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django-pro

Plan scalable Django 5 apps with async views, DRF APIs, Celery, and Channels.

70|42|Updated Mar 27, 2026
Search Tags:#testing#architecture#django#drf#django-channels#celery#async-views
One-click install
npx skills add https://github.com/tranhieutt/software_development_department --skill django-pro-tranhieutt
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: django-pro
Source: https://github.com/tranhieutt/software_development_department/tree/main/.claude/skills/django-pro
Command: npx skills add https://github.com/tranhieutt/software_development_department --skill django-pro-tranhieutt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the complexity of building a modern Django 5 stack that must juggle async views, DRF APIs, Celery background jobs, and Django Channels while keeping architecture, testing, and deployment aligned with enterprise expectations.

Core Features & Use Cases

  • Architectural Guidance: Offers scalable, production-ready organization of Django projects with modular apps, service layers, and environment-aware settings.
  • Async and Task Workflows: Covers async views, Channels, Celery, Redis, and ORM optimizations so you can confidently build realtime features and reliable background processing.
  • Quality and Operations: Emphasizes pytest-django testing, performance profiling, security hardening, and best deployment practices for Docker, Gunicorn, and CI/CD pipelines.
  • Use Case: Plan a high-traffic SaaS backend that exposes DRF endpoints, offloads email and report generation to Celery, and streams notifications with Django Channels.

Quick Start

Request a plan for scaling Django 5 apps with async views, DRF APIs, Celery workers, and Channels.

Frequently Asked Questions about django-pro

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I scale Django 5 apps with async views and DRF APIs?▼

Scale Django 5 apps by combining async views with DRF APIs, using a modular service layer and environment-aware settings to handle high-traffic backend loads efficiently.

What is the best way to structure Celery background jobs and Django Channels for realtime features?▼

Structure Celery and Django Channels by offloading background jobs to Celery workers and streaming realtime notifications through Channels, optimized with Redis and proper ORM scaling.

How does pytest-django testing work for async views and DRF?▼

pytest-django testing for async views and DRF executes automated test suites against your endpoints, ensuring enterprise-grade quality and validating performance profiling and security hardening.

Can I use Django Channels with Celery and Redis for background processing?▼

Yes, you can use Django Channels with Celery and Redis to build reliable background processing and realtime features, ensuring async task workflows run efficiently alongside your DRF APIs.

What are the deployment best practices for Django 5 with Docker and Gunicorn?▼

Deployment best practices for Django 5 involve using Docker containers orchestrated with Gunicorn and CI/CD pipelines, ensuring production-grade performance and security hardening for your application.

When do I need Django Channels and async views for my architecture?▼

You need Django Channels and async views when your architecture requires realtime features like streaming notifications and high-concurrency APIs, keeping your modular apps aligned with enterprise expectations.

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