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 scheduled tasks, cron jobs, recurring background work (Vercel Cron, Cloudflare Workers Cron, Inngest, node-cron), and distributed scheduling / Panduan ahli untuk tugas terjadwal, cron job, pekerjaan latar belakang berulang, dan penjadwalan terdistribusi.
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。
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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 implementing scheduled tasks, cron jobs, and recurring background work in modern web applications. Covers Vercel Cron Jobs, Cloudflare Workers Cron Triggers, Inngest scheduled functions, node-cron, BullMQ repeatable jobs, distributed cron locking (Redis-based), timezone-aware scheduling, and common use cases (cleanup jobs, report generation, health checks, subscription renewals).
Activate this skill when:
| Platform | Best For | Max Frequency | Invocation Model |
|---|---|---|---|
| Vercel Cron | Vercel-hosted Next.js apps | 1/min (Pro), 1/day (Hobby) | HTTP endpoint trigger |
| Cloudflare Workers Cron | Edge-first apps | 1/min | Worker script trigger |
| Inngest | Complex workflows, fan-out | Any (event-driven) | Serverless function |
| BullMQ Repeatable | Self-hosted, Redis-backed | Any | Worker process |
| node-cron | Simple Node.js servers | Any | In-process |
| Trigger.dev v3 | Durable scheduled tasks | Any | Serverless function |
Recommendation: Use Vercel Cron for Next.js apps on Vercel. Use Inngest for complex multi-step scheduled workflows. Use BullMQ repeatable jobs for self-hosted environments.
// vercel.json
{
"crons": [
{
"path": "/api/cron/daily-cleanup",
"schedule": "0 3 * * *"
},
{
"path": "/api/cron/hourly-health-check",
"schedule": "0 * * * *"
},
{
"path": "/api/cron/weekly-report",
"schedule": "0 9 * * 1"
}
]
}
// app/api/cron/daily-cleanup/route.ts
import { NextResponse } from 'next/server';
export async function GET(request: Request) {
// Verify the request is from Vercel Cron (not public)
const authHeader = request.headers.get('authorization');
if (authHeader !== `Bearer ${process.env.CRON_SECRET}`) {
return NextResponse.json({ error: 'Unauthorized' }, { status: 401 });
}
try {
// Cleanup expired sessions
const deletedSessions = await db.delete(sessions)
.where(lt(sessions.expiresAt, new Date()));
// Cleanup orphaned uploads (older than 24h, not linked to any record)
const deletedUploads = await db.delete(uploads)
.where(and(
isNull(uploads.linkedRecordId),
lt(uploads.createdAt, new Date(Date.now() - 86400000)),
));
return NextResponse.json({
ok: true,
cleaned: { sessions: deletedSessions.rowCount, uploads: deletedUploads.rowCount },
});
} catch (error) {
console.error('Daily cleanup failed:', error);
return NextResponse.json({ ok: false, error: 'Cleanup failed' }, { status: 500 });
}
}
export const runtime = 'nodejs';
export const maxDuration = 60; // Allow up to 60s for cleanup
// inngest/functions/weekly-report.ts
import { inngest } from '@/lib/inngest';
export const weeklyReportJob = inngest.createFunction(
{
id: 'weekly-usage-report',
name: 'Generate Weekly Usage Report',
},
{ cron: 'TZ=Asia/Jakarta 0 9 * * 1' }, // Every Monday 9 AM WIB
async ({ step }) => {
// Step 1: Gather data
const metrics = await step.run('gather-metrics', async () => {
return await db.query.usageMetrics.findMany({
where: gte(usageMetrics.createdAt, subDays(new Date(), 7)),
});
});
// Step 2: Generate report
const report = await step.run('generate-report', async () => {
return generateWeeklyReport(metrics);
});
// Step 3: Send to admins
await step.run('send-report', async () => {
const admins = await db.query.users.findMany({
where: eq(users.role, 'admin'),
});
for (const admin of admins) {
await emailQueue.add('weekly-report', { to: admin.email, report });
}
});
return { sent: true, reportId: report.id };
},
);
// queues/scheduled-jobs.ts
import { Queue, Worker } from 'bullmq';
const scheduledQueue = new Queue('scheduled', {
connection: { host: process.env.REDIS_HOST },
});
// Add repeatable jobs on startup
export async function registerScheduledJobs() {
// Daily cleanup at 3 AM
await scheduledQueue.add('daily-cleanup', {}, {
repeat: { pattern: '0 3 * * *', tz: 'Asia/Jakarta' },
jobId: 'daily-cleanup', // Prevent duplicates on restart
});
// Every 5 minutes: health check
await scheduledQueue.add('health-check', {}, {
repeat: { every: 5 * 60 * 1000 }, // 5 minutes in ms
jobId: 'health-check',
});
// Monthly: subscription renewal check (1st of each month at midnight)
await scheduledQueue.add('subscription-renewal', {}, {
repeat: { pattern: '0 0 1 * *', tz: 'Asia/Jakarta' },
jobId: 'subscription-renewal',
});
}
// Worker
const worker = new Worker('scheduled', async (job) => {
switch (job.name) {
case 'daily-cleanup':
await performDailyCleanup();
break;
case 'health-check':
await performHealthCheck();
break;
case 'subscription-renewal':
await checkSubscriptionRenewals();
break;
}
}, { connection: { host: process.env.REDIS_HOST } });
// lib/cron-lock.ts
import { Redis } from 'ioredis';
const redis = new Redis(process.env.REDIS_URL!);
/**
* Acquire a distributed lock to prevent duplicate cron execution
* across multiple server instances.
*/
export async function acquireCronLock(
jobName: string,
ttlSeconds: number = 300,
): Promise<boolean> {
const lockKey = `cron-lock:${jobName}`;
// SET NX (only if not exists) with TTL
const result = await redis.set(lockKey, Date.now().toString(), 'EX', ttlSeconds, 'NX');
return result === 'OK';
}
export async function releaseCronLock(jobName: string): Promise<void> {
await redis.del(`cron-lock:${jobName}`);
}
// Usage in cron handler
export async function GET(request: Request) {
const locked = await acquireCronLock('daily-cleanup', 300);
if (!locked) {
return Response.json({ skipped: true, reason: 'Already running on another instance' });
}
try {
await performDailyCleanup();
return Response.json({ ok: true });
} finally {
await releaseCronLock('daily-cleanup');
}
}
| Schedule | Cron Expression | Description |
|---|---|---|
| Every minute | * * * * * | Health checks, queue monitoring |
| Every 5 minutes | */5 * * * * | Cache warming, metric aggregation |
| Every hour | 0 * * * * | Data sync, report generation |
| Daily at 3 AM | 0 3 * * * | Cleanup, backups |
| Weekly Monday 9 AM | 0 9 * * 1 | Weekly reports |
| Monthly 1st at midnight | 0 0 1 * * | Billing cycles, subscription renewals |
| Weekdays at 8 AM | 0 8 * * 1-5 | Business notifications |
| Anti-Pattern | Problem | Correct Approach |
|---|---|---|
| No distributed locking | Duplicate execution across instances | Use Redis-based NX lock |
| Long-running cron without timeout | Resource exhaustion, overlapping runs | Set maxDuration and use lock TTL |
| No monitoring of cron failures | Silent failures go unnoticed | Log results, alert on failures |
| Hardcoded timezone | Jobs run at wrong time after DST | Always use explicit tz parameter |
| Cron job does too much work | Timeout, partial completion | Break into smaller steps (Inngest/Temporal) |
async-queue-temporal-expert — BullMQ repeatable jobs, Inngest scheduled functionscloud-hosting-expert — Vercel Cron, Cloudflare Workers Cron configurationsaas-billing — Subscription renewal checks, billing cycle jobsemail-notification-expert — Scheduled email digests, daily summariesdata-telemetry-expert — Scheduled metric aggregation and reportinglogging-error-tracking-expert — Cron job failure monitoring<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 mengimplementasikan tugas terjadwal, cron job, dan pekerjaan latar belakang berulang di aplikasi web modern. Mencakup Vercel Cron Jobs, Cloudflare Workers Cron Triggers, Inngest scheduled functions, node-cron, BullMQ repeatable jobs, distributed cron locking (berbasis Redis), penjadwalan sadar zona waktu, dan kasus penggunaan umum (pembersihan data, pembuatan laporan, health check, perpanjangan langganan).
Aktifkan skill ini ketika:
async-queue-temporal-expert — BullMQ repeatable jobs, Inngest scheduled functionscloud-hosting-expert — Konfigurasi Vercel Cron, Cloudflare Workers Cronsaas-billing — Pemeriksaan perpanjangan langganan, siklus billingemail-notification-expert — Digest email terjadwal, ringkasan hariandata-telemetry-expert — Agregasi metrik terjadwal dan pelaporan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。