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...
co-founder-dynamics
by LeadMagicComplete co-founder playbook for technical founders — finding co-founders, equity splits (dynamic and static), co-founder agreements, vesting schedules, working relationships, conflict resolution, co-founder breakups, and the "dating before marrying" framework. Use when looking for a co-founder, structuring a founding team, negotiating equity, or navigating co-founder relationship challenges. Covers YC advice, First Round, and a16z resources.
hiring-agencies
by LeadMagicEvaluate, hire, and manage GTM agencies — outbound, RevOps/Clay, demand gen, design, and dev shops. Agency vs in-house decision framework, pilot structure, scorecards, kill switches, and handoff to internal teams. Use when outsourcing GTM execution, evaluating an outbound agency, or deciding agency vs first hire. Triggers on: "hire agency", "outbound agency", "GTM agency", "Clay agency", "RevOps agency", "agency vs in-house", "outsource GTM", "marketing agency", "dev shop", "manage agency".
hiring-contractors
by LeadMagicHire and manage contractors for SaaS startups — where to find them, how to structure engagements, IP assignment, rates by role, and management practices that produce quality work without full-time overhead. Use when hiring freelance developers, designers, writers, or any contract talent. Triggers on: "hire contractor", "freelance developer", "contract work", "outsource development", "find a designer", "contract vs employee", or any contractor hiring request.
mql-nurture
by LeadMagicBuild MQL nurture programs — lead scoring, nurture tracks, email drip sequences, MQL→SQL conversion. Triggers on: "MQL nurture", "lead nurture", "nurture tracks", "MQL to SQL", "lead scoring".
v0-lander
by LeadMagicStep-by-step guide to building GTM landing pages with v0 by Vercel — the AI generative UI platform. Covers prompt engineering for v0, iterating on generated UI, exporting to Next.js, deploying on Vercel, and connecting forms/analytics. Use when building a landing page, pricing page, waitlist page, event page, or marketing microsite with v0. Triggers on: "v0", "v0 by Vercel", "v0 landing page", "build landing page with AI", "v0 pricing page", "v0 tutorial".
founder-sales
by LeadMagicFounder-led sales playbook for $0-5M ARR stages. Use when founder is primary seller, building sales process from scratch, transitioning from founder-led to AE-led, or designing demo/negotiation/close motions as a technical founder.
clay-toolkit
by LeadMagicClay platform GTM toolkit — table architecture, LeadMagic-first waterfall enrichment, Claygent, credit optimization, CRM push, and formulas. Use when building Clay tables or designing enrichment chains. Not for recurring loops (clay-loops-toolkit) or rollout process (clay-automation). Triggers on: "Clay toolkit", "Clay setup", "Clay waterfall", "Claygent", "Clay enrichment", "Clay table", "LeadMagic Clay column".
clay-automation
by LeadMagicBuild production-grade Clay enrichment workflows — table architecture, waterfall configuration, Claygent AI research, Sculptor table building, CRM push with clay_status properties, credit optimization. Use when building Clay tables, configuring enrichment waterfalls, setting up Claygent, or automating GTM workflows in Clay. Triggers on: "Clay", "Clay workflow", "Clay table", "Claygent", "Sculptor", "Clay enrichment", "Clay waterfall", "Clay automation", or any request about building workflows in Clay.
qbr-planning
by LeadMagicPlan and execute Quarterly Business Reviews — value documentation, ROI presentation, executive alignment, and expansion roadmap. Use when preparing for QBRs, business reviews with customers, or executive stakeholder meetings. Triggers on: "QBR", "quarterly business review", "executive business review", "customer review", "value review", or any request about strategic customer meetings.
tracking-plan
by LeadMagicMaster analytics tracking plan for PLG and B2B SaaS — unified event taxonomy, pixel strategy (1P and 3P tagging), marketing attribution architecture, CDP implementation (Segment, Rudderstack), product analytics (Amplitude, Mixpanel, PostHog), CRM tracking (HubSpot, Salesforce), and analytics infrastructure design. Use when building a complete tracking plan, designing analytics architecture, implementing product analytics, or aligning marketing and product tracking. Triggers on: "tracking plan", "analytics plan", "event tracking architecture", "pixel strategy", "analytics for PLG", "SaaS analytics".
yc-ecosystem
by LeadMagicNavigate the public YC ecosystem for founder GTM: company research, batch mapping, outreach angles, application positioning, founder network use, and launch leverage. Use when researching YC companies, preparing YC applications, planning YC-style launch motion, or mapping startup ecosystem opportunities.
revenue-team-onboarding
by LeadMagicRevenue team onboarding — security access provisioning, ramp schedules, 30-60-90 plans, Slack engagement, shadowing, certification, and time-to-first-meeting reduction. Use when onboarding SDRs, AEs, managers, or RevOps hires. Triggers on: "sales onboarding", "SDR ramp", "30-60-90 sales", "reduce ramp time", "Slack for sales team", "security onboarding employees", "new rep onboarding", "sales bootcamp".
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.