django-patterns

Design scalable Django architectures and DRF APIs with modular project structures.

46|8|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/manikosto/claude-code-python-stack --skill django-patterns-manikosto
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/manikosto/claude-code-python-stack/tree/main/skills/django-patterns
Command: npx skills add https://github.com/manikosto/claude-code-python-stack --skill django-patterns-manikosto

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Django patterns solve the challenge of building scalable, maintainable Django projects by providing ready-to-use architecture templates, DRF API designs, and best practices for ORM, caching, signals, and middleware.

Core Features & Use Cases

  • Split Settings Pattern for environment-specific configurations and clean separation of development, staging, and production.
  • Django REST Framework Patterns: robust API design with viewsets, serializers, and authentication strategies.
  • Service Layer and ORM Best Practices: clean data access, transaction management, and performance optimizations.
  • Performance Optimization: techniques like select_related and prefetch_related to avoid N+1 queries.

Quick Start

Start by scaffolding a Django project using the recommended layout and apply the Split Settings pattern for environment-specific configurations.

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 scalable Django project across multiple teams?

To structure a scalable Django project, apply the split settings pattern to separate environment-specific configurations. This standardizes project structure, ensuring modularity and clean separation across development, staging, and production.

What's the best way to design Django REST Framework APIs for production?

Designing Django REST Framework APIs for production requires utilizing robust patterns like viewsets, serializers, and authentication strategies. This approach standardizes API development and ensures maintainable architectures.

How do I avoid N+1 queries in Django ORM?

Avoiding N+1 queries in Django ORM involves applying performance optimization techniques like select_related and prefetch_related. These methods optimize data access and transaction management within the service layer.

When should I use a service layer in Django?

Use a service layer in Django to ensure clean data access and transaction management. It separates business logic from views, standardizing ORM best practices and performance optimizations.

Does this approach support environment-specific Django configurations?

Yes, the split settings pattern directly supports environment-specific Django configurations. It provides clean separation for development, staging, and production setups, standardizing project structure.