What problem does it solve? Working with spreadsheets programmatically often leads to broken formulas, hardcoded values, and formatting inconsistencies. This Skill provides a disciplined workflow for creating, editing, and analyzing Excel files (.xlsx, .xlsm, .csv, .tsv) while preserving formulas, enforcing financial modeling conventions, and guaranteeing zero formula errors. ## Core Features & Use Cases - Formula-First Spreadsheet Creation: Build workbooks with openpyxl using live Excel formulas instead of hardcoded Python-calculated values, keeping files dynamic and updateable. - Financial Modeling Standards: Apply industry-standard color coding (blue inputs, black formulas, green cross-sheet links), number formats, and assumption-cell conventions. - Automated Recalculation & Error Detection: Use the recalc.py script with LibreOffice to recalculate all formulas and scan every cell for errors like #REF!, #DIV/0!, and #VALUE!. - Use Case: Build a three-statement financial model from raw company data, with assumptions in dedicated cells, proper currency formatting, and a verified error-free recalculated output file. ## Quick Start Create an Excel financial model from my data with formulas for totals and growth rates, then recalculate it and fix any formula errors.