What problem does it solve? Building or editing .xlsx files programmatically often produces broken formulas, clipped columns, stale cached values, and unprofessional formatting. This Skill provides a disciplined workflow for producing correct, well-formatted Excel workbooks through the officecli CLI, with built-in QA and visual verification steps. ## Core Features & Use Cases - Workbook creation and editing: Set cells, formulas, named ranges, charts, pivot tables, conditional formatting, and data validation via officecli commands. - CSV/TSV bulk import: Load large datasets into sheets with the native import command or Python-generated batch chunks. - Financial model standards: Enforce industry color coding, number formats, and assumption documentation for budgets, forecasts, and valuation models. - Mandatory QA cycle: Query for formula errors, inspect cached values, and audit rendered HTML previews before delivery. - Use Case: Build a 3-statement financial model with cross-sheet formulas, charts, and print-ready layout, then verify zero formula errors and no clipped columns before sending it to stakeholders. ## Quick Start Ask the AI to create an Excel workbook with monthly revenue data, a SUM total formula, currency formatting, and proper column widths using the officecli-xlsx skill.
