xlsx

Manage and analyze Excel files using pandas and openpyxl.

Updated Mar 14, 2026
One-click install
npx skills add https://github.com/ironkid90/Lucky5-v7 --skill xlsx-ironkid90
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/ironkid90/Lucky5-v7/tree/main/.github/skills/xlsx
Command: npx skills add https://github.com/ironkid90/Lucky5-v7 --skill xlsx-ironkid90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, openpyxl, libreoffice, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines Excel file management and analysis, enabling users to perform tasks like data extraction, formatting, and formula verification with ease.

Core Features & Use Cases

  • Data Analysis: Leverage pandas for data manipulation, visualization, and basic operations.
  • Excel File Editing: Create, edit, and analyze Excel files with openpyxl.
  • Formula Verification: Ensures that all Excel models are delivered with zero formula errors and are properly documented.
  • Use Case: Suppose you have a financial model with multiple formulas and assumptions. This Skill can be used to verify the formulas, ensure the correct number formatting, and check for any potential errors in the calculations.

Quick Start

To create a new Excel file and populate it with data, use the command: python create_excel.py -i 'input.csv' -o 'output.xlsx'

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I verify Excel formulas and check for calculation errors in a financial model?

To verify Excel formulas, this Skill uses openpyxl and LibreOffice to recalculate models, check for calculation errors, and ensure correct number formatting. It guarantees financial models are delivered with zero formula errors and proper documentation.

How do I extract and analyze data from Excel files using pandas?

To extract and analyze data from Excel files, this Skill leverages pandas for data manipulation, formatting, and basic operations. It streamlines data extraction from spreadsheets for downstream data processing workflows.

Do I need LibreOffice to recalculate formulas when analyzing Excel files?

Yes, you need LibreOffice installed alongside pandas and openpyxl to recalculate formulas. LibreOffice handles the formula recalculation engine, while openpyxl manages file editing and pandas performs the data extraction.

How do I create an Excel file from a CSV file for financial analysis?

To create an Excel file from a CSV, run the provided script using the command `python create_excel.py -i 'input.csv' -o 'output.xlsx'`. This generates a formatted Excel file for your financial analysis workflows.

What is the best way to edit and format Excel files using openpyxl?

The best way to edit and format Excel files is using openpyxl through this Skill, which handles spreadsheet creation, data formatting, and formula verification. It provides a structured approach to Excel automation tasks.

Are there limitations when using pandas for Excel automation compared to openpyxl?

While pandas excels at data manipulation and basic operations, openpyxl is required for direct Excel file editing, creation, and formatting. Both dependencies are used together to handle distinct data processing and spreadsheet formatting tasks.