What problem does it solve? Building financial models in Excel by hand leads to silent errors: hardcoded values pasted where formulas belong, undocumented assumptions, and no way for a reviewer to audit the work. This Skill produces .xlsx workbooks headless with openpyxl that follow strict banker-grade conventions so every model is auditable, flexible, and reviewable. ## Core Features & Use Cases - Blue/Black/Green Cell Conventions: Hardcoded inputs are blue, live formulas are black, and cross-sheet links are green, so reviewers instantly see assumptions versus calculations. - Formulas Over Hardcodes: Every derived cell is written as a live Excel formula string, with named ranges for cross-sheet references and cell comments documenting the source of every hardcoded input. - Balance Checks & Sensitivity Tables: Includes a Checks tab that ties balance sheets and cash flows with TRUE/FALSE flags, plus properly centered 5x5 or 7x7 sensitivity tables with the base case highlighted. - Use Case: An analyst needs a DCF model for a client deliverable. The Skill writes an Inputs tab with sourced assumptions, a DCF tab of live formulas, a Checks tab validating the model, and a WACC/terminal-growth sensitivity table, then recalculates the workbook with LibreOffice before delivery. ## Quick Start Use the excel-author skill to build a DCF model for a company with FY2024 revenue of 1.25 billion and 12 percent growth, saved to ./out/model.xlsx.