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.