django-patterns

Provide Django architecture patterns for DRF APIs, caching, signals, and middleware.

Updated Feb 5, 2026
One-click install
npx skills add https://github.com/gugug168/claudecode-tutorial --skill django-patterns-gugug168
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/gugug168/claudecode-tutorial/tree/main/everything-claude-code-learning/02-Skills/django-patterns
Command: npx skills add https://github.com/gugug168/claudecode-tutorial --skill django-patterns-gugug168

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Django projects often struggle with maintainability and scalability as they grow. This skill provides architecture patterns, best practices, and reusable components to standardize structure and behavior across Django apps.

Core Features & Use Cases

  • Project layout guidance (config/, apps/, etc.) and split settings strategy for environment-specific configs.
  • Pattern catalog for models, serializers, viewsets, services, caching, signals, and middleware to enable scalable DRF apps.
  • Real-world use cases like building a DRF API, implementing caching, and adding signals.

Quick Start

Integrate these patterns into your Django project to start scaling a maintainable app.

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 project?

Django architecture patterns for scalable apps standardize project structure, split settings, and service layers to improve maintainability as your project grows. They provide reusable blueprints for organizing config and apps directories.

How do I structure a Django DRF API with service layers and viewsets?

Structure a DRF API by implementing pattern catalogs for models, serializers, and viewsets, then delegating business logic to testable service layers. This enables clear organization and reusable behavior across your API endpoints.

How does the split settings strategy work for Django environment configurations?

The split settings strategy separates Django environment configurations into distinct modules, enabling environment-specific setups for development and production. It organizes your base settings to prevent conditional logic clutter.

How do I optimize Django ORM queries and implement caching in DRF?

Optimize Django ORM queries using performance considerations and pattern guidance to reduce database hits, then implement caching strategies within your DRF application to store and retrieve frequent query results efficiently.

When should I use Django signals and middleware in a scalable application?

Use Django signals and middleware when you need to decouple event-driven actions and process requests globally across your scalable application. Pattern catalogs provide guidance on implementing them without tightly coupling app components.

Can I apply these Django patterns to an existing project with fat models?

You can refactor existing Django projects by extracting business logic from fat models into testable service layers. These architecture patterns offer clear organization and reusable components to incrementally improve maintainability.