Xlsx

Create, read, analyze, and recalculate Excel spreadsheets with openpyxl and pandas.

1|1|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/RooseveltAdvisors/claude-agent-stack --skill xlsx-rooseveltadvisors
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Xlsx
Source: https://github.com/RooseveltAdvisors/claude-agent-stack/tree/main/skills/Utilities/Documents/Xlsx
Command: npx skills add https://github.com/RooseveltAdvisors/claude-agent-stack --skill xlsx-rooseveltadvisors

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the creation, modification, and analysis of Excel spreadsheets, including complex formulas and financial modeling, ensuring data integrity and accuracy.

Core Features & Use Cases

  • Spreadsheet Creation & Editing: Generate new .xlsx files or modify existing ones with data, formulas, and formatting using openpyxl.
  • Data Analysis: Analyze data within Excel files using the powerful pandas library.
  • Formula Recalculation & Validation: Ensure all formulas are correctly calculated and error-free using recalc.py and LibreOffice.
  • Financial Modeling: Build industry-standard financial models with specific color-coding and formatting conventions.

Quick Start

Use the Xlsx skill to create a new financial projection spreadsheet.

Frequently Asked Questions about Xlsx

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

FAQPage Schema
How do I automate Excel financial modeling and formula recalculation in Python?

Automate Excel financial modeling by creating and recalculating formulas using Python libraries like openpyxl and pandas, ensuring data integrity through automated error checking via LibreOffice.

What is the best way to analyze data within an existing xlsx spreadsheet?

Analyze Excel spreadsheet data by loading the .xlsx file into Python and leveraging the pandas library to process, filter, and evaluate the underlying datasets.

Does openpyxl support industry-standard color coding for financial modeling?

Yes, openpyxl supports financial modeling conventions by applying specific color-coding and formatting to cells, ensuring industry-standard presentation within generated .xlsx files.

How do I validate formula integrity and check for errors in an Excel spreadsheet?

Validate Excel formula integrity by running a dedicated recalculation script that uses LibreOffice to automatically check and recalculate formulas, ensuring spreadsheets are error-free.

Can I use pandas to modify and write data back to an existing xlsx file?

Yes, you can use pandas for data analysis and openpyxl to write modifications back to the existing .xlsx file, combining data manipulation with spreadsheet formatting.