What problem does it solve? Spreadsheet work often breaks down on formula errors, lost cached values, and inconsistent formatting when files are generated programmatically. This Skill produces Excel workbooks whose formulas actually evaluate, whose conventions match the original file, and whose numbers can be verified before delivery. ## Core Features & Use Cases - Create and edit workbooks: Build .xlsx, .xlsm, .xltx, .csv, and .tsv files with openpyxl and pandas, applying professional fonts, number formats, and financial-modeling color conventions. - Mandatory formula recalculation: Run scripts/recalc.py to recalculate every formula through LibreOffice, returning JSON with error counts and cell locations for #VALUE!, #REF!, #NAME?, and other failures. - Safe handling of edge cases: Detects external workbook links that recalculation would destroy, preserves VBA macros with keep_vba, and avoids functions LibreOffice cannot evaluate. - Use Case: A user asks for a revenue projection model. The Skill writes SUMIFS and INDEX/MATCH formulas, recalculates the file, confirms zero errors, and spot-checks computed cells before delivering the workbook. ## Quick Start Use the xlsx skill to create a quarterly budget spreadsheet with formulas for totals and then verify it recalculates without errors.