Django Celery Expert

What it does

The django-celery-expert skill enables AI agents to manage and optimize Celery tasks within Django applications. It provides capabilities such as configuring task queues, monitoring task execution, and handling failures or retries for asynchronous operations.

When to use it

• When setting up background processing in a Django application using Celery.
• To debug or monitor long-running tasks that are executed asynchronously.
• When implementing retry logic for failed tasks or managing task priorities.
• For optimizing the performance of scheduled jobs and ensuring reliable task execution.

Key capabilities

• Configuring Celery with Django settings
• Monitoring task status and results
• Handling task failures and retries
• Scheduling periodic tasks using Celery Beat

Example prompts

• "Configure Celery to use Redis as a message broker in my Django project."
• "Monitor the status of all running Celery tasks and report any errors."
• "Set up a retry policy for failed tasks with exponential backoff."

Tips & gotchas

Ensure that your Django application has proper Celery and Redis (or another message broker) dependencies installed. Task visibility and monitoring require correct configuration of Celery workers and result backend.