What problem does it solve? Working with spreadsheet files programmatically often leads to broken formulas, hardcoded values that cannot update, and Excel errors like #REF! or #DIV/0! that only surface after delivery. This Skill provides a disciplined workflow for creating, editing, and analyzing .xlsx, .xlsm, .csv, and .tsv files so every deliverable contains live formulas, zero errors, and professional formatting. ## Core Features & Use Cases - Formula-first spreadsheet creation: Build workbooks with openpyxl where all calculations are native Excel formulas, never hardcoded Python results, so files stay dynamic and updateable. - Mandatory recalculation and error scanning: The scripts/recalc.py tool uses LibreOffice to recalculate all formulas and returns JSON reporting every #REF!, #DIV/0!, #VALUE!, #NAME?, and #N/A error with exact cell locations. - Financial modeling conventions: Enforces industry-standard color coding (blue inputs, black formulas, green cross-sheet links), number formatting, and documented sources for hardcoded values. - Use Case: A user pastes raw quarterly sales data and asks for a revenue forecast model. The Skill builds a workbook with assumption cells, growth formulas, and proper currency formatting, then recalculates and verifies zero formula errors before delivery. ## Quick Start Use the xlsx skill to create a financial model spreadsheet from my sales data with growth formulas and verify it has no formula errors.