Individual skill

scikit-survival

Comprehensive toolkit for survival analysis and time-to-event modeling in Python using scikit-survival. Use this skill when working with censored survival data, performing time-to-event analysis, fitting Cox models, Random Survival Forests, Gradient Boosting models, or Survival SVMs, evaluating survival predictions with concordance index or Brier score, handling competing risks, or implementing any survival analysis workflow with the scikit-survival library.

tests/ext_conformance/artifacts/templates-davila7/cli-tool/components/skills/scientific/scikit-survival/SKILL.md

Source commit 70110103476bad94b3d700f50909d08842df50cc

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Network or broad shell

Last checked

Nov 3, 2026

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