django-patterns

Define Django design patterns for models, views, admin, signals, and Django Ninja APIs.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/weorbitant/compound-engineering-feat-python-plugin --skill django-patterns-weorbitant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/weorbitant/compound-engineering-feat-python-plugin/tree/main/skills/django-patterns
Command: npx skills add https://github.com/weorbitant/compound-engineering-feat-python-plugin --skill django-patterns-weorbitant

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Django patterns provide a coherent set of conventions to improve maintainability and consistency across Django projects, covering models, views, admin, signals, middleware, and Django Ninja APIs.

Core Features & Use Cases

  • Patterns for models, views, admin, signals, middleware, and Django Ninja integrations to enforce conventions and reduce duplication.
  • Practical guidance on common structures (time-stamped models, abstract models, managers, querysets) and best practices for migrations, constraints, and performance.
  • Real-world scenarios: apply these patterns across Django apps to keep codebases coherent and scalable as teams evolve.

Quick Start

Install the Django patterns in your project and begin applying fat-model, explicit conventions across apps.

Frequently Asked Questions about django-patterns

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

FAQPage Schema
How do I structure Django models to keep my project maintainable?

Django models should use fat models, time-stamped abstract classes, and custom managers to encapsulate business logic. This pattern keeps querysets reusable and ensures consistency across your project as it scales.

What is the best way to organize Django Ninja APIs for scalability?

Django Ninja APIs should follow structured patterns for explicit naming and routing. Applying these conventions reduces code duplication and maintains a coherent API surface across evolving Django apps.

When do I need soft delete and constraints in Django migrations?

Soft delete and database constraints are needed when preserving historical records is required. Implementing these patterns through migrations ensures referential integrity and prevents accidental data loss.

Does this Django patterns guidance apply to existing projects with signals and middleware?

Yes, these Django patterns apply to both new and existing projects. They provide conventions for structuring signals and middleware to reduce duplication and improve maintainability across your current codebase.

Why should I use fat models and custom querysets in Django?

Fat models and custom querysets encapsulate data access logic directly within the model layer. This pattern prevents duplicated query logic across views and ensures consistent data retrieval throughout your Django application.