How does this skill improve Python code quality?

It enforces strict type hints, specific error handling, and utilizes ruff for high-performance linting and formatting to ensure code consistency.

Does this skill help with pyproject.toml configuration?

Yes, it provides a single source of truth for project metadata, dependencies, and tool configurations within the pyproject.toml file.

Does it support older dependency managers like pip or Poetry?

While it can interface with them, this skill strongly advocates for migrating to uv to consolidate workflows and improve performance via lockfiles.

Which tools are included in the recommended toolchain?

The toolchain centers on uv for dependency management, ruff for linting/formatting, mypy for strict type checking, and pytest for testing.

What is a feature-based project structure?

It is an organization method that groups code by functional domain (e.g., users, billing) rather than technical layers (e.g., models, controllers) to improve maintainability.

Modern Python Standards

Name: Modern Python Standards
Author: phrazzld

byphrazzld

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开发者工具

Standardizes Python development workflows using uv, ruff, mypy, and feature-based project architecture.

关于

This skill equips Claude with the expertise to implement modern Python development practices, focusing on high-performance tooling and strict type safety. It guides users through project initialization with uv, enforces linting and formatting via ruff, ensures type integrity with mypy's strict mode, and promotes robust testing patterns with pytest. By advocating for feature-based package structures and consolidated configuration in pyproject.toml, it helps developers build maintainable, production-grade Python applications while avoiding legacy anti-patterns like circular imports and untyped definitions.

主要功能

Automated testing and coverage enforcement configurations for pytest
2 GitHub stars
Strict static type checking with mypy to eliminate runtime type errors
Unified toolchain management using uv for dependencies and virtual environments
High-performance linting and formatting with ruff to replace legacy tools
Feature-based project architecture for improved domain isolation and modularity

使用场景

Bootstrapping new Python projects with a production-ready pyproject.toml and directory structure
Migrating legacy Python projects from pip, black, and flake8 to a modern uv and ruff stack
Enforcing strict type hinting and context-aware error handling during code reviews

关于

主要功能

Automated testing and coverage enforcement configurations for pytest
2 GitHub stars
Strict static type checking with mypy to eliminate runtime type errors
Unified toolchain management using uv for dependencies and virtual environments
High-performance linting and formatting with ruff to replace legacy tools
Feature-based project architecture for improved domain isolation and modularity

使用场景

Bootstrapping new Python projects with a production-ready pyproject.toml and directory structure
Migrating legacy Python projects from pip, black, and flake8 to a modern uv and ruff stack
Enforcing strict type hinting and context-aware error handling during code reviews