What problem does it solve? Working with spreadsheet files programmatically often produces broken formulas, hardcoded values, and inconsistent formatting. 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, AVERAGE, growth rates) instead of hardcoded Python-calculated 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 deliverables. - 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 formatted financial model from my sales data with formulas, then recalculate it and fix any formula errors.