django-patterns

Standardize Django architecture with modular layouts, service layers, and optimized ORM usage.

1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/its-Basudeba/Care-HMS --skill django-patterns-its-basudeba
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/its-Basudeba/Care-HMS/tree/main/.agent/skills/django-patterns
Command: npx skills add https://github.com/its-Basudeba/Care-HMS --skill django-patterns-its-basudeba

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the complexity of architecting maintainable Django applications by providing standardized patterns for project structure, database management, and API development.

Core Features & Use Cases

  • Architectural Standards: Implements split-settings, custom QuerySets, and service layers to decouple business logic from views.
  • Performance Optimization: Provides battle-tested strategies for N+1 query prevention, caching, and database indexing.
  • Use Case: Use this Skill when you need to refactor a monolithic Django project into a modular, scalable system with optimized database interactions and clean API endpoints.

Quick Start

Use the django-patterns skill to generate a recommended project structure and implement a custom QuerySet for the Product model.

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 to separate business logic from views?

To structure a scalable Django project, implement modular project layouts using split-settings, custom QuerySets, and service layers. This decouples business logic from views, ensuring maintainable architecture and adherence to production best practices.

What is the best way to prevent N+1 queries and optimize database interactions in Django?

The best way to prevent N+1 queries in Django involves applying optimized ORM usage, database indexing, and caching strategies. These performance optimization techniques facilitate high-performance database interactions in production environments.

How do I refactor a monolithic Django app into a modular system with clean REST API endpoints?

Refactoring a monolithic Django app requires standardizing Django architecture through modular project layouts and service layer patterns. This facilitates the development of scalable REST APIs and clean API endpoints.

Does this approach support standardizing Django middleware, signals, and caching strategies?

Yes, standardizing Django architecture ensures adherence to best practices for middleware, signals, and caching strategies. This provides battle-tested performance optimization and maintains scalable REST API development.

When do I need to use custom QuerySets and service layers in Django backend development?

You need custom QuerySets and service layers in Django when decoupling business logic from views to address architectural complexity. This standardizes project structure and optimizes database management for maintainable applications.