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django-patterns

Design Django applications with scalable models, DRF endpoints, and production configuration.

1|Updated Mar 3, 2026
Search Tags:#caching#api design#middleware#signals#django#djangorestframework#orm best practices
One-click install
npx skills add https://github.com/samymity/bridge-ventures-backend --skill django-patterns-samymity
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/samymity/bridge-ventures-backend/tree/main/.claude/skills/django-patterns
Command: npx skills add https://github.com/samymity/bridge-ventures-backend --skill django-patterns-samymity

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you avoid fragile Django implementations by providing battle-tested patterns for structuring a scalable app, designing clean DRF APIs, and keeping performance predictable in production.

Core Features & Use Cases

  • Production-ready Django project structure: Organize settings by environment (base/development/production/test) and keep URLs/config clean.
  • Maintainable model and data-access design: Use custom QuerySets and managers for reusable query logic, plus solid model field practices (indexes, constraints, ordering).
  • DRF architecture best practices: Build ViewSets with appropriate serializer selection, validation, filtering, searching, and custom actions.
  • Operational excellence: Apply caching strategies, signals for event-driven side effects, and middleware for request processing and logging.
  • Performance and scalability techniques: Prevent N+1 queries using select_related/prefetch_related, and optimize bulk operations and indexing.

Quick Start

Ask an AI to outline a production Django + DRF app skeleton for a “products” API using split settings, custom QuerySet/manager patterns, ViewSet actions, and 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 production-ready Django REST API project?▼

Structure a production-ready Django REST API by splitting settings into base, development, production, and test environments, keeping URLs clean, and organizing reusable logic into custom QuerySets and managers for maintainable data access.

What is the best way to prevent N+1 queries in Django ORM?▼

Prevent N+1 queries in Django ORM by using select_related and prefetch_related for related object lookups, applying appropriate database indexing, and optimizing bulk operations to keep performance predictable in production.

How do I configure Django REST Framework ViewSets with custom actions and validation?▼

Configure Django REST Framework ViewSets with appropriate serializer selection, built-in validation, filtering, searching, and custom actions to design clean APIs that handle specific endpoint operations efficiently.

When do I need Django signals and middleware for production APIs?▼

Use Django signals for event-driven side effects and middleware for request processing or logging when your production API requires operational excellence beyond basic CRUD operations and needs centralized request handling.

Does this Django API design approach work for scalable applications?▼

This Django API design approach works for scalable applications by enforcing solid model field practices like indexes and constraints, reusable query abstractions, and caching strategies to prevent performance bottlenecks.

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