python

Enforce Python style conventions with type hints, docstrings, and import rules.

11|2|Updated Feb 18, 2026

Search Tags:#linting #python #code-quality #docstrings #type-hints #naming-conventions #style-guide

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npx skills add https://github.com/the-perfect-developer/the-perfect-opencode --skill python-the-perfect-developer

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Please help me install this Agent Skill.
Skill: python
Source: https://github.com/the-perfect-developer/the-perfect-opencode/tree/main/.opencode/skills/python
Command: npx skills add https://github.com/the-perfect-developer/the-perfect-opencode --skill python-the-perfect-developer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

I help you enforce Python style guide conventions across codebases, improving readability, maintainability, and consistency.

Core Features & Use Cases

Enforces naming conventions, docstring formatting, and proper import management.
Guides type annotations and line-length, indentation, and exception handling.
Use Case: A team standardizes modules, classes, and functions to match a single style guide across projects.

Quick Start

Run the style checker and apply suggested improvements to a new or refactored Python codebase.

Frequently Asked Questions about python

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

FAQPage Schema

How do I enforce Python naming conventions and docstring formatting across my projects?▼

Enforcing Python naming conventions and docstring formatting requires applying a professional style guide across your codebase. This standardizes modules, classes, and functions to improve readability and maintainability.

What is the best way to standardize type hints and import rules in Python?▼

The best way to standardize type hints and import rules is to use an automated style checker that applies modern Python style guidelines. It guides type annotations and proper import management to ensure code consistency.

How do I add frontmatter metadata to Python code for code reviews?▼

Adding frontmatter metadata to Python code requires explicit declarations to satisfy modern style guidelines. Including this metadata during code reviews ensures your modules and functions meet professional documentation standards.

Can I use a Python style guide for refactoring existing codebases?▼

Yes, you can use a Python style guide for refactoring existing codebases. Running the style checker and applying suggested improvements ensures refactored code aligns with professional standards for line-length, indentation, and exception handling.

Does Python code quality linting affect line-length and indentation rules?▼

Python code quality linting directly affects line-length and indentation rules by guiding exception handling and formatting. Applying these standards ensures your codebase matches a single professional style guide across all projects.