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Nextjs Mastery

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rohitg00
nextjs-mastery

Next.js 14+ App Router patterns including RSC, ISR, middleware, parallel routes, and data fetching

Overview

Publisherrohitg00
Repositoryawesome-claude-code-toolkit
Skill namenextjs-mastery
Stars
2.6K
Forks
963
Bundled files
Instructions only
LicenseApache-2.0
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 rohitg00 on GitHub. Read the source before you install it.

Installation

Install the Nextjs Mastery 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/rohitg00/awesome-claude-code-toolkit.git /tmp/awesome-claude-code-toolkit
mkdir -p .claude/skills
cp -r /tmp/awesome-claude-code-toolkit/skills/nextjs-mastery .claude/skills/nextjs-mastery
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nextjs Mastery 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 Mastery 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 Mastery 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 Mastery

App Router Structure

app/
  layout.tsx              # Root layout (wraps all pages)
  page.tsx                # Home route /
  loading.tsx             # Route-level Suspense fallback
  error.tsx               # Route-level error boundary
  not-found.tsx           # Custom 404
  (marketing)/
    about/page.tsx        # /about (grouped without URL segment)
  dashboard/
    layout.tsx            # Nested layout for /dashboard/*
    page.tsx              # /dashboard
    @analytics/page.tsx   # Parallel route slot
    @activity/page.tsx    # Parallel route slot
    settings/
      page.tsx            # /dashboard/settings
  api/
    webhooks/route.ts     # Route handler (POST /api/webhooks)

Route groups (name) organize code without affecting URLs. Parallel routes @slot render multiple pages simultaneously.

Server Components and Data Fetching

tsx
async function ProductPage({ params }: { params: Promise<{ id: string }> }) {
  const { id } = await params;
  const product = await db.product.findUnique({ where: { id } });

  if (!product) notFound();

  return (
    <div>
      <h1>{product.name}</h1>
      <p>{product.description}</p>
      <Suspense fallback={<ReviewsSkeleton />}>
        <Reviews productId={id} />
      </Suspense>
    </div>
  );
}

async function Reviews({ productId }: { productId: string }) {
  const reviews = await db.review.findMany({ where: { productId } });
  return (
    <ul>
      {reviews.map(r => <li key={r.id}>{r.text} - {r.rating}/5</li>)}
    </ul>
  );
}

Server Components are the default. They run on the server, can access databases directly, and send zero JavaScript to the client.

ISR and Caching

tsx
export const revalidate = 3600;

async function BlogPage() {
  const posts = await fetch("https://api.example.com/posts", {
    next: { revalidate: 3600, tags: ["posts"] },
  }).then(r => r.json());

  return <PostList posts={posts} />;
}
tsx
import { revalidateTag, revalidatePath } from "next/cache";

export async function createPost(formData: FormData) {
  "use server";
  await db.post.create({ data: { title: formData.get("title") as string } });
  revalidateTag("posts");
  revalidatePath("/blog");
}

Middleware

typescript
import { NextResponse } from "next/server";
import type { NextRequest } from "next/server";

export function middleware(request: NextRequest) {
  const token = request.cookies.get("session")?.value;

  if (request.nextUrl.pathname.startsWith("/dashboard") && !token) {
    return NextResponse.redirect(new URL("/login", request.url));
  }

  const response = NextResponse.next();
  response.headers.set("x-request-id", crypto.randomUUID());
  return response;
}

export const config = {
  matcher: ["/dashboard/:path*", "/api/:path*"],
};

Middleware runs at the edge before every matched request. Keep it lightweight.

Server Actions

tsx
"use server";

import { z } from "zod";
import { revalidatePath } from "next/cache";

const schema = z.object({
  email: z.string().email(),
  name: z.string().min(2).max(100),
});

export async function updateProfile(prevState: any, formData: FormData) {
  const parsed = schema.safeParse(Object.fromEntries(formData));
  if (!parsed.success) {
    return { errors: parsed.error.flatten().fieldErrors };
  }

  await db.user.update({
    where: { email: parsed.data.email },
    data: { name: parsed.data.name },
  });

  revalidatePath("/profile");
  return { success: true };
}

Anti-Patterns

  • Adding 'use client' to top-level layout or page components
  • Fetching data on the client when it can be done in a Server Component
  • Using useEffect for data fetching instead of Server Components or use()
  • Not wrapping slow async components with <Suspense>
  • Putting heavy logic in middleware (it runs on every matched request)
  • Ignoring loading.tsx and error.tsx conventions

Checklist

  • Server Components used by default; 'use client' only on interactive leaves
  • Data fetching happens in Server Components with proper caching
  • <Suspense> boundaries wrap independent async sections
  • loading.tsx and error.tsx exist for key routes
  • Middleware is lightweight and only handles auth/redirects/headers
  • Server Actions validate input with Zod before database writes
  • revalidateTag or revalidatePath called after mutations
  • Route groups and parallel routes used to organize complex layouts

Frequently asked questions

What does the Nextjs Mastery AI skill do?

Next.js 14+ App Router patterns including RSC, ISR, middleware, parallel routes, and data fetching

Why use Nextjs Mastery on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rohitg00/awesome-claude-code-toolkit/tree/main/skills/nextjs-mastery. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nextjs Mastery?

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 Mastery?

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

Is the Nextjs Mastery AI skill free?

Yes. It is published on GitHub by rohitg00 under the Apache-2.0 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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