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python-type-hints

Guide Python static type hinting with Mypy and Pyright integration.

13|2|Updated Feb 28, 2026
Search Tags:#static analysis#python#type hints#mypy#typing#pyright#protocols
One-click install
npx skills add https://github.com/amrahman90/python-expert-agent --skill python-type-hints-amrahman90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: python-type-hints
Source: https://github.com/amrahman90/python-expert-agent/tree/main/.opencode/skills/python-type-hints
Command: npx skills add https://github.com/amrahman90/python-expert-agent --skill python-type-hints-amrahman90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps developers write more robust, maintainable, and understandable Python code by leveraging static type hints, reducing runtime errors and improving IDE support.

Core Features & Use Cases

  • Static Type Checking: Integrate with tools like Mypy and Pyright to catch type errors before runtime.
  • Modern Type Syntax: Utilize Python's latest features like | for unions, TypeAlias, TypeVar, ParamSpec, Self, Literal, Protocol, and TypedDict.
  • Use Case: Refactor a legacy Python codebase by systematically adding type hints to functions and classes, enabling static analysis and preventing common bugs related to unexpected data types.

Quick Start

Use the python-type-hints skill to add type hints to the process_data function in src/utils.py.

Frequently Asked Questions about python-type-hints

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

FAQPage Schema
How do I add Python type hints to a legacy codebase?▼

Python type hints support structural subtyping using Protocols and data validation with TypedDict. These features allow you to define complex data shapes and enforce them during static analysis.

Does this Python typing guidance work with Mypy and Pyright?▼

Yes, this guidance supports integration with type checkers like Mypy and Pyright for static analysis. This compatibility allows you to catch type errors before runtime, improving overall code quality and IDE support.

What is the best way to use modern Python type syntax like TypeVar and ParamSpec?▼

Modern Python type syntax utilizes features like TypeVar, ParamSpec, Self, and Literal for advanced typing patterns. Using these constructs allows for precise function signature definitions and robust generic programming.

When do I need to use Protocols and TypedDict in Python?▼

You need Protocols for structural subtyping and TypedDict for data validation when handling complex data structures. These typing features provide enhanced code quality by enforcing data shapes during static analysis.

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