django-fastapi

Select Django, DRF, or FastAPI and implement optimized data access patterns.

16|Updated Apr 30, 2026
One-click install
npx skills add https://github.com/JCETools-Petra/JCE-Opencode-Tools --skill django-fastapi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: django-fastapi
Source: https://github.com/JCETools-Petra/JCE-Opencode-Tools/tree/main/config/skills/django-fastapi
Command: npx skills add https://github.com/JCETools-Petra/JCE-Opencode-Tools --skill django-fastapi

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents slow, error-prone Django/FastAPI development by guiding you through correct framework choices, efficient data access, and consistent API validation and verification.

Core Features & Use Cases

  • Framework decisioning: Choose between Django, DRF, and FastAPI based on whether you need ORM/admin, async-first APIs, or microservices-level endpoints.
  • Performance-safe data access: Apply Django QuerySet patterns (select_related/prefetch_related/annotate/aggregation) to avoid N+1 queries and wasted work.
  • API boundary correctness: Ensure request/response validation and consistent error handling using DRF serializers or Pydantic response models, plus recommended testing and verification checks.
  • Use Case: When adding a new REST endpoint to an existing project, generate the right queryset strategy, define serializers or Pydantic models, implement the route with proper auth/permissions, and include tests for happy path and validation failures.

Quick Start

Ask your AI assistant to activate the django-fastapi skill and propose the exact Django or FastAPI approach, including models/query optimizations, the API schema/validation strategy, and a verification checklist for your endpoint.

Frequently Asked Questions about django-fastapi

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

FAQPage Schema
When should I use FastAPI instead of Django REST Framework for a new API endpoint?

Avoid Django N+1 queries by applying select_related for foreign keys and prefetch_related for many-to-many relations, using QuerySet annotate and aggregation to push computation into the database and prevent wasted iterative work.

How do I validate API requests and responses using Pydantic and DRF serializers?

API boundary correctness uses Pydantic response models for FastAPI and DRF serializers for Django to enforce request and response validation, ensuring consistent error handling and validation-safe data structures across endpoints.

How do I build and test a Django REST endpoint with authentication and permissions?

Implement the REST route with proper auth and permissions, define the correct serializer, and create tests covering both happy path responses and validation failures to verify end-to-end API behavior before completion.

What's the best way to optimize Django ORM queries for a REST API endpoint?

Optimize Django ORM queries by selecting the correct QuerySet strategy using select_related, prefetch_related, annotate, and aggregation to apply performance guardrails and avoid N+1 queries during API data access.

Does this approach work for adding a single REST endpoint to an existing Django project?

Yes, when adding a new REST endpoint to an existing project, it generates the queryset strategy, defines serializers or Pydantic models, implements the route with auth, and includes a verification checklist for validation failures.