Core Python Best Practices

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Core Python Best Practices

This skill defines the coding standards for Python development within the project. It emphasizes modern features, type safety, and readability.

When to Use This Skill

• New Scripts: Starting a new agent or tool.
• Refactoring: Modernizing legacy code.
• Library Design: Creating reusable modules.

Core Capabilities

1. Type Hinting: Mandatory use of typing module or native types (Python 3.9+).
2. Data Classes: Using @dataclass or Pydantic for data containers instead of raw dictionaries/​tuples.
3. Modern Control Flow: Using match/​case (Python 3.10) where appropriate.
4. Error Handling: Proper use of try/​except chains and custom exceptions.

Workflow

1. Define Interface: Start with function signatures and type hints.
2. Select Structure: Choose between a simple function, a class, or a dataclass.
3. Implement: Write logic using list comprehensions and generators where possible.
4. Document: Add docstrings (Google or NumPy style).

Example Usage

User: "Write a function to process a list of users."

Agent Action:

1. Reads references/​rules.md.
2. Generates:

   from dataclasses import dataclass
   
   @dataclass
   class User:
       id: int
       name: str
   
   def process_users(users: list[User]) -> None:
       """Processes a list of users."""
       for user in users:
           ...