Django Rest Framework
Build robust APIs quickly using Django REST Framework best practices and common patterns.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add django-rest-framework npx -- -y @trustedskills/django-rest-framework
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"django-rest-framework": {
"command": "npx",
"args": [
"-y",
"@trustedskills/django-rest-framework"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
Django REST Framework enables AI agents to build powerful, scalable web APIs for Django projects. It provides robust tools for data serialization, authentication, and flexible routing to expose application logic via HTTP.
When to use it
- Building public-facing APIs that require standardized JSON responses.
- Creating custom authentication flows beyond default token-based access.
- Developing complex querysets with nested relationships or filtering capabilities.
- Integrating Django backends with third-party services via REST endpoints.
Key capabilities
- Automatic Serialization: Converts Python model instances into native Python datatypes and JSON.
- Flexible Routing: Supports both class-based and function-based views for API endpoint definition.
- Built-in Authentication: Includes support for token, session, and OAuth2 authentication mechanisms.
- Browsable API: Generates an interactive, in-browser interface to test endpoints without writing custom code.
- Permission Classes: Fine-grained control over who can access specific views or actions.
Example prompts
- "Generate a Django REST Framework serializer for a User model that includes nested profile data."
- "Create a class-based view with pagination and filtering for a list of products."
- "Set up token authentication and permission classes to restrict API access to authenticated users only."
Tips & gotchas
Ensure you have the djangorestframework package installed in your environment before attempting to use its components. While the browsable API is excellent for development, consider building custom HTML or mobile-friendly interfaces for production deployments.
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