What problem does it solve? Working with spreadsheet files programmatically often leads to broken formulas, hardcoded values, and formatting inconsistencies. This Skill provides a complete workflow for creating, editing, and analyzing .xlsx, .xlsm, .csv, and .tsv files while guaranteeing zero formula errors and professional financial-model formatting standards. ## Core Features & Use Cases - Formula-first spreadsheet generation: Builds Excel files with live formulas (SUM, growth rates, ratios) instead of hardcoded Python-computed values, keeping workbooks dynamic and updateable. - Automated recalculation and error detection: Uses the bundled recalc.py script with LibreOffice to recalculate all formulas and report #REF!, #DIV/0!, #VALUE!, and other errors with exact cell locations. - Financial modeling conventions: Enforces industry-standard color coding (blue inputs, black formulas, green cross-sheet links), number formatting, and assumption documentation for professional models. - Use Case: A user asks to build a revenue projection model from raw sales data. The Skill creates the workbook with openpyxl, writes formulas referencing assumption cells, applies currency and percentage formats, then runs recalc.py to verify zero errors before delivery. ## Quick Start Use the xlsx skill to create a financial model spreadsheet from my sales data with formulas for totals and growth rates, then recalculate it to confirm there are no formula errors.