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...
kdp-book-creator
by hoanghd218Create a KDP coloring book end-to-end by orchestrating sub-agents for planning, image generation & review, and book assembly. USE WHEN the user says 'tao sach', 'create coloring book', 'kdp create book', 'build coloring book end to end', 'make a coloring book', 'tao sach to mau', or otherwise asks to produce a complete KDP coloring book from a concept. Trigger even when the user only gives a concept (e.g. "a book about cozy cats") without explicitly naming the pipeline.
kdp-image-generator
by hoanghd218Generate coloring page images using the configured image renderer (set via IMAGE_RENDERER in .env). USE WHEN user says 'generate coloring pages', 'create coloring images', 'generate images for book', 'run image generation', 'kdp generate images', 'make coloring page images', 'generate pages from plan'.
kdp-image-reviewer
by hoanghd218Review coloring book images for quality and KDP compliance. USE WHEN user says 'review coloring pages', 'check image quality', 'review generated images', 'kdp image review', 'check coloring book images', 'which pages need regeneration', 'quality check images'.
ads-manager
by hoanghd218Agent 06 - Launch and manage Amazon Ads (Sponsored Products) for KDP books: keyword research, bid strategy, campaign setup, daily pacing. USE WHEN user says: kdp ads, launch ads, amazon ads, sponsored products, ppc, keywords bid, ads manager, tao ads, chay ads kdp.
mkt-broll-screenshot
by hoanghd218Chụp screenshot và quay video scroll b-roll từ trang web ở dạng điện thoại iPhone (mobile responsive) để làm visual chèn vào video ngắn. USE WHEN user says 'chụp ảnh repo', 'screenshot github', 'chụp web', 'b-roll screenshot', 'quay scroll', 'chụp ảnh trang web', 'capture mobile screenshot', 'lấy ảnh cho video', 'chụp ảnh điện thoại', 'screenshot mobile', 'quay video scroll web'. Also use when a production plan or grok-prompts.md references custom assets that need screenshots from URLs.
heygen-mp3-to-mp4
by hoanghd218Convert a single MP3 voiceover file into a single HeyGen avatar lip-sync MP4 video. Single-purpose — no planning, no SRT, no chunking, no Remotion compositing. Uses HeyGen MCP tools exclusively (no direct REST API calls). Locks avatar look and voice ID to a fixed allowlist. USE WHEN user says "tạo video heygen từ mp3", "mp3 to heygen", "heygen mp4 từ audio", "convert mp3 sang heygen video", "tạo avatar video từ file mp3", "lip sync mp3 heygen", "biến mp3 thành video heygen", or any time the user has exactly one MP3 file and wants exactly one HeyGen avatar MP4 out.
heygen-remotion-short-video-editor
by hoanghd218Compose final short video from production plan + HeyGen avatar clips + Grok/custom visuals using Remotion. Builds props JSON, opens Remotion Studio preview for user to review, and only renders final MP4 when user approves. Handles interleaving avatar/visual clips, captions with effects, BGM, sound effects, and progress bar. USE WHEN user says 'ghép video remotion', 'compose video', 'editor video ngắn', 'remotion compose', 'ghép clip heygen', 'tạo video cuối cùng', 'preview video remotion', 'mở remotion studio'.
breakout-video-finder
by hoanghd218Find breakout YouTube videos with 2x+ view-to-subscriber ratio. USE WHEN user says 'find breakout videos', 'search for breakout video ideas', 'find viral video angles', 'youtube breakout research', 'find videos that overperformed', 'research video ideas for breakout potential', 'find underperforming videos that went viral', 'youtube video opportunity research'.
mkt-kane-youtube-30-day-challenge
by hoanghd218Viết kịch bản YouTube dài 10-20 phút theo format 30-day challenge của Matt d'Avella (3.4M subs, 300M views): self-improvement challenge chronicled documentary-style, expert interview, nhật ký ngày 1-30, before/after metrics, lessons. Áp dụng cho AI/productivity challenge của Hoàng. USE WHEN user says 'viết youtube 30 day challenge', 'kịch bản thử thách 30 ngày', 'youtube challenge matt davella', 'video 30 ngày thử', '30 day challenge script', 'video documentary style', 'video thử thách dài youtube'.
mkt-kane-reels-paste-this-tag-listicle
by hoanghd218Viết Reels 30-60s theo format 'Paste-this-tag Listicle' (validated Gold ×2 của Sabrina Ramonov: G1 23k eng + G3 8.9k eng). Structure: Lead magnet CTA dòng 1 → hook chứa số cụ thể → N tag UPPERCASE + 1-line benefit → collectible 'Save this' urgency. Áp dụng cho AI tools, prompt hacks, Claude Code hooks, settings.json template, shortcut commands. USE WHEN user says 'viết reels paste tag', 'reels listicle tag', 'reels secret codes', 'paste this listicle', 'reels format sabrina', 'reels tag uppercase', 'reels n secret', 'reels paste before prompt', 'reels collectible', 'reels claude code hooks'.
mkt-full-video-with-11-hyperframe-heygen
by hoanghd218End-to-end short-video pipeline — từ kịch bản (Việt/Anh) ra MP4 TikTok/Reels 9:16 hoàn chỉnh. Orchestrator 3 phase ghép 3 skill có sẵn — (1) `mkt-elevenlabs-tts-to-mp3` đọc script bằng voice của Hoàng, (2) checkpoint user duyệt MP3, (3) `heygen-mp3-to-mp4` lip-sync avatar HeyGen, (4) delegate Phase 3 packaging cho sub-agent `mkt-full-video-phase3-packager` (transcribe + scene outline + checkpoint + fan-out N scene writers parallel + scaffold + preview Studio). USE WHEN user nói "tạo full video từ script", "script to tiktok video", "pipeline full video heygen + hyperframe", "tạo video từ kịch bản đến mp4", "elevenlabs heygen hyperframe full pipeline", "kịch bản ra video tiktok", hoặc có sẵn 1 script + (optional) ảnh b-roll và muốn ra MP4 9:16 đóng gói có captions, SFX, b-roll.
raw-short-video-editor
by hoanghd218Edit short videos from raw filmed clips — auto-transcribe with local Whisper, auto-cut silence/gaps (jump cuts), add TikTok-style captions (bold stroke text, word-by-word highlight), zoom effects, transitions, BGM, and sound effects using Remotion. Input is multiple raw video files in order. Output is a viral-ready 9:16 short video. Different visual style from HeyGen pipeline — uses TikTokCreator composition with stroke captions instead of backdrop-blur boxes. USE WHEN user says 'edit video thô', 'ghép video quay', 'auto cut video', 'tạo short từ clip', 'edit raw clips', 'cắt ghép video', 'video editor từ clip thô', 'chỉnh sửa video thô', 'tạo tiktok từ video quay', 'auto cut silence', 'jump cut video', 'ghép clip quay tay', 'edit clip thô thành video', 'raw video editor', 'cắt im lặng video'.
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.