Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for Next.js 15 App Router: RSC, Server Actions, Middleware, Parallel/Intercepting Routes, Streaming, and Caching strategies / Panduan ahli untuk Next.js 15 App Router.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
<a name="english"></a>
Execute advanced Next.js 15 App Router architectural patterns: React Server Components (RSC), React 19 Server Actions, Middleware routing, Parallel/Intercepting Routes, Streaming/Suspense, Partial Prerendering (PPR), and explicit cache invalidation.
app/ directory applications.pages/ directory to App Router.force-cache, revalidatePath, tags).app/ components are Server Components. No hooks (useState) or browser APIs."use client" only for interactivity/browser APIs. Push client boundaries down the component tree.children to Client Components; do not import Server Components into Client Components directly.Use Server Actions (useActionState) for all mutations. Avoid separate API routes.
'use server'
import { revalidateTag } from 'next/cache';
import { z } from 'zod';
import { db } from '@/lib/db';
const schema = z.object({ email: z.string().email() });
export async function subscribeUser(prevState: any, formData: FormData) {
const parsed = schema.safeParse({ email: formData.get('email') });
if (!parsed.success) return { error: 'Invalid email' };
await db.subscribers.insert({ email: parsed.data.email });
revalidateTag('subscribers');
return { success: true };
}
Render modals preserving background page context and URL shareability.
(.)[segment]): Matches route on client-side navigation.@modal): Renders simultaneously with layout.tsx children.app/
├── @modal/
│ ├── (.)photos/[id]/page.tsx
│ └── default.tsx
├── photos/
│ └── [id]/page.tsx
├── layout.tsx
└── page.tsx
Fetch requests are not cached by default. Opt-in explicitly:
// Indefinite cache
const res = await fetch('https://api.example.com/data', { cache: 'force-cache' });
// Time-Based Revalidation (ISR)
const res = await fetch('https://api.example.com/data', { next: { revalidate: 3600 } });
// On-Demand Revalidation
const res = await fetch('https://api.example.com/data', { next: { tags: ['collection'] } });
// In server action: revalidateTag('collection')
Wrap slow fetches in <Suspense> to stream UI instantly:
import { Suspense } from 'react';
import { Skeleton } from '@/components/ui/skeleton';
export default function DashboardPage() {
return (
<main>
<h1>Dashboard</h1>
<Suspense fallback={<Skeleton className="h-64 w-full" />}>
<SlowRevenueChart />
</Suspense>
</main>
);
}
senior-frontend: Enhances UI/UX with Next.js App Router RSC and Next 15 caching.js-backend-expert: Bridges frontend Server Actions with backend Node.js/Bun architectures.tanstack-query-expert: Manages client-side state hydration from RSC.performance-web-vitals: Optimizes Core Web Vitals using Streaming and PPR.<a name="bahasa-indonesia"></a>
Terapkan pola arsitektur lanjutan Next.js 15 App Router: React Server Components (RSC), React 19 Server Actions, Middleware, Parallel/Intercepting Routes, Streaming/Suspense, Partial Prerendering (PPR), dan invalidasi cache eksplisit.
app/ direktori baru.pages/ ke App Router.force-cache, revalidatePath, tags).app/ adalah Server Components. Tanpa hooks/API browser."use client" hanya untuk interaktivitas. Dorong batas klien ke bawah struktur komponen.children ke Client Components; jangan impor langsung.Gunakan Server Actions (useActionState) untuk mutasi. Hindari pembuatan API routes terpisah.
Validasi input di server dengan Zod dan gunakan revalidateTag untuk perbarui UI.
Gunakan untuk modal. Mencegat rute navigasi client-side (URL berubah, modal di atas halaman saat ini). Refresh langsung memuat halaman penuh.
Fungsi fetch tidak di-cache default. Aktifkan eksplisit via { cache: 'force-cache' } atau { next: { revalidate: 3600 } }. Gunakan cache tags untuk invalidasi spesifik.
Bungkus pengambilan data lambat dengan <Suspense> untuk menampilkan UI awal seketika sambil menunggu data (streaming).
senior-frontend: Menguatkan UI/UX dengan pemahaman arsitektur RSC dan cache Next 15.js-backend-expert: Menghubungkan Server Actions dengan arsitektur backend Node.js/Bun.tanstack-query-expert: Mengelola hidrasi state client-side dari RSC.performance-web-vitals: Optimalisasi Core Web Vitals menggunakan Streaming dan PPR.まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Expert guide for automated and manual Web Accessibility (a11y) testing — axe-core, Pa11y, Playwright a11y, screen reader testing, and WCAG 2.2 Level AA/AAA compliance / Panduan ahli pengujian aksesibilitas web.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for intelligent model cascading and routing — complexity-scored task routing from Flash/Haiku to Sonnet/Opus/Astra, dynamic escalation with quality gates, 40-60% token cost reduction while maintaining output quality / Panduan ahli untuk kaskade dan routing model cerdas — routing tugas berbasis skor kompleksitas dari Flash/Haiku ke Sonnet/Opus/Astra, eskalasi dinamis dengan gerbang kualitas, pengurangan biaya token 40-60% dengan kualitas output terjaga.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for AI-assisted coding workflows — agentic code generation, multi-agent code swarms, self-healing CI/CD, automated PR review, spec-to-code pipelines, codebase knowledge graphs, and human-in-the-loop approval gates / Panduan ahli untuk workflow pengkodean berbasis AI — generasi kode agentic, code swarm multi-agen, CI/CD self-healing, review PR otomatis, pipeline spec-to-code, knowledge graph codebase, dan gate persetujuan human-in-the-loop.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for long-term episodic memory integration (Mem0 v2, Letta/MemGPT, Zep v2), memory tier architecture, pgvector HNSW storage, and unified context management for autonomous AI agents / Panduan ahli untuk integrasi memori episodik jangka panjang (Mem0 v2, Letta/MemGPT, Zep v2), arsitektur tier memori, penyimpanan pgvector HNSW, dan manajemen konteks terpadu untuk agen AI otonom.
日本語の概要は準備中です。原文の説明を表示しています。
Expert guide for designing Machine-to-Machine (M2M) micro-economies, autonomous agent wallets, and swarm budget allocation / Panduan ahli merancang ekonomi mikro antar-agen (M2M), dompet agen otonom, dan alokasi anggaran swarm.
日本語の概要は準備中です。原文の説明を表示しています。