django-patterns

Organize Django projects with DRF best practices and modular architecture patterns.

Updated Mar 25, 2026

Search Tags:#architecture #caching #middleware #orm #signals #django #drf

Ready to run

npx skills add https://github.com/SOLEROM/cldlab --skill django-patterns-solerom

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/SOLEROM/cldlab/tree/main/ecc/ref_claude/skills/django-patterns
Command: npx skills add https://github.com/SOLEROM/cldlab --skill django-patterns-solerom

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Django projects often struggle with scalable architecture, DRF integration, and maintainable patterns. This Skill compiles proven Django patterns for project structure, settings management, ORM design, caching, signals, middleware, and production readiness to help teams build robust apps.

Core Features & Use Cases

Architecture patterns: Split settings, modular apps, and clean project layout that scale with team growth.
DRF & ORM best practices: REST API design, serializers, viewsets, and query optimization.
Performance & reliability: Caching strategies, signals to automate side-effects, and middleware for cross-cutting concerns.
Use Case: Start a new Django project that follows these patterns to reduce boilerplate and improve maintainability.

Quick Start

Create a Django project configured with split settings, DRF-based APIs, and caching, then apply the documented architecture patterns.

Frequently Asked Questions about django-patterns

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

FAQPage Schema

How do I structure a Django project for scalability and team growth?▼

Structure Django projects for scalability by applying split settings, modular apps, and a clean project layout. This architecture pattern isolates configurations and modules to scale seamlessly with team growth.

What are the best practices for Django REST Framework serializers and viewsets?▼

DRF best practices involve designing REST APIs using custom serializers, viewsets, and query optimization. These ORM design patterns streamline API development while ensuring efficient database data retrieval.

How do I use Django signals to automate side-effects in my application?▼

Use Django signals to automate side-effects by binding event triggers to model actions. This pattern executes specific logic automatically when database events occur, isolating cross-cutting concerns to improve maintainability.

When should I implement caching strategies in a Django application?▼

Implement caching strategies in Django to enhance performance and reliability. Applying these patterns reduces database load and accelerates response times, ensuring robust production-ready applications.

Do I need custom managers and querysets to optimize Django ORM design?▼

Custom managers and querysets optimize Django ORM design by encapsulating reusable query logic. This pattern keeps models clean and ensures efficient, consistent data access across modular apps.

How does middleware handle cross-cutting concerns in Django production apps?▼

Middleware handles cross-cutting concerns in Django by processing requests and responses globally. This pattern manages authentication, logging, and performance tracking uniformly across production-ready apps.