django-patterns

Provides Django and Django REST Framework architecture patterns for scalable app design and efficient data access.

Updated Sep 13, 2025
One-click install
npx skills add https://github.com/llmh333/employee_management_spring --skill django-patterns-llmh333
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Skill: django-patterns
Source: https://github.com/llmh333/employee_management_spring/tree/main/.gemini/skills/django-patterns
Command: npx skills add https://github.com/llmh333/employee_management_spring --skill django-patterns-llmh333

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the challenge of building Django and Django REST Framework projects that stay maintainable and performant as they grow, especially when you need correct structure, efficient ORM usage, and production-ready API behavior.

Core Features & Use Cases

  • Scalable Django project structure: Apply a recommended layout with split settings (base/development/production) and clear app boundaries for long-term maintainability.
  • Robust model and query design: Use best practices for model fields, constraints, indexes, custom QuerySets/managers, and patterns to prevent N+1 queries.
  • Production-grade DRF API patterns: Implement serializers with validation, ViewSets with filtering/searching/ordering, and custom actions for common API flows.
  • Performance, caching, and production hardening: Add caching strategies (view-level/fragment/low-level), middleware patterns, and performance optimizations for expensive operations.
  • Event-driven logic: Use Django signals with app-ready registration for automatic side effects such as profile creation.

Quick Start

Use this skill to design and implement a production-grade Django REST API by following the structure, model/query patterns, ViewSet/serializer approach, and caching/middleware guidance described in the guide.

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 REST Framework project for scalability and maintainability?

Structure scalable Django REST Framework projects using split base, development, and production settings alongside clear app boundaries. This separation ensures long-term maintainability as your application grows and API behavior becomes more complex.

What is the best way to prevent N+1 queries in Django ORM?

Prevent N+1 queries in Django ORM by applying best practices for custom QuerySets, managers, and model field constraints. Using these patterns ensures efficient data access and optimizes expensive database operations for production-ready applications.

How do I implement production-grade DRF ViewSets with filtering and custom actions?

Implement production-grade DRF ViewSets by utilizing serializers with validation, ViewSets with filtering, searching, and ordering, plus custom actions for specific API flows. This approach delivers robust and maintainable REST API endpoints.

When do I need a service layer in Django and how does it help production readiness?

You need a service layer in Django when separating complex business logic from views and models to maintain a clean structure. This separation supports production readiness by isolating expensive operations and keeping API behavior maintainable.

What caching strategies work best for optimizing expensive operations in Django?

Optimize expensive operations in Django using view-level, fragment, and low-level caching strategies. Combining these caching patterns with middleware optimizations hardens your application for production and significantly improves performance.

How does Django signals registration work for automatic side effects like profile creation?

Django signals registration works through app-ready initialization to trigger automatic side effects like profile creation. This event-driven logic pattern cleanly decouples secondary actions from the primary model creation process.