sensitivity-tableslisted

# Sensitivity Tables (One- and Two-Variable) ## When to use Use when a strategy or finance model has a single key output and you want to show how that output responds as one or two drivers vary across a range. Typical drivers are price, volume, discount rate, growth, churn, or cost per unit. This skill BUILDS a downloadable .xlsx from scratch in the Claude app (openpyxl plus numpy), with live formulas and a recalc-and-verify pass. It is not the Claude for Excel add-in. ## What it builds A single `Sensitivity` tab that attaches to an existing model. It references the model's input cells and output cell, lays out one-variable and two-variable grids, and color-scales the result block. If the source model lives on another sheet, the grid links to it with cross-sheet references so it stays live. ## Build workflow 1. Identify the output cell (for example `Model!B40` holding NPV) and the one or two input cells that drive it (for example `Model!B6` discount rate, `Model!B7` growth). 2. Confirm the output is a live formula chain back to those inputs. If the output is hardcoded, stop and wire the model first; a Data Table over a constant returns the constant. 3. Choose input ranges around the base case (for example base discount rate 10 percent, sweep 6 to 14 percent in steps of 2). 4. Build the native Excel Data Table structure: corner formula, input axes, and the `{=TABLE(r,c)}` array (see spec). 5. ALSO build the code-computed grid as a robust fallback: re-evaluate the model in P