What problem does it solve? Actuarial models rebuilt in gaspatchio must match an existing gold standard (Excel, lifelib, or a vendor model) exactly, but small timing, rate, or formula differences silently compound into wrong results. This Skill enforces a disciplined variable-by-variable reconciliation workflow so every mismatch is diagnosed, fixed, and documented instead of being waved through. ## Core Features & Use Cases - Tiered Diagnostic Toolkit: Escalates from direct inspection (sign, magnitude, single-cell trace) through pattern detection (scatter plots, residual histograms) to statistical techniques (linear regression, PCA, cohort analysis, waterfall decomposition, error heatmaps, time-series residuals). - Mandatory Build Log: Requires a markdown reconciliation report where every fix cites concrete evidence — variable, time step, source value, gaspatchio value, and delta. - Tolerance Tiers: Classifies differences as exact, tight, reasonable, or directional so teams know when to fix versus document. - Use Case: You are migrating a lifelib term-life model to gaspatchio and the PV of claims is 2.3% off. The Skill walks you through single-policy parquet diffs, a scatter plot revealing proportional bias, and a regression showing slope 1.0833 — pointing directly to an annual-versus-monthly rate conversion bug. ## Quick Start Ask the AI to reconcile your gaspatchio model against your Excel or lifelib reference model, starting with a single specimen policy and diffing outputs variable by variable.
