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.