Which versions of Python and FastAPI are supported?

The skill is specifically designed for modern stacks including Python 3.11+, FastAPI 0.104+, Pydantic 2.x, and SQLAlchemy 2.0+.

Does this skill replace standard linters like Ruff or Black?

No, it complements them. While linters catch syntax and formatting issues, this skill focuses on architectural logic, async correctness, and database patterns that static analysis tools cannot detect.

How does it help with database performance?

It provides specific guidance on preventing N+1 query issues using joinedload/selectinload, proper AsyncSession management, and explicit transaction scoping.

Can I use this for non-FastAPI projects?

While heavily focused on FastAPI, the rules regarding Pydantic v2, async Python patterns, and SQLAlchemy 2.0 are highly applicable to any modern Python backend project.

Python & FastAPI Best Practices

Name: Python & FastAPI Best Practices
Author: Brite-Nites

byBrite-Nites

0•

Desarrollo de API

Implements professional architectural patterns and performance optimizations for modern Python backend applications using FastAPI, Pydantic, and SQLAlchemy.

This skill acts as an expert architectural consultant for modern Python backends, providing 38 specific rules for building robust FastAPI applications. It goes beyond simple linting to address complex challenges like async correctness, structured concurrency with TaskGroups, dependency injection patterns, and efficient SQLAlchemy 2.0 database management. Whether you are architecting a new API from scratch or refactoring an existing service, this skill ensures your codebase adheres to high-performance industry standards for Python 3.11+ and Pydantic v2, focusing on patterns that standard automated tools often miss.

Características Principales

01Guides domain-organized project structures and reversible migration workflows

02Prevents database performance bottlenecks like N+1 queries in SQLAlchemy 2.0

030 GitHub stars

04Standardizes Pydantic v2 schema design and advanced validation strategies

05Ensures async correctness using TaskGroups and structured concurrency patterns

06Optimizes FastAPI dependency injection with Annotated types and lifecycle management

Casos de Uso

01Refactoring legacy Python APIs to modern FastAPI and Pydantic v2 standards

02Architecting scalable backend services with clear domain boundaries and DI patterns

03Reviewing complex async database interactions for session safety and performance

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add brite-nites/brite-claude-plugins python-best-practices

For use in Claude.ai and ChatGPT

Características Principales

01Guides domain-organized project structures and reversible migration workflows

02Prevents database performance bottlenecks like N+1 queries in SQLAlchemy 2.0

030 GitHub stars

04Standardizes Pydantic v2 schema design and advanced validation strategies

05Ensures async correctness using TaskGroups and structured concurrency patterns

06Optimizes FastAPI dependency injection with Annotated types and lifecycle management

Casos de Uso

01Refactoring legacy Python APIs to modern FastAPI and Pydantic v2 standards

02Architecting scalable backend services with clear domain boundaries and DI patterns

03Reviewing complex async database interactions for session safety and performance