Module Extractor FAQs

Question 1

How does it handle complex dependencies and circular imports?

Accepted Answer

The skill performs a systematic dependency analysis before any code is moved. It identifies internal and external references and applies standard patterns—such as moving shared code to a third module or using 'TYPE_CHECKING' guards—to prevent circular import errors.

Question 2

Will extracting code break my existing imports?

Accepted Answer

No. A key feature of this skill is the use of automated re-export patterns. By adding the extracted components back into the original module's interface, it maintains backwards compatibility so that other parts of your codebase can still access the code from its original location.

Question 3

What does the Module Extractor skill do?

Accepted Answer

The Module Extractor skill automates the process of breaking down large, monolithic code files into smaller, maintainable modules. It handles the identification of classes and functions, moves them to new files, and sets up the necessary re-exports to ensure your project continues to run without broken imports.

Question 4

How does this skill improve my development workflow?

Accepted Answer

It transforms a tedious, error-prone manual refactoring process into a guided, validated workflow. By automating import ordering, file creation, and verification steps (like running mypy and pytest), it ensures your codebase remains clean and functional with minimal manual effort.

Question 5

When should I use the Module Extractor skill?

Accepted Answer

You should use this skill when a module exceeds roughly 500 lines of code, contains multiple unrelated responsibilities, or becomes difficult to test. It is ideal for technical debt reduction and following structured refactoring design documents.

Module Extractor

Module Extractor

Características Principales

Casos de Uso

Características Principales

Casos de Uso