What Python versions does this skill support?

The skill is specifically designed for Python 3.10 and newer, utilizing modern features like union types (X | None) and structured concurrency in 3.11+.

Can this skill help migrate my project from Poetry to uv?

Yes, it provides guidance and commands for transitioning to uv for faster package management and more efficient dependency resolution.

Does it support data science libraries?

Yes, the recommended stack includes support for Polars and Pandas for modern, high-performance data processing workflows.

How does it improve data validation?

It implements advanced Pydantic patterns, such as model_validators for cross-field security checks and explicit string comparisons for value objects.

Will it help me eliminate common Python anti-patterns?

Absolutely. The skill actively identifies legacy patterns like os.path, bare exceptions, and old-style string formatting, suggesting modern replacements.

Modern Python Architecture & Standards

Name: Modern Python Architecture & Standards
Author: ai-enhanced-engineer

byai-enhanced-engineer

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API Development

Enforces modern Python 3.10+ development standards, including type safety, async patterns, and high-performance tooling recommendations.

This skill equips Claude with the expertise of a senior Python architect to guide development using modern 3.10+ standards. It focuses on robust type safety, asynchronous programming with structured concurrency, and modern file handling via pathlib. By integrating opinionated tooling such as uv, Ruff, and mypy, it helps developers refactor legacy codebases, implement high-performance FastAPI backends, and ensure secure data modeling with Pydantic. It is particularly effective for teams looking to reduce technical debt and standardize their Python stack around contemporary best practices.

Key Features

01Standardized tooling workflows for package management with uv and linting with Ruff

02Strict type hinting enforcement using modern Python 3.10+ syntax and mypy standards

030 GitHub stars

04Optimized asynchronous programming guidance using asyncio TaskGroups and structured concurrency

05Automated identification and refactoring of anti-patterns like os.path or mutable defaults

06Advanced Pydantic v2 validation patterns for secure and fail-fast data modeling

Use Cases

01Refactoring legacy Python 3.7/3.8 codebases to take advantage of 3.10+ features and performance

02Architecting type-safe, production-ready backend services using FastAPI and Pydantic

03Performing deep code reviews to ensure adherence to modern PEP standards and efficient data processing

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ai-enhanced-engineer/aiee-team arch-python-modern

For use in Claude.ai and ChatGPT

Download Skill