Agent Skills
Agent Skills Directory
Discover and install AI agent skills from the skills.sh ecosystem.
665,038
Total Skills
28.7M
Total Installs
#1 Most Installed
Install
npx skills add vercel-labs/skills --skill find-skills 2.0M
Installs
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Top Skills
Ranked by total installs across the ecosystem.
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Organizations and authors with the most installed skills.
What are Agent Skills?
Agent skills are instruction packages that teach AI coding agents how to perform specific tasks. Unlike plugins or extensions that add runtime code, skills provide structured knowledge — best practices, coding patterns, framework conventions, and workflow instructions — that agents like Claude Code, Cursor, and Windsurf use to produce better, more contextual output. Think of them as expert playbooks: a React skill teaches your agent how to structure components, manage state, and follow hooks conventions, while a security skill teaches it to spot and prevent common vulnerabilities.
How do skills work?
Each skill is a text-based instruction file stored in a GitHub repository. When installed, it becomes part of your project's context that the AI agent reads before generating code. Skills are versioned, open-source, and community-maintained. The skills.sh registry indexes skills from across GitHub, tracks install counts, and runs automated security audits through multiple scanners (Socket, Snyk, ATH) to ensure packages are safe to use.
How to install a skill
Installation is a single command. Run the install command shown on any skill card (e.g., npx skills add owner/repo --skill skill-name) in your project directory. The skill file is downloaded and placed in your project. No build step, no configuration — your AI agent picks it up automatically on the next interaction. You can install multiple skills, update them individually, or remove them at any time.
Browse by source
Every skill is linked to a GitHub repository. Organizations like Vercel, Anthropic, and independent developers publish skill collections covering frameworks (React, Next.js, Vue), languages (TypeScript, Python, Rust), tools (Docker, Terraform, Kubernetes), and domains (accessibility, performance, security). Browse by source to find curated skill sets from authors you trust.
Why use skills?
Without skills, AI agents rely on their general training data, which may be outdated or lack project-specific conventions. Skills fill this gap: they encode the latest framework patterns, your organization's coding standards, and domain expertise directly into the agent's context. Teams report fewer code review iterations, more consistent output, and faster onboarding when agents are equipped with the right skills.
Security and trust
Every skill indexed in the registry undergoes automated security analysis through multiple independent scanners. Risk levels (Safe, Medium, Critical) are displayed on each skill card so you can make informed decisions. Since skills are plain text instructions hosted on GitHub, you can always review the exact content before installing. There's no hidden code execution — skills are read-only context for your AI agent.
Data on this page is sourced from the skills.sh agent skills registry. Skills and install counts are updated regularly.
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