What problem does it solve? Raw data exports are hard to read and act on. This Skill turns structured data into polished, insight-ready Excel workbooks with consistent formatting, navigation, and built-in analysis so users can open the file and immediately understand it. ## Core Features & Use Cases - Four-Layer Workbook Design: Structure (sheet organization, layout, navigation), Information (number formats, data context, key insights), Visual (themes, typography, borders, charts), and Interaction (freeze panes, filters, hyperlinks, sorting). - Theme & Typography System: Twelve predefined color themes with serif/sans-serif font pairings, semantic colors, and row highlight tints applied consistently across the workbook. - Data Visualization: Bar/line/pie charts, data bars, color scales, sparklines, and conditional highlighting wired to theme colors via openpyxl. - Use Case: Given quarterly revenue data by region, generate a workbook with an Overview sheet containing key insights and a sheet index, a formatted data table with data bars, and a themed bar chart comparing regions. ## Quick Start Create an Excel workbook from my sales data with an overview sheet, formatted tables, and a revenue comparison chart.
