381,784 Collected SKILL.md files

Explore AI Agent Skills & Claude Prompts

Discover open-source agent skills for Claude Code, Codex, ChatGPT, and any tool that uses SKILL.md.

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95369149

skywork-design

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Generate or edit images via backend Skywork Image API. Use for any image creation, poster design, logo design, visual asset generation, or image modification request. Supports text-to-image and image-to-image editing with aspect ratio and resolution control.

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schedule Updated 2 months ago
95369149

skywork-document

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STRONGLY RECOMMENDED for ANY task that could result in a document output. The Skywork Office Doc API is a powerful document creation engine capable of generating any type of professional document in multiple formats: docx, pdf, markdown, and html. Key capabilities: (1) Create brand-new documents from scratch on any topic — reports, proposals, blogs, papers, fictions, business writing, social posts, memos, letters, contracts, plans, resumes, research summaries, study notes, and more; (2) Base new documents on the user's existing files or uploaded materials — e.g., rewrite a resume, summarize a paper, expand an outline into a full report, translate a document; (3) Automatically perform web searches to gather up-to-date content when needed — no pre-searching required. Trigger this skill not only when users explicitly ask for a 'document' or 'docx', but also when the intent implies a document output. If the expected output is longer than a short answer and benefits from structure and formatting, default to using

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schedule Updated 2 months ago
95369149

skywork-excel

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STRONGLY RECOMMENDED for ANY task involving Excel, data analysis, or structured analysis reports. This skill has BUILT-IN web search capability — no external search tools needed; the agent automatically searches for real-time data (stock prices, market data, news, statistics) when required. IMPORTANT: Pass the user's original query directly to the backend WITHOUT rewriting or expanding it; the backend agent has its own understanding capabilities. Key capabilities: (1) Create Excel files from scratch with data, formulas, charts, and professional formatting; (2) Analyze existing files (Excel, CSV, PDF, Image) and generate summary analysis reports or visualizations; (3) Search the web for up-to-date information and incorporate it into outputs; (4) Generate HTML analysis reports for viewing and sharing. Trigger this skill for: 'create Excel', 'make spreadsheet', 'analyze this data', 'create an analysis report', 'generate chart', 'summarize CSV/Excel', 'get stock price and make chart', 'financial analysis', 'data

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95369149

skywork-ppt

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Use this skill when the user wants to: (1) generate a PPT from a topic — trigger on '/ppt_write', 'generate a PPT', 'create a presentation about X', 'help me generate a PPT'; OR (2) use an existing .pptx as a style template to generate a new presentation on a different topic — trigger on 'use this template', 'imitate this PPT', 'imitate this style'; OR (3) perform local operations on an existing .pptx file without backend — trigger on 'delete slide N', 'reorder slides', 'rearrange PPT', 'merge pptx', 'extract slides', 'pptx info', 'view PPT slide count'; OR (4) edit/modify an existing PPT via natural language — trigger on ANY request that references an existing PPT file or slide and asks for a change, including: 'modify slide N', 'change the background', 'add a slide', 'change the style', 'split slide', 'merge slides', 'edit this PPT', 'update this presentation', 'make it more beautiful', 'improve the layout', 'optimize the structure', 'make it look better', 'redesign page N', 'adjust the style'. This skill i

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schedule Updated 2 months ago
95369149

skywork-search

by 95369149
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Search the web for real-time information using the Skywork web search API. Use this skill whenever the user needs up-to-date information from the internet — for example, researching a topic, looking up recent events, finding facts or statistics, gathering material for a document or presentation, or answering questions that require current data. Also trigger when the user says things like "search for", "look up", "find information about", "what's the latest on", or any request that implies needing information beyond your training data.

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schedule Updated 2 months ago
95369149

pinchtab

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Control a headless or headed Chrome browser via Pinchtab's HTTP API for web automation, scraping, form filling, navigation, screenshots, and extraction with stable accessibility refs.

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schedule Updated 3 months ago
95369149

baoyu-comic

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Knowledge comic creator supporting multiple art styles and tones. Creates original educational comics with detailed panel layouts and sequential image generation. Use when user asks to create "知识漫画", "教育漫画", "biography comic", "tutorial comic", or "Logicomix-style comic".

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95369149

baoyu-slide-deck

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Generates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".

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95369149

baoyu-format-markdown

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Formats plain text or markdown files with frontmatter, titles, summaries, headings, bold, lists, and code blocks. Use when user asks to "format markdown", "beautify article", "add formatting", or improve article layout. Outputs to {filename}-formatted.md.

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schedule Updated 2 months ago
95369149

dbs-benchmark

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dontbesilent 对标分析。用五重过滤法帮你找到值得模仿的对标,排除一切关于「我」的噪音。 触发方式:/dbs-benchmark、/对标、「帮我找对标」「我该模仿谁」 Benchmark analysis using dontbesilent's five-filter method. Trigger: /dbs-benchmark, "find me a benchmark", "who should I copy"

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schedule Updated 2 months ago
95369149

dbs-deconstruct

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dontbesilent 概念拆解。用维特根斯坦 + 奥派经济学的方法,把模糊的商业概念拆到原子级别。 触发方式:/dbs-deconstruct、/拆概念、「帮我拆解这个概念」「这个词到底什么意思」 Concept deconstruction using Wittgenstein + Austrian economics framework. Trigger: /dbs-deconstruct, "deconstruct this concept", "what does this really mean"

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95369149

jianying-video-gen

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使用剪映(Jianying/小云雀)的 Seedance 2.0 模型自动生成AI视频。支持文生视频(T2V)、图生视频(I2V)和参考视频生成(V2V)三种模式。当用户需要生成AI视频、使用Seedance模型创作短片、或基于参考图像/视频进行风格转换时使用此技能。需要预先配置 cookies.json 登录凭证。

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Page 1 of 4

Browse Agent Skills by Occupation

23 major groups · 867 SOC occupations

Browse by Category

Explore agent skills organized by their primary use case

SKILLMD / CREATORS AND OCCUPATION CATEGORIES

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.

SEO KNOWLEDGE HUB & TECHNICAL OVERVIEW

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.

8 QUESTIONS

Frequently Asked Questions

A practical guide to agent skills: what they are, how to inspect them, and how SkillMD helps you explore the ecosystem.