Perform static type checking on Python code with configurable rules.
npx skills add https://github.com/gmolveau/dotfiles --skill ty
Please help me install this Agent Skill. Skill: ty Source: https://github.com/gmolveau/dotfiles/tree/main/.ia/skills/ty Command: npx skills add https://github.com/gmolveau/dotfiles --skill ty
This Skill provides a fast and efficient way to check Python code for type errors, improving code quality and maintainability.
Use the ty skill to check all Python files in the current directory for type errors.
High-intent search queries and answers about installing and using this skill.
You can configure Python type checking rules by defining error severity levels (error, warn, ignore) in a pyproject.toml or ty.toml file. This configuration also supports file inclusion and exclusion patterns to target specific parts of your project.
Yes, Python version targeting is supported during type checking to ensure your code aligns with specific Python versions and platforms. This ensures that type analysis accurately reflects the runtime environment you intend to deploy.
Ty provides fast and efficient Python type checking similar to other static analysis tools like mypy and pyright. It focuses on quickly identifying type inconsistencies and potential runtime errors to improve code quality across Python projects.
Integrating static type checking into a CI/CD pipeline automatically catches type errors before they reach production. Running the type checker on your Python files ensures robust applications by enforcing type consistency during the build process.
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