python

Enforce PEP 8 compliance, type safety, and pytest testing patterns in Python.

Updated Jul 6, 2026
One-click install
npx skills add https://github.com/brenordv/claude-skill-set --skill python-brenordv
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python
Source: https://github.com/brenordv/claude-skill-set/tree/main/skills/python
Command: npx skills add https://github.com/brenordv/claude-skill-set --skill python-brenordv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill addresses the challenge of maintaining high-quality, consistent, and testable Python codebases by enforcing industry-standard best practices and automated validation workflows.

Core Features & Use Cases

  • Standardized Development: Enforces PEP 8, type hinting, and modern documentation standards to ensure code readability and maintainability.
  • Automated Quality Gates: Integrates linting, type checking, security scanning, and test coverage requirements to prevent regressions.
  • Use Case: When building a new service or refactoring legacy modules, this skill ensures the implementation follows the project's specific testing patterns and quality checklists before completion.

Quick Start

Use the python skill to initialize a new module structure and run the full validation suite on the current directory.

Frequently Asked Questions about python

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

FAQPage Schema
How do I enforce PEP 8 compliance and type safety in a Python project?

Enforce PEP 8 compliance and type safety by applying standardized Python development rules with automated linting and type checking gates. This prevents regressions by validating code readability and maintainability before completion.

What is the best way to achieve 80% test coverage using pytest during refactoring?

Achieve 80% test coverage using pytest by integrating automated quality gates that require rigorous testing patterns. This ensures refactoring legacy modules meets project-specific testing checklists without regressions.

Can I use this approach to automate security auditing for production-ready Python applications?

Yes, you can automate security auditing for production-ready Python applications by applying validation workflows that include security scanning. This satisfies requirements for high-quality, consistent, and testable codebases.

How do I initialize a new module structure and run a full validation suite for Python development?

Initialize a new module structure and run a full validation suite by applying the skill to the current directory. This executes automated linting, type checking, and test coverage to standardize your Python development.

Does this Python testing and refactoring approach work without external dependencies?

Yes, this Python testing and refactoring approach works without external dependencies. It enforces modern documentation standards and automated validation workflows natively to maintain production-grade code quality.