django-patterns

Develop scalable Django application patterns for DRF APIs, ORM models, and production deployments.

Updated Mar 29, 2026

Search Tags:#security #caching #patterns #orm #django #drf

Ready to run

npx skills add https://github.com/romankovsv/claude-code-python-devops-mlops --skill django-patterns-romankovsv

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/romankovsv/claude-code-python-devops-mlops/tree/main/skills/django-patterns
Command: npx skills add https://github.com/romankovsv/claude-code-python-devops-mlops --skill django-patterns-romankovsv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Django projects often struggle with maintainability, testability, and consistency as they grow; this skill provides architecture patterns, DRF-driven APIs, and ORM best practices to keep Django apps scalable and robust.

Core Features & Use Cases

Architectural patterns for Django projects, including a clear project layout, split settings, service layers, and test strategies.
Django REST Framework patterns for APIs, serializers, permissions, and robust data access; ORM optimizations with select_related and prefetch_related; caching and signal usage.
Production-ready deployment considerations, security hardening, and maintainable code organization for long-term stability.

Quick Start

Create a Django project using the recommended layout, apply split settings, and implement DRF patterns to start building production-ready APIs.

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 for production?▼

Structure a scalable Django project using a clear project layout, split settings, and reusable service layers to maintain consistency and testability as your application grows.

What are the best Django ORM patterns to avoid performance issues?▼

Optimize ORM performance by applying select_related and prefetch_related patterns to reduce query counts, alongside strategic caching and signal usage for efficient data access.

How do I build maintainable DRF APIs with complex serializers and permissions?▼

Build maintainable DRF APIs by implementing structured patterns for serializers, permissions, and robust data access, ensuring your REST Framework endpoints remain scalable and secure.

Can I use these Django patterns for security hardening and deployment?▼

Yes, these Django patterns apply to production deployments by providing security hardening guidelines and performance guardrails across middleware, caching, and signals for long-term stability.

Why does my Django app need a service layer and split settings?▼

A Django service layer and split settings separate business logic from views and models, resolving maintainability and testability struggles by enforcing a structured project organization.

When should I not use complex ORM optimizations and signals in Django?▼

Avoid complex ORM optimizations and signals when they introduce unnecessary coupling or performance overhead; instead, apply performance guardrails and caching patterns only where measurable bottlenecks exist.