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django-patterns

Organize Django projects with split settings, DRF APIs, and caching patterns.

41|8|Updated Feb 7, 2026
Search Tags:#architecture#patterns#orm#django#drf#split-settings
One-click install
npx skills add https://github.com/codelably/harmony-claude-code --skill django-patterns-codelably
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/codelably/harmony-claude-code/tree/main/skills/django-patterns
Command: npx skills add https://github.com/codelably/harmony-claude-code --skill django-patterns-codelably

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides production-ready Django architecture patterns to help teams build scalable, maintainable applications, with proven guidelines for project structure and API design.

Core Features & Use Cases

  • Split Settings Pattern to separate environment-specific configuration
  • Model, Serializer, and View patterns for clean DRY architecture
  • Caching, Signals, and Middleware strategies for robust production apps
  • Performance optimizations with indexing, select_related, and prefetch_related
  • DRF-based API design and structured service layer for business logic

Quick Start

Start by applying the recommended split-settings structure and progressively adopt the patterns in models, views, and caching.

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 large-scale Django project for maintainability?▼

Structure large-scale Django projects using the split settings pattern to separate environment-specific configuration, alongside pattern-based models, querysets, and custom managers to ensure a clean, maintainable architecture.

What is the best way to design APIs with DRF and Django?▼

Design APIs with DRF using structured serializers and viewsets, combined with a structured service layer for business logic, to create clean, DRY API architectures in Django applications.

How do I optimize Django ORM querysets to prevent performance bottlenecks?▼

Optimize Django ORM querysets using database indexing, select_related, and prefetch_related strategies to reduce query overhead and improve application performance in production.

When do I need split settings in my Django application?▼

You need split settings in Django applications when managing multiple environments, allowing you to isolate environment-specific configuration from base settings for safer, more scalable deployments.

Can I use custom managers and signals for robust Django caching workflows?▼

Yes, implement custom managers and Django signals to build robust caching and middleware workflows, ensuring efficient data handling and reliable production application performance.

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