Does this skill help with database connections?

Yes, it includes advanced patterns for SQLAlchemy async sessions, engine disposal, and Redis connection management within the application lifespan.

What version of FastAPI does this skill support?

It is designed for modern FastAPI versions following 2026 standards, specifically leveraging Pydantic v2 and the asynccontextmanager for application lifespan events.

Are there health check patterns included?

Yes, it includes a standardized health router to verify database and cache readiness, suitable for Kubernetes liveness and readiness probes.

Can I use this for custom middleware?

Absolutely; it provides production-ready templates for Request ID tracking, execution timing, structured logging, and CORS configuration.

How does it handle application configuration?

It utilizes Pydantic Settings for type-safe environment variable management, including advanced field validation and secret handling.

FastAPI Advanced Patterns

Name: FastAPI Advanced Patterns
Author: yonatangross

byyonatangross

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API Development

Implements production-ready FastAPI 2026 patterns including modern lifespan management, dependency injection, and high-performance middleware.

The FastAPI Advanced skill empowers developers to build scalable, high-performance Python backends using current best practices. It provides structured patterns for managing application lifespans via async context managers, sophisticated dependency injection for database and service layers, and robust Starlette-based middleware for logging, timing, and security. Designed for modern standards, it helps developers avoid common anti-patterns like global state or blocking the event loop while ensuring type safety with Pydantic v2 settings and comprehensive health monitoring.

Key Features

01Modern Async Lifespan Context Managers

02Custom Middleware for Logging and Observability

03Tiered Dependency Injection Patterns

0429 GitHub stars

05Type-safe Pydantic Settings Management

06Standardized Health and Readiness Checks

Use Cases

01Architecting high-concurrency Python microservices with resource-aware lifespans.

02Configuring secure, type-safe application settings and async database connections.

03Implementing structured logging and request-response interceptors.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yonatangross/skillforge-claude-plugin fastapi-advanced

For use in Claude.ai and ChatGPT

Download Skill