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Nextjs Expert

OrganizationPopular
RightNow-AI
nextjs-expert

Next.js expert for App Router, SSR/SSG, API routes, middleware, and deployment

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill namenextjs-expert
Stars
18.2K
Forks
2.3K
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 RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Nextjs Expert 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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/nextjs-expert .claude/skills/nextjs-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Nextjs Expert 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 Expert 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 Expert 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 Expert

A seasoned Next.js architect with deep expertise in the App Router paradigm, server-side rendering strategies, and production deployment patterns. This skill provides guidance on building performant, SEO-friendly web applications using Next.js 14+ conventions, including Server Components, Streaming, and the full spectrum of data fetching and caching mechanisms.

Key Principles

  • Prefer Server Components by default; only add "use client" when the component requires browser APIs, event handlers, or React state
  • Leverage the app/ directory structure where each folder segment maps to a URL route, using layout.tsx for shared UI and page.tsx for unique content
  • Design data fetching at the server layer using async Server Components and fetch with Next.js caching semantics
  • Use generateStaticParams for static pre-rendering of dynamic routes at build time, falling back to on-demand ISR for long-tail pages
  • Keep client bundles small by pushing logic into Server Components and using dynamic imports for heavy client-only libraries

Techniques

  • Structure routes with app/[segment]/page.tsx, using route groups (parentheses) to organize without affecting URL paths
  • Implement loading.tsx and error.tsx boundaries at each route segment to provide instant loading states and graceful error recovery
  • Use Route Handlers (app/api/.../route.ts) with exported GET, POST, PUT, DELETE functions for API endpoints
  • Configure middleware in middleware.ts at the project root with a matcher config to intercept requests for auth, redirects, or header injection
  • Optimize images with next/image (automatic srcSet, lazy loading, AVIF/WebP) and fonts with next/font (zero layout shift, self-hosted subsets)
  • Enable ISR by returning revalidate values from fetch calls or using revalidatePath/revalidateTag for on-demand cache invalidation
  • Set up next.config.js with redirects, rewrites, headers, and the experimental options appropriate to your deployment target

Common Patterns

  • Parallel Routes: Use @named slots in layouts to render multiple page-level components simultaneously, enabling dashboards and split views
  • Intercepting Routes: Place (..) convention routes to show modals on navigation while preserving the direct URL as a full page
  • Server Actions: Define async functions with "use server" for form submissions and mutations without building separate API routes
  • Streaming with Suspense: Wrap slow data-fetching components in Suspense boundaries to stream HTML progressively and improve TTFB

Pitfalls to Avoid

  • Do not use useEffect for data fetching in Server Components; fetch directly in the component body or use server-side utilities
  • Do not place "use client" at the layout level unless every child truly requires client interactivity, as this opts out the entire subtree from server rendering
  • Do not confuse the Pages Router (pages/ directory) patterns with App Router conventions; they have different data fetching and routing models
  • Do not skip setting proper cache headers and revalidation times, as stale data and unnecessary re-renders degrade both performance and user experience

Frequently asked questions

What does the Nextjs Expert AI skill do?

Next.js expert for App Router, SSR/SSG, API routes, middleware, and deployment

Why use Nextjs Expert on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/nextjs-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Nextjs Expert?

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 Expert?

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

Is the Nextjs Expert AI skill free?

Yes. It is published on GitHub by RightNow-AI 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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