What problem does it solve? Turning raw CSV or tabular data into a board-ready Excel dashboard requires coordinating KPI formulas, chart data ranges, sparklines, conditional formatting, print setup, and recalculation settings — a process that is error-prone and often ships broken files with stale cached values, clipped titles, or blank charts. ## 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 so values update when data changes. - Charts, sparklines, and conditional formatting: Adds cell-range-linked charts with named series and presets, time-series sparklines, and semantic CF rules (databar, colorscale, iconset, formulacf) scaled to dataset size. - 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 opens directly onto a Dashboard sheet showing Total Revenue and other KPI cards, a revenue trend line chart, a sparkline, and formatted source data — validated end to end. ## Quick Start Ask the AI to build an executive KPI dashboard from your sales CSV file with revenue KPI cards, a trend chart, and conditional formatting, delivered as a single validated xlsx file.