What problem does it solve? Working with spreadsheets programmatically often breaks formulas, loses formatting, or produces unstyled output that requires manual cleanup. This Skill provides a structured workflow for creating, editing, and analyzing spreadsheets while preserving formulas, styles, and layout integrity. ## Core Features & Use Cases - Formula-Aware Editing: Modify existing workbooks with openpyxl without breaking formulas, references, or established formatting, and recalculate cached values before delivery. - Analysis and Visualization: Use pandas for filtering, aggregation, and pivoting of CSV/TSV data, plus openpyxl charts and LibreOffice rendering for visual review. - Finance-Grade Formatting: Apply investment banking conventions such as blue inputs, black formulas, red parenthesized negatives, and cited sources in cell comments. - Use Case: Build a DCF valuation model from raw assumptions, with proper number formats, section headers, formula-driven totals, and rendered sheets reviewed for layout issues before delivery. ## Quick Start Use the spreadsheet skill to create a styled xlsx workbook from my sales data with formulas for totals and a summary sheet.
