nextjs-performance▌
giuseppe-trisciuoglio/developer-kit · updated Apr 8, 2026
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Comprehensive Next.js performance optimization covering Core Web Vitals, modern React patterns, and production-grade techniques.
- ›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
- ›Includes Next.js
Next.js Performance Optimization
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/imagefor faster loading - Configure font optimization with
next/fontto 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
- Apply Next.js 16 and React 19 modern patterns
Coverage Areas
- Core Web Vitals optimization (LCP, INP, CLS)
- Image optimization with
next/image - Font optimization with
next/font - Caching strategies (
unstable_cache,revalidateTag, ISR) - Server Components patterns and Client-to-Server conversion
- Streaming and Suspense for progressive loading
- Bundle optimization and code splitting
- Metadata and SEO configuration
- Route handlers optimization
- Next.js 16 + React 19 patterns
Instructions
Before Starting
- Analyze current performance with Lighthouse
- Identify bottlenecks - check Core Web Vitals in Chrome DevTools or PageSpeed Insights
- Determine optimization priority:
- LCP issues → Focus on images, fonts
- INP issues → Reduce JS, use Server Components
- CLS issues → Add dimensions, use next/font
How to Use This Skill
-
Load relevant reference files based on the area you're optimizing:
- Image issues →
references/image-optimization.md - Font/layout shift →
references/font-optimization.md - Caching →
references/caching-strategies.md - Component architecture →
references/server-components.md
- Image issues →
-
Follow the quick patterns for common optimizations
-
Apply before/after conversions to improve existing code
-
Verify improvements with Lighthouse after changes
Core Principles
- Prefer Server Components - Only use 'use client' when necessary (browser APIs, interactivity)
- Load components as low as possible - Keep Client Components at leaf nodes
- Use Suspense boundaries - Enable streaming and progressive loading
- Cache appropriately - Use tags for granular revalidation
- Measure before/after - Always verify improvements with real metrics
Examples
Example 1: Convert Client Component to Server Component
BEFORE (Client Component with useEffect):
'use client'
import { useEffect, useState } from 'react'
export default function ProductList() {
const [products, setProducts] = useState([])
useEffect(() => {
fetch('/api/products').then(r => r.json()).then(setProducts)
}, [])
return <ul>{products.map(p => <li key={p.id}>{p.name}</li>)}</ul>
}
AFTER (Server Component with direct data access):
import { db } from '@/lib/db'
export default async function ProductList() {
const products = await db.product.findMany()
return <ul>{products.map(p => <li key={p.id}>{p.name}</li>)}</ul>
}
Example 2: Optimize Images for LCP
import Image from 'next/image'
export function Hero() {
return (
<div className="relative w-full h-[600px]">
<Image
src="/hero.jpg"
alt="Hero"
fill
priority // Disable lazy loading for LCP
sizes="100vw"
className="object-cover"
/>
</div>
)
}
Example 3: Implement Caching Strategy
import { unstable_cache, revalidateTag } from 'next/cache'
// Cached data function
const getProducts = unstable_cache(
async () => db.product.findMany(),
['products'],
{ revalidate: 3600, tags: ['products'] }
)
// Revalidate on mutation
export async function createProduct(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',
})
export default function RootLayout({ children }) {
return (
<html lang="en" className={inter.variable}>
<body className={`${inter.className} antialiased`}>
{children}
</body>
</html>
)
}
Example 5: Implement Suspense Streaming
import { Suspense } from 'react'
export default function Page() {
return (
<>
<header>Static content (immediate)</headerhow to use nextjs-performanceHow to use nextjs-performance on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add nextjs-performance
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill nextjs-performanceThe skills CLI fetches nextjs-performance from GitHub repository giuseppe-trisciuoglio/developer-kit and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/nextjs-performanceReload or restart Cursor to activate nextjs-performance. Access the skill through slash commands (e.g., /nextjs-performance) or your agent's skill management interface.
⚠Security & Verification 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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
✓Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
✓Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
✓Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›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
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate 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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.8★★★★★28 reviews- ★★★★★Chaitanya Patil· Dec 24, 2024
Solid pick for teams standardizing on skills: nextjs-performance is focused, and the summary matches what you get after install.
- ★★★★★Chen Farah· Dec 16, 2024
Solid pick for teams standardizing on skills: nextjs-performance is focused, and the summary matches what you get after install.
- ★★★★★Piyush G· Nov 15, 2024
We added nextjs-performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kiara Li· Nov 7, 2024
We added nextjs-performance from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chen Chawla· Oct 26, 2024
nextjs-performance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Shikha Mishra· Oct 6, 2024
nextjs-performance fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yash Thakker· Sep 25, 2024
I recommend nextjs-performance for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Evelyn Desai· Sep 17, 2024
I recommend nextjs-performance for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Anika Kapoor· Sep 9, 2024
nextjs-performance reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Naina Okafor· Sep 1, 2024
Solid pick for teams standardizing on skills: nextjs-performance is focused, and the summary matches what you get after install.
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