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Production-grade Django + Celery patterns: setup, task design, beat scheduling, retries, canvas workflows, testing, and monitoring for background jobs.
This skill collects production-ready patterns and examples for integrating Celery into Django projects. It covers setup (broker/backends), app entrypoints, task design (idempotency, retries, soft/hard time limits), scheduling with Celery Beat (code and database-driven), chaining/grouping (chain/group/chord), testing strategies, and operational monitoring (Flower, inspect, Redis checks).
Activate when adding background processing to a Django app: sending emails, generating PDFs, syncing to external systems, scheduling periodic jobs, or when you need guidance on retries, dead-letter handling, and monitoring task health. Useful during development and production hardening.
Useful for agents that generate or modify project code (Copilot-style, Codex, or developer-focused assistants) and for ops agents that can run CLI commands to manage workers and monitors.
Django+Celery async task patterns skill — comprehensive, well-organized reference covering setup, task design, beat scheduling, canvas workflows, error handling, testing, and monitoring. No bundled scripts (purely instructional SKILL.md). Clean content with no security concerns; all code examples are educational patterns with no executable risks.
Clean, high-quality instructional skill. Part of Claude Code hackathon winners. No security issues whatsoever. Anti-patterns section is a nice touch for production guidance.
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