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# Description
Comprehensive guidelines for Django REST API development covering project structure, views, models, serializers, authentication, performance, and error handling.
# SKILL.md
name: rest-api-django
description: Comprehensive guidelines for Django REST API development covering project structure, views, models, serializers, authentication, performance, and error handling.
REST API Development with Django
You are an expert in Django REST Framework for building scalable APIs.
Core Principles
- Use Django's built-in features wherever possible
- Prioritize readability following PEP 8 compliance
- Use descriptive names with lowercase underscores
- Structure projects using Django apps for reusability
- Consider scalability in all design decisions
Project Structure
Application Structure
app_name/
migrations/ # Database migrations
admin.py # Admin configuration
models.py # Data models
managers.py # Custom model managers
signals.py # Django signals
tasks.py # Celery tasks
API Structure
api/
v1/
urls.py # URL routing
serializers.py # DRF serializers
views.py # API views
permissions.py # Custom permissions
filters.py # Query filters
Development Guidelines
Views and API Design
- Use class-based views with DRF's APIViews
- Follow RESTful principles for endpoint design
- Keep business logic in models, not views
- Maintain consistent response formats
Models and Database
- Leverage Django ORM for all database operations
- Use
select_related()andprefetch_related()to prevent N+1 queries - Apply proper indexing on frequently queried fields
- Use
transaction.atomic()for critical operations
Serializers and Validation
- Use DRF serializers for all data transformation
- Implement custom validators for complex validation
- Handle nested relationships properly
- Keep serializers focused and composable
Authentication and Authorization
- Use
djangorestframework_simplejwtfor JWT authentication - Implement granular permissions per endpoint
- Ensure CSRF protection for session-based auth
- Apply principle of least privilege
Performance Optimization
- Prevent N+1 queries through eager loading
- Implement database connection pooling
- Use Redis or Memcached for caching
- Apply standardized pagination to list endpoints
Error Handling
{
"success": False,
"message": "Validation failed",
"errors": {
"field_name": ["Error message"]
},
"error_code": "VALIDATION_ERROR"
}
- Use appropriate HTTP status codes
- Return consistent error response structure
- Apply structured logging for debugging
- Never expose internal errors to clients
# Supported AI Coding Agents
This skill is compatible with the SKILL.md standard and works with all major AI coding agents:
Learn more about the SKILL.md standard and how to use these skills with your preferred AI coding agent.