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xlsx

Create, edit, and analyze Excel spreadsheets using openpyxl and pandas.

Updated May 17, 2026
Search Tags:#financial modeling#data analysis#pandas#spreadsheet#excel
One-click install
npx skills add https://github.com/galeep/plugin-place --skill xlsx-galeep
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/galeep/plugin-place/tree/main/plugins/kdense-document-skills/skills/xlsx
Command: npx skills add https://github.com/galeep/plugin-place --skill xlsx-galeep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, pandas, python-calamine, defusedxml, gcc, libreoffice, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the process of creating, editing, analyzing, and converting Excel spreadsheets, saving you time and reducing errors.

Core Features & Use Cases

  • Create and Edit Spreadsheets: Build and modify Excel files with formulas, formatting, and data analysis capabilities.
  • Data Analysis: Perform data analysis using pandas and openpyxl, with support for large datasets and complex operations.
  • Convert Files: Convert .csv and .tsv files to Excel format, making spreadsheet output more accessible.
  • Use Case: Picture a scenario where you need to analyze financial data. This Skill can help you create a financial model in Excel, analyze the data, and even export it to a spreadsheet format.

Quick Start

Use the xlsx skill to create a new Excel file with basic financial data.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I create and edit Excel spreadsheets for financial modeling in Python?▼

To create and edit Excel spreadsheets for financial modeling, this Skill uses openpyxl and pandas to build files with formulas, formatting, and data analysis capabilities. It streamlines spreadsheet automation and helps reduce manual errors.

Can I convert CSV and TSV files to Excel format for data analysis?▼

Yes, you can convert CSV and TSV files to Excel format. This conversion makes spreadsheet output more accessible and allows you to perform further data analysis using pandas and openpyxl on the converted datasets.

Do I need LibreOffice and gcc installed to run spreadsheet automation tasks?▼

Yes, you need LibreOffice and gcc for Unix sockets, along with Python 3.8 or higher. These dependencies are required to run the spreadsheet creation, editing, and conversion processes smoothly.

What is the best way to analyze large datasets in Excel using pandas?▼

The best way to analyze large datasets in Excel using pandas is through this Skill, which supports complex operations and data visualization. It optimizes pandas and openpyxl to handle large-scale spreadsheet processing efficiently.

Does this tool support adding formulas and formatting when building Excel files?▼

Yes, this tool supports adding formulas and formatting when building Excel files. It utilizes openpyxl to enable spreadsheet creation and modification with full data analysis capabilities for financial models.

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