types

Enforce Python type hinting standards with mypy static analysis.

4|2|Updated Dec 28, 2025
One-click install
npx skills add https://github.com/lazygophers/ccplugin --skill types-lazygophers
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: types
Source: https://github.com/lazygophers/ccplugin/tree/main/plugins/languages/python/skills/types
Command: npx skills add https://github.com/lazygophers/ccplugin --skill types-lazygophers

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill addresses the lack of type safety and clarity in Python code by enforcing type hinting standards, improving code maintainability and reducing runtime errors.

Core Features & Use Cases

  • Type Annotation: Apply type hints to function arguments, return values, and variables.
  • Generics and Protocols: Utilize advanced typing features for flexible and reusable code.
  • Mypy Configuration: Integrate mypy for static type checking with strict configurations.
  • Use Case: Ensure all functions in a Python project have clear type annotations, making the codebase easier to understand and refactor, and catching potential type-related bugs before runtime.

Quick Start

Apply Python type hints to the provided function signature.

Frequently Asked Questions about types

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

FAQPage Schema
How do I add Python type hints to my function signatures?

To add Python type hints, you apply type annotations to function arguments, return values, and variables. This enforces type hinting standards, improving code maintainability and reducing runtime errors before execution.

What is the best way to use generics and protocols for flexible Python code?

The best way to use generics and protocols is by applying advanced typing features to your Python code. This allows you to define flexible and reusable code structures while maintaining strict static type checking standards.

Does mypy work with strict configuration for static type checking?

Yes, mypy works with strict configurations for static type checking. You can integrate mypy to enforce Python type hinting standards, utilizing type annotations and generic types to catch potential type-related bugs before runtime.

How do I enforce type annotations across a Python project?

You enforce type annotations across a Python project by applying type hints to all function arguments, return values, and variables. Integrating mypy configuration ensures static analysis catches missing annotations and type-related bugs.

When do I need type hints to improve Python code maintainability?

You need type hints to improve Python code maintainability when your project lacks type safety and clarity. Enforcing type hinting standards makes the codebase easier to understand and refactor, effectively reducing runtime errors.