How does this skill assist with FastAPI development?

It provides immediate access to optimized patterns for routing, dependency injection, and request handling, allowing Claude to generate cleaner and more secure code.

Does it support database operations?

Yes, it includes specific guidance for implementing CRUD operations and managing database sessions using SQLAlchemy and FastAPI's dependency injection system.

Can I use this skill to write unit tests?

Absolutely. It contains reference patterns for using pytest and the FastAPI TestClient to verify your endpoints and business logic.

Is security built into the patterns?

The skill includes best practices for JWT authentication, OAuth2 flows, and CORS configuration to ensure your APIs are secure by default.

FastAPI Helper

Name: FastAPI Helper
Author: alijilani-dev

byalijilani-dev

API Development

Accelerates the development of high-performance Python web APIs using FastAPI, Pydantic, and industry-standard security patterns.

About

The FastAPI Helper skill is a comprehensive toolkit designed to streamline the creation of modern Python web services. It provides standardized implementation patterns for core FastAPI features including dependency injection, OAuth2 authentication, and WebSocket connections. By leveraging this skill, developers can quickly scaffold CRUD operations, configure middleware like CORS, and ensure application reliability with pre-defined pytest fixtures and Pydantic validation models. It is ideal for developers looking to build scalable, production-ready backends with minimal boilerplate.

Key Features

Secure authentication implementation using JWT and OAuth2
0 GitHub stars
Advanced Pydantic model definition and data validation patterns
Middleware configuration for CORS, headers, and background tasks
Comprehensive testing setups using TestClient and pytest
Rapid CRUD endpoint generation with SQLAlchemy integration

Use Cases

Building production-ready RESTful APIs with automated OpenAPI documentation
Developing real-time applications using integrated WebSocket support
Implementing secure user authentication and role-based access control

About

Key Features

Secure authentication implementation using JWT and OAuth2
0 GitHub stars
Advanced Pydantic model definition and data validation patterns
Middleware configuration for CORS, headers, and background tasks
Comprehensive testing setups using TestClient and pytest
Rapid CRUD endpoint generation with SQLAlchemy integration

Use Cases

Building production-ready RESTful APIs with automated OpenAPI documentation
Developing real-time applications using integrated WebSocket support
Implementing secure user authentication and role-based access control