What problem does it solve? Spreadsheet tasks often produce broken files: hardcoded values instead of live formulas, #REF! and #DIV/0! errors, and inconsistent financial formatting. This Skill enforces a disciplined workflow for building and editing .xlsx, .xlsm, .csv, and .tsv files so every deliverable recalculates cleanly and follows professional conventions. ## Core Features & Use Cases - Formula-first spreadsheet generation: Builds workbooks with openpyxl using real Excel formulas (SUM, growth rates, ratios) instead of Python-hardcoded values, keeping files dynamic and updateable. - Mandatory recalculation and error scanning: Runs scripts/recalc.py via LibreOffice to recalculate all formulas and returns JSON listing every #REF!, #DIV/0!, #VALUE!, and #NAME? error with exact cell locations. - Financial modeling standards: Applies industry color conventions (blue inputs, black formulas, green cross-sheet links), number formats ($#,##0, 0.0%, 0.0x multiples), and source documentation for hardcoded values. - Use Case: A user asks to build a three-year revenue projection model. The Skill creates the workbook with assumption cells and formulas, recalculates it with LibreOffice, fixes any reported errors, and delivers a clean .xlsx. ## Quick Start Use the xlsx skill to create a financial model spreadsheet from my data and verify it contains zero formula errors.