SurPyval

Use this skill for any survival, reliability, or time-to-event analysis with the SurPyval Python package (`import surpyval`). Covers fitting parametric distributions (Weibull, LogNormal, Exponential, ...), non-parametric estimators (Kaplan-Meier, Nelson-Aalen, Turnbull), regression (AFT, proportional hazards, Cox, additive hazards, Buckley-James, proportional odds), competing risks, recurrent events (NHPP/HPP, renewal/imperfect-repair, MCF), degradation/RUL, multivariate copulas, and model serialisation. Trigger whenever the user works with censored, truncated, or interval data, mentions `surpyval`/`Weibull.fit`, reliability/failure-time/hazard/survival curves, or the xcnt data model.