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React Composition Patterns

Official
vercel-labs·vlatest·cloud

Official vercel-labs skill covering Vercel, patterns for building frontend UIs and user experiences.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add vercel-labs/agent-skills --skill vercel-composition-patterns -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

vercel-labs

Matched to the vendor's own GitHub organisation.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    SKILL.md frontmatter is missing description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned vercel-labs/agent-skills at 063bee94c3.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
14 files, 1,925 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The vercel-composition-patterns skill provides AI agents with the ability to compose and manage frontend applications using patterns optimized for Vercel's ecosystem. It enables efficient structuring of components, routing, and deployment strategies tailored for modern web development workflows.

When to use it

  • When building a React-based application that needs modular component composition.
  • When setting up serverless functions or edge functions with optimal performance in mind.
  • When deploying frontend applications on Vercel and needing best practices for structure and scalability.
  • When integrating multiple micro-frontends into a single cohesive user experience.

Key capabilities

  • Modular component composition strategies
  • Optimized routing patterns for Vercel deployments
  • Integration of serverless functions with frontend logic
  • Best practices for edge computing and performance

Example prompts

  • "Compose a modular React app using Vercel's recommended patterns."
  • "Set up edge functions to enhance the performance of my frontend application."
  • "Integrate multiple micro-frontends into one deployment on Vercel."

Tips & gotchas

  • Ensure your project is set up with Vercel CLI for full compatibility.
  • Some advanced composition features may require additional configuration in vercel.json.