django-pro

Automate Django 5.x development with async views, DRF APIs, Celery tasks, and Channels.

Updated Feb 26, 2026
One-click install
npx skills add https://github.com/AndyAnh174/wellness --skill django-pro
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-pro
Source: https://github.com/AndyAnh174/wellness/tree/main/.agent/skills/django-pro
Command: npx skills add https://github.com/AndyAnh174/wellness --skill django-pro

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Django projects often struggle with scaling, async patterns, and maintainable architecture. This skill provides best-practice guidance, patterns, and tooling to build robust Django 5.x apps with DRF, Celery, and Channels.

Core Features & Use Cases

  • Async views, middleware, and ORM optimizations for high-concurrency applications
  • Modular project structure, deployment readiness, and secure defaults for Django projects
  • DRF API development, Celery task queues, and Django Channels for real-time features

Quick Start

Create a new Django 5.x project following the recommended architecture and implement an async DRF endpoint.

Frequently Asked Questions about django-pro

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

FAQPage Schema
How do I build scalable Django 5.x applications with async views?

Scalable Django 5.x applications use async views, middleware, and ORM optimizations to handle high concurrency. This approach applies modular project structures and deployment readiness to maintain robust performance.

What is the best way to integrate Django Channels for real-time features?

Django Channels enables real-time features by handling asynchronous protocols alongside standard HTTP requests. It integrates with modular architecture patterns to support interactive web application requirements.

How do I set up DRF APIs with Celery task queues in a Django project?

DRF APIs and Celery task queues integrate by routing long-running processes to background workers while DRF handles request serialization. This ensures maintainable API endpoints and responsive task execution.

Can I use Celery and Django Channels for high-concurrency web apps?

Celery and Django Channels support high-concurrency web apps by offloading background tasks and managing real-time async connections. They combine with secure defaults to ensure deployment readiness.

What testing strategies work best for async Django 5.x projects?

Testing strategies for async Django 5.x projects validate async views, DRF APIs, and Celery tasks to ensure maintainable architecture. These patterns confirm deployment readiness and secure application defaults.

When should I not use async views in a Django application?

Async views in Django are unnecessary for standard I/O-bound operations without high concurrency. Using them in synchronous-heavy projects complicates architecture without yielding scalable performance benefits.