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 file uploads (S3, R2, Supabase Storage), presigned URLs, image/video processing, CDN optimization, and media pipeline architecture / Panduan ahli untuk upload file (S3, R2, Supabase Storage), presigned URL, pemrosesan gambar/video, optimasi CDN, dan arsitektur pipeline media.
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Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and session-memory-manager to ensure cohesive execution.
Production-grade guide for building secure, performant file upload systems and media processing pipelines. Covers presigned URL upload patterns (S3, R2, Supabase Storage), multipart uploads with progress tracking, image optimization (Sharp, Cloudflare Images, Vercel OG), video transcoding (Mux, Cloudflare Stream), PDF generation, file validation & virus scanning, CDN configuration, and drag-and-drop UI components.
Activate this skill when:
| Provider | Best For | Key Strength | Egress Cost |
|---|---|---|---|
| Cloudflare R2 | Cost-sensitive, global | Zero egress fees, S3-compatible | $0 |
| AWS S3 | Enterprise, AWS ecosystem | Most mature, rich feature set | $0.09/GB |
| Supabase Storage | Supabase-powered apps | RLS integration, built-in transforms | Included in plan |
| UploadThing | Quick prototyping | React components, zero config | Included in plan |
| Vercel Blob | Vercel-hosted apps | Seamless Vercel integration | Included in plan |
Recommendation: Use Cloudflare R2 for most production apps (zero egress, S3-compatible). Use Supabase Storage if already on Supabase. Use UploadThing for rapid prototyping.
┌──────────┐ 1. Request URL ┌──────────┐
│ Client │ ──────────────────────► │ Server │
│ (Browser) │ │ (API) │
│ │ ◄────────────────────── │ │
│ │ 2. Presigned URL │ │
│ │ └──────────┘
│ │ 3. Upload file
│ │ ──────────────────────► ┌──────────┐
│ │ │ Storage │
│ │ ◄────────────────────── │ (S3/R2) │
└──────────┘ 4. Success response └──────────┘
// app/api/upload/route.ts
import { S3Client, PutObjectCommand } from '@aws-sdk/client-s3';
import { getSignedUrl } from '@aws-sdk/s3-request-presigner';
import { nanoid } from 'nanoid';
const s3 = new S3Client({
region: 'auto',
endpoint: process.env.R2_ENDPOINT, // Cloudflare R2
credentials: {
accessKeyId: process.env.R2_ACCESS_KEY_ID!,
secretAccessKey: process.env.R2_SECRET_ACCESS_KEY!,
},
});
// Allowed file types and max sizes
const ALLOWED_TYPES: Record<string, { maxSize: number; extensions: string[] }> = {
image: { maxSize: 10 * 1024 * 1024, extensions: ['jpg', 'jpeg', 'png', 'webp', 'avif'] },
document: { maxSize: 25 * 1024 * 1024, extensions: ['pdf', 'docx', 'xlsx'] },
video: { maxSize: 500 * 1024 * 1024, extensions: ['mp4', 'webm', 'mov'] },
};
export async function POST(request: Request) {
const { filename, contentType, fileSize, category = 'image' } = await request.json();
// Validate file type
const config = ALLOWED_TYPES[category];
if (!config) return Response.json({ error: 'Invalid category' }, { status: 400 });
const ext = filename.split('.').pop()?.toLowerCase();
if (!ext || !config.extensions.includes(ext)) {
return Response.json({ error: `Invalid file type. Allowed: ${config.extensions.join(', ')}` }, { status: 400 });
}
// Validate file size
if (fileSize > config.maxSize) {
return Response.json({ error: `File too large. Max: ${config.maxSize / 1024 / 1024}MB` }, { status: 400 });
}
// Generate unique key
const key = `uploads/${category}/${nanoid()}.${ext}`;
const command = new PutObjectCommand({
Bucket: process.env.R2_BUCKET_NAME,
Key: key,
ContentType: contentType,
ContentLength: fileSize,
});
const presignedUrl = await getSignedUrl(s3, command, { expiresIn: 600 }); // 10 min
return Response.json({
presignedUrl,
key,
publicUrl: `${process.env.CDN_URL}/${key}`,
});
}
// hooks/use-file-upload.ts
'use client';
import { useState, useCallback } from 'react';
interface UploadState {
progress: number;
isUploading: boolean;
error: string | null;
publicUrl: string | null;
}
export function useFileUpload() {
const [state, setState] = useState<UploadState>({
progress: 0, isUploading: false, error: null, publicUrl: null,
});
const upload = useCallback(async (file: File, category = 'image') => {
setState({ progress: 0, isUploading: true, error: null, publicUrl: null });
try {
// Step 1: Get presigned URL
const res = await fetch('/api/upload', {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
filename: file.name,
contentType: file.type,
fileSize: file.size,
category,
}),
});
if (!res.ok) {
const { error } = await res.json();
throw new Error(error || 'Failed to get upload URL');
}
const { presignedUrl, publicUrl } = await res.json();
// Step 2: Upload to storage with progress
await new Promise<void>((resolve, reject) => {
const xhr = new XMLHttpRequest();
xhr.open('PUT', presignedUrl);
xhr.setRequestHeader('Content-Type', file.type);
xhr.upload.onprogress = (e) => {
if (e.lengthComputable) {
setState(prev => ({ ...prev, progress: Math.round((e.loaded / e.total) * 100) }));
}
};
xhr.onload = () => (xhr.status >= 200 && xhr.status < 300) ? resolve() : reject(new Error(`Upload failed: ${xhr.status}`));
xhr.onerror = () => reject(new Error('Network error during upload'));
xhr.send(file);
});
setState({ progress: 100, isUploading: false, error: null, publicUrl });
return publicUrl;
} catch (error) {
const message = error instanceof Error ? error.message : 'Upload failed';
setState(prev => ({ ...prev, isUploading: false, error: message }));
throw error;
}
}, []);
return { ...state, upload };
}
// components/file-dropzone.tsx
'use client';
import { useCallback, useState, useRef, type DragEvent, type ChangeEvent } from 'react';
import { useFileUpload } from '@/hooks/use-file-upload';
interface FileDropzoneProps {
accept?: string;
maxSize?: number; // bytes
onUploadComplete?: (url: string) => void;
}
export function FileDropzone({ accept = 'image/*', maxSize = 10 * 1024 * 1024, onUploadComplete }: FileDropzoneProps) {
const [isDragOver, setIsDragOver] = useState(false);
const inputRef = useRef<HTMLInputElement>(null);
const { progress, isUploading, error, upload } = useFileUpload();
const handleFile = useCallback(async (file: File) => {
if (file.size > maxSize) {
alert(`File too large. Max size: ${maxSize / 1024 / 1024}MB`);
return;
}
const url = await upload(file);
if (url) onUploadComplete?.(url);
}, [maxSize, upload, onUploadComplete]);
const onDrop = useCallback((e: DragEvent) => {
e.preventDefault();
setIsDragOver(false);
const file = e.dataTransfer.files[0];
if (file) handleFile(file);
}, [handleFile]);
const onChange = useCallback((e: ChangeEvent<HTMLInputElement>) => {
const file = e.target.files?.[0];
if (file) handleFile(file);
}, [handleFile]);
return (
<div
className={`dropzone ${isDragOver ? 'dropzone--active' : ''}`}
onDragOver={(e) => { e.preventDefault(); setIsDragOver(true); }}
onDragLeave={() => setIsDragOver(false)}
onDrop={onDrop}
onClick={() => inputRef.current?.click()}
role="button"
tabIndex={0}
aria-label="Upload file"
>
<input ref={inputRef} type="file" accept={accept} onChange={onChange} hidden />
{isUploading ? (
<div className="upload-progress">
<div className="progress-bar" style={{ width: `${progress}%` }} />
<span>{progress}%</span>
</div>
) : (
<p>Drag & drop a file here, or click to browse</p>
)}
{error && <p className="error-text">{error}</p>}
</div>
);
}
// lib/image-processing.ts
import sharp from 'sharp';
interface ProcessOptions {
width?: number;
height?: number;
quality?: number;
format?: 'webp' | 'avif' | 'jpeg' | 'png';
/** Generate multiple sizes for responsive images */
responsive?: boolean;
}
export async function processImage(buffer: Buffer, options: ProcessOptions = {}) {
const { width = 1200, height, quality = 80, format = 'webp' } = options;
const pipeline = sharp(buffer)
.resize(width, height, { fit: 'inside', withoutEnlargement: true });
switch (format) {
case 'webp': return pipeline.webp({ quality }).toBuffer();
case 'avif': return pipeline.avif({ quality }).toBuffer();
case 'jpeg': return pipeline.jpeg({ quality, mozjpeg: true }).toBuffer();
case 'png': return pipeline.png({ compressionLevel: 9 }).toBuffer();
}
}
/** Generate responsive image set */
export async function generateResponsiveSet(buffer: Buffer) {
const sizes = [320, 640, 960, 1280, 1920];
return Promise.all(
sizes.map(async (w) => ({
width: w,
buffer: await processImage(buffer, { width: w, format: 'webp', quality: 80 }),
key: `w${w}.webp`,
})),
);
}
// lib/avatar.ts
import sharp from 'sharp';
export async function processAvatar(buffer: Buffer): Promise<Buffer> {
return sharp(buffer)
.resize(256, 256, {
fit: 'cover', // Crop to fill
position: 'attention', // Smart crop (focus on faces/subjects)
})
.webp({ quality: 85 })
.toBuffer();
}
// lib/file-validator.ts
import { fileTypeFromBuffer } from 'file-type';
const MAGIC_BYTES_WHITELIST = new Set([
'image/jpeg', 'image/png', 'image/webp', 'image/avif', 'image/gif',
'application/pdf',
'video/mp4', 'video/webm',
]);
export async function validateFile(buffer: Buffer, declaredMimeType: string): Promise<{ valid: boolean; detectedType?: string; error?: string }> {
// Check magic bytes (not just extension/MIME header)
const fileType = await fileTypeFromBuffer(buffer);
if (!fileType) {
return { valid: false, error: 'Unable to determine file type from content' };
}
if (!MAGIC_BYTES_WHITELIST.has(fileType.mime)) {
return { valid: false, detectedType: fileType.mime, error: `File type ${fileType.mime} is not allowed` };
}
// Verify declared type matches actual type
if (fileType.mime !== declaredMimeType) {
return { valid: false, detectedType: fileType.mime, error: `Declared type ${declaredMimeType} doesn't match actual type ${fileType.mime}` };
}
return { valid: true, detectedType: fileType.mime };
}
| Anti-Pattern | Problem | Correct Approach |
|---|---|---|
| Uploading through your API server | Memory pressure, timeout risk, bandwidth cost | Use presigned URLs for direct-to-storage uploads |
| Trusting file extension alone | Malicious files disguised as images | Validate magic bytes with file-type library |
| No file size limit | Storage abuse, OOM errors | Enforce limits both client-side and server-side |
| Storing originals only | Slow load times, excessive bandwidth | Generate optimized responsive variants |
| Public S3 bucket | Data breach risk | Use presigned URLs or CDN with signed URLs |
| Processing images synchronously in API | Blocks request, timeout | Process async (queue) or use on-the-fly transforms (Cloudflare Images) |
cloud-hosting-expert — CDN setup, Cloudflare R2/S3 configurationsenior-frontend — Upload UI components, image optimization in Next.jsperformance-web-vitals — Image loading strategy (lazy loading, srcset, blur placeholder)database-orm-expert — Storing file metadata and referencesproduction-ready-hardener — File upload security auditerror-resilience-expert — Upload retry logic and failure recovery<a name="bahasa-indonesia"></a>
Terhubung dan mengorkestrasi skill domain yang relevan seperti brainstorming, zero-to-prod-orchestrator, dan session-memory-manager untuk memastikan eksekusi yang kohesif.
Panduan tingkat produksi untuk membangun sistem upload file yang aman dan performa tinggi serta pipeline pemrosesan media. Mencakup pola upload presigned URL (S3, R2, Supabase Storage), upload multipart dengan pelacakan progres, optimasi gambar (Sharp, Cloudflare Images, Vercel OG), transcoding video (Mux, Cloudflare Stream), pembuatan PDF, validasi file & pemindaian virus, konfigurasi CDN, dan komponen UI drag-and-drop.
Aktifkan skill ini ketika:
| Provider | Terbaik Untuk | Kekuatan Utama | Biaya Egress |
|---|---|---|---|
| Cloudflare R2 | Hemat biaya, global | Tanpa biaya egress, kompatibel S3 | $0 |
| AWS S3 | Enterprise, ekosistem AWS | Paling matang, fitur lengkap | $0.09/GB |
| Supabase Storage | Aplikasi Supabase | Integrasi RLS, transform bawaan | Termasuk paket |
| UploadThing | Prototipe cepat | Komponen React, tanpa konfigurasi | Termasuk paket |
Rekomendasi: Gunakan Cloudflare R2 untuk kebanyakan app produksi (tanpa egress, S3-kompatibel). Gunakan Supabase Storage jika sudah menggunakan Supabase.
| Anti-Pola | Masalah | Pendekatan yang Benar |
|---|---|---|
| Upload melalui server API | Tekanan memori, risiko timeout | Gunakan presigned URL untuk upload langsung ke storage |
| Mempercayai ekstensi file saja | File berbahaya menyamar sebagai gambar | Validasi magic bytes dengan library file-type |
| Tidak ada batas ukuran file | Penyalahgunaan storage, error OOM | Terapkan batas di sisi klien dan server |
| Menyimpan file asli saja | Waktu muat lambat, bandwidth berlebih | Buat varian responsif yang teroptimasi |
| Bucket S3 publik | Risiko kebocoran data | Gunakan presigned URL atau CDN dengan signed URL |
cloud-hosting-expert — Setup CDN, konfigurasi Cloudflare R2/S3senior-frontend — Komponen UI upload, optimasi gambar di Next.jsperformance-web-vitals — Strategi loading gambar (lazy loading, srcset, blur placeholder)database-orm-expert — Menyimpan metadata file dan referensiproduction-ready-hardener — Audit keamanan upload fileerror-resilience-expert — Logika retry upload dan pemulihan kegagalan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。