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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retention-editing
by TheCraigHewittWhen the user wants editing guidance for YouTube retention, pattern interrupt techniques, pacing direction, or re-engagement strategies. Also use when the user says 'editing for retention,' 'pattern interrupts,' 'how should I edit this,' 'pacing guide,' 'my videos lose viewers in the middle,' 'editing notes,' 'retention editing,' 'keep viewers watching.' For script-level retention, see script-structure. For analyzing retention data, see video-analysis.
thumbnail-design
by TheCraigHewittWhen the user wants to create YouTube thumbnail concepts, design briefs, improve thumbnail CTR, or develop a thumbnail style. Also use when the user says 'design a thumbnail,' 'thumbnail idea,' 'thumbnail concept,' 'improve my thumbnails,' 'thumbnail brief,' 'my thumbnails aren't getting clicks,' 'thumbnail for this video.' For title pairing, see title-craft. For video analysis including CTR, see video-analysis.
financial-review
by TheCraigHewittWhen the user wants to review their business finances, understand their P&L, check cash position, plan spending, review unit economics, or says things like 'financial review,' 'look at my numbers,' 'P&L review,' 'cash flow,' 'can I afford to hire,' 'pricing review,' 'unit economics,' 'how's my business doing financially.' Works with whatever level of financial detail they have.
hiring
by TheCraigHewittWhen the user needs to hire someone, write a job post, evaluate candidates, plan an interview process, decide between candidates, or says things like 'I need to hire,' 'write a job description,' 'interview questions for,' 'should I hire,' 'evaluate this candidate,' 'hiring plan,' 'who should I hire next.' Covers the full hiring lifecycle for founders at small teams.
meeting-prep
by TheCraigHewittWhen the user needs to prepare for a meeting, wants a pre-call briefing, needs to process meeting notes into action items, or wants a follow-up email drafted. Triggers: 'prep for a meeting,' 'I have a call with,' 'meeting with,' 'write a follow-up,' 'meeting notes,' 'debrief,' 'action items from.' Works for sales calls, investor meetings, board meetings, team meetings, podcast appearances, partner calls — any meeting.
quarterly-review
by TheCraigHewittWhen the user wants to do a quarterly review, reflect on the past quarter, plan the next quarter, reset strategic priorities, or says things like 'quarterly review,' 'end of quarter,' 'Q1/Q2/Q3/Q4 review,' 'quarterly planning,' 'what should we focus on next quarter,' 'strategic reset.' The 90-minute big sibling of weekly-review.
brain-dump
by TheCraigHewittTake a messy stream-of-consciousness dump from the user (typed or transcribed from voice) and turn it into a structured set of projects, tasks, and connections to existing work. Use this whenever the user says 'brain dump,' 'let me dump some thoughts,' 'getting this out of my head,' 'unload some stuff,' 'process this for me,' or starts rambling without a clear ask. Also use when the user pastes a long block of mixed thoughts, ideas, todos, and concerns. The output is a structured markdown file plus a 'how I can help' menu of next moves.
decision-journal
by TheCraigHewittLog a decision the user is making (or has made), with full context — the call, the alternatives, the reasoning, the expected outcome, and what would prove it wrong. Then pattern-match against past decisions to flag relevant prior bets. Use this whenever the user says 'log this decision,' 'I'm deciding to,' 'we're going with,' 'pattern from past decisions,' 'have I made a call like this before,' 'decision journal,' or describes a meaningful business or personal call they're committing to. Also use to do a periodic review of past decisions and surface lessons. Output is a markdown decision file in a `decisions/` folder, with cross-links to similar prior decisions.
deep-research
by TheCraigHewittResearch a topic deeply across multiple sources and produce a sourced, bite-sized brief the user can read in 5 minutes. Use this whenever the user says 'research,' 'deep dive on,' 'tell me about,' 'what's the latest on,' 'do a brief on,' 'TL;DR of [topic],' 'catch me up on,' or asks about something they want to understand quickly but well. Works for AI tools, companies, people, technical concepts, market trends, news events, scientific topics. Output is a markdown brief with sources, pros/cons, and your read on what matters.
expense-report
by TheCraigHewittScan a folder of receipts (PDFs, images, screenshots) and produce a categorized expense spreadsheet plus a dashboard summarizing the period. Use this whenever the user says 'process my receipts,' 'expense report,' 'categorize these expenses,' 'tax prep,' 'monthly/quarterly expenses,' 'bookkeeping,' or points you at a folder of receipts. The skill works on whatever's in the folder — no setup required — but improves over time as it learns the user's category structure. Often paired with a scheduled task that runs weekly or monthly.
invoice-generator
by TheCraigHewittGenerate a professional PDF invoice from a one-sentence description, with line items, totals, tax, and payment terms. Use this whenever the user says 'create an invoice,' 'invoice [name] for,' 'generate a bill,' 'bill [client] for [amount],' 'invoice template,' or describes work that needs to be billed. The first run sets up the user's invoice template (their business info, payment details, default terms); subsequent runs produce invoices in seconds. Output is a polished PDF saved to the working folder.
meeting-prep
by TheCraigHewittGenerate a pre-meeting briefing dashboard before a call, or process post-meeting notes into a follow-up email and action items. Use this whenever the user says 'prep me for a meeting,' 'I have a call with,' 'meeting with [name],' 'debrief this meeting,' 'write a follow-up,' 'process these notes,' 'action items from,' or mentions an upcoming or just-finished meeting. Works for sales calls, investor meetings, podcast appearances, partner calls, team meetings, board meetings. Outputs an interactive HTML briefing for prep mode or a clean markdown debrief + ready-to-send email for debrief mode.
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.