Add Background Jobs Automatically
Automatically add background jobs, queues, and scheduled tasks to existing apps.
Secure checkout via Stripe
Works with the AI tools you already use
See it in action
You say
Move the PDF generation logic in routes/reports.js to a background job using the BullMQ setup we already have in the project. Schedule it to prune old reports every Sunday at midnight.
Your agent does
Project Detected: Node.js / Express Background Job Added: - pdf-generation-job - Sunday at 00:00 (Pruning) / On-demand (Generation) - Offloads PDF creation and cleans up expired files. Queue: BullMQ with existing Redis config. Files Modified: - src/jobs/reportJob.js - src/routes/reports.js - .env.example
What you get
About this skill
The problem
Request handlers are timing out because they are performing heavy tasks like report generation or email sending during the request-response cycle. Manually setting up background workers involves boilerplate, retry logic, and complex infrastructure configuration that is easy to misconfigure.
What it does
- Detects existing project frameworks and task queues to maintain architectural consistency.
- Moves slow synchronous logic into idempotent background jobs with bounded retry policies.
- Configures worker processes, job handlers, and schedulers for recurring tasks.
- Injects failure logging and environment-based configuration for queue connections.
- Validates the new job flow by running local tests and temporary worker checks.
Frameworks & tools
Works with existing project infrastructure including Redis, RabbitMQ, and framework-native systems like BullMQ, Sidekiq, Celery, or Cron.
Why this beats prompting it yourself
Writing a job is easy, but making it reliable is hard. This skill enforces production-ready standards like idempotency, retry limits, and credential safety that basic prompts often skip.
Use cases
- Offload email sending and notification dispatching from the main API thread.
- Schedule daily database cleanups or weekly PDF report generation.
- Implement asynchronous file processing for large user uploads.
- Add retry logic and failure handling to flaky external API integrations.
Known limitations
Requires an existing project workspace. Will not provision external cloud infrastructure like managed Redis instances or AWS SQS queues automatically.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
Reviews
No reviews yet
Be one of the first to try it. Every listed skill passes our trust checks below.
Security scanned
Passed our 8-point scan before listing
Fresh listing
Recently published to Agensi
30-day refund
Not a fit? Get your money back
Trust & safety
Security scanned
Verified clean today
- 30-day refund guarantee
- One-time purchase, yours forever
- Secure checkout via Stripe