python-protocols

Teach Python data model, protocols, and dunder methods for Pythonic code.

Updated Feb 17, 2026
One-click install
npx skills add https://github.com/Objective-Arts/lens-dist --skill python-protocols
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: python-protocols
Source: https://github.com/Objective-Arts/lens-dist/tree/main/canon/python-protocols
Command: npx skills add https://github.com/Objective-Arts/lens-dist --skill python-protocols

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers write more idiomatic, efficient, and maintainable Python code by deeply understanding and leveraging Python's data model and protocols, moving beyond basic inheritance.

Core Features & Use Cases

  • Data Model Mastery: Understand and implement special methods (dunder methods) for natural object behavior.
  • Protocol-Oriented Design: Favor implementing protocols (duck typing) over rigid inheritance.
  • Pythonic Patterns: Learn best practices like using @property, __slots__, and context managers.
  • Use Case: Refactor existing Python classes to use special methods for operations like addition, representation, and iteration, making them integrate seamlessly with Python's built-in functions and syntax.

Quick Start

Explain how to implement the Sequence protocol for a custom class.

Frequently Asked Questions about python-protocols

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

FAQPage Schema
How do I implement the Sequence protocol in Python instead of using inheritance?

To implement the Sequence protocol in Python, you define special dunder methods like __getitem__ and __len__ to enable indexing and length checks, favoring this duck typing approach over rigid class inheritance for natural object behavior.

What are Python dunder methods and when do I need them for custom classes?

Python dunder methods are special hooks in the data model that define how objects behave with built-in functions. You need them to enable natural operations like addition, representation, and iteration for custom classes.

What's the best way to make Python objects memory-efficient using __slots__?

The best way to make Python objects memory-efficient is by defining __slots__ in your class, which prevents the dynamic creation of instance dictionaries and reduces memory overhead for object-oriented applications.

How do I use @property to manage attributes in Pythonic code?

You use the @property decorator to turn methods into managed attributes, allowing controlled access and computation without changing the calling syntax for readable, Pythonic code.

Does implementing the Container protocol require inheriting from Python built-ins?

No, implementing the Container protocol does not require inheriting from Python built-ins. You define the __contains__ method directly in your class to support the 'in' operator via duck typing.

Why use Python protocols over traditional object-oriented inheritance?

You use Python protocols over traditional inheritance to achieve flexible, Pythonic code that integrates seamlessly with built-in functions through duck typing, avoiding the rigidity and deep hierarchies of strict object-oriented design.