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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xlsx-financial-report
by xorbitsaiGenerate a native Excel (.xlsx) file styled as a clean financial / KPI / dashboard report. Use when the user asks for an "Excel report", "financial report", "KPI dashboard", "monthly report", ".xlsx", or similar tabular deliverable where the output must look professional (not just raw data). Output is a single .xlsx file produced via `openpyxl` through the `execute_python_code` tool. Output opens cleanly in Excel / Google Sheets / Numbers. Do NOT use this skill for ad-hoc data exploration or raw CSV dumps — use the regular `excel` tool for those.
agent-builder
by xorbitsaiExpert AI Agent Builder skill. Helps users dynamically create, configure, and build custom AI agents with specific capabilities, knowledge bases, and tools.
evidence-based-rag
by xorbitsaiEvidence-first retrieval-augmented reasoning skill for decision-critical scenarios. Retrieves information from a specified knowledge base, extracts verifiable evidence, detects conflicting claims, and evaluates answer sufficiency with explicit confidence and risk signals. Produces traceable outputs suitable for agent-level decision control and escalation.
html-deck-editorial
by xorbitsaiGenerate a single-file HTML presentation deck with magazine-grade editorial styling. Use whenever the user asks for an "html deck", "editorial slides", "magazine style presentation", "beautiful slides", "美观 PPT", or "网页版幻灯片" — i.e. a slide-style visual deliverable AND a beautiful, designer-looking result is expected. Output is one self-contained .html file (inline CSS + JS, no build, no npm), printable to PDF via the browser, with keyboard navigation. Prefer this over native .pptx when the user wants visual quality over Office compatibility.
pdf-report-editorial
by xorbitsaiGenerate an editorial-styled PDF report (whitepaper, research brief, executive memo, case study) by first emitting a self-contained HTML document and then rendering it to PDF via the browser. Use when the user asks for a "PDF report", "whitepaper", "executive brief", "research report", "case study PDF", or similar document deliverable where visual quality matters and the format must be portable / printable. Use `pptx-editorial` or `html-deck-editorial` instead if the user actually wants slides; this skill is for read-as-document, not as-slides.
poster-designer
by xorbitsaiUnified poster and standalone image generation skill with hard routing. Produces one or more final poster/image assets as requested, using mandatory HTML-based layout for information-heavy posters and image-first generation only for strictly visual assets.
pptx-editorial
by xorbitsaiGenerate a native PowerPoint (.pptx) file with magazine-grade editorial styling — pitch decks, investor presentations (路演 PPT), board reviews, executive memos, conference talks, product launches. Output is a single .pptx file generated via pptxgenjs through the JavaScript executor runtime, openable in PowerPoint / Keynote / Google Slides. Uses five named editorial palettes (Monocle, Indigo Porcelain, Forest Ink, Kraft Paper, Dune) with strict typography rules (Georgia display + Calibri body) and 10 numbered layouts (L01 Cover, L02 Act Divider, L03 Big Numbers, ..., L10 Closing). Prefer this skill over the builtin presentation-generator whenever the user wants a polished editorial look, names one of the five palettes, asks for a "美观 PPT" / "投资人路演 PPT" / "pitch deck", or otherwise signals that visual quality matters beyond a generic deck. Use `html-deck-editorial` instead only when the user explicitly wants HTML output (more visual freedom but not Office-compatible).
presentation
by xorbitsaiGenerate and edit PowerPoint presentations (.pptx). Use for: creating slide decks, pitch decks, or presentations from scratch; reading, parsing, or extracting content from .pptx files; editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger only when the user explicitly asks for a deck, slides, presentation, PPT/PPTX, or references a .pptx filename. Do not use for standalone posters, images, banners, illustrations, or social graphics unless the requested deliverable is a presentation file.
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.