xlsx

Create, edit, and analyze spreadsheet files in .xlsx, .xlsm, .csv, and .tsv formats.

Updated Mar 8, 2026
One-click install
npx skills add https://github.com/Jaydpatel01/.github --skill xlsx-jaydpatel01
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/Jaydpatel01/.github/tree/main/skills/xlsx
Command: npx skills add https://github.com/Jaydpatel01/.github --skill xlsx-jaydpatel01

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the creation, editing, and analysis of spreadsheet files, eliminating manual data manipulation and complex formula errors.

Core Features & Use Cases

  • Data Manipulation: Read, write, and modify data in .xlsx, .xlsm, .csv, and .tsv files.
  • Formula Management: Create, apply, and recalculate complex Excel formulas, ensuring accuracy.
  • Data Cleaning & Formatting: Clean messy tabular data and apply professional formatting standards.
  • Use Case: Convert a messy CSV file into a well-formatted Excel report with calculated totals and charts.

Quick Start

Use the xlsx skill to read the data from 'sales_data.csv' and save it as 'formatted_sales.xlsx'.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I convert a CSV file to a formatted Excel xlsx file?

You can convert a CSV file to a formatted Excel xlsx file by reading the raw tabular data and saving it with professional formatting. This skill handles data cleaning and outputs a structured spreadsheet report.

Can I apply and recalculate Excel formulas in xlsx and xlsm files?

Yes, you can apply and recalculate Excel formulas in xlsx and xlsm files. Formula recalculation is processed through LibreOffice scripts, ensuring complex spreadsheet formulas are accurately computed and updated.

Do I need pandas and openpyxl to manipulate spreadsheet data?

Yes, you need pandas and openpyxl for spreadsheet data manipulation. These dependencies are required to read, write, and modify tabular data across .xlsx, .xlsm, .csv, and .tsv file formats.

What is the best way to clean messy tabular data in a spreadsheet?

The best way to clean messy tabular data in a spreadsheet is to use automated data manipulation features. This process eliminates manual cleaning, corrects complex formula errors, and applies professional formatting standards.

Does this spreadsheet tool support tsv files for data analysis?

Yes, this spreadsheet tool fully supports tsv files for data analysis. You can read, write, and modify data in .tsv format alongside standard .csv and .xlsx files for comprehensive tabular data manipulation.