django-patterns

Standardize Django project structure, ORM queries, and API endpoints.

Updated Jun 25, 2026
One-click install
npx skills add https://github.com/sumeetonline90/fitup_all --skill django-patterns-sumeetonline90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/sumeetonline90/fitup_all/tree/main/.cursor/skills/django-patterns
Command: npx skills add https://github.com/sumeetonline90/fitup_all --skill django-patterns-sumeetonline90

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves the common pain point of building unstructured, hard-to-maintain Django applications that lack scalability and fail to meet production security and performance requirements.

Core Features & Use Cases

  • Standardized Project Structure: Provides a layered, clean architecture layout that enforces separation of concerns for Django and Django REST Framework projects.
  • Optimized ORM & API Patterns: Includes reusable QuerySet, serializer, and ViewSet templates that eliminate N+1 queries, enforce input validation, and streamline REST endpoint development.
  • Production-Grade Configurations: Covers split settings for dev/prod/test environments, caching strategies, signal patterns, custom middleware, and security hardening for live deployments.
  • Use Case: If you are building a SaaS e-commerce backend with Django, use this Skill to implement a scalable product catalog API with proper caching, custom user models, and service layer business logic out of the box.

Quick Start

Use the django-patterns skill to scaffold a new Django REST Framework project with split settings, custom user models, and optimized product API endpoints following production best practices.

Frequently Asked Questions about django-patterns

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

FAQPage Schema
How do I prevent N+1 queries in Django REST Framework APIs?

To prevent N+1 queries in Django REST Framework, apply reusable QuerySet and serializer patterns that enforce eager loading and proper layer separation. This standardizes ORM query optimization and eliminates unstructured code that fails under load.

What is the best way to structure a scalable Django backend?

A scalable Django backend uses a layered, clean architecture layout that enforces separation of concerns. This structure standardizes project design, managing business logic in service layers to eliminate hard-to-maintain codebases.

How do I configure split settings for dev and prod Django environments?

Configure split settings for dev and prod Django environments by applying production-grade configuration patterns. This manages environment-specific setups, security hardening, and caching strategies for live deployments.

Can I use this approach to scaffold a Django REST Framework project with a custom user model?

Yes, you can scaffold a Django REST Framework project with a custom user model and split settings out of the box. It provides optimized API endpoint templates following production best practices for secure backends.

What caching strategies are needed for high-performance Django web APIs?

High-performance Django web APIs require caching strategies and custom middleware configurations integrated with signal patterns. These production-ready settings prevent performance degradation and ensure the application scales under load.