This gives you production-ready patterns for integrating Celery with Django, covering everything from initial setup to canvas workflows. It shows you how to structure tasks for idempotency and retries, configure workers and beat schedulers, and handle time limits gracefully. The examples are concrete, like exponential backoff with jitter for API sync tasks and crontab schedules for periodic jobs. What I appreciate is that it doesn't just show the happy path. It includes patterns for handling soft time limits, retry strategies for rate-limited APIs, and idempotent task design so tasks can safely run multiple times. If you're offloading email sends, PDF generation, or scheduled reports from your Django request cycle, this covers the patterns you actually need in production.
npx -y skills add affaan-m/ecc --skill django-celery --agent claude-codeInstalls into .claude/skills of the current project.
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