What problem does it solve? Turning raw CSV or tabular data into a board-ready Excel dashboard requires coordinating KPI formulas, cell-range-linked charts, sparklines, conditional formatting, print setup, and recalculation settings — a composition that is easy to get wrong (stale cached values, blank charts, clipped titles, ### columns). ## Core Features & Use Cases - Dashboard-first composition: Creates a dedicated Dashboard sheet as the active tab on open, with formula-driven KPI cards referencing upstream Data and Summary sheets. - Charts, sparklines, and conditional formatting: Adds cell-range-linked charts with named series and titles, time-series sparklines, and semantic CF rules (data bars, color scales, icon sets, formula rules). - Eight-gate QA delivery pipeline: Verifies KPI formula coverage, chart counts and title widths, series naming, CF presence, activeTab and fullCalcOnLoad settings, placeholder leaks, visual rendering, and cachedValue freshness before delivery. - Use Case: Given a 12-month revenue CSV, produce a single .xlsx where the user lands on a Dashboard sheet showing Total Revenue and other KPIs, a revenue trend line chart, a sparkline, and print-ready one-page output for a board pack. ## Quick Start Ask the AI to build an executive KPI dashboard from your sales CSV file with revenue KPI cards, a trend chart, and print-ready formatting delivered as a single xlsx file.