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.
About scikit-survival
scikit-survival is a Claude AI skill developed by K-Dense-AI. 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. This powerful Claude Code plugin helps developers automate workflows and enhance productivity with intelligent AI assistance.
Why use scikit-survival? With 0 stars on GitHub, this skill has been trusted by developers worldwide. Install this Claude skill instantly to enhance your development workflow with AI-powered automation.

K-Dense-AI
claude-scientific-skills
Download Skill Files
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