Automate Excel workbook creation, editing, and analysis with formulas and formatting.
npx skills add https://github.com/mofa-org/mofa-skills --skill xlsx-mofa-org
Please help me install this Agent Skill. Skill: xlsx Source: https://github.com/mofa-org/mofa-skills/tree/main/mofa-xlsx Command: npx skills add https://github.com/mofa-org/mofa-skills --skill xlsx-mofa-org
Excel often requires repetitive setup for data, formulas, and formatting. This Skill automates end-to-end workbook creation, editing, and analysis, while preserving formulas and templates to prevent errors and rework.
Create a new workbook, add your data and formulas, save as an .xlsx file, and run the recalc script to verify formulas.
High-intent search queries and answers about installing and using this skill.
You can automate Excel workbook creation, editing, and formatting by applying formulas and standard color and number formatting rules through scripts, then running a recalc script to verify zero-formula-errors. This eliminates repetitive manual setup for data and templates.
Batch processing multiple Excel files for consistent reporting is achieved by automating workbook editing across .xlsx, .xlsm, .csv, and .tsv files. This approach applies standard formatting and formulas uniformly to generate consistent reports without manual rework.
Yes, openpyxl is used as the underlying dependency, and a mandatory recalculation script (recalc.py) enforces zero-formula-errors in xlsx files. This ensures that all formulas are recalculated and verified for accurate results.
Excel automation for financial modeling and data cleaning is fully supported. It handles tasks like applying formulas, maintaining existing templates, and enforcing color and number formatting conventions across your .xlsx and .xlsm workbooks.
Excel formulas may show errors after automated editing if recalculation is not enforced. Running the mandatory recalc.py script verifies formulas, enforces zero-error results, and ensures that all calculations are updated correctly before saving.
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