Create, edit, recalculate and validate Excel workbooks preserving formulas and formatting.
npx skills add https://github.com/CarbeneAI/Forge --skill xlsx-carbeneai
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/CarbeneAI/Forge/tree/main/.claude/skills/xlsx Command: npx skills add https://github.com/CarbeneAI/Forge --skill xlsx-carbeneai
This Skill eliminates the manual, error-prone work of creating, updating, and validating spreadsheet models by ensuring formulas, formatting, and templates are preserved and recalculated correctly.
Create a new .xlsx from dataset.csv with formulas and formatting, then run the recalc.py script to recalculate and verify there are no formula errors.
High-intent search queries and answers about installing and using this skill.
To build Excel financial models from CSV files, you can use pandas for data manipulation and openpyxl to create .xlsx workbooks with in-sheet formulas. The workflow ensures professional formatting is applied and formulas are calculated correctly within the spreadsheet.
The best way to edit existing Excel workbooks without breaking formatting is using openpyxl workflows. This approach preserves your existing corporate templates and formulas while allowing modifications, ensuring the original styling remains intact during spreadsheet automation tasks.
You verify and recalculate Excel formulas to ensure zero errors by running the LibreOffice recalc.py script. This recalculates all values in your .xlsx workbook and validates the spreadsheet to confirm there are no formula errors before final delivery.
Yes, this approach supports creating .xlsx files with in-sheet formulas for data analysis. It combines pandas for data manipulation with openpyxl for Excel-native formulas and styling, delivering analysis-ready spreadsheets that match corporate template conventions.
You can update spreadsheet templates and automate file modifications across .xlsx, .xlsm, .csv, and .tsv formats. The process modifies existing workbooks while strictly preserving templates, formulas, and formatting for financial modeling and data analysis tasks.
Excel formulas show errors after automated workbook modifications when recalculation is not properly enforced. Running LibreOffice via recalc.py recalculates values and validates the workbook, enforcing zero formula errors and ensuring templates and formatting are preserved.
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