What problem does it solve? Spreadsheet tasks often fail silently: formulas written by scripts have no cached values, unsupported functions become #NAME? errors, and external workbook links get destroyed on save. This Skill provides a disciplined workflow for producing spreadsheet files that actually recalculate correctly and follow professional formatting conventions. ## Core Features & Use Cases - Spreadsheet creation and editing: Build or modify .xlsx, .xlsm, .xltx, .csv, and .tsv files with openpyxl for formulas and formatting, or pandas for bulk data movement. - Mandatory formula recalculation: Run scripts/recalc.py to evaluate every formula through LibreOffice, returning a JSON report of error cells (#VALUE!, #REF!, #NAME?, and more) so nothing ships broken. - Financial modeling conventions: Apply standard color coding (blue inputs, black formulas, green cross-sheet links), number formats, and assumption documentation for professional models. - Use Case: A user asks to build a revenue projection workbook from raw CSV data. The Skill writes SUMIFS and INDEX/MATCH formulas, recalculates the file in place, fixes any reported errors, and delivers a workbook whose values update when inputs change. ## Quick Start Ask the AI to create or edit a spreadsheet file, for example: "Build an xlsx budget tracker from my expenses.csv with monthly totals computed by formulas."