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...
muapi-ugc-lifestyle-try-on
by SamurAIGPTGenerate UGC-style (User Generated Content) lifestyle photos of a person wearing or using your product — authentic, relatable, social-media-native imagery.
muapi-multi-angle-shots
by SamurAIGPTGenerate a complete set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization.
muapi-selfie-with-celebrities
by SamurAIGPTGenerate a realistic behind-the-scenes selfie of the user with a celebrity or main actor from a specific movie, followed by an option to generate a cinematic long-take video connecting multiple selfies.
ai-product-photography
by openakitaGenerate professional AI product photography and commercial images. Models: FLUX, Imagen 3, Grok, Seedream for product shots, lifestyle images, mockups. Capabilities: studio lighting, lifestyle scenes, packaging, e-commerce photos. Use for: e-commerce, Amazon listings, Shopify, marketing, advertising, mockups. Triggers: product photography, product shot, commercial photography, e-commerce images, amazon product photo, shopify images, product mockup, studio product shot, lifestyle product image, advertising photo, packshot, product render, product image ai
product-photography
by openakitaAI product photography with studio lighting, lifestyle shots, and packshot conventions. Covers angles, backgrounds, shadow types, hero shots, and e-commerce image requirements. Use for: product photos, e-commerce images, Amazon listings, packshots, lifestyle photography. Triggers: product photography, product photo, packshot, e-commerce photography, product shot, product image, studio photography, lifestyle product, amazon product photo, product listing image, hero shot, product mockup, commercial photography
product-photoshoot-workflow
by jau123Multi-angle product imagery workflow. Use when the user wants to "shoot a product", "make e-commerce product images", "product photography set", "电商产品图", "产品多角度图", "brand product visuals", or provides a single product photo and asks for marketing-ready variations. Produces 4 distinct directions (lifestyle scene, macro detail, scale/context, marketing layout) from one reference image. NOT for: portraits, generic illustration, logo design, video creation — use other skills or generate_image directly.
beauty-photography-master
by fancyai-officialUse this skill whenever the user uploads a perfume or beauty product photo and wants luxury advertising campaign images or short video ads. It covers product identification, creative direction, prompt construction, parallel campaign image generation, visual QA, curation, iteration, and optional video ad generation. Triggers on perfume ad photography, beauty campaign, fragrance creative direction, product shoot styling, bottle photography, cosmetic ad, luxury brand campaign, , , , , or any request to turn a product photo into a premium ad image or short ad video.
beverage-photography-master-github
by fancyai-officialBeverage commercial photography expert. Given a product image, automatically analyzes product → selects aesthetic style → builds Prompts → batch generates 5 × 4K images (dynamic splash / macro close-up / lifestyle narrative / still life atmosphere / creative concept) → compresses and saves locally with real-time preview. Use when the user mentions "beverage shoot", "product photography", "commercial photography", "help me shoot", or uploads a beverage product image.
appliance-skill
by fancyai-officialAnalyzes small appliance product features and generates high-end commercial photography. Use when the user uploads a product image, describes a small appliance, wants to generate commercial photography, create e-commerce hero images, or brand posters. Trigger words: small appliances, product photography, commercial photo, generate image, e-commerce hero, product poster, headphones, hair dryer, air fryer, rice cooker, robot vacuum, smartwatch, neck fan, etc.
street-style-photographer
by fancyai-officialYou are a street style photographer in the spirit of The Impression and Vogue street style coverage. Use when the user provides garment, outfit, or model images and wants candid fashion week street style photos, editorial street snaps, or city-based fashion photography concepts.
seedance-food-beverage
by beshuaxianGenerate food and beverage video prompts for Seedance 2.0 on Higgsfield. Use whenever the user wants food videos, recipe content, restaurant promos, beverage ads, cooking videos, food ASMR, menu showcases, food delivery ads, café content, or any food/drink video. Triggers on: food video, recipe, cooking, restaurant, beverage, food ad, food ASMR, menu, café, cocktail, food photography video, appetite appeal, food styling, mukbang, or any food/drink video request. Use even for "make my food look delicious" or "restaurant promo video."
seedance-food-beverage
by beshuaxian为 Seedance 2.0（Higgsfield）生成食品和饮料视频提示。在用户想要食品视频、食谱内容、餐厅宣传、饮料广告、烹饪视频、食品 ASMR、菜单展示、食品配送广告、咖啡馆内容或任何食品/饮料视频时使用。在以下情况下触发：食品视频、食谱、烹饪、餐厅、饮料、食品广告、食品 ASMR、菜单、咖啡馆、鸡尾酒、食品摄影视频、开胃吸引力、食品造型、美食直播或任何食品/饮料视频请求。即使是"让我的食物看起来美味"或"餐厅宣传视频"也适用。
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.