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.
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Installation for Agentic Skill
View all platforms →skilz install Microck/ordinary-claude-skills/scikit-survivalskilz install Microck/ordinary-claude-skills/scikit-survival --agent opencodeskilz install Microck/ordinary-claude-skills/scikit-survival --agent codexskilz install Microck/ordinary-claude-skills/scikit-survival --agent geminiFirst time? Install Skilz: pip install skilz
Works with 22+ AI coding assistants
Cursor, Aider, Copilot, Windsurf, Qwen, Kimi, and more...
Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/Microck/ordinary-claude-skillscp -r ordinary-claude-skills/skills_all/claude-scientific-skills/scientific-skills/scikit-survival ~/.claude/skills/Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- ordinary-claude-skills
- Type
- Non-Technical
- Meta-Domain
- general
- Primary Domain
- general
- Sub-Domain
- machine learning models model
- Market Score
- 27
Browse Category
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