Which queue providers are supported by this skill?

The skill includes specialized templates and best practices for BullMQ (Redis-based), Inngest (serverless), and Trigger.dev.

Is this suitable for serverless architectures?

Yes, the skill specifically covers serverless-friendly patterns using providers like Inngest and Trigger.dev that work well in Lambda or Edge environments.

Can I use this skill to schedule recurring tasks?

Yes, it provides patterns for cron-based scheduled jobs, daily reports, and delayed task execution for future processing.

Does it support progress tracking for long-running jobs?

Absolutely. It includes implementation examples for updating job progress and logging intermediate steps during complex operations.

How does this skill handle background job failures?

The patterns come pre-configured with robust error handling, exponential backoff strategies, and configurable retry attempts to ensure job reliability.

Background Jobs Patterns

Name: Background Jobs Patterns
Author: antoineschaller

byantoineschaller

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API Development

Implements robust queue-based job processing and worker patterns for scalable background task management.

About

This skill provides production-ready templates and implementation patterns for handling asynchronous tasks, scheduled cron jobs, and complex multi-step workflows. It includes comprehensive configurations for popular providers like BullMQ, Inngest, and Trigger.dev, enabling developers to offload intensive processing, manage recurring reports, and build resilient serverless workers. Whether you are handling high-volume image processing, bulk data imports, or automated email sequences, these patterns offer built-in error handling, exponential backoff, and progress tracking for reliable backend operations.

Key Features

1 GitHub stars
Serverless worker patterns using Inngest and Trigger.dev
Scheduled (cron) and delayed task execution management
Queue-based job processing with BullMQ and Redis integration
Comprehensive error handling, exponential backoff, and job monitoring
Advanced workflow orchestration for multi-step business processes

Use Cases

Offloading CPU-intensive image processing or bulk data imports from the main application thread
Scheduling recurring automated emails, daily system reports, and periodic database cleanups
Implementing long-running user onboarding workflows with wait steps and re-engagement logic

About

Key Features

1 GitHub stars
Serverless worker patterns using Inngest and Trigger.dev
Scheduled (cron) and delayed task execution management
Queue-based job processing with BullMQ and Redis integration
Comprehensive error handling, exponential backoff, and job monitoring
Advanced workflow orchestration for multi-step business processes

Use Cases

Offloading CPU-intensive image processing or bulk data imports from the main application thread
Scheduling recurring automated emails, daily system reports, and periodic database cleanups
Implementing long-running user onboarding workflows with wait steps and re-engagement logic