About
This skill facilitates the transition from experimental research code to maintainable Python software by reorganizing logic into a standardized project layout. It specializes in extracting core logic from Jupyter notebooks and scattered scripts into an importable 'src' directory while maintaining existing functionality. By separating concerns such as data loading, preprocessing, and modeling, it ensures your codebase follows industry best practices for modularity and clean import management without breaking existing workflows.
