Pyright Type Checker

What it does

This skill enables AI agents to perform static type checking on Python code using the Pyright engine. It analyzes source files to detect type errors, missing definitions, and incorrect usage patterns before runtime execution occurs.

When to use it

• Reviewing complex Python modules where type safety is critical for reliability.
• Validating code generated by an AI agent to ensure it adheres to strict typing standards.
• Identifying potential bugs related to variable mismatches or undefined attributes in a development pipeline.
• Enforcing consistent data structures across a large codebase during refactoring tasks.

Key capabilities

• Static analysis of Python source code without executing it.
• Detection of type inference errors and explicit annotation issues.
• Identification of missing imports and undefined variables.
• Support for advanced typing features like generics and protocols.

Example prompts

• "Run a full type check on the utils.py file using Pyright and list all reported errors."
• "Analyze this new Python function and explain any type mismatches found by the checker."
• "Refactor this script to fix the type errors highlighted by the Pyright analysis."

Tips & gotchas

Ensure your Python environment has the pyright package installed before invoking the skill, as it relies on external dependencies. While highly effective for catching logic flaws early, remember that static analysis cannot guarantee runtime behavior in dynamic scenarios involving complex object interactions or external APIs.