Orchestrate data science analysis across the full project lifecycle. Use when the user needs to clean or prepare data, perform exploratory analysis, engineer features, run statistical tests, build or evaluate models, design causal studies, create visualizations, monitor deployed models, or apply responsible AI principles. Routes to the right specialist skill based on where the user is in the data science workflow.
