How does it handle data validation and ORM tasks?

It leverages Pydantic v2.9 for strict data validation and uses SQLAlchemy 2.0 async patterns for efficient database interactions.

Does this skill support the latest Python 3.13 features?

Yes, it is specifically optimized for Python 3.13+, providing guidance on the new JIT compiler (PEP 744), GIL-free mode (PEP 703), and advanced pattern matching.

Can I use this for web development frameworks?

Absolutely. It includes deep implementation patterns for FastAPI 0.115+ and Django 5.2 LTS, focusing on async dependencies and modern project structures.

Does this skill help with testing and code quality?

Yes, it provides best practices for pytest, including async fixtures, parametrized tests, and integration with modern tools like Ruff and UV.

Modern Python 3.13+ Development

Name: Modern Python 3.13+ Development
Author: modu-ai

bymodu-ai

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API Development

Develops high-performance Python applications using version 3.13+ features, modern frameworks like FastAPI and Django, and advanced async patterns.

About

This skill equips Claude with the expertise of a senior Python engineer focused on the cutting edge of the ecosystem. It provides specialized guidance for Python 3.13 features, including the experimental JIT compiler and GIL-free mode, alongside modern implementation patterns for FastAPI 0.115+, Django 5.2 LTS, and Pydantic v2.9. Whether you are architecting asynchronous APIs with SQLAlchemy 2.0, building complex data validation schemas, or setting up robust testing suites with pytest, this skill ensures your code is type-safe, performant, and follows the latest PEP standards and community best practices.

Key Features

16 GitHub stars
Advanced Pydantic v2.9 data validation and modern type-hinting patterns
Python 3.13 specialization including JIT, GIL-free mode, and pattern matching
Production-grade testing with pytest-asyncio and fixture factories
Asynchronous ORM patterns using SQLAlchemy 2.0 and the repository pattern
Modern web framework support for FastAPI 0.115+ and Django 5.2 LTS

Use Cases

Modernizing legacy Python applications to utilize Python 3.13 performance features
Designing type-safe data pipelines with Pydantic, Polars, and advanced structural typing
Building scalable, high-concurrency REST APIs using FastAPI and async SQLAlchemy

About

Key Features

16 GitHub stars
Advanced Pydantic v2.9 data validation and modern type-hinting patterns
Python 3.13 specialization including JIT, GIL-free mode, and pattern matching
Production-grade testing with pytest-asyncio and fixture factories
Asynchronous ORM patterns using SQLAlchemy 2.0 and the repository pattern
Modern web framework support for FastAPI 0.115+ and Django 5.2 LTS

Use Cases

Modernizing legacy Python applications to utilize Python 3.13 performance features
Designing type-safe data pipelines with Pydantic, Polars, and advanced structural typing
Building scalable, high-concurrency REST APIs using FastAPI and async SQLAlchemy