Nextjs App Router logo

Nextjs App Router

Organization
Asymmetric-al
nextjs-app-router

Ensure correct Next.js App Router architecture, rendering strategy, and data fetching. Use whenever working under /app — routing, layouts, server/client component boundaries, data fetching, Suspense, and Server Actions. Defaults to Server Components and adds 'use client' only for interactivity. Not for the Pages Router (/pages).

Overview

PublisherAsymmetric-al
Repositorycore
Skill namenextjs-app-router
Stars
383
Forks
7
Bundled files
Instructions only
LicenseAGPL-3.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Asymmetric-al on GitHub. Read the source before you install it.

Installation

Install the Nextjs App Router 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/Asymmetric-al/core.git /tmp/core
mkdir -p .claude/skills
cp -r /tmp/core/docs/ai/skills/nextjs-app-router .claude/skills/nextjs-app-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nextjs App Router 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 App Router 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 App Router 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 App Router — Skill

Name: nextjs-app-router Purpose: Ensure correct App Router architecture, rendering strategy, and data fetching in Next.js. Use this skill whenever working under /app.

Applies when: Routing, layouts, server/client boundaries, data fetching, Suspense, Server Actions. Do not use when: Working in the Pages Router (/pages) or non-Next.js projects.

Rules

  • Server-first: Default to Server Components; add 'use client' only for interactivity or browser APIs.
  • Routing/layouts: Use layout.tsx for shared UI; keep layouts stable; use route groups (group) for organization.
  • Data fetching: Fetch in Server Components by default and colocate with usage.
  • Rendering strategy: Choose static, cached, or dynamic intentionally; avoid accidental dynamic rendering.
  • Client components: Keep them small, prop-driven, and avoid server data fetching inside them.
  • Suspense/streaming: Use <Suspense> for slow or user-specific UI.
  • Mutations: Prefer Server Actions and invalidate caches as needed.
  • Errors: Use error.tsx and not-found.tsx for route-level handling.

Workflow

  1. Decide server vs client boundaries first.
  2. Choose the rendering strategy (static/cached/dynamic).
  3. Fetch data in the closest Server Component.
  4. Isolate interactivity into small Client Components.
  5. Add Suspense boundaries for dynamic or slow UI.
  6. Use Server Actions for mutations and add error boundaries.

Checklists

Implementation checklist

  • Server Components used by default
  • Client Components are small and justified
  • Data fetching is colocated and not duplicated
  • Rendering strategy is explicit
  • Suspense isolates dynamic UI
  • Server Actions used for mutations

Review checklist

  • No accidental 'use client' on large trees
  • No server data fetching inside client-only components
  • Errors handled via error.tsx / not-found.tsx

Minimal examples

Server Component (default)

tsx
export default async function Page() {
  const data = await getData();
  return <View data={data} />;
}

Client Component (isolated)

tsx
"use client";

export function Button({ onClick }: { onClick: () => void }) {
  return <button onClick={onClick}>Click</button>;
}

Layout usage

tsx
export default function Layout({ children }: { children: React.ReactNode }) {
  return (
    <>
      <Header />
      {children}
    </>
  );
}

Common mistakes / pitfalls

  • Marking entire pages as 'use client'
  • Fetching server data in Client Components
  • Reading request data in shared/cached logic
  • Overusing route segment config instead of code-local controls
  • Mixing routing concerns with component UI logic

Frequently asked questions

What does the Nextjs App Router AI skill do?

Ensure correct Next.js App Router architecture, rendering strategy, and data fetching. Use whenever working under /app — routing, layouts, server/client component boundaries, data fetching, Suspense, and Server Actions. Defaults to Server Components and adds 'use client' only for interactivity. Not for the Pages Router (/pages).

Why use Nextjs App Router on TypingMind?

Because you install it once and use it with any model. Nextjs App Router 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 App Router in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Asymmetric-al/core/tree/develop/docs/ai/skills/nextjs-app-router. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nextjs App Router?

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 App Router?

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

Is the Nextjs App Router AI skill free?

Yes. It is published on GitHub by Asymmetric-al under the AGPL-3.0 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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