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 Creation: Build workbooks with live Excel formulas via openpyxl instead of hardcoded Python-computed values, keeping files dynamic and updateable. - Automated Recalculation & Error Detection: Run the bundled recalc.py script to recalculate all formulas through LibreOffice and receive a JSON report of every #REF!, #DIV/0!, #VALUE!, or #N/A error with exact cell locations. - Financial Modeling Standards: Apply industry color conventions (blue inputs, black formulas, green cross-sheet links), number formats, and assumption-cell documentation automatically. - Use Case: A user asks to build a revenue projection model from raw sales data; the Skill generates the workbook with formulas, recalculates it via LibreOffice, fixes any reported errors, and delivers a clean .xlsx file. ## Quick Start Create an Excel financial model from my sales data with growth formulas and verify it has no formula errors.
