Scikit-Survival skill: what it does and how to install it

What it does. Guides scikit-survival workflows from outcome coding and leakage-safe preprocessing through model selection, time-dependent prediction and censoring-aware evaluation. It covers Cox, tree, boosting, SVM and competing-risk CIF models, with local commands for validation, training, metrics and reports.

When to use it. Use for right-censored survival analysis or nonparametric competing-risk cumulative incidence with Python. It does not provide Fine-Gray regression or support claims of clinical advice, causal evidence or clinical utility.