xlsx

Create, edit, and analyze spreadsheets with openpyxl and pandas.

Updated Jun 19, 2026
One-click install
npx skills add https://github.com/Li-Bai-GOAT/intelligent-analysis-agent --skill xlsx-li-bai-goat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/Li-Bai-GOAT/intelligent-analysis-agent/tree/main/sandbox_skills/xlsx
Command: npx skills add https://github.com/Li-Bai-GOAT/intelligent-analysis-agent --skill xlsx-li-bai-goat

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of creating, editing, and analyzing spreadsheets, offering advanced features for data manipulation and visualization.

Core Features & Use Cases

  • Spreadsheet Creation: Build new spreadsheets with formulas and formatting.
  • Data Analysis: Perform in-depth analysis with support for various statistical methods.
  • Visualization: Generate charts and graphs for visual representation of data.
  • Use Case: Suppose you need to analyze financial data for a company. This Skill can assist in creating a financial model, performing calculations, and visualizing the results in a comprehensive spreadsheet.

Quick Start

Create a new spreadsheet with the xlsx skill and populate it with the following data: | Column A | Column B | | --- | --- | | Revenue | Cost |

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate financial modeling and spreadsheet creation in Python?

Automate financial modeling and spreadsheet creation using Python libraries to handle data manipulation, formula recalculation, and visualization. This approach streamlines building new spreadsheets with formulas and formatting for financial analysis.

Can I use pandas and openpyxl to generate charts for data analysis?

Yes, you can use pandas and openpyxl to generate charts for data analysis. The workflow supports creating visual representations of data, performing in-depth statistical analysis, and recalculation within spreadsheets.

What's the best way to edit existing spreadsheets and recalculate formulas?

The best way to edit existing spreadsheets and recalculate formulas is by using Python libraries like openpyxl and pandas for file handling. This allows precise data manipulation and automated updates without manual intervention.

Does this spreadsheet automation approach work for generating data visualization reports?

Yes, this spreadsheet automation approach works for generating data visualization reports. It handles creating charts and graphs for visual data representation, making it suitable for comprehensive financial reporting and analysis tasks.

How to perform in-depth data analysis on spreadsheet files without manual formatting?

Perform in-depth data analysis on spreadsheet files without manual formatting by leveraging Python libraries. This method handles data manipulation and statistical methods programmatically, automating the entire analysis and report generation process.