django-patterns

Apply scalable Django architecture patterns for DRF APIs, ORM, caching, signals, and middleware.

Updated Feb 11, 2026
One-click install
npx skills add https://github.com/shygoly/sapbase --skill django-patterns-shygoly
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/shygoly/sapbase/tree/main/docs/zh-CN/skills/django-patterns
Command: npx skills add https://github.com/shygoly/sapbase --skill django-patterns-shygoly

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Django 项目在规模扩大时常面临架构混乱、重复实现、以及维护成本上升等挑战。本技能提供可扩展、可维护的 Django 架构模式,覆盖 DRF API 设计、ORM 最佳实践、缓存、信号、中间件等生产级要点。

Core Features & Use Cases

  • 项目结构与环境分离:为开发、生产与测试提供清晰边界,提升可维护性和部署一致性。
  • Django REST Framework 模式:序列化、视图集、权限控制等最佳实践,简化 API 开发。
  • ORM 最佳实践与查询优化:使用 select_related、prefetch_related、索引与约束,降低数据库查询成本。
  • 服务层与管理器模式:将业务逻辑从模型/视图中分离,提升可测试性与可维护性。
  • 缓存策略:视图缓存、模板片段缓存、低级缓存和 QuerySet 缓存,提升响应速率。
  • 信号与中间件:事件驱动操作和请求/响应处理的解耦与扩展性。
  • 性能与规模化:批量操作、索引设计、N+1 避免等实践,支撑大规模应用。

Quick Start

Start a new Django project with a scalable architecture by applying the patterns for settings isolation, DRF viewsets and serializers, ORM best practices, caching, signals, and middleware.

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 with separated settings?

To structure a scalable Django project, separate settings for development, production, and testing environments. This provides clear boundaries, improving maintainability and deployment consistency across complex systems.

What's the best way to avoid N+1 query problems in Django ORM?

Avoid Django ORM N+1 query problems by using select_related and prefetch_related. Applying indexing and constraints further optimizes database access, significantly lowering query costs in large-scale applications.

How does the service layer pattern improve Django app maintainability?

The service layer pattern improves Django maintainability by separating business logic from models and views. This decoupling enhances testability and ensures a structured, scalable architecture for complex systems.

What caching strategies work best for scaling Django REST Framework APIs?

Scaling Django REST Framework APIs benefits from view caching, template fragment caching, low-level caching, and QuerySet caching. These combined caching strategies increase response rates and reduce database load.

When should I use Django signals and middleware for decoupled operations?

Use Django signals for event-driven operations and middleware for request/response processing. These patterns enable extensibility and decoupling, allowing you to build scalable architectures without tightly coupling core logic.