Scikit Survival
k-dense-ai/scientific-agent-skillsA scikit-survival skill helps you analyze time to an event, like how long a machine part lasts before breaking. It works with censored data where some events are not seen yet. You can build models like Cox models or Random Survival Forests to make predictions.
This skill is great for researchers, data scientists, and engineers who study things like patient survival, equipment failure, or customer churn. It handles all the steps from preparing data to checking model accuracy with scores like the concordance index.
You do not need to be an expert. The tools are simple to use and work with your existing Python code. Just tell the tool what you want to predict and it does the rest.
Add Scikit Survival skill to your workflow
Global
mkdir -p ~/.claude/skills/scikit-survivalProject
mkdir -p .claude/skills/scikit-survivalSource Repository
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