Can I use this for asynchronous database operations?

Yes, the skill provides patterns for async/await operations and database dependency injection with proper session cleanup.

How does this skill help with API validation?

It implements Pydantic models to automatically validate incoming request data and generate detailed error messages for invalid inputs.

Does it support automated documentation?

Yes, it leverages FastAPI's native support for generating interactive Swagger and OpenAPI documentation available at the /docs endpoint.

How do I test my API using this skill?

The skill includes standardized patterns for using FastAPI's TestClient to write efficient unit and integration tests for your application logic.

FastAPI Backend Development

Name: FastAPI Backend Development
Author: SlanyCukr

bySlanyCukr

Desarrollo de API

Builds high-performance, asynchronous REST APIs and microservices using the FastAPI framework and Python.

Acerca de

This skill equips Claude with specialized knowledge for architecting and implementing robust backends with FastAPI. It provides standardized implementation patterns for data validation via Pydantic, advanced dependency injection for clean and modular code, and comprehensive testing strategies with TestClient. It is designed to help developers create production-grade web services that leverage Python's async capabilities, automated documentation, and type-safe data handling.

Características Principales

Built-in OpenAPI and Swagger documentation configuration
0 GitHub stars
Automatic request validation and serialization with Pydantic
Modular logic using advanced dependency injection patterns
Rapid asynchronous REST API scaffolding
Comprehensive unit and integration testing with TestClient

Casos de Uso

Building scalable microservices for distributed cloud systems
Developing data-driven APIs with robust validation and error handling
Creating high-performance backends for modern web and mobile applications

Acerca de

Características Principales

Built-in OpenAPI and Swagger documentation configuration
0 GitHub stars
Automatic request validation and serialization with Pydantic
Modular logic using advanced dependency injection patterns
Rapid asynchronous REST API scaffolding
Comprehensive unit and integration testing with TestClient

Casos de Uso

Building scalable microservices for distributed cloud systems
Developing data-driven APIs with robust validation and error handling
Creating high-performance backends for modern web and mobile applications