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xlsx

Create, edit, and analyze Excel files with openpyxl and pandas.

127|22|Updated Feb 20, 2026
Search Tags:#financial modeling#data analysis#pandas#openpyxl#excel
One-click install
npx skills add https://github.com/flonat/flonat-research --skill xlsx-flonat
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/flonat/flonat-research/tree/main/skills/xlsx
Command: npx skills add https://github.com/flonat/flonat-research --skill xlsx-flonat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, pandas, python-dateutil, freezegun, openpyxl, pytz, pywin32, xlrd, xlutils, xlwt, xlxml, libreoffice, scripts/recalc.py, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines Excel file management, data analysis, and formula verification, making complex financial modeling and spreadsheet tasks more efficient.

Core Features & Use Cases

  • Excel File Manipulation: Create, edit, and analyze Excel files with formulas and formatting.
  • Data Analysis: Utilize pandas for data manipulation and analysis.
  • Formula Verification: Ensure Excel formulas are correct with the scripts/recalc.py script.
  • Use Case: For instance, a financial analyst can use this Skill to quickly calculate investment multiples and rates using Excel formulas without manual calculations.

Quick Start

Use the xlsx skill to add a new sheet with a formula to calculate the average of a given range of cells in the workbook 'financial_model.xlsx'.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel file creation and data analysis with pandas and openpyxl?▼

Automating Excel file creation and data analysis involves using openpyxl and pandas to programmatically create, edit, and analyze spreadsheets with formulas and formatting. This approach streamlines complex financial modeling tasks.

What is the best way to verify Excel formulas without opening the file manually?▼

Verifying Excel formulas without manual intervention is handled by running the scripts/recalc.py script. It automatically recalculates and validates the formulas within your Excel workbook to ensure calculation accuracy.

Do I need LibreOffice to recalculate Excel formulas using openpyxl?▼

Yes, you need LibreOffice installed to recalculate and validate Excel formulas. The Skill relies on LibreOffice specifically for executing formula recalculations that openpyxl cannot perform independently.

Can I use pandas for financial modeling and complex calculations in Excel?▼

Yes, you can use pandas for financial modeling and complex calculations in Excel. Pandas handles the underlying data manipulation and analysis, while openpyxl manages the spreadsheet formatting and formula integration.

How do I add a new sheet with an averaging formula to an existing financial model workbook?▼

To add a new sheet with an averaging formula to an existing financial model workbook, you use the Skill to load the file and apply openpyxl functions. This inserts the sheet and computes the average for the specified cell range.

What are the limitations of using openpyxl for Excel data visualization and formula verification?▼

The main limitation of using openpyxl for Excel data visualization and formula verification is its inability to natively calculate formulas. It requires a LibreOffice dependency to execute formula recalculations and validate outputs.

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