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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yt-dlp
by exiaoDownload audio/video from YouTube and other sites using yt-dlp. Use when the user asks to download music, songs, albums, podcasts, or video from YouTube or similar platforms. Triggers on 'download song', 'get mp3', 'yt-dlp', 'youtube download', 'rip audio'.
yc-office-hours
by exiaoProduct discovery via YC-style forcing questions and 10-star product thinking. Use when starting a new feature, evaluating a product idea, or reframing a request into its most ambitious version.
copilot-money-cli
by exiaoUse when querying Copilot Money for finances, transactions, net worth, and holdings.
clipify
by exiaoFind the funniest moments in a video, cut them as standalone clips, optionally reformat 16:9 → 9:16 (face-pan or split-screen), and burn opus-style word-by-word captions. Use when the user mentions "clipify," "cut clips from this video," "make shorts from this," "find funny moments," "reframe to 9:16," "vertical clips," or pastes a video file path and wants social-ready cuts.
adversarial-ux-test
by exiaoRoleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues only. Use when: adversarial UX test, stress-test the UX, find UX pain points, roleplay a difficult user, hostile user testing.
ascii-art
by exiaoGenerate ASCII art and text banners using pyfiglet, cowsay, boxes, toilet, and image-to-ASCII converters. Use when: make ASCII art, ASCII banner, figlet text, cowsay, box around text, convert image to ASCII, ASCII logo, QR code as ASCII, weather ASCII art.
video-script
by exiaoGenerate structured scene-by-scene video scripts with production metadata (visuals, audio, sources, transitions, captions) ready to feed into the video-production pipeline (Sora, Kling, ElevenLabs, InfiniteTalk, Remotion, stock-footage, video-editor). Use when asked to "write a video script", "script for TikTok", "video outline", "plan a video", "storyboard", "scene breakdown", "video concept", "content brief for video", "shooting script", or whenever the video-production pipeline needs a structured script before production begins. Also trigger for "Reels script", "Shorts script", "YouTube script", "video idea with scenes", or any request that implies breaking a video concept into timed scenes with production directions.
xcode-build
by exiaoBuild, archive, and export iOS/macOS apps with xcodebuild before uploading to App Store Connect. Use when you need to create an IPA or PKG for upload.
youtube-title-creator
by exiaoGenerate high-CTR YouTube titles and thumbnail concepts using 119 proven frameworks ranked by performance score. Use when creating YouTube titles, optimizing video titles for CTR, generating thumbnail text, A/B testing title variations, or pairing titles with complementary thumbnails. Covers framework fitting method, universalization strategy, complementarity principle, and psychological trigger analysis.
youtube-scriptwriting
by exiaoWrite retention-optimized long-form YouTube scripts through a checkpoint workflow (research, hook, structure, body, editing). Use when asked to "write a YouTube script", "YouTube video outline", "long-form video script", "improve video retention", "structure a YouTube video", or when turning raw ideas/transcripts/notes into a compelling video script. Covers hook formats, 7 story structures, rehook techniques, editing audits, and outro binge loops.
higgsfield-generate
by exiaoGenerate images/videos via Higgsfield AI. Models: GPT Image 2, Nano Banana 2/Pro, Soul V2/Cinema/Cast/Location, Seedance 2.0, Veo 3.1, Kling 3.0, Flux 2, Z Image, Hailuo; plus Marketing Studio ads with avatars/products/hooks/settings. Use when: "generate an image", "make a picture", "make a video", "animate this photo", "image-to-video", "edit/stylize/remix this image", "produce a clip", "create an ad", "make a UGC video", "product demo", "unboxing", "TV spot", "brand video", "presenter video", "import product from URL", "create avatar for ad". Supports text-to-image, image-to-image, image-to-video, reference-based generation, and Marketing Studio. Auto-detects upload IDs vs previous job IDs. Chain with higgsfield-soul-id when the user wants face/identity consistency. NOT for: training Soul Character (use higgsfield-soul-id), product photoshoots (use higgsfield-product-photoshoot), marketplace listing cards (use higgsfield-marketplace-cards), text/chat/TTS tasks.
editor-in-chief
by exiaoUse when a first draft is complete and all Phase 1 gates are done: topic selected (seo-research), title approved (hooks), outline approved (outline-generator), draft written (writer). Runs autonomous diagnosis-prescribe-rewrite loop before Substack.
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.