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xlsx

Create, edit, and analyze Excel files with pandas and openpyxl.

Updated Aug 23, 2026
Search Tags:#financial modeling#data analysis#spreadsheet#excel#data cleaning#formula generation
One-click install
npx skills add https://github.com/Myfro9/skills --skill xlsx-myfro9
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/Myfro9/skills/tree/main/xlsx
Command: npx skills add https://github.com/Myfro9/skills --skill xlsx-myfro9

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines complex spreadsheet tasks, from data cleaning and formula creation to financial modeling and data analysis, eliminating manual errors and saving significant time.

Core Features & Use Cases

  • Formula Generation: Creates accurate Excel formulas for calculations, lookups, and data manipulation.
  • Data Cleaning & Formatting: Cleans messy data, applies consistent formatting, and ensures formula integrity.
  • Financial Modeling: Builds robust financial models with industry-standard color coding and number formatting.
  • Use Case: You have a sales report with inconsistent date formats and missing values. Use this Skill to clean the data, standardize dates, fill missing values with appropriate defaults, and calculate the quarterly sales growth rate using correct Excel formulas.

Quick Start

Use the xlsx skill to calculate the sum of values in column B of the attached file 'sales_data.xlsx'.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel formula generation and data cleaning in a spreadsheet?▼

Automate Excel formula generation and data cleaning by using Python libraries like pandas and openpyxl to manipulate .xlsx files, calculate formulas, and standardize inconsistent formatting automatically.

What is the best way to build a financial model in an xlsx file using Python?▼

Build a financial model in an xlsx file by using Python to apply industry-standard color coding, generate accurate calculation formulas, and ensure number formatting adheres to financial modeling standards.

How do I ensure formula accuracy and check for errors in Excel files programmatically?▼

Ensure formula accuracy in Excel files by recalculating formulas and performing error checking via LibreOffice, which validates that generated formulas compute correctly without manual verification.

Can I clean messy data and fill missing values in a sales report spreadsheet automatically?▼

Clean messy data in a sales report spreadsheet by standardizing inconsistent date formats, filling missing values with appropriate defaults, and calculating metrics like quarterly growth using accurate Excel formulas.

Does this approach support converting between different tabular data formats?▼

Yes, this approach supports converting between different tabular formats by leveraging pandas and openpyxl to read, manipulate, and export structured data across various spreadsheet file types.

How do I add columns and compute formulas in an existing .xlsx file?▼

Add columns and compute formulas in an existing .xlsx file by executing Python scripts that utilize openpyxl to append data and insert calculation formulas directly into the worksheet structure.

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