What problem does it solve? Spreadsheet tasks often fail silently: formulas written by openpyxl have no cached values, unsupported functions become #NAME? errors, and external 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 and pandas, using real formulas instead of hardcoded values. - Mandatory formula recalculation: Run scripts/recalc.py to evaluate every formula through LibreOffice and receive a JSON report of errors by cell location. - Financial modeling conventions: Apply standard color coding, number formats, and assumption documentation for professional financial models. - Use Case: A user asks to add a revenue forecast tab to an existing workbook. 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 Use the xlsx skill to add a totals row with SUM formulas to my sales-report.xlsx and make sure every formula recalculates without errors.