Is this skill limited to specific Node.js frameworks?

No, it works across the Node.js ecosystem, including NestJS, Express, and Next.js, as long as BullMQ is utilized for job management.

Does it support complex job relationships?

Yes, it provides patterns for FlowProducers, allowing you to manage parent-child job dependencies and create complex, reliable multi-step workflows.

What is the BullMQ Specialist skill?

It is a specialized capability for Claude Code focused on designing, implementing, and debugging Redis-backed job queues using the BullMQ library in Node.js and TypeScript.

How does this skill help with application performance?

By offloading long-running or resource-intensive tasks to background workers, it ensures your main application remains responsive while maintaining high throughput.

Can it help resolve Redis-related queuing issues?

Absolutely. It identifies common anti-patterns such as giant job payloads and provides strategies for optimizing Redis connections and worker concurrency.

BullMQ Specialist

Name: BullMQ Specialist
Author: claudiodearaujo

byclaudiodearaujo

API 개발

Architects and optimizes Redis-backed background job queues and reliable asynchronous task processing for Node.js applications.

소개

This skill empowers Claude with deep expertise in BullMQ to design scalable background processing systems that decouple services and handle traffic spikes effectively. It provides comprehensive guidance on job scheduling, parent-child dependencies through FlowProducers, and worker concurrency optimization, ensuring your asynchronous architecture is resilient against common pitfalls like bloated payloads or missing dead-letter queues. Whether you are debugging stuck jobs at scale or building complex multi-step workflows, this skill ensures production-grade queue management and high-performance execution.

주요 기능

0 GitHub stars
Advanced job scheduling and repeatable task patterns
Complex multi-step job flows and dependency management
Rate limiting and job priority configuration
Worker concurrency and throughput optimization
Robust error handling with Dead Letter Queue (DLQ) strategies

사용 사례

Decoupling heavy processing from HTTP request-response cycles
Implementing reliable multi-step workflows with parent-child dependencies
Managing scheduled tasks like automated reports or email notifications

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front bullmq-specialist

For use in Claude.ai and ChatGPT

Download Skill

GitHub

소개