Skip to content
TrustedSkillsbeta
Back to all skills

Nextjs Optimization

Checked
atman36·vlatest·frontend

Helps with Next.js, optimization as part of building frontend UIs and user experiences workflows.

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 atman36/ai-vibe-prompts --skill nextjs-optimization -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

atman36

Taken from the source listing. We haven't verified who controls this account.

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a 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 atman36/ai-vibe-prompts at cd0b859699.

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

Scanned
1 file, 552 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

This skill empowers AI agents to identify performance bottlenecks in Next.js applications and generate targeted code for optimization. It streamlines the process of improving load times, reducing bundle sizes, and enhancing overall application efficiency through automated analysis and refactoring suggestions.

When to use it

  • Analyzing a slow-loading production build to pinpoint specific rendering or hydration issues.
  • Reducing JavaScript bundle size by identifying unused components or assets within a Next.js project.
  • Generating code for implementing advanced caching strategies like SWR, React Query, or Image Optimization.
  • Refactoring legacy codebases to leverage the latest Next.js 13+ features such as Server Components.

Key capabilities

  • Performance profiling and bottleneck detection specific to the React ecosystem.
  • Automated generation of optimized code snippets for image handling and font optimization.
  • Suggestions for dynamic vs. static rendering strategies based on content requirements.
  • Integration guidance for Next.js middleware and edge functions to reduce latency.

Example prompts

  • "Analyze this Next.js component tree and suggest changes to improve First Contentful Paint (FCP)."
  • "Generate a script to automatically detect and remove unused dependencies in my Next.js project."
  • "Refactor this page to use Server Components where appropriate to reduce client-side JavaScript."

Tips & gotchas

Ensure your Next.js version is up-to-date before running optimization tasks, as features like Server Components require specific versions. Always test generated optimizations in a staging environment first, as aggressive code splitting or rendering changes can sometimes introduce new bugs or break existing functionality.