Django Celery Expert

If you're running background jobs in Django with Celery, this covers the full stack: task design patterns, transaction safety with the ORM, idempotency, broker and result backend configuration, exponential backoff retries, dead letter queues, and production monitoring with Flower and Prometheus. It's organized by category (Django integration, error handling, periodic tasks, deployment) with dedicated reference files for each. The approach is methodical: you classify your question, it reads the relevant references, then responds. Most useful when you're past the hello world stage and dealing with real problems like stuck tasks, race conditions in transactions, or scaling workers in production. Saves you from stitching together blog posts and Stack Overflow threads.

skills.sh installs: 1.2K
GitHub stars: 172
last updated: Aug 21, 2026

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Install

$ npx -y skills add vintasoftware/django-ai-plugins --skill django-celery-expert --agent claude-code

Installs into .claude/skills of the current project.

Files

Django Celery Expert

Instructions

Step 1: Classify the Request

Identify the task category from the request:

Django integration — transaction safety, ORM patterns, testing, request correlation → read references/django-integration.md
Task design — new tasks, calling patterns, chains/groups/chords, idempotency → read references/task-design-patterns.md
Configuration — broker setup, result backend, worker settings, queue routing → read references/configuration-guide.md
Error handling — retries, backoff, dead letter queues, timeouts → read references/error-handling.md
Periodic tasks — Celery Beat, crontab schedules, dynamic schedules, timezone handling → read references/periodic-tasks.md
Monitoring — Flower, Prometheus, logging, debugging stuck tasks → read references/monitoring-observability.md
Production deployment — scaling, supervision, containers, health checks → read references/production-deployment.md