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.
Querying local SQLite index...
yc-pitch-deck
by guia-matthieuCreate a compelling startup pitch deck that follows the structure proven to raise billions from top investors. Master the YC and Sequoia formats that get founders funded. Use when: **Fundraising** to create investor pitch decks; **YC application** to structure your narrative; **Demo Day prep** to craft your 2-minute pitch; **Angel investors** to communicate your opportunity; **Partnership pitches** to structure compelling asks
problem-interview
by guia-matthieuValidate that the problem you want to solve is real, painful, and worth solving before building anything. Master Cindy Alvarez's structured approach to problem discovery interviews. Use when: **Before solution interviews** to confirm the problem exists; **Early customer discovery** to understand the problem space; **Pivoting** to find new problems worth solving; **Market expansion** to understand problems in new segments; **Feature prioritization** to validate which problems matter most
lean-canvas
by guia-matthieuDocument your business model on one page and systematically de-risk it. Master Ash Maurya's adaptation of Business Model Canvas optimized for startups and uncertainty. Use when: **Starting a new venture** to articulate and test your business model; **Preparing for customer discovery** to document hypotheses to validate; **Pivoting decisions** to compare alternative business models; **Investor conversations** to communicate your model concisely; **Team alignment** to get everyone on the same page
startup-metrics
by guia-matthieuKnow the metrics that matter at each stage and what investors actually look for. Master the A16Z and YC frameworks for measuring startup progress. Use when: **Fundraising prep** to know which metrics to highlight; **Board meetings** to report on the right KPIs; **Strategic planning** to set goals that matter; **Product decisions** to understand what to optimize; **Diagnosing problems** to find what's broken
landing-page-copy
by guia-matthieuBuild high-converting landing pages with proven structure, persuasive sections, and best practices. From hero to footer—every element optimized. Use when: Writing landing pages from scratch; Improving existing underperforming pages; Creating templates for repeatable page types; Structuring lead gen, sales, or product pages; Reviewing pages for conversion optimization
landing-page-optimizer
by guia-matthieuOptimize landing pages for maximum conversions using proven frameworks from Unbounce and Oli Gardner—apply the "one goal, one message, one action" principle with data-driven design, copy, and CTA best practices. Use when: **Create a new landing page** for a campaign; **Optimize an existing landing page** that isn't converting; **Review landing page design** before launch; **Improve form conversion rates** on lead gen pages; **A/B test landing page elements** systematically
distribution-engine
by guia-matthieuConstruisez un système de distribution complet (posting, DM delivery, retargeting, tracking) qui transforme vos hooks en pipeline prévisible, basé sur la méthodologie A4 du Marketing Swarm de Lasse Flagstad. Use when: **Lancer une machine de contenu LinkedIn/X** - Cadence, review flow, posting engine; **Automatiser les DMs après engagement** - Trigger → message → tag → booking; **Installer le retargeting** - Email + Meta/IG pour ne jamais perdre un lead; **Créer un dashboard simple** - Les 6 ...
purple-cow-marketing
by guia-matthieuCreate remarkable products and experiences that spread through word of mouth using Seth Godin's Purple Cow methodology Use when: **Launching a new product** and need it to stand out in a crowded market; **Differentiating your brand** from competitors who all look the same; **Escaping commodity status** where you compete only on price; **Planning a marketing strategy** with limited advertising budget; **Finding your remarkable angle** when "good enough" isn't working
ai-video-qa
by guia-matthieuValidez la qualité de vos vidéos IA avant publication avec une checklist complète couvrant technique, créatif, et positionnement marque. Use when: **Avant publication** - Dernière validation avant mise en ligne; **Revue client** - Préparer les points de feedback anticipés; **Itération qualité** - Identifier les problèmes à corriger; **Go/No-Go decision** - Décider si la vidéo est prête; **Post-mortem** - Analyser pourquoi une vidéo a (ou n'a pas) performé
ai-voice-design
by guia-matthieuConcevez et générez des voix IA pour vos vidéos en utilisant ElevenLabs ou Qwen3-TTS, avec clonage vocal, design par description, et synchronisation lip-sync. Use when: **Créer une voix de marque** - Définir le ton vocal pour une campagne; **Cloner une voix existante** - Reproduire une voix avec autorisation; **Designer une voix originale** - Créer une voix à partir d'une description; **Multi-personnages** - Gérer plusieurs voix dans une même vidéo; **Lip-sync vidéo IA** - Synchroniser voix e...
sonic-branding
by guia-matthieuBuild a complete audio identity for your brand using the 7-step methodology—from brand assessment through deployment—creating memorable sonic assets that drive recognition and trust. Use when: Creating audio branding for a new company; Refreshing outdated brand sounds; Developing audio guidelines for consistent usage; Planning sonic identity across touchpoints; Briefing agencies on audio branding projects
ai-video-prompting
by guia-matthieuGénérez des prompts optimisés pour chaque modèle de génération vidéo IA (Veo 3, Runway Gen-3, Kling 2.6, Pika), en exploitant leurs forces spécifiques. Use when: **Animer des frames de storyboard** - Transformer des images fixes en vidéo; **Choisir le bon modèle** - Sélectionner Veo, Runway, Kling ou Pika selon le besoin; **Optimiser la qualité de génération** - Prompts structurés pour meilleurs résultats; **Créer des transitions fluides** - Scene extension, first/last frame; **Utiliser le mo...
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.