autogluon

Automate AutoGluon conda-forge feedstock version upgrades. Use when the user wants to upgrade AutoGluon to a new version in conda-forge, create PRs for AutoGluon conda feedstocks, or update autogluon.common, autogluon.core, autogluon.features, autogluon.tabular, autogluon.multimodal, autogluon.timeseries, or autogluon meta-package feedstocks.

Add a new ML model to the TabArena benchmark system. Use this skill whenever the user wants to integrate a new tabular ML model into TabArena — even if they just say "add X model", "integrate X", "support X", or "wrap X for the benchmark". Creates all required files: the AutoGluon model wrapper, the search-space generator, the per-model `info.py`, a test, and the `pyproject.toml` extra. Reads existing similar models for inspiration and optionally fetches documentation URLs to understand the new model's API.