关于
Streamlines the process of maintaining high-quality documentation across Python modules by enforcing consistent NumPy-style formatting. It systematically extracts information from function signatures and existing text to build complete docstrings that include detailed parameter types, return descriptions, exception handling, and executable code examples. This skill is particularly useful for developers preparing codebases for automated API reference generation with Sphinx or improving the maintainability of complex scientific and machine learning libraries where clear documentation is critical.