xlsx

Create and edit Excel files with openpyxl and pandas.

Updated Jun 18, 2026
One-click install
npx skills add https://github.com/liujiayi3703/scientific-research-skills --skill xlsx-liujiayi3703
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/liujiayi3703/scientific-research-skills/tree/main/library/skills/xlsx
Command: npx skills add https://github.com/liujiayi3703/scientific-research-skills --skill xlsx-liujiayi3703

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines complex Excel tasks, ensuring accurate data analysis, professional formatting, and seamless workflows.

Core Features & Use Cases

  • Excel Modeling: Build financial models, tables, and charts with precision.
  • Data Analysis: Utilize pandas for powerful data manipulation and visualization.
  • Formatting: Enforce consistent professional formatting across all deliverables.
  • Use Case: Consider a scenario where you need to create a financial model for a new project. Use this Skill to construct the model with proper formatting, error-free formulas, and clear data presentation.

Quick Start

Run the 'excel_model' script with the 'create' command to build a new financial model with the desired parameters.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel formatting and formula application in Python?

You can automate Excel formatting and formula application in Python using the openpyxl and pandas libraries to handle data input, enforce professional formatting, and ensure error-free outputs.

What is the best way to build a financial model in Excel with Python?

The best way to build a financial model in Excel with Python is using pandas for data manipulation and openpyxl for constructing tables, charts, and standardized model formatting.

Do I need LibreOffice to recalculate Excel formulas generated by openpyxl?

Yes, you need LibreOffice to recalculate Excel formulas generated by openpyxl, ensuring the computed values are correctly evaluated and updated within the output files.

Can I use pandas and openpyxl together for Excel data analysis and visualization?

Yes, you can use pandas and openpyxl together for Excel data analysis and visualization, leveraging pandas for data manipulation and openpyxl for formatting and chart creation.

How to create a new Excel financial model from a script?

To create a new Excel financial model from a script, run the 'excel_model' script with the 'create' command to build the model with your desired parameters and formatting.

Are there limitations when using Python for administrative Excel workflows?

Python administrative Excel workflows require LibreOffice for formula recalculation and may face limitations with complex native Excel macros, though they ensure standardized, error-free outputs.