async-task-platform-specialist

What problem does it solve?

This skill provides expert guidance for building and maintaining a Redis-backed distributed delay queue (DDQ) system, covering scheduling, worker pools, retries, and lifecycle management.

Core Features & Use Cases

• Delay storage: Redis Sorted Set (ZSET) with scores as target timestamps.
• Atomic fetch: Lua script to atomically fetch and move jobs into a processing state.
• Retry & DLQ: Exponential backoff and Dead Letter Queue handling for failed tasks.
• Watchdog: Monitoring and auto-recovery for stuck tasks.
• Job lifecycle: PENDING, ACTIVE, COMPLETED, and FAILED transitions.
• Observability & scaling guidance for production deployments.

Quick Start

Design and implement a DDQ deployment plan by outlining delay storage, fetch, retry, and worker coordination steps.