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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seedance-product-360
by beshuaxian为 Seedance 2.0（Higgsfield）生成产品360°转盘、多角度展示和产品揭示视频提示。在用户想要产品旋转视频、转盘展示、产品揭示、360度视图、多角度产品展示、产品美妆镜头、主产品视频或开箱揭示时使用。触发条件：产品360、转盘、产品旋转、多角度、产品揭示、产品展示、主镜头、美妆镜头、产品旋转、开箱，或任何请求从多个角度展示物理产品。即使是"从所有侧面显示我的产品"或"制作产品视频"。
seedance-music-video
by beshuaxianGenerate music video and beat-synced visual content prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants to create a music video, lyric video, beat-synced visuals, performance video, concert visual, album art animation, or music-driven visual content. Triggers on: music video, lyric video, beat sync, music visualization, performance video, concert visual, album visual, song video, music clip, beat drop visual, rhythm sync, or any music-driven video request. Use even for "make visuals for my song" or "video for this track."
seedance-fashion-lookbook
by beshuaxianGenerate fashion lookbook, model showcase, and style video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants fashion video content, lookbook videos, model walks, outfit showcases, style guides, fashion campaigns, runway clips, streetwear content, or any fashion/clothing video. Triggers on: fashion video, lookbook, model showcase, outfit, style guide, fashion campaign, runway, streetwear, collection launch, fashion ad, clothing video, OOTD, fashion film, or any fashion/model video request. Use even for "show off this outfit" or "fashion content for my brand."
seedance-fashion-lookbook
by beshuaxian为 Seedance 2.0（Higgsfield）生成时尚造型书、模特展示和风格视频提示。在用户想要时尚视频内容、造型书视频、模特走秀、服装展示、风格指南、时尚活动、跑道片段、街头风格内容或任何时尚/服装视频时使用。在以下情况下触发：时尚视频、造型书、模特展示、服装、风格指南、时尚活动、跑道、街头风格、系列发布、时尚广告、服装视频、OOTD、时尚电影或任何时尚/模特视频请求。即使是"展示这件服装"或"为我的品牌提供时尚内容"也适用。
seedance-cinematic
by beshuaxianGenerate cinematic film-style video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants cinematic, film-like, movie-quality, Hollywood-style, dramatic, or professional film-quality AI video. Triggers on: cinematic, film look, movie scene, dramatic lighting, depth of field, lens flare, anamorphic, letterbox, noir, epic, Steadicam, dolly, crane shot, or any cinematic video generation request. Always use this skill even if the user doesn't explicitly say "cinematic" but describes a film-like aesthetic.
seedance-cinematic
by beshuaxian为 Seedance 2.0（Higgsfield）生成电影级胶片风格视频提示词。在用户想要电影级、胶片感、电影质量、好莱坞风格、戏剧性或专业胶片质量的AI视频时使用。触发词：电影级、胶片感、电影场景、戏剧性打光、景深、镜头光晕、变形、信箱式、黑色电影、史诗、稳定摄像机、推车镜头、吊臂镜头或任何电影级视频生成请求。即使用户没有明确说"电影级"但描述了胶片美学，也要使用此技能。
seedance-3d-cgi
by beshuaxianGenerate 3D CGI and rendered video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants 3D rendered, CGI, Pixar-style, Unreal Engine, photorealistic 3D, computer-generated, or digitally rendered video content. Triggers on: 3D animation, CGI, rendered, Blender, Unreal Engine, octane render, ray tracing, volumetric, subsurface scattering, physically based rendering, or any 3D/CG video request. Always use even if the user just says "make it look 3D" or describes a rendered aesthetic.
seedance-3d-cgi
by beshuaxian为 Seedance 2.0（Higgsfield）生成三维CGI和渲染视频提示词。在用户想要三维渲染、CGI、皮克斯风格、Unreal Engine、逼真3D、计算机生成或数字渲染视频内容时使用。触发词：3D动画、CGI、渲染、Blender、Unreal Engine、octane render、光线追踪、体积、次表面散射、基于物理的渲染或任何3D/CG视频请求。即使用户只说"使其看起来像3D"或描述了渲染美学，也要使用。
seedance-cartoon
by beshuaxianGenerate cartoon and animation style video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants cartoon, 2D animation, cel-shaded, hand-drawn, illustrated, flat animation, or motion graphics animation style video. Triggers on: cartoon, animation, cel shading, hand-drawn, illustrated, flat design animation, vector animation, retro cartoon, rubber hose, motion graphics, or any cartoon/animated style request. Use even for vague requests like "make it look animated" or "fun colorful style."
seedance-cartoon
by beshuaxian为 Seedance 2.0（Higgsfield）生成卡通和动画风格视频提示词。在用户想要卡通、2D动画、赛璐珞着色、手绘、插画、平面动画或运动图形动画风格视频时使用。触发词：卡通、动画、赛璐珞着色、手绘、插画、平面设计动画、矢量动画、复古卡通、橡皮软管、运动图形或任何卡通/动画风格请求。即使用户含糊地说"使其看起来像动画"或"有趣多彩的风格"也要使用。
seedance-comic-to-video
by beshuaxianConvert comic book panels, manga pages, webtoons, and illustrated storyboards into animated video using Seedance 2.0 on Higgsfield. Use whenever the user wants to animate comics, bring illustrations to life, convert manga to video, animate storyboards, or create motion from static sequential art. Triggers on: comic to video, manga animation, panel animation, storyboard to video, webtoon animation, comic book motion, sequential art, graphic novel animation, or any illustrate-to-animate request. Use even when user says "make this drawing move" or "animate this page."
seedance-comic-to-video
by beshuaxian使用 Seedance 2.0（Higgsfield）将漫画书面板、漫画页面、网络漫画和插画故事板转换为动画视频。在用户想要动画漫画、使插画栩栩如生、将漫画转换为视频、动画化故事板或从静态连环艺术创建运动时使用。触发词：漫画变视频、漫画动画、面板动画、故事板变视频、网络漫画动画、漫画书运动、连环艺术、图形小说动画或任何插画转动画请求。即使用户说"使这个画动起来"或"动画化这一页"也要使用。
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.