python

Review Python code for style, types, and testing with pyproject.toml.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/curphey/bosun --skill python-curphey
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python
Source: https://github.com/curphey/bosun/tree/main/skills/python
Command: npx skills add https://github.com/curphey/bosun --skill python-curphey

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Python projects often suffer from unclear code, missing type hints, and inconsistent tooling setups, which slow development and introduce bugs.

Core Features & Use Cases

  • Idiomatic Python Guidance: Enforce readability, explicit typing, and Pythonic patterns across codebases.
  • Tooling & Configuration: Recommend and document pyproject.toml, mypy, Ruff, and related tooling setups for consistent development environments.
  • Use Case: When reviewing Python PRs or writing new modules, the skill guides improvements like adding type hints, dataclasses, and proper docstrings.

Quick Start

Ask the skill to review a Python module and produce an idiomatic, typed refactor plan.

Frequently Asked Questions about python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce Python type hints and idiomatic code review in my project?

Python code quality review is automated by enforcing type hints, Ruff linting, and mypy strict mode to produce an idiomatic refactor plan. It guides adding explicit typing, dataclasses, and proper docstrings across modules during PR reviews.

What is the best way to configure pyproject.toml for mypy and Ruff?

Configuring pyproject.toml for mypy and Ruff establishes consistent development environments by enforcing modern packaging configurations, strict typing, and linting rules across the project. The skill recommends and documents these setups for reliable tooling integration.

Why does my Python project suffer from inconsistent tooling and missing type hints?

Missing type hints and inconsistent tooling setups slow Python development and introduce bugs by allowing unclear code. Enforcing readability, explicit typing, and Pythonic patterns across codebases resolves these structural inconsistencies.

Can I use this to review a Python module and generate a typed refactor plan?

Reviewing a Python module generates an idiomatic, typed refactor plan that applies Pythonic patterns, dataclasses, and documentation standards. It evaluates existing code against mypy strict mode and Ruff linting to suggest improvements.

Does mypy strict mode work with modern packaging configurations in pyproject.toml?

Mypy strict mode integrates with modern packaging configurations defined in pyproject.toml to enforce type hints and static analysis. Configuring these tools together ensures consistent style and testing across Python projects.