plugins/developer-kit-typescript/skills/nextjs-performance/SKILL.md
Expert Next.js performance optimization skill covering Core Web Vitals, image/font optimization, caching strategies, streaming, bundle optimization, and Server Components best practices. Use when optimizing Next.js applications for Core Web Vitals (LCP, INP, CLS), implementing next/image and next/font, configuring caching with unstable_cache and revalidateTag, converting Client Components to Server Components, implementing Suspense streaming, or analyzing and reducing bundle size. Supports Next.js 16 + React 19 patterns.
npx skillsauth add giuseppe-trisciuoglio/developer-kit nextjs-performanceInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Expert guidance for optimizing Next.js applications with focus on Core Web Vitals, modern patterns, and best practices.
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.
Use this skill when working on Next.js applications and need to:
next/image for faster loadingnext/font to eliminate layout shiftunstable_cache, revalidateTag, or ISRnext/imagenext/fontunstable_cache, revalidateTag, ISR)Load relevant reference files based on the area you're optimizing:
references/image-optimization.mdreferences/font-optimization.mdreferences/caching-strategies.mdreferences/server-components.mdFollow the quick patterns for common optimizations
Apply before/after conversions to improve existing code
Verify improvements with Lighthouse after changes
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>
}
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>
)
}
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')
}
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>
)
}
import { Suspense } from 'react'
export default function Page() {
return (
<>
<header>Static content (immediate)</header>
<Suspense fallback={<ProductSkeleton />}>
<ProductList /> {/* Streamed when ready */}
</Suspense>
<Suspense fallback={<ReviewsSkeleton />}>
<Reviews /> {/* Independent streaming */}
</Suspense>
</>
)
}
Load these references when working on specific areas:
| Topic | Reference File |
|-------|----------------|
| Core Web Vitals | references/core-web-vitals.md |
| Image Optimization | references/image-optimization.md |
| Font Optimization | references/font-optimization.md |
| Caching Strategies | references/caching-strategies.md |
| Server Components | references/server-components.md |
| Streaming/Suspense | references/streaming-suspense.md |
| Bundle Optimization | references/bundle-optimization.md |
| Metadata/SEO | references/metadata-seo.md |
| API Routes | references/api-routes.md |
| Next.js 16 Patterns | references/nextjs-16-patterns.md |
| From | To | Benefit |
|------|-----|---------|
| useEffect + fetch | Direct async in Server Component | -70% JS, faster TTFB |
| useState for data | Server Component with direct DB access | Simpler code, no hydration |
| Client-side fetch | unstable_cache or ISR | Faster repeated loads |
| img tag | next/image | Optimized formats, lazy loading |
| CSS font import | next/font | Zero CLS, automatic optimization |
| Static import of heavy component | dynamic() | Reduced initial bundle |
next/image for all imagespriority to LCP images onlywidth and height or fill with sizesplaceholder="blur" for better UXnext/font instead of CSS importssubsets to reduce sizedisplay: 'swap' for immediate text rendervariable optionunstable_cachedynamic()@next/bundle-analyzerpriority should only be used for above-the-fold imageswidth and height are required unless using fill// Next.js 15+ params is a Promise
export default async function Page({
params,
}: {
params: Promise<{ slug: string }>
}) {
const { slug } = await params
const post = await fetchPost(slug)
return <article>{post.content}</article>
}
'use client'
import { use, Suspense } from 'react'
function Comments({ promise }: { promise: Promise<Comment[]> }) {
const comments = use(promise) // Suspend until resolved
return <ul>{comments.map(c => <li key={c.id}>{c.text}</li>)}</ul>
}
'use client'
import { useOptimistic } from 'react'
export function TodoList({ todos }: { todos: Todo[] }) {
const [optimisticTodos, addOptimisticTodo] = useOptimistic(
todos,
(state, newTodo: Todo) => [...state, newTodo]
)
async function addTodo(formData: FormData) {
const text = formData.get('text') as string
addOptimisticTodo({ id: crypto.randomUUID(), text, completed: false })
await createTodo(text)
}
return (
<form action={addTodo}>
<input name="text" />
{optimisticTodos.map(todo => <div key={todo.id}>{todo.text}</div>)}
</form>
)
}
# Install analyzer
npm install --save-dev @next/bundle-analyzer
# Run analysis
ANALYZE=true npm run build
// next.config.js
const withBundleAnalyzer = require('@next/bundle-analyzer')({
enabled: process.env.ANALYZE === 'true',
})
module.exports = withBundleAnalyzer({
modularizeImports: {
'lodash': { transform: 'lodash/{{member}}' },
},
})
next/image with proper dimensionspriority attributenext/font with subsets// ❌ DON'T: Fetch in useEffect
'use client'
useEffect(() => { fetch('/api/data').then(...) }, [])
// ✅ DO: Fetch directly in Server Component
const data = await fetch('/api/data')
// ❌ DON'T: Forget dimensions on images
<Image src="/photo.jpg" />
// ✅ DO: Always provide dimensions
<Image src="/photo.jpg" width={800} height={600} />
// ❌ DON'T: Use priority on all images
<Image src="/photo1.jpg" priority />
<Image src="/photo2.jpg" priority />
// ✅ DO: Priority only for LCP
<Image src="/hero.jpg" priority />
<Image src="/photo.jpg" loading="lazy" />
// ❌ DON'T: Cache everything with same TTL
{ revalidate: 3600 }
// ✅ DO: Match TTL to data change frequency
{ revalidate: 86400 } // Categories rarely change
{ revalidate: 60 } // Comments change often
development
Provides security review capability for TypeScript/Node.js applications, validates code against XSS, injection, CSRF, JWT/OAuth2 flaws, dependency CVEs, and secrets exposure. Use when performing security audits, before deployment, reviewing authentication/authorization implementations, or ensuring OWASP compliance for Express, NestJS, and Next.js. Triggers on "security review", "check for security issues", "TypeScript security audit".
development
Provides final code cleanup after task review approval. Removes debug logs, temporary comments, dead code, optimizes imports, and improves readability. Use when asked to clean up code, polish, finalize, tidy up, remove technical debt, or prepare code for completion after review. Not for refactoring logic or fixing bugs—focused solely on cosmetic and hygiene cleanup.
tools
Ralph Wiggum-inspired automation loop for specification-driven development. Orchestrates task implementation, review, cleanup, and synchronization using a Python script. Use when: user runs /loop command, user asks to automate task implementation, user wants to iterate through spec tasks step-by-step, or user wants to run development workflow automation with context window management. One step per invocation. State machine: init → choose_task → implementation → review → fix → cleanup → sync → update_done. Supports --from-task and --to-task for task range filtering. State persisted in fix_plan.json.
testing
Creates, updates, validates, and displays the architectural DNA of a project through two shared documents: docs/specs/architecture.md (technology stack, architectural rules, security constraints, AI guardrails) and docs/specs/ontology.md (domain glossary / Ubiquitous Language). Use BEFORE brainstorm as a project setup step, or at any point in the SDD lifecycle to validate specs/tasks against architecture principles. Triggers on 'create constitution', 'update constitution', 'constitution check', 'validate against constitution', 'project principles', 'architectural guardrails', 'setup project architecture', 'define ontology'.