async-queue

Implement asynchronous background job processing with idempotency keys and retry policies.

Updated Mar 20, 2026
One-click install
npx skills add https://github.com/hendrax5/ironman --skill async-queue
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: async-queue
Source: https://github.com/hendrax5/ironman/tree/main/skills/async-queue
Command: npx skills add https://github.com/hendrax5/ironman --skill async-queue

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a standardized approach to running asynchronous background jobs reliably and safely, preventing duplicate executions and ensuring failed work is tracked and recoverable.

Core Features & Use Cases

  • Idempotency: Use idempotency keys to avoid duplicate processing when clients retry requests.
  • Retry Policy & Backoff: Exponential backoff with configurable max attempts and retryable error lists to handle transient failures.
  • Dead Letter Queue & Observability: Move permanently failing jobs to a DLQ with full payload and error history for manual investigation and replay.
  • Use Case: Enqueue long-running tasks like report generation, email delivery, or external API calls, return 202 Accepted with a job ID, and let workers process and update job status until completion.

Quick Start

Enqueue a job with an X-Idempotency-Key header, return 202 Accepted with a job ID, and poll the job status endpoint until the job completes.

Frequently Asked Questions about async-queue

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent duplicate background jobs when clients retry requests?

Background job processing prevents duplicate executions by using idempotency keys. When clients retry requests with the same key, the system recognizes the duplicate and avoids processing the same job twice.

What is the best way to handle transient failures in asynchronous background jobs?

Asynchronous background jobs handle transient failures using an exponential backoff retry policy. This approach applies configurable max attempts and retryable error lists to automatically retry failed tasks until they succeed.

How do I manage permanently failing jobs in a background queue?

Permanently failing jobs in a background queue are moved to a dead-letter queue. This retains the full payload and error history for manual investigation and later replay.

How do I return asynchronous responses for long-running tasks like report generation?

For long-running tasks like report generation, enqueue the job with an idempotency key and return a 202 Accepted response with a job ID. Clients then poll the job status endpoint until completion.

What worker best practices should I follow for reliable background job processing?

Reliable background job processing requires worker best practices including graceful shutdown procedures and concurrency limits. These ensure stable job lifecycle tracking and prevent system overload during task execution.