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python-patterns

Review Python code for idiomatic patterns and best practices.

Updated Apr 30, 2026
Search Tags:#best practices#error handling#python#type hints#concurrency#idiomatic patterns
One-click install
npx skills add https://github.com/Ced3-han/Harness-Settings --skill python-patterns-ced3-han
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-patterns
Source: https://github.com/Ced3-han/Harness-Settings/tree/main/skills/python-patterns
Command: npx skills add https://github.com/Ced3-han/Harness-Settings --skill python-patterns-ced3-han

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers write clear, efficient, and maintainable Python code by providing guidance on idiomatic patterns, best practices, and common pitfalls.

Core Features & Use Cases

  • Idiomatic Patterns: Offers a comprehensive guide to Pythonic idioms and PEP 8 standards.
  • Type Hints: Explains the use of type hints for modern Python development.
  • Error Handling: Covers best practices for error handling and exception management.
  • Comprehensions and Generators: Discusses the use of list comprehensions, generator expressions, and generator functions.
  • Data Classes and Named Tuples: Provides an overview of data classes and named tuples for efficient data handling.
  • Decorators: Explains the use of function and class-based decorators for code reuse.
  • Concurrency Patterns: Covers threading, multiprocessing, and async/await for concurrent programming.
  • Package Organization: Offers guidelines for organizing Python projects.
  • Memory and Performance: Discusses techniques for memory efficiency and performance optimization.
  • Python Tooling Integration: Lists essential commands for code formatting, linting, type checking, testing, and security scanning.

Quick Start

Run the python-patterns skill to review your Python code for best practices and idiomatic patterns.

Frequently Asked Questions about python-patterns

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

FAQPage Schema
What are the best practices for Python type hints and error handling?▼

Best practices for Python type hints and error handling involve using modern type annotations for readability and managing exceptions explicitly. This Skill provides guidelines to integrate type hints and structure error handling for maintainable code.

How do I use Python comprehensions and generators for memory efficiency?▼

Python comprehensions and generators optimize memory efficiency by yielding items lazily rather than building entire lists. This Skill explains how to implement list comprehensions and generator expressions for performance optimization.

Does this guide cover Python concurrency patterns like async await and threading?▼

Yes, this guide covers Python concurrency patterns including threading, multiprocessing, and async/await. It provides best practices for concurrent programming to help you write efficient and robust applications.

When should I use Python data classes and named tuples for data handling?▼

Python data classes and named tuples should be used for efficient, structured data handling. This Skill provides an overview of using data classes and named tuples to ensure readability and maintainability in your code.

How do I organize a Python project package and integrate linting tools?▼

To organize a Python project package and integrate tooling, follow guidelines for package structure and use commands for formatting, linting, type checking, and security scanning. This Skill lists essential tooling integration commands.

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