add-function

To add new functions to the Semantic Link Labs Python library, follow a guided workflow covering file location selection, writing code with imports and decorators, exporting the function, and adding tests with numpydoc documentation.

Creating a Python API wrapper requires adhering to coding standards that include using necessary imports, applying required decorators, structuring function signatures correctly, and writing numpydoc style docstrings for documentation.

Writing tests and documentation is required when adding a function to the library, ensuring consistency and adherence to best practices by utilizing the numpydoc docstring style and provided testing templates.

The correct file location depends on the function category, with the Skill guiding placement for top-level, admin, report, lakehouse, and TOM methods to maintain proper library structure and export paths.

The function export process involves placing the function in the correct category file, applying required decorators, and registering it for export to ensure it is available for library use and testing.