ty

Perform static type checking on Python code with configurable rules.

3|1|Updated Jun 20, 2020

Search Tags:#code quality #static analysis #python #type checking #mypy #pyright

Ready to run

npx skills add https://github.com/gmolveau/dotfiles --skill ty

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a fast and efficient way to check Python code for type errors, improving code quality and maintainability.

Core Features & Use Cases

Type Checking: Analyzes Python files and directories for type inconsistencies.
Rule Configuration: Allows customization of error levels (error, warn, ignore) for specific type checking rules.
Python Version Targeting: Supports checking code against specific Python versions and platforms.
Use Case: Integrate this Skill into your CI/CD pipeline to automatically catch type errors before they reach production, ensuring robust Python applications.

Quick Start

Use the ty skill to check all Python files in the current directory for type errors.

Frequently Asked Questions about ty

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

FAQPage Schema

How do I check Python code for type errors using static analysis?▼

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.

Can I target a specific Python version for type checking?▼

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.

How does ty compare to mypy and pyright for Python type checking?▼

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.

How do I integrate Python type checking into a CI/CD pipeline?▼

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.