What problem does it solve?
Many tasks require accurate, editable spreadsheet deliverables but authors frequently struggle with messy tabular inputs, broken formulas, lost formatting, and non-recalculated models. This Skill centralizes best-practice workflows for creating, cleaning, editing, and converting .xlsx/.xlsm/.csv/.tsv files while enforcing formula-first design, preserving templates, and eliminating formula errors prior to delivery.
Core Features & Use Cases
- Open / Read / Edit / Create: Load existing spreadsheets or build new workbooks with preserved formatting and templates.
- Formula-first workflows: Insert Excel formulas (not hardcoded values), maintain consistent formatting, and verify recalculation results.
- Recalculation & Validation: Recalculate formulas using the provided scripts/recalc.py with LibreOffice and scan for Excel errors (#REF!, #DIV/0!, #NAME?, etc.).
- Data cleaning & conversion: Restructure malformed CSV/TSV data into clean worksheets, apply data types, and export between tabular formats.
- Financial model conventions: Built-in guidance for assumption placement, color-coding, number formats, and documentation for hardcoded sources.
- Use Case: Convert a messy CSV of transactions into a multi-sheet workbook with dynamic formulas, a assumptions sheet, formatted outputs, and a verified recalc report.
Quick Start
Open the file sales_report.xlsx, add an assumptions sheet with named assumption cells, compute projections using Excel formulas that reference those cells, run formulas recalculation, and return a validated output.xlsx file.