python-type-safety
Python type safety with type hints, generics, protocols, and strict type checking. Use when adding type annotations, implementing generic classes, defining structural interfaces, or configuring mypy/pyright.
Security Assessment
About python-type-safety
The 'python-type-safety' skill enhances the reliability and maintainability of Python code by leveraging the language's type system. It addresses the common problem of runtime errors that can arise from type mismatches by enabling developers to use type hints, generics, and protocols. This proactive approach allows for static analysis of code, catching potential issues before they manifest during execution, thus improving overall code quality and developer productivity.
FAQ
How do I add type hints to my existing Python code?
You can add type hints by specifying the expected types for function parameters, return values, and variables using the syntax: def function_name(param: Type) -> ReturnType.
Is this skill compatible with Python versions earlier than 3.10?
Yes, while Python 3.10 introduced cleaner union syntax, the skill is still compatible with earlier versions using the typing module.
What tools can I use for strict type checking?
You can use tools like mypy with the --strict flag or pyright to enforce strict type checking in your code.
Can I use this skill for existing projects?
Absolutely! You can enable strict type checking incrementally using per-module overrides in mypy or pyright.
Are there any limitations to using generics in Python?
While generics allow for reusable code, they can introduce complexity, and understanding type variables and constraints is essential for effective use.
Install python-type-safety
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
wshobson/agents