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nuxt4-patterns

Nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData. Use when building or reviewing a Nuxt 4 app, or debugging hydration mismatches and SSR-safe data fetching.

What is nuxt4-patterns?

nuxt4-patterns is a Claude Code agent skill that nuxt 4 app patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching with useFetch and useAsyncData. Use when building or reviewing a Nuxt 4 app, or debugging hydration mismatches and SSR-safe data fetching.

Works with~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/nuxt4-patterns

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Documentation

Nuxt 4 Patterns

Use when building or debugging Nuxt 4 apps with SSR, hybrid rendering, route rules, or page-level data fetching.

When to Activate

  • Hydration mismatches between server HTML and client state
  • Route-level rendering decisions such as prerender, SWR, ISR, or client-only sections
  • Performance work around lazy loading, lazy hydration, or payload size
  • Page or component data fetching with useFetch, useAsyncData, or $fetch
  • Nuxt routing issues tied to route params, middleware, or SSR/client differences

Hydration Safety

  • Keep the first render deterministic. Do not put Date.now(), Math.random(), browser-only APIs, or storage reads directly into SSR-rendered template state.
  • Move browser-only logic behind onMounted(), import.meta.client, ClientOnly, or a .client.vue component when the server cannot produce the same markup.
  • Use Nuxt's useRoute() composable, not the one from vue-router.
  • Do not use route.fullPath to drive SSR-rendered markup. URL fragments are client-only, which can create hydration mismatches.
  • Treat ssr: false as an escape hatch for truly browser-only areas, not a default fix for mismatches.

Data Fetching

  • Prefer await useFetch() for SSR-safe API reads in pages and components. It forwards server-fetched data into the Nuxt payload and avoids a second fetch on hydration.
  • Use useAsyncData() when the fetcher is not a simple $fetch() call, when you need a custom key, or when you are composing multiple async sources.
  • Give useAsyncData() a stable key for cache reuse and predictable refresh behavior.
  • Keep useAsyncData() handlers side-effect free. They can run during SSR and hydration.
  • Use $fetch() for user-triggered writes or client-only actions, not top-level page data that should be hydrated from SSR.
  • Use lazy: true, useLazyFetch(), or useLazyAsyncData() for non-critical data that should not block navigation. Handle status === 'pending' in the UI.
  • Use server: false only for data that is not needed for SEO or the first paint.
  • Trim payload size with pick and prefer shallower payloads when deep reactivity is unnecessary.
const route = useRoute()

const { data: article, status, error, refresh } = await useAsyncData(
  () => `article:${route.params.slug}`,
  () => $fetch(`/api/articles/${route.params.slug}`),
)

const { data: comments } = await useFetch(`/api/articles/${route.params.slug}/comments`, {
  lazy: true,
  server: false,
})

Route Rules

Prefer routeRules in nuxt.config.ts for rendering and caching strategy:

export default defineNuxtConfig({
  routeRules: {
    '/': { prerender: true },
    '/products/**': { swr: 3600 },
    '/blog/**': { isr: true },
    '/admin/**': { ssr: false },
    '/api/**': { cache: { maxAge: 60 * 60 } },
  },
})
  • prerender: static HTML at build time
  • swr: serve cached content and revalidate in the background
  • isr: incremental static regeneration on supported platforms
  • ssr: false: client-rendered route
  • cache or redirect: Nitro-level response behavior

Pick route rules per route group, not globally. Marketing pages, catalogs, dashboards, and APIs usually need different strategies.

Lazy Loading and Performance

  • Nuxt already code-splits pages by route. Keep route boundaries meaningful before micro-optimizing component splits.
  • Use the Lazy prefix to dynamically import non-critical components.
  • Conditionally render lazy components with v-if so the chunk is not loaded until the UI actually needs it.
  • Use lazy hydration for below-the-fold or non-critical interactive UI.
<template>
  <LazyRecommendations v-if="showRecommendations" />
  <LazyProductGallery hydrate-on-visible />
</template>
  • For custom strategies, use defineLazyHydrationComponent() with a visibility or idle strategy.
  • Nuxt lazy hydration works on single-file components. Passing new props to a lazily hydrated component will trigger hydration immediately.
  • Use NuxtLink for internal navigation so Nuxt can prefetch route components and generated payloads.

Review Checklist

  • First SSR render and hydrated client render produce the same markup
  • Page data uses useFetch or useAsyncData, not top-level $fetch
  • Non-critical data is lazy and has explicit loading UI
  • Route rules match the page's SEO and freshness requirements
  • Heavy interactive islands are lazy-loaded or lazily hydrated

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

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affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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