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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Showing 8 of 8 skills
vibecode

vibecode-integration-calcom

by vibecode
star 1

Cal.com API for managing scheduling, event types, bookings, and availability. Consult this skill: 1. When the user asks to manage their scheduling or calendar bookings 2. When the user needs to check availability or event types 3. When the user wants to create or cancel bookings 4. When the user mentions Cal.com, scheduling links, or appointment booking

navigation main article SKILL.md
schedule Updated 2 months ago
vibecode

thumbnail-creator

by vibecode
star 1

Specialized skill for generating YouTube-style thumbnails from a topic description, video title, or video URL. Use when: (1) creating a YouTube thumbnail for a video, (2) generating a click-worthy thumbnail image from a topic or title, (3) designing thumbnails with text overlays, faces, and bold visuals, (4) creating multiple thumbnail variations for A/B testing, (5) making social media or blog thumbnails optimized for clicks. Builds on: gemini-image.

navigation main article SKILL.md
schedule Updated 3 months ago
vibecode

serp-google-flights

by vibecode
star 1

Specialized skill for Google Flights workflows via SerpApi — flight search, price comparison, round-trip planning, multi-city itineraries, and booking. Use when: (1) searching for flights between cities or airports, (2) comparing flight prices across dates or airlines, (3) planning round-trip travel with outbound and return flights, (4) building multi-city itineraries, (5) finding the cheapest flights with filters (nonstop, class, bags, time), (6) analyzing price trends and insights for a route, (7) getting booking links for selected flights, (8) resolving airport codes from city names, (9) any travel planning task involving flight search or airfare. This skill builds on the foundational serpapi skill for all API details.

navigation main article SKILL.md
schedule Updated 2 months ago
vibecode

amplitude

by vibecode
star 1

Amplitude analytics via MCP (Model Context Protocol). Query product data, create/edit charts and dashboards, manage cohorts and experiments, search session replays, and analyze feedback. Use when: (1) querying analytics data (events, funnels, retention, segmentation), (2) creating or editing charts, (3) building dashboards, (4) managing cohorts or experiments, (5) searching Amplitude content, (6) any task involving Amplitude analytics. Requires amplitude-cli (`amp` command) and AMPLITUDE_ACCESS_TOKEN (OAuth via Nango).

navigation main article SKILL.md
schedule Updated 2 months ago
vibecode

vibecode-integration-xero

by vibecode
star 1

Xero Accounting API for managing invoices, contacts, bank transactions, and reports. Consult this skill: 1. When the user asks to manage invoices, bills, or payments 2. When the user needs to look up or manage contacts/customers 3. When the user wants to check bank transactions or account balances 4. When the user mentions Xero, accounting, or bookkeeping

navigation main article SKILL.md
schedule Updated 2 months ago
vibecode

serpapi

by vibecode
star 1

Foundational skill for the SerpApi search engine API — structured JSON from 30+ engines including Google (web, images, maps, flights, hotels, scholar, news, shopping, jobs, finance, trends, ads), YouTube (search, video details, transcripts), Tripadvisor, OpenTable, Bing, DuckDuckGo, Walmart, eBay, and more. Use when: (1) searching any search engine via SerpApi, (2) Google Flights/Hotels pricing, (3) Google Maps local search or place details, (4) YouTube search/video/transcript, (5) Google Scholar papers, (6) Google Trends, (7) Tripadvisor/OpenTable reviews, (8) e-commerce search (Walmart, eBay), (9) app store search, (10) Google Ads transparency, (11) any task involving serpapi.com. Base SerpApi skill — specialized skills reference it.

navigation main article SKILL.md
schedule Updated 2 months ago
vibecode

vibecode-integration-dropbox

by vibecode
star 1

Dropbox API for managing files, folders, and sharing links. Consult this skill: 1. When the user asks to upload, download, or manage files in Dropbox 2. When the user needs to search for files or folders 3. When the user wants to create sharing links or check storage usage 4. When the user mentions cloud storage or file sharing and has Dropbox connected

navigation main article SKILL.md
schedule Updated 2 months ago
vibecode

youtube-video-downloader

by vibecode
star 1

YouTube Video Downloader API for downloading 3rd party YouTube videos. Use when: (1) the user asks to download, save, or fetch an MP4 from a YouTube URL or video ID (2) local yt-dlp is blocked, unavailable, or should not be used. This is for downloading media files; use YouTube Data API skills for search/metadata/channel operations and Supadata for transcripts. This is for downloading 3rd party YouTube videos only.

navigation main article SKILL.md
schedule Updated 8 days ago
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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.