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14790897
14790897COMMUNITY
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xlsx

Create, modify, and validate Excel spreadsheets using pandas and openpyxl.

7|5|Updated May 7, 2026
Search Tags:#automation#financial modeling#data analysis#pandas#openpyxl#spreadsheet#excel
One-click install
npx skills add https://github.com/14790897/MiQi --skill xlsx-14790897
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/14790897/MiQi/tree/main/miqi/skills/xlsx
Command: npx skills add https://github.com/14790897/MiQi --skill xlsx-14790897

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, openpyxl, defusedxml, lxml, and includes scripts (resource) components.

What problem does it solve?

This skill solves the challenge of programmatically creating, editing, and analyzing complex spreadsheet files while ensuring formula integrity and professional formatting standards.

Core Features & Use Cases

  • Dynamic Modeling: Automates the creation of financial models using Excel formulas rather than hardcoded values to ensure data remains updateable.
  • Data Cleaning & Restructuring: Transforms messy, malformed tabular data into clean, structured spreadsheets.
  • Formula Verification: Automatically recalculates formulas and identifies errors like #REF! or #DIV/0! using integrated LibreOffice tools.

Quick Start

Use the xlsx skill to open the file named quarterly_data.xlsx, calculate the total revenue column using a formula, and verify that there are no formula errors in the final output.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel spreadsheet creation with formulas instead of hardcoded values?▼

You can automate Excel spreadsheet creation using this skill to generate dynamic financial models with live formulas via openpyxl and pandas, ensuring outputs remain fully updateable rather than relying on hardcoded values.

What is the best way to clean and restructure messy tabular data into a structured spreadsheet?▼

The best way to clean messy tabular data is using this skill's data restructuring capabilities, which transform malformed spreadsheet inputs into clean, structured Excel files while adhering to professional formatting conventions.

Can I use pandas and openpyxl to verify and recalculate Excel formulas for errors?▼

Yes, you can use this skill to verify and recalculate Excel formulas, leveraging integrated LibreOffice tools to automatically identify formula errors like #REF! or #DIV/0! and ensure zero-error output.

Does this Excel automation approach support professional financial modeling and formatting standards?▼

This Excel automation approach supports professional financial modeling by enforcing professional formatting conventions and maintaining formula integrity throughout complex spreadsheet generation and modification.

Why do my Excel formulas show #REF! or #DIV/0! errors after programmatic modification?▼

Excel formulas show #REF! or #DIV/0! errors after programmatic modification when formula integrity is broken, which this skill prevents by automatically recalculating formulas and validating outputs using LibreOffice integration.

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