What problem does it solve? Working with spreadsheets programmatically often leads to hardcoded values, broken formulas, and undetected errors like #REF! or #DIV/0!. This Skill provides a structured workflow for building and modifying Excel files that remain dynamic, correctly formatted, and error-free. ## Core Features & Use Cases - Spreadsheet Creation & Editing: Build new .xlsx files or modify existing ones using openpyxl while preserving formulas and formatting, with pandas support for data analysis. - Formula Recalculation & Error Detection: Run the included recalc.py script with LibreOffice to recalculate all formulas and scan every cell for Excel errors, returning JSON with exact error locations. - Financial Modeling Standards: Apply industry-standard color coding (blue inputs, black formulas, green cross-sheet links), number formatting, and assumption-cell conventions for professional financial models. - Use Case: Build a revenue projection model where growth rates live in assumption cells, all totals use Excel formulas, and recalc.py verifies zero formula errors before delivery. ## Quick Start Ask the AI to create an Excel financial model with formulas for revenue projections and then recalculate and verify it contains no formula errors.