When should I use background jobs instead of inline execution?

Use background jobs for operations exceeding 500ms, resource-intensive tasks like image transcoding, or any workflow where fault tolerance and automatic retries are critical.

What infrastructure is required to use this queue skill?

This skill is designed to work with BullMQ, which requires a Redis instance to manage job states, persistence, and messaging between producers and workers.

How does the skill handle task prioritization?

It supports a priority-based system (0 for Urgent to 3 for Low), ensuring that critical coordinator tasks are processed before routine cleanup or archival jobs.

Can I monitor the status of an asynchronous job?

Yes, the skill provides an API to check job state (waiting, active, completed, failed), track progress percentage, and retrieve results once a worker finishes processing.

What happens if a job fails repeatedly?

The skill utilizes a dead-letter pattern where jobs that exceed their maximum retry attempts are moved to a failed state for manual review or system alerting.

Distributed Job Queue Management

Name: Distributed Job Queue Management
Author: joelhooks

byjoelhooks

•

476

•

生产力与工作流

Manages reliable background job processing and multi-agent task coordination using BullMQ and Redis patterns.

This skill provides a standardized framework for implementing asynchronous workloads and fault-tolerant task execution within multi-agent swarms. It allows developers to offload long-running or resource-intensive operations—such as embedding generation, PDF processing, and large-scale data analysis—to background workers while maintaining full visibility through real-time metrics. By leveraging BullMQ and Redis, the skill offers sophisticated patterns for job prioritization, exponential backoff retries, and worker concurrency management, ensuring that complex agent workflows remain resilient and scalable even under heavy load.

主要功能

01476 GitHub stars

02Real-time queue health monitoring and performance metrics

03Sophisticated retry strategies including exponential backoff and fixed delays

04Four-level job prioritization for urgent versus background task management

05Asynchronous job processing with BullMQ and Redis integration

06Scalable worker configurations with adjustable concurrency limits

使用场景

01Implementing rate-limited API interactions and bulk data transformations across distributed workers

02Offloading resource-intensive ML inference or document processing from the main agent execution loop

03Coordinating long-running multi-agent workflows that require persistence and fault tolerance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add joelhooks/swarm-tools queue

For use in Claude.ai and ChatGPT

Download Skill