django-patterns

Standardize Django project architecture with modular settings and service-layer patterns.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/nazrulsoftwaredev/NIT_CRM_2 --skill django-patterns-nazrulsoftwaredev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/nazrulsoftwaredev/NIT_CRM_2/tree/main/.agents/skills/django-patterns
Command: npx skills add https://github.com/nazrulsoftwaredev/NIT_CRM_2 --skill django-patterns-nazrulsoftwaredev

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 patterns for development, testing, and production environments.
  • Performance Optimization: Provides best practices for N+1 query prevention, database indexing, and caching strategies.
  • API & Logic Layering: Offers robust patterns for Django REST Framework viewsets, custom serializers, and service-layer business logic.

Quick Start

Use the django-patterns skill to generate a project structure with split settings and a custom user model for a new web application.

Frequently Asked Questions about django-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is the best way to structure a scalable Django REST Framework project?

To structure a scalable Django project, implement modular split-settings for distinct environments, a custom user model, and a dedicated service layer to separate business logic from REST Framework viewsets and serializers.

How do I prevent N+1 queries and optimize database indexing in Django?

Prevent N+1 queries in Django by applying standardized ORM usage patterns, optimized database indexing strategies, and targeted caching mechanisms to minimize redundant database interactions and boost performance.

Can I use a service-layer pattern to separate business logic in Django?

Yes, implementing a service-layer pattern in Django isolates business logic from REST Framework viewsets and serializers, ensuring maintainable backend architecture and adherence to production-grade coding standards.

Does this approach support split settings for development, testing, and production environments?

Yes, this approach supports split settings for development, testing, and production environments by utilizing modular settings configurations to standardize Django project architecture across different deployment stages.

When should I not use a service-layer architecture for my Django app?

You should avoid a service-layer architecture for simple Django prototypes where the overhead of standardizing split settings, ORM usage, and API logic layering outweighs the maintainability and scalability benefits required for production.