Does it support the latest Python 3.10+ syntax?

Yes, the skill is optimized for modern Python features like the pipe operator (|) for unions and built-in generic collections (list[str] vs List[str]).

Can I use this for structural subtyping?

Absolutely. It includes patterns for implementing the Protocol class, allowing for structural subtyping (duck typing) with full static verification.

Is it useful for projects with circular dependencies?

Yes, it provides best practices for using the TYPE_CHECKING flag and string forward references to resolve type-related circular import issues.

How does this skill help with mypy integration?

It provides standardized configurations for mypy.ini and pyproject.toml, while providing automated commands to run static analysis across your entire project.

Python Type System

Name: Python Type System
Author: TheBushidoCollective

byTheBushidoCollective

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Developer Tools

Implements rigorous Python type hints and static analysis using mypy to ensure type-safe, maintainable codebases.

About

This skill empowers Claude to leverage the full power of Python's modern typing features, from basic annotations to advanced patterns like Protocols and ParamSpec. It facilitates the configuration of static type checkers like mypy, ensures compliance with PEP standards including Python 3.10+ syntax, and helps developers catch bugs early by defining clear interfaces and data structures. Use this skill when refactoring legacy Python code, architecting new systems with structural subtyping, or enforcing strict type checking in high-stakes environments.

Key Features

Modern Python 3.10+ union syntax and built-in generic implementations
Advanced generic programming including TypeVar, ParamSpec, and Type Guards
Structural subtyping with Protocols for flexible, decoupled interfaces
Comprehensive mypy configuration and automated static analysis execution
39 GitHub stars
Strict dictionary shape definitions using TypedDict and Literal types

Use Cases

Migrating legacy dynamically typed Python projects to strictly typed systems
Implementing type-safe decorators and higher-order functions using ParamSpec
Defining robust API contracts and JSON response shapes with TypedDict

About

Key Features

Modern Python 3.10+ union syntax and built-in generic implementations
Advanced generic programming including TypeVar, ParamSpec, and Type Guards
Structural subtyping with Protocols for flexible, decoupled interfaces
Comprehensive mypy configuration and automated static analysis execution
39 GitHub stars
Strict dictionary shape definitions using TypedDict and Literal types

Use Cases

Migrating legacy dynamically typed Python projects to strictly typed systems
Implementing type-safe decorators and higher-order functions using ParamSpec
Defining robust API contracts and JSON response shapes with TypedDict