xlsx

Create, edit, and recalculate Excel spreadsheets with formulas using openpyxl and pandas.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/chhpt/skills --skill xlsx-chhpt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/chhpt/skills/tree/main/skills/xlsx
Command: npx skills add https://github.com/chhpt/skills --skill xlsx-chhpt

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, pandas, defusedxml, lxml, and includes scripts (resource) components.

What problem does it solve? Working with spreadsheet files programmatically often leads to broken formulas, hardcoded values, and formatting inconsistencies. This Skill provides a complete workflow for creating, editing, and analyzing .xlsx, .xlsm, .csv, and .tsv files while guaranteeing zero formula errors and professional financial-model formatting standards. ## Core Features & Use Cases - Formula-first spreadsheet generation: Builds Excel files with live formulas (SUM, growth rates, ratios) instead of hardcoded Python-computed values, keeping workbooks dynamic and updateable. - Automated recalculation and error detection: Uses the bundled recalc.py script with LibreOffice to recalculate all formulas and report #REF!, #DIV/0!, #VALUE!, and other errors with exact cell locations. - Financial modeling conventions: Enforces industry-standard color coding (blue inputs, black formulas, green cross-sheet links), number formatting, and assumption documentation for professional models. - Use Case: A user asks to build a revenue projection model from raw sales data. The Skill creates the workbook with openpyxl, writes formulas referencing assumption cells, applies currency and percentage formats, then runs recalc.py to verify zero errors before delivery. ## Quick Start Use the xlsx skill to create a financial model spreadsheet from my sales data with formulas for totals and growth rates, then recalculate it to confirm there are no formula errors.

Frequently Asked Questions about xlsx

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an Excel file with formulas in Python?

Use openpyxl to write formula strings like '=SUM(B2:B9)' directly into cells, then save the workbook. Formulas are stored but not evaluated, so run the recalc.py script with LibreOffice to compute values and verify no errors exist.

Should I use pandas or openpyxl for Excel files?

Use pandas for data analysis, bulk operations, and simple exports with pd.read_excel and df.to_excel. Use openpyxl when you need formulas, cell formatting, multiple sheets, or editing existing workbooks while preserving structure.

Why do my openpyxl formulas show no calculated values?

openpyxl stores formulas as strings without evaluating them. Recalculate with LibreOffice using the recalc.py script, which runs a macro to compute all formulas and scans every cell for errors like #REF! and #DIV/0!.

How do I fix #REF! and #DIV/0! errors in generated Excel files?

Run recalc.py to get a JSON report listing each error type with exact cell locations. Fix invalid cell references for #REF! errors and add denominator checks for #DIV/0!, then recalculate again until the status is success.

Can openpyxl read calculated values from an existing workbook?

Yes, load the workbook with data_only=True to read cached calculated values. However, never save a workbook opened this way, because formulas will be permanently replaced with their static values.