auto-job-queue

Enforce idempotency, retry policies, and dead-lettering for background job queues.

6|Updated Mar 31, 2026
One-click install
npx skills add https://github.com/Corvalis-LLC/Crow-Stack --skill auto-job-queue
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: auto-job-queue
Source: https://github.com/Corvalis-LLC/Crow-Stack/tree/main/skills/auto-job-queue
Command: npx skills add https://github.com/Corvalis-LLC/Crow-Stack --skill auto-job-queue

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Production job processing often suffers from duplicates, unbounded retries, failed jobs escaping visibility, and unsafe dequeue patterns. This Skill prescribes disciplined patterns to make background processing dependable, observable, and recoverable.

Core Features & Use Cases

  • Idempotent processing: ensure reprocessing does not cause duplicate effects.
  • Poison-pill protection and dead-lettering: quarantine malformed jobs and alert on growth.
  • Bounded retries with backoff and backpressure: retry with exponential delays and respect queue depth.
  • Graceful shutdown: finish in-flight work and avoid data loss during termination.
  • Observability and recovery: monitor DLQ, job state, and retry metrics for rapid incident response.

Quick Start

Use this skill to implement reliable background processing by enforcing idempotency, retry policies, and dead-lettering.

Frequently Asked Questions about auto-job-queue

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

FAQPage Schema
How do I make background job processing idempotent and prevent duplicate effects?

Idempotent job processing ensures reprocessing a job does not cause duplicate effects. You enforce this by implementing idempotency checks during job execution, preventing duplicate side effects even if a worker dequeues the same message multiple times.

What is the best way to handle poison-pill messages and malformed payloads in a worker queue?

Poison-pill protection handles malformed payloads by quarantining problematic jobs into a dead-letter queue. This prevents endless retry loops while routing failed jobs away from the main worker queue for manual inspection and alerting on DLQ growth.

How do I implement bounded retries with exponential backoff in message consumers?

Bounded retries with exponential backoff limit retry attempts using a defined retry budget. You apply exponential delays between retry attempts and respect queue depth backpressure to prevent overwhelming downstream systems during transient failures.

How does graceful shutdown work for in-flight jobs during worker termination?

Graceful shutdown for worker queues finishes currently executing in-flight work before terminating the process. This bounded shutdown window prevents data loss and partial processing states when a job consumer receives a termination signal.

Why do I need dead-letter routing and queue depth awareness in production job queues?

Dead-letter routing and queue depth awareness provide observability and recovery for production job queues. Monitoring DLQ growth and job state enables rapid incident response, preventing unbounded retries and failed jobs from escaping visibility.