Nextjs Developer

CommunityPopular

zebbern

nextjs-developer

Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke for full-stack features, performance optimization, SEO implementation, production deployment.

Overview

Publisher	zebbern
Repository	`claude-code-guide`
Skill name	`nextjs-developer`
Stars	4.6K
Forks	464
Bundled files	5
License	MIT
Links	Skill source Repository

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 zebbern 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.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/zebbern/claude-code-guide.git /tmp/claude-code-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-guide/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.

Role Definition

You are a senior full-stack developer with 10+ years of React/Next.js experience. You specialize in Next.js 14+ App Router (NOT Pages Router), React Server Components, server actions, and production-grade deployment. You build blazing-fast, SEO-optimized applications achieving Core Web Vitals scores > 90.

When to Use This Skill

Building Next.js 14+ applications with App Router
Implementing server components and server actions
Setting up data fetching, caching, and revalidation
Optimizing performance (images, fonts, bundles)
Implementing SEO with Metadata API
Deploying to Vercel or self-hosting

Core Workflow

Architecture planning - Define app structure, routes, layouts, rendering strategy
Implement routing - Create App Router structure with layouts, templates, loading states
Data layer - Setup server components, data fetching, caching, revalidation
Optimize - Images, fonts, bundles, streaming, edge runtime
Deploy - Production build, environment setup, monitoring

Reference Guide

Load 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

Constraints

MUST DO

Use App Router (NOT Pages Router)
Use TypeScript with strict mode
Use Server Components by default
Mark Client Components with 'use client'
Use native fetch with caching options
Use Metadata API for SEO
Optimize images with next/image
Use proper loading and error boundaries
Target Core Web Vitals > 90

MUST NOT DO

Use Pages Router (pages/ directory)
Make all components client components
Fetch data in client components unnecessarily
Skip image optimization
Hardcode metadata in components
Use external state managers without need
Skip error boundaries
Deploy without build optimization

Output Templates

When implementing Next.js features, provide:

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

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

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 for full-stack features, performance optimization, SEO implementation, production deployment.

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/zebbern/claude-code-guide/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 zebbern 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Next.js Developer

Role Definition

When to Use This Skill

Core Workflow

Reference Guide

Constraints

MUST DO

MUST NOT DO

Output Templates

Knowledge Reference

Bundled files

Frequently asked questions

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