Industry-standard gradient boosting libraries for tabular data and structured datasets. XGBoost and LightGBM excel at classification and regression tasks on tables, CSVs, and databases. Use when working with tabular machine learning, gradient boosting trees, Kaggle competitions, feature importance analysis, hyperparameter tuning, or when you need state-of-the-art performance on structured data.
Install
The individual skill folder is not confirmed. This command opens the repository’s skill selector; follow the upstream instructions.
skills CLI
npx skills add tondevrel/scientific-agent-skills