Python Patterns

The python-patterns skill provides developers with idiomatic Python conventions, type hints, and best practices for writing robust, maintainable code aligned with PEP 8 standards. It guides Python developers writing, reviewing, or refactoring code by emphasizing readability, explicit logic, and Python-preferred patterns like EAFP exception handling. The skill addresses the need for consistent, high-quality Python development by documenting core principles and modern techniques including type annotations, type aliases, and protocol-based typing.

skills.sh installs: 7K
GitHub stars: 229.1K
last updated: Jul 14, 2026

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Install

$ npx -y skills add affaan-m/everything-claude-code --skill python-patterns --agent claude-code

Installs into .claude/skills of the current project.

Files

Python Development Patterns

Idiomatic Python patterns and best practices for building robust, efficient, and maintainable applications.

When to Activate

Writing new Python code
Reviewing Python code
Refactoring existing Python code
Designing Python packages/modules

Core Principles

1. Readability Counts

Python prioritizes readability. Code should be obvious and easy to understand.

# Good: Clear and readable
def get_active_users(users: list[User]) -> list[User]:
    """Return only active users from the provided list."""
    return [user for user in users if user.is_active]


# Bad: Clever but confusing
def get_active_users(u):
    return [x for x in u if x.a]

2. Explicit is Better Than Implicit

Avoid magic; be clear about what your code does.

# Good: Explicit configuration
import logging

logging.basicConfig(
    level=logging.INFO,
    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)

# Bad: Hidden side effects
import some_module
some_module.setup()  # What does this do?