Which web frameworks are supported?

The skill focuses on FastAPI 0.115+ and Django 5.2 LTS, covering lifespan events, dependency injection, and modern composite primary keys.

Is it compatible with modern package managers?

Yes, it includes configuration and usage patterns for uv, Poetry, and standard pyproject.toml setups to ensure consistent environments.

How does it handle Python testing?

The skill implements professional testing patterns using pytest, including async fixtures, parametrized tests, and factory patterns for scalable test suites.

Can it help with asynchronous database operations?

Absolutely. It provides modern SQLAlchemy 2.0 patterns for async engines, session management, and the repository pattern for clean data access layers.

Does this skill support Python 3.13's newest features?

Yes, it includes specialized guidance for the JIT compiler, GIL-free mode (PEP 703), and advanced pattern matching (match/case) implementation.

Modern Python 3.13+ Development

Name: Modern Python 3.13+ Development
Author: zellycloud

byzellycloud

API Development

Accelerates modern Python 3.13+ development with expert patterns for FastAPI, Django, and high-performance asynchronous programming.

About

This skill transforms Claude into a high-level Python engineer specializing in the latest ecosystem features of Python 3.13 and beyond. It provides deep expertise in modern web frameworks like FastAPI and Django, advanced data validation with Pydantic v2.9, and robust ORM patterns using SQLAlchemy 2.0. Whether you are building high-performance async APIs, implementing experimental free-threaded parallel processing, or writing comprehensive test suites with pytest, this skill ensures industry best practices, strict type safety, and optimal project configuration using modern tools like uv and ruff.

Key Features

Production-grade testing setups with pytest, async fixtures, and factory patterns
0 GitHub stars
Expert implementation of Python 3.13 features including JIT and GIL-free mode patterns
Modern async ORM patterns using SQLAlchemy 2.0 and Pydantic v2.9 validation
Efficient project scaffolding and dependency management with uv and Poetry
Advanced FastAPI 0.115+ and Django 5.2 LTS framework strategies

Use Cases

Implementing complex data validation and database logic for enterprise web applications
Developing high-performance asynchronous REST APIs and microservices
Upgrading legacy Python codebases to leverage Python 3.13 features and structural typing

About

Key Features

Production-grade testing setups with pytest, async fixtures, and factory patterns
0 GitHub stars
Expert implementation of Python 3.13 features including JIT and GIL-free mode patterns
Modern async ORM patterns using SQLAlchemy 2.0 and Pydantic v2.9 validation
Efficient project scaffolding and dependency management with uv and Poetry
Advanced FastAPI 0.115+ and Django 5.2 LTS framework strategies

Use Cases

Implementing complex data validation and database logic for enterprise web applications
Developing high-performance asynchronous REST APIs and microservices
Upgrading legacy Python codebases to leverage Python 3.13 features and structural typing