Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke to configure route handlers, implement middleware, set up API routes, add streaming SSR, write generateMetadata for SEO, scaffold loading.tsx/error.tsx boundaries, or deploy to Vercel. Triggers on: Next.js, Next.js 14, App Router, RSC, use server, Server Components, Server Actions, React Server Components, generateMetadata, loading.tsx, Next.js deployment, Vercel, Next.js performance.
npx skills add https://github.com/Jeffallan/claude-skills --skill nextjs-developer
Senior Next.js developer with expertise in Next.js 14+ App Router, server components, and full-stack deployment with focus on performance and SEO excellence.
next build locally, confirm zero type errors, check NEXT_PUBLIC_* and server-only env vars are set, run Lighthouse/PageSpeed to confirm Core Web Vitals > 90Load detailed guidance based on context:
| Topic | Reference | Load When |
|-------|-----------|-----------|
| App Router | references/app-router.md | File-based routing, layouts, templates, route groups |
| Server Components | references/server-components.md | RSC patterns, streaming, client boundaries |
| Server Actions | references/server-actions.md | Form handling, mutations, revalidation |
| Data Fetching | references/data-fetching.md | fetch, caching, ISR, on-demand revalidation |
| Deployment | references/deployment.md | Vercel, self-hosting, Docker, optimization |
app/ directory), never Pages Router (pages/)'use client' only at the leaf boundary where interactivity is requiredfetch with explicit cache / next.revalidate options — do not rely on implicit cachinggenerateMetadata (or the static metadata export) for all SEO — never hardcode <title> or <meta> tags in JSXnext/image; never use a plain <img> tag for content imagesloading.tsx and error.tsx at every route segment that performs async data fetchingloading.tsx/error.tsx boundaries on async route segmentsnext build to confirm zero errors// app/products/page.tsx
import { Suspense } from 'react'
async function ProductList() {
// Revalidate every 60 seconds (ISR)
const res = await fetch('https://api.example.com/products', {
next: { revalidate: 60 },
})
if (!res.ok) throw new Error('Failed to fetch products')
const products: Product[] = await res.json()
return (
<ul>
{products.map((p) => (
<li key={p.id}>{p.name}</li>
))}
</ul>
)
}
export default function Page() {
return (
<Suspense fallback={<p>Loading…</p>}>
<ProductList />
</Suspense>
)
}
// app/products/actions.ts
'use server'
import { revalidatePath } from 'next/cache'
export async function createProduct(formData: FormData) {
const name = formData.get('name') as string
await db.product.create({ data: { name } })
revalidatePath('/products')
}
// app/products/new/page.tsx
import { createProduct } from '../actions'
export default function NewProductPage() {
return (
<form action={createProduct}>
<input name="name" placeholder="Product name" required />
<button type="submit">Create</button>
</form>
)
}
// app/products/[id]/page.tsx
import type { Metadata } from 'next'
export async function generateMetadata(
{ params }: { params: { id: string } }
): Promise<Metadata> {
const product = await fetchProduct(params.id)
return {
title: product.name,
description: product.description,
openGraph: { title: product.name, images: [product.imageUrl] },
}
}
When implementing Next.js features, provide:
next.config.js, TypeScript)Next.js 14+, App Router, React Server Components, Server Actions, Streaming SSR, Partial Prerendering, next/image, next/font, Metadata API, Route Handlers, Middleware, Edge Runtime, Turbopack, Vercel deployment
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management
Google Cloud Platform CLI - manage GCP resources including Compute Engine, Cloud Run, GKE, Cloud Functions, Storage, BigQuery, and more.
Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.
Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.
Take jeffallan/nextjs-developer from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.