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Nextjs Developer

CommunityPopular
Jeffallan
nextjs-developer

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.

Overview

PublisherJeffallan
Repositoryclaude-skills
Skill namenextjs-developer
Stars
11.5K
Forks
1.1K
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Jeffallan on GitHub. Read the source before you install it.

Installation

Install the Nextjs Developer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Jeffallan/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/skills/nextjs-developer .claude/skills/nextjs-developer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nextjs Developer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Nextjs Developer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Nextjs Developer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Next.js 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.

Core Workflow

  1. Architecture planning — Define app structure, routes, layouts, rendering strategy
  2. Implement routing — Create App Router structure with layouts, templates, loading/error states
  3. Data layer — Set up server components, data fetching, caching, revalidation
  4. Optimize — Images, fonts, bundles, streaming, edge runtime
  5. Deploy — Production build, environment setup, monitoring
    • Validate: run 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 > 90

Reference Guide

Load detailed guidance based on context:

TopicReferenceLoad When
App Routerreferences/app-router.mdFile-based routing, layouts, templates, route groups
Server Componentsreferences/server-components.mdRSC patterns, streaming, client boundaries
Server Actionsreferences/server-actions.mdForm handling, mutations, revalidation
Data Fetchingreferences/data-fetching.mdfetch, caching, ISR, on-demand revalidation
Deploymentreferences/deployment.mdVercel, self-hosting, Docker, optimization

Constraints

MUST DO (Next.js-specific)

  • Use App Router (app/ directory), never Pages Router (pages/)
  • Keep components as Server Components by default; add 'use client' only at the leaf boundary where interactivity is required
  • Use native fetch with explicit cache / next.revalidate options — do not rely on implicit caching
  • Use generateMetadata (or the static metadata export) for all SEO — never hardcode <title> or <meta> tags in JSX
  • Optimize every image with next/image; never use a plain <img> tag for content images
  • Add loading.tsx and error.tsx at every route segment that performs async data fetching

MUST NOT DO

  • Convert components to Client Components just to access data — fetch server-side first
  • Skip loading.tsx/error.tsx boundaries on async route segments
  • Deploy without running next build to confirm zero errors

Code Examples

Server Component with data fetching and caching

tsx
// 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>
  )
}

Server Action with form handling and revalidation

tsx
// 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>
  )
}

generateMetadata for dynamic SEO

tsx
// 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] },
  }
}

Output Templates

When implementing Next.js features, provide:

  1. App structure (route organization)
  2. Layout/page components with proper data fetching
  3. Server actions if mutations needed
  4. Configuration (next.config.js, TypeScript)
  5. Brief explanation of rendering strategy chosen

Knowledge Reference

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

Documentation

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Nextjs Developer AI skill do?

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.

Why use Nextjs Developer on TypingMind?

Because you install it once and use it with any model. Nextjs Developer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Nextjs Developer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Jeffallan/claude-skills/tree/main/skills/nextjs-developer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Nextjs Developer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Nextjs Developer?

As many as you like. As long as a model supports skills, you can use Nextjs Developer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Nextjs Developer AI skill free?

Yes. It is published on GitHub by Jeffallan under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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