTok via Zernio. Triggered by /tim-social tiktok ... Do not invoke directly without orchestrator unless user explicitly says "tim tiktok".
tim-twitter
by TromboneTimoTim Maines Twitter/X agent. Drafts/schedules/publishes tweets and threads to Tim's X via Zernio. Triggered by /tim-social twitter ... or /tim-social x ... Do not invoke directly without orchestrator unless user explicitly says "tim twitter" or "tim x".
tim-youtube
by TromboneTimoTim Maines YouTube agent. Schedules video uploads / publishes Shorts / drafts community posts to Tim's YouTube channel via Zernio. Triggered by /tim-social youtube ... Do not invoke directly without orchestrator unless user explicitly says "tim youtube".
fb-vault
by TromboneTimoIngest a Facebook ad into the Precision Brass ads database. Saves the creative file (mp4/jpg), ad copy (primary text, headline, description, CTA), performance numbers (spend, impressions, CTR, CPA, ROAS, conversions), audience targeting, and writes a structured analysis citing prospect-psychology.md and voc/personas/ files. Mirrors the structure of yt-vault. Tracks status (winner / flop / unrated, set by Harrison) and sales attribution. Use this skill any time Timo says "store this ad", "store this fb ad", "add to fb vault", "add to facebook ads database", "save this ad to the database", "ingest this facebook ad", or pastes ad copy / a creative file path / a Facebook Ad Library URL with the words winner, flop, sales, ROAS, or CPA attached. Also trigger when the user says "this ad converted N sales", "this ad bombed", "study why this ad worked / flopped". Currently fully manual ingestion. Future Meta Ad Library API hookup is planned (see project_future_todos.md). Always use this skill instead of handcrafting t
music-engraving-polisher-dorico-sibelius
by TromboneTimoAutomatically polishes and re-engraves sheet music scores from Dorico or Sibelius. Prioritizes MusicXML re-engraving with strict professional rules (MuseScore CLI + engraving style presets) for cleaner results than visual detection alone. Falls back to Audiveris OMR when only PDF/image is available. Outputs clean MusicXML, publication-ready PDF, before/after diff report, side-by-side comparison PDF, and Dorico/Sibelius Engrave-mode step-by-step instructions. Use this skill whenever the user uploads a score (MusicXML, MXL, PDF, or image), mentions engraving errors, collisions, polishing, proofreading, publisher-ready output, or says "clean up this score," "make this score publisher-ready," "re-engrave this," "fix the engraving," or "polish this score." Also use when the user exports from Dorico or Sibelius and wants their score to look professional.
DEPRECATED 2026-06-10. Do NOT use for drafting Precision Brass emails. The legacy /email Precision Brass Email System is retired; its data files (voice-bank.md, voice-spec.md, harrison-real-voice.md, the precision-brass-emails project) are deleted and it predates every modern gate. Use /pb-email (idea batch) and /pb-email-write (single approved idea to full draft) instead. Unique legacy rules (anti-hallucination protocol, prospect-vs-student name rosters, Richard-email conversion lessons 7a-7g) are preserved at ~/.claude/skills/pb-email/references/legacy-anti-hallucination-rules.md.
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.