fastapi

Generates async FastAPI project templates with SQLAlchemy 2.0 and Pydantic v2.

Updated Dec 22, 2025
One-click install
npx skills add https://github.com/0xkynz/codekit --skill fastapi-0xkynz
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: fastapi
Source: https://github.com/0xkynz/codekit/tree/main/templates/skills/fastapi
Command: npx skills add https://github.com/0xkynz/codekit --skill fastapi-0xkynz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Expert guidance to accelerate production-ready FastAPI development, covering async endpoints, ORM integration, validation, and deployment-focused tooling.

Core Features & Use Cases

  • Async-first FastAPI templates with SQLAlchemy 2.0 integration and Pydantic v2 models.
  • Modular feature structure demonstrating clean separation of concerns (routes, services, models, schemas).
  • Use Case: Rapidly bootstrap a robust FastAPI backend for a microservice requiring database access and reliable validation.

Quick Start

Create a new FastAPI project from the templates and run it to validate endpoints.

Frequently Asked Questions about fastapi

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

FAQPage Schema
How do I structure a FastAPI backend with SQLAlchemy 2.0 and Pydantic v2?

Structure a FastAPI backend using modular feature separation with distinct routes, services, models, and schemas. This approach enforces clean separation of concerns while integrating SQLAlchemy 2.0 ORM and Pydantic v2 validation.

What is the best way to build async APIs with FastAPI?

The best way to build async APIs with FastAPI is using an async-first design pattern. This delivers structured templates and tooling guidance that enforce type safety and modular architecture for production-ready endpoints.

Can I use SQLAlchemy 2.0 with FastAPI for asynchronous database access?

Yes, SQLAlchemy 2.0 integrates directly with FastAPI for asynchronous database access. The framework provides templates that combine async endpoints with ORM integration to handle database operations reliably.

How to bootstrap a FastAPI microservice that requires database access?

Bootstrap a FastAPI microservice by applying the provided project layout and concrete examples. This rapidly generates a robust backend featuring modular architecture, reliable validation, and comprehensive testing.

Does FastAPI work well for projects needing strict type safety and validation?

FastAPI works exceptionally well for strict type safety by enforcing Pydantic v2 validation across the application. It delivers type-safe models and structured patterns that ensure reliable data handling in Python projects.