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 12 of 46 skills
zrosenfield

youtube-description

by zrosenfield
star 65

Generate engaging YouTube video descriptions from video transcripts. Use this skill whenever the user wants to create a YouTube description, write a video description, summarize a video for YouTube, or draft copy for a YouTube upload. Also trigger when the user provides a transcript and mentions YouTube, video publishing, or video SEO. Works with raw transcripts, cleaned transcripts, or transcript files in any format.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

style-monochrome

by zrosenfield
star 65

Monochrome style tokens and row template for the list-styling skill. Single-hue slate design with a left-aligned large progress number as the hero element, all metadata stacked beside it. Layout uses the progress percentage as the dominant visual element. Use when the user says "monochrome," "single color," "corporate," "tonal," "minimal," or similar.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

copy-editing

by zrosenfield
star 65

Systematically edits Markdown documents — READMEs, skill files, and demo guides — using seven sequential sweeps. Each sweep focuses on one quality dimension so nothing gets missed. Use when a document needs to be clearer, tighter, or easier to act on. Triggers include "edit this", "clean this up", "review my README", "improve this skill", "tighten this up", or when a document feels long, vague, or hard to follow. Does NOT write or suggest code.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

decision-log

by zrosenfield
star 65

Extracts and formats Decision Records from video or audio transcripts, capturing the full context of each decision: the problem being solved, options that were considered, who made the call, the rationale, concerns or dissent raised, and any conditions or follow-on actions. Produces structured, durable Decision Records rather than a meeting narrative. Use when a user wants to document the reasoning behind decisions made in a recorded meeting, create an audit trail for a key call, or build a decision log from a transcript. Triggers include "create a decision log from this transcript", "document why we decided X", "extract decisions from this recording", "make a decision record", or when a user wants more than meeting notes — specifically the reasoning, options, and ownership behind each decision.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

executive-summary

by zrosenfield
star 65

Distills long documents, reports, meeting transcripts, or briefing materials into tight one-page executive summaries formatted for SharePoint. Surfaces the core situation, key findings or decisions, recommendations, and what the reader needs to do or know. Use when a user wants to condense a long document for a leadership audience, create a TL;DR for a report, or produce a standalone summary someone can read in under two minutes. Triggers include "summarize this for leadership", "write an exec summary", "make this into a one-pager", "TL;DR this document", or when a user shares a long document and asks for a shorter version.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

meeting-notes

by zrosenfield
star 65

Transforms raw video or audio transcripts into detailed, structured meeting summaries formatted for SharePoint. Handles messy auto-generated transcripts including unlabeled speakers, filler words, and transcript artifacts. Extracts discussion threads, decisions, action items, key quotes, and next steps. Use when a user pastes or shares a meeting transcript and wants polished, shareable notes. Triggers include "summarize this meeting transcript", "create notes from this recording", "turn this transcript into meeting notes", "write up this call", or when a user shares raw transcript text.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

gap-analysis

by zrosenfield
star 65

Compares two documents or versions of content and surfaces what is missing, conflicting, changed, or new between them. Produces a structured gap analysis with categorized findings and a summary of implications. Use when a user wants to compare an old and new version of a document, check whether a spec matches an implementation, audit a policy for missing coverage, or identify what changed between two states. Triggers include "compare these two docs", "what's missing from this", "what changed between these versions", "find the gaps", "does this spec match this document", or when a user shares two documents and asks what is different or inconsistent.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

site-analyzer

by zrosenfield
star 65

Performs comprehensive analysis of a SharePoint project site by systematically reading ALL lists and ALL documents using AI in SharePoint tools, then producing a tailored, data-driven analysis. Use when asked to analyze a site holistically, create scorecards, audit project health, prepare meeting briefings, assess risks, or perform any exhaustive site-wide analysis. Works with any SharePoint team site.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

faq-building

by zrosenfield
star 65

Builds structured FAQ pages from source material such as documents, process guides, policies, product descriptions, or topic briefs. Anticipates questions from the reader's perspective, groups them into themes, writes clear Q&A pairs, and delivers SharePoint-ready Markdown. Use when a user wants to create an FAQ from an existing document, prepare a help page for a new process or policy, or capture anticipated questions before a launch or rollout. Triggers include "create an FAQ from this", "build a FAQ page", "what questions will people ask about this", "turn this into a FAQ", or when a user wants to surface common questions from a document or topic.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

style-high-contrast

by zrosenfield
star 65

High Contrast accessibility style tokens and row template for the list-styling skill. Maximum contrast, large text, thick borders, alternating dark/light band rows, heavy left accent bar. Layout uses wide horizontal bands with large bold text for maximum readability. Use when the user says "high contrast," "accessible," "WCAG," "large text," or similar.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

style-pastel

by zrosenfield
star 65

Pastel style tokens and row template for the list-styling skill. Soft candy colors, inverted badges (light bg + dark text), rounded cards with a tinted left panel that matches the status hue. Friendly and approachable. Use when the user says "pastel," "soft colors," "candy," "friendly," "approachable," or similar.

navigation main article SKILL.md
schedule Updated 1 month ago
zrosenfield

find-expert

by zrosenfield
star 65

Matches open Knowledge Gaps items to subject matter experts in the Expert Directory and assigns them. Triggers when asked to find experts, route open questions, or review unassigned gaps.

navigation main article SKILL.md
schedule Updated 1 month ago
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.