Purvansh Joshi enhanced the Sktime repository by improving documentation and API references for estimator types, focusing on the clarity and discoverability of unified estimator interfaces. Using Python and leveraging API development skills, Purvansh rewrote docstrings for major scitype classes such as forecaster, classifier, and transformer, and introduced a new API reference page integrated into the documentation index. The work included programmatic listing of estimator types, ensuring users could easily navigate and understand scitype semantics. All changes were validated through local documentation builds and registry checks, reflecting a targeted, documentation-driven approach without introducing new dependencies or altering core functionality.