How does the dependency injection pattern work for services?

It uses class-based services instantiated via FastAPI's Depends system, allowing for clean separation of concerns and making the code significantly easier to test and mock.

Can I use this for real-time monitoring?

It includes specialized middleware for request IDs, timing, and structured logging, which are essential building blocks for professional observability and monitoring suites.

What is the advantage of using lifespan events over startup/shutdown events?

Lifespan events use a single context manager (asynccontextmanager), making it easier to manage resource cleanup and share state across the application lifecycle consistently.

Does this skill support Pydantic v2?

Yes, the patterns include Pydantic Settings and field validators compatible with modern Pydantic v2 implementations for robust configuration management.

FastAPI Advanced Patterns

Name: FastAPI Advanced Patterns
Author: yonatangross

byyonatangross

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API Development

Implements production-ready FastAPI architectures including lifespan management, dependency injection, and specialized middleware.

This skill provides professional-grade patterns for building modern Python backends using FastAPI. It covers critical production requirements such as asynchronous resource management via lifespan events, complex dependency injection for services and databases, custom middleware for observability, and robust configuration management using Pydantic Settings. It is designed to help developers move beyond basic tutorials to building scalable, maintainable, and high-performance API services with industry-standard practices.

Key Features

01Advanced dependency injection patterns for class-based services and authentication

02Integrated health check systems and optimized ORJSON response handling

03Custom middleware for request tracking, timing, and structured logging

04Modern lifespan management for async resources like database engines and Redis

05Robust settings management with Pydantic and environment variable validation

0669 GitHub stars

Use Cases

01Configuring complex database and service layer dependency injection

02Implementing structured logging and request IDs for professional observability

03Architecting a production-ready FastAPI backend with clean resource cleanup

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/orchestkit fastapi-advanced

For use in Claude.ai and ChatGPT

Download Skill