Covers Core Web Vitals optimization (LCP, INP, CLS), image/font optimization with next/image and next/font , and caching strategies using unstable_cache and revalidateTag
Guides conversion of Client Components to Server Components, implementation of Suspense streaming for progressive loading, and bundle size reduction through code splitting
Fetches nextjs-performance from giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
3
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
│ ●Cursor(selected)
│ · Cursor · Aider · Continue
4
Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/nextjs-performance
Restart Cursor to activate nextjs-performance. Access via /nextjs-performance in your agent's command palette.
⚠
Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Expert guidance for optimizing Next.js applications with focus on Core Web Vitals, modern patterns, and best practices.
Overview
This skill provides comprehensive guidance for optimizing Next.js applications. It covers Core Web Vitals optimization (LCP, INP, CLS), modern React patterns, Server Components, caching strategies, and bundle optimization techniques. Designed for developers already familiar with React/Next.js who want to implement production-grade optimizations.
When to Use
Use this skill when working on Next.js applications and need to:
Optimize Core Web Vitals (LCP, INP, CLS) for better performance and SEO
Implement image optimization with next/image for faster loading
Configure font optimization with next/font to eliminate layout shift
Set up caching strategies using unstable_cache, revalidateTag, or ISR
Convert Client Components to Server Components for reduced bundle size
Implement Suspense streaming for progressive page loading
Analyze and reduce bundle size with code splitting and dynamic imports
Configure metadata and SEO for better search engine visibility
Optimize API route handlers for better performance
import{ db }from'@/lib/db'exportdefaultasyncfunctionProductList(){const products =await db.product.findMany()return<ul>{products.map(p =><likey={p.id}>{p.name}</li>)}</ul>}
Example 2: Optimize Images for LCP
importImagefrom'next/image'exportfunctionHero(){return(<divclassName="relative w-full h-[600px]"><Imagesrc="/hero.jpg"alt="Hero"fillpriority// Disable lazy loading for LCPsizes="100vw"className="object-cover"/></div>)}
Example 3: Implement Caching Strategy
import{ unstable_cache, revalidateTag }from'next/cache'// Cached data functionconst getProducts =unstable_cache(async()=> db.product.findMany(),['products'],{ revalidate:3600, tags:['products']})// Revalidate on mutationexportasyncfunctioncreateProduct(data:FormData){'use server'await db.product.create({ data })revalidateTag('products')}
Example 4: Setup Optimized Fonts
import{Inter}from'next/font/google'const inter =Inter({ subsets:['latin'], display:'swap', variable:'--font-inter',})exportdefaultfunctionRootLayout({ children }){return(<htmllang="en"className={inter.variable}><bodyclassName={`${inter.className} antialiased`}>{children}</body></html>)}
›Claude Desktop or compatible AI client with skill support
›Clear understanding of task or problem to solve
›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Steps
1Install skill using provided installation command
2Test with simple use case relevant to your work
3Evaluate output quality and relevance
4Iterate on prompts to improve results
5Integrate into regular workflow if valuable
Common Pitfalls
⚠Expecting perfect results without iteration
⚠Not providing enough context in prompts
⚠Using skill for tasks outside its intended scope
⚠Accepting outputs without review and validation
Best Practices
✓ Do
+Start with clear, specific prompts
+Provide relevant context and constraints
+Review and refine all outputs before using
+Iterate to improve output quality
+Document successful prompt patterns
✗ Don't
−Don't use without understanding skill limitations
−Don't skip validation of outputs
−Don't share sensitive information in prompts
−Don't expect skill to replace human judgment
💡 Pro Tips
★Be specific about desired format and style
★Ask for multiple options to choose from
★Request explanations to understand reasoning
★Combine AI efficiency with human expertise
When to Use This
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path
1Familiarize yourself with skill capabilities and limitations
2Start with low-risk, non-critical tasks
3Progress to more complex and valuable use cases
4Build expertise through regular use and experimentation
