Nextjs Optimization
CheckedHelps 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
Run this in your project
terminal$ npx skills add atman36/ai-vibe-prompts --skill nextjs-optimization -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto 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.
Automated safety checks
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.
- Commit
- cd0b859699
- Scanned
- 1 file, 552 lines
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.