vintasoftware/django-ai-plugins/django-celery-expert
Claude Code and agent skill by vintasoftware/django-ai-plugins
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Checking that the SKILL.md file is still in the repository.
Expert Django Celery guidance for asynchronous task processing. Use when designing background tasks, configuring Celery workers, handling task retries and errors, optimizing Celery performance, implementing periodic tasks with Celery Beat, or setting up production monitoring for Celery. Do not use for general Django questions unrelated to Celery, non-Celery task systems (Django Q, Huey, RQ), ML/data pipeline orchestration (Airflow, Prefect), or frontend and API-only concerns. Follows Vinta's Django Celery best practices.
Install
npx vskill@latest install vintasoftware/django-ai-plugins/django-celery-expertSKILL.md
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
If the request spans multiple categories, read all relevant reference files before continuing.
Step 2: Read the Reference File(s)
Read each reference file identified in Step 1. Do not proceed to implementation without reading the relevant reference.
Step 3: Implement
Apply the patterns from the reference file. Before presenting the solution, verify:
- Task arguments are serializable (pass IDs, not model instances)
- Tasks with retries enabled are idempotent
- Errors are logged with context
- Long-running tasks have timeouts configured
Examples
Basic Background Task
Request: "Send welcome emails in the background after user registration"
Task with Progress Tracking
Request: "Process a large CSV import with progress updates"
Workflow with Chains
Request: "Process an order: validate inventory, charge payment, then send confirmation"
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/django-celery-expert/SKILL.md
Popularity
- Repository stars
- 121
- Repository forks
- 16
- 7-day trend score
- 24
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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