django-patterns

Implements production-grade Django architecture patterns for models, DRF APIs, caching, and middleware.

1|Updated Oct 11, 2025
One-click install
npx skills add https://github.com/ibytechaos/claude --skill django-patterns-ibytechaos
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-patterns
Source: https://github.com/ibytechaos/claude/tree/main/plugins/everything-claude-code/skills/django-patterns
Command: npx skills add https://github.com/ibytechaos/claude --skill django-patterns-ibytechaos

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Building maintainable Django applications requires consistent architecture decisions across models, APIs, caching, and middleware, and ad-hoc implementations lead to N+1 queries, tangled business logic, and unscalable project structures. ## Core Features & Use Cases - Project & Settings Structure: Provides a split-settings layout (base/development/production/test) with a config/apps directory convention for scalable projects. - ORM & Model Patterns: Covers custom QuerySets, managers, indexes, constraints, and select_related/prefetch_related techniques to eliminate N+1 queries. - DRF API Design: Includes serializer validation, ViewSets with custom actions, filtering, permissions, and a service layer pattern for business logic. - Use Case: When building a new e-commerce REST API, apply the ViewSet, serializer, service layer, and caching patterns to ship a well-structured endpoint without reinventing architecture decisions. ## Quick Start Ask the AI to design a Django REST Framework API for a product catalog using the django-patterns skill, including models, serializers, ViewSets, and caching.

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 Django project for production?

Use a split-settings layout with a config directory containing base, development, production, and test settings modules, plus a separate apps directory for business logic. Each environment file imports from base and overrides only environment-specific values like DEBUG, ALLOWED_HOSTS, and database names.

How to avoid N+1 queries in Django ORM?

Use select_related for foreign key relationships and prefetch_related for many-to-many relationships when querying. Encapsulate these in custom QuerySet methods like with_category() so the optimization is applied consistently across the codebase.

What is the service layer pattern in Django?

A service layer places business logic in dedicated service classes (e.g., OrderService) rather than in views or models. Methods like create_order use transaction.atomic to keep multi-step operations consistent, keeping views thin and logic testable.

How do I add custom actions to a DRF ViewSet?

Use the @action decorator inside a ModelViewSet, specifying detail=True for single-object endpoints or detail=False for collection endpoints. You can override permission_classes per action and use get_serializer_class to return different serializers per action.

When should I use Django signals versus overriding save()?

Use signals like post_save for cross-app side effects such as creating a Profile when a User is created, registered in the app's ready() method. Override save() only for logic intrinsic to the model itself, like auto-generating a slug.

Does Django caching work with QuerySets?

Yes, low-level caching via django.core.cache stores evaluated QuerySet results under a cache key with a timeout. Convert the QuerySet to a list before caching so the cached object holds concrete data rather than a lazy query.