SkillsApr 6, 2026·2 min read

Vercel Skills — Agent Skill Ecosystem & CLI

Open agent skills ecosystem from Vercel. Install packaged SKILL.md instruction sets into Claude Code, Cursor, Codex, and 30+ AI agents with one command. 13,000+ GitHub stars.

TL;DR
Install packaged SKILL.md instruction sets into Claude Code, Cursor, Codex, and 30+ AI agents with one CLI command.
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What it is

Vercel Skills is an open ecosystem for packaging and distributing AI agent instructions as SKILL.md files. Each skill is a self-contained instruction set that teaches an AI coding agent how to perform a specific task, from database migrations to deployment workflows. The CLI lets you install skills into Claude Code, Cursor, Codex, and over 30 other AI agents with a single command.

This tool serves developers who want to standardize how their AI agents behave across projects and teams. Instead of copy-pasting system prompts, you install versioned skills that update like packages.

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How it saves time or tokens

Skills reduce token waste by providing focused, pre-tested instructions instead of verbose ad-hoc prompts. A well-written skill replaces paragraphs of context-setting with a single install command. The token_estimate for this workflow is approximately 3,000 tokens per session, primarily consumed loading the skill definition.

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How to use

  1. Install the Vercel Skills CLI globally via npm
  2. Browse available skills or create your own SKILL.md files
  3. Run skills add <skill-name> to install a skill into your current project
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Example

# Install the CLI
npm install -g @vercel/skills

# Add a skill to your project
skills add vercel/next-deploy

# List installed skills
skills list

# Create your own skill
skills init my-custom-skill
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Related on TokRepo

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Common pitfalls

  • Skills are agent-specific in some cases; verify compatibility with your AI tool before installing
  • Overly broad skills that try to cover too many tasks perform worse than focused, single-purpose skills
  • Custom skills need clear, unambiguous instructions since different AI agents interpret vague language differently

Frequently Asked Questions

Which AI agents does Vercel Skills support?+

Vercel Skills supports over 30 AI agents including Claude Code, Cursor, Codex, Windsurf, Cline, and others. The SKILL.md format is designed to be agent-agnostic, though some skills include agent-specific optimizations.

How do I create my own skill?+

Run 'skills init my-skill' to scaffold a new SKILL.md file. Write clear instructions describing what the agent should do, include examples, and publish it to the skills registry or keep it local to your project.

Are skills version-controlled?+

Yes. Skills are versioned like npm packages. You can pin a specific version in your project configuration to ensure consistent behavior across team members and CI environments.

Do skills consume extra tokens?+

Skills add their instruction text to the agent context, which consumes tokens. Well-written skills are concise and targeted, typically adding 500 to 3,000 tokens depending on complexity. This is usually less than manually explaining the same task.

Can I use skills in a CI/CD pipeline?+

Yes. The CLI can install skills in non-interactive mode, making it suitable for CI/CD environments where AI agents run automated tasks like code review or test generation.

Citations (3)
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Source & Thanks

Created by Vercel Labs. Licensed under MIT.

skills — ⭐ 13,000+

Thanks to Vercel for building the npm of AI agent skills.

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