What problem does it solve? Working with spreadsheet files programmatically often produces broken formulas, inconsistent formatting, or static values that cannot update. 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: Builds Excel files with live formulas (never hardcoded values) using openpyxl, then recalculates them via LibreOffice with the scripts/recalc.py script. - Error Detection and Repair: Automatically scans every cell for #REF!, #DIV/0!, #VALUE!, #NAME?, and other Excel errors, returning JSON with exact error locations for fixing. - Financial Modeling Standards: Enforces industry color conventions (blue inputs, black formulas, green cross-sheet links), number formatting rules, and documented hardcode sources. - Use Case: A user asks to build a revenue projection model from raw sales data. The Skill creates a workbook with assumption cells, growth formulas, proper currency formatting, recalculates all formulas, and verifies 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.