django-patterns

Implement Django architecture patterns for REST APIs, caching, and middleware.

2|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/multiplex-ai/muggle-ai-teams --skill django-patterns-multiplex-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/multiplex-ai/muggle-ai-teams/tree/main/skills/django-patterns
Command: npx skills add https://github.com/multiplex-ai/muggle-ai-teams --skill django-patterns-multiplex-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Django development patterns help teams implement production-grade architectures by providing reusable templates for project structure, REST API design with DRF, caching, signals, and middleware—reducing boilerplate and improving maintainability.

Core Features & Use Cases

  • Split settings pattern for environment separation across development, staging, and production.
  • DRF-centric patterns for serializers, viewsets, filtering, and permissions to deliver robust APIs.
  • Performance and reliability patterns including select_related, prefetch_related, caching strategies, and signal/middleware integration.
  • Production-ready project skeleton and best practices for testing, logging, and deployment.

Quick Start

Review the patterns in this skill and apply them to scaffold a production-grade Django project.

Frequently Asked Questions about django-patterns

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

FAQPage Schema
What are the best Django architecture patterns for scaling a medium to large project?

Django architecture patterns for scalable apps include a modular project layout, split settings for environment separation, and structured DRF serializers to ensure maintainability under production load. These patterns reduce boilerplate by providing reusable structural templates.

How do I structure Django REST Framework serializers and viewsets for robust APIs?

DRF-centric patterns streamline REST API design by standardizing serializers, viewsets, filtering, and permissions. Applying these patterns to your Django project delivers robust APIs while reducing boilerplate and improving overall maintainability.

How do I use Django caching strategies and ORM optimization for production performance?

Django performance patterns combine ORM optimization using select_related and prefetch_related with targeted caching strategies. Implementing these patterns ensures your application maintains reliability and performance under heavy production load.

Does this Django pattern set include middleware and signals integration guidance?

Yes, the Django pattern set includes integration guidance for both middleware and signals. These patterns provide sample code and best practices for incorporating signals and middleware into your architecture to handle production-ready processing logic.

What is the split settings pattern in Django and when do I need it?

The split settings pattern separates Django configuration across development, staging, and production environments. You need this pattern when managing medium- to large-scale Django projects to maintain clear environment separation and production-ready deployment configurations.