What problem does it solve? Working with spreadsheet files programmatically often produces broken formulas, hardcoded values, and inconsistent formatting. 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 generation: Builds Excel files with live formulas instead of hardcoded Python-computed values, so models stay dynamic and recalculable. - Automated recalculation and error detection: Uses LibreOffice via scripts/recalc.py to recalculate all formulas and report #REF!, #DIV/0!, #VALUE!, and other errors with exact cell locations. - Financial modeling conventions: Enforces industry-standard color coding (blue inputs, black formulas, green cross-sheet links), number formatting, and assumption documentation. - Use Case: A user asks to build a revenue projection model from messy CSV data. The Skill cleans the data with pandas, writes formulas with openpyxl, applies formatting standards, recalculates with LibreOffice, and fixes any reported errors before delivery. ## Quick Start Use the xlsx skill to create a formatted financial model spreadsheet from the attached sales data CSV with live formulas and no calculation errors.