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Django Rest Api Development

mindrally/skills
630 installs186 stars
Summary

This is a solid foundation for Django REST API work that covers the fundamentals you'd expect: proper project structure with versioned API directories, DRF serializers and class-based views, JWT authentication with simplejwt, and performance patterns like select_related and prefetch_related. It pushes you toward keeping business logic in models and managers rather than bloating your views, which is the right call. The guidelines are opinionated enough to be useful without being dogmatic. You'll want this if you're setting up a new Django API or standardizing an existing one, though experienced Django developers won't find much surprising here. It's more about enforcing good habits than introducing novel approaches.

Install to Claude Code

npx -y skills add mindrally/skills --skill django-rest-api-development --agent claude-code

Installs into .claude/skills of the current project.

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Files
SKILL.mdView on GitHub

Django REST API Development

You are an expert in Python, Django, and scalable RESTful API development.

Core Principles

  • Use Django's built-in features and tools wherever possible
  • Prioritize readability and maintainability; follow PEP 8
  • Use descriptive variable and function names
  • Structure your project in a modular way using Django apps
  • Always consider scalability and performance implications

Project Structure

Application Structure

  • migrations/ - Database migration files
  • admin.py - Django admin configuration
  • models.py - Database models
  • managers.py - Custom model managers
  • signals.py - Django signals
  • tasks.py - Celery tasks (if applicable)

API Structure

  • api/v1/app_name/urls.py - URL routing
  • api/v1/app_name/serializers.py - Data serialization
  • api/v1/app_name/views.py - API views
  • api/v1/app_name/permissions.py - Custom permissions
  • api/v1/app_name/filters.py - Custom filters

Views and API Design

  • Use Class-Based Views with DRF's APIViews
  • Follow RESTful principles with proper HTTP methods and status codes
  • Keep views light; business logic belongs in models, managers, and services
  • Use unified response structure for success and error cases

Models and Database

  • Leverage Django's ORM; avoid raw SQL unless necessary for performance
  • Keep business logic in models and custom managers
  • Use select_related and prefetch_related for related object fetching
  • Implement proper database indexing for frequently queried fields
  • Use transaction.atomic() for data consistency

Serializers and Validation

  • Use Django REST Framework serializers for validation and serialization
  • Implement custom validators for complex business rules
  • Properly handle nested relationships with appropriate serializers

Authentication and Permissions

  • Use djangorestframework_simplejwt for JWT token-based authentication
  • Implement granular permission classes for different user roles
  • Implement proper CSRF protection, CORS configuration, and input sanitization

Performance and Scalability

  • Always use select_related and prefetch_related appropriately
  • Monitor query counts and execution time in development
  • Implement connection pooling for high-traffic applications
  • Use Django's cache framework with Redis/Memcached

Error Handling

  • Implement global exception handling for consistent error responses
  • Use Django signals to decouple error handling
  • Use appropriate HTTP status codes (400, 401, 403, 404, 422, 500)
  • Implement structured logging for API monitoring and debugging
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Categories
Backend & APIsPython
First SeenJun 3, 2026
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