Does this skill support older Python versions?

While specifically optimized for Python 3.12+, it applies modern best practices that are largely compatible with Python 3.10+, though it prioritizes the newest syntax and features.

Which package managers does the python-coder skill prefer?

It specializes in uv for its speed and reliability, but it is also proficient in managing environments with venv, poetry, and pipenv.

Can it help with web framework migrations?

Yes, it is highly capable of migrating Flask or older Django applications to modern FastAPI or Django 5.x asynchronous architectures.

How does it handle code quality and linting?

It leverages ruff for lightning-fast linting and formatting, enforces PEP 8 compliance, and ensures type safety through rigorous mypy or pyright checking.

Modern Python Coder

Name: Modern Python Coder
Author: majesticlabs-dev

bymajesticlabs-dev

•

API 开发

Builds high-performance, production-ready Python applications using the 2024/2025 ecosystem of tools and practices.

关于

The python-coder skill transforms Claude into a specialized Python engineer proficient in Python 3.12+ and the latest industry-standard tooling like uv, ruff, and Pydantic. It focuses on writing clean, type-safe, and asynchronous code, ensuring that applications are not only functional but also highly performant and maintainable. This skill is ideal for developers building modern APIs with FastAPI, managing complex data workflows, or setting up robust CI/CD pipelines with automated testing, linting, and modern package management standards.

主要功能

Optimized Web APIs: Rapid development of FastAPI and Django services with async ORM support.
Modern Tooling Integration: Native support for uv, ruff, and pyproject.toml configuration standards.
Asynchronous Programming: Expert implementation of high-performance async/await patterns and concurrency.
Production-Ready Testing: Automated test generation using pytest, fixtures, and property-based testing.
Strict Type Safety: Comprehensive usage of Pydantic, mypy, and Python 3.12+ type system enhancements.
9 GitHub stars

使用场景

Migrating legacy Python applications to Python 3.12+ and modern package managers like uv.
Developing high-throughput REST or GraphQL APIs with FastAPI and Pydantic data validation.
Implementing complex data processing pipelines with NumPy and Pandas optimized for performance.

关于

主要功能

Optimized Web APIs: Rapid development of FastAPI and Django services with async ORM support.
Modern Tooling Integration: Native support for uv, ruff, and pyproject.toml configuration standards.
Asynchronous Programming: Expert implementation of high-performance async/await patterns and concurrency.
Production-Ready Testing: Automated test generation using pytest, fixtures, and property-based testing.
Strict Type Safety: Comprehensive usage of Pydantic, mypy, and Python 3.12+ type system enhancements.
9 GitHub stars

使用场景

Migrating legacy Python applications to Python 3.12+ and modern package managers like uv.
Developing high-throughput REST or GraphQL APIs with FastAPI and Pydantic data validation.
Implementing complex data processing pipelines with NumPy and Pandas optimized for performance.