python-style

Apply Python 3.10+ style conventions with project-specific overrides to code reviews and PRs.

1|Updated Apr 13, 2026
One-click install
npx skills add https://github.com/weorbitant/compound-engineering-feat-python-plugin --skill python-style-weorbitant
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-style
Source: https://github.com/weorbitant/compound-engineering-feat-python-plugin/tree/main/skills/python-style
Command: npx skills add https://github.com/weorbitant/compound-engineering-feat-python-plugin --skill python-style-weorbitant

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Python projects often suffer from inconsistent styling, making code hard to read and maintain. This skill defines a project-wide style guide that combines PEP 8 defaults with project-specific overrides and modern idioms to ensure uniform code across teams.

Core Features & Use Cases

  • Enforces naming conventions, import ordering, formatting, type hints, logging, and module structure according to the project's overrides.
  • Guides code reviews and refactoring to maintain consistent Python patterns across Django, FastAPI, and data-oriented modules.
  • Use Case: When reviewing or refactoring code, this guide ensures new changes conform to the standardized Python style.

Quick Start

Scan your Python codebase and apply the project overrides to enforce consistent style during development.

Frequently Asked Questions about python-style

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

FAQPage Schema
How do I enforce consistent Python style across my codebase?

To enforce consistent Python style, apply a project-wide style guide that combines PEP 8 defaults with project-specific overrides. This ensures uniform naming, formatting, and import ordering across teams and modules.

What Python style conventions should I use for modern syntax?

Modern Python style conventions for 3.10+ syntax include standardized naming, import ordering, type hints, and module structure. Applying these conventions ensures readable code while maintaining modern idioms throughout the project.

How do I standardize Python code formatting for code reviews?

Standardize Python code formatting for reviews by applying project-specific style overrides to new changes. This guides refactoring efforts and ensures contributions conform to standardized patterns across Django, FastAPI, and data modules.

Can I use custom logging conventions with standard Python linting rules?

Yes, you can use custom logging conventions with standard Python linting rules by defining project-specific overrides. This allows you to enforce unique standards like emoji-prefixed logging messages alongside standard PEP 8 formatting.

Does this Python style guide work with FastAPI and Django projects?

Yes, this Python style guide works with FastAPI and Django projects by applying project-specific overrides. It maintains consistent Python patterns across different frameworks and data-oriented modules during code reviews and refactoring.