xlsx

Create, edit, and analyze spreadsheet files using pandas and openpyxl.

1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/a0972199950/lazy-cv --skill xlsx-a0972199950
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/a0972199950/lazy-cv/tree/main/.agents/skills/xlsx
Command: npx skills add https://github.com/a0972199950/lazy-cv --skill xlsx-a0972199950

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

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

Core Features & Use Cases

  • Spreadsheet Creation & Editing: Generate new .xlsx files from scratch or modify existing ones by adding columns, computing formulas, and applying formatting.
  • Data Analysis & Cleaning: Clean messy tabular data, perform calculations using pandas, and ensure all formulas are error-free.
  • Use Case: You have a sales report in an .xlsx file with inconsistent formatting and missing values. Use this Skill to clean the data, standardize formats, calculate monthly totals using Excel formulas, and ensure no #REF! errors remain.

Quick Start

Use the xlsx skill to create a new spreadsheet named 'sales_report.xlsx' with columns 'Date', 'Product', and 'Revenue', and populate it with the provided data.

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 and data cleaning with pandas?

You can automate Excel spreadsheet creation and data cleaning by using Python libraries like pandas and openpyxl to generate new files, standardize inconsistent formatting, fill missing values, and compute formulas programmatically.

How do I fix formula errors like #REF! when editing xlsx files programmatically?

To fix formula errors when editing xlsx files, you can use a recalculation script powered by LibreOffice to recompute formulas, ensuring that the final delivered spreadsheet contains zero formula errors.

Can I use openpyxl to apply professional formatting and charts to existing Excel files?

Yes, you can use openpyxl alongside pandas to modify existing Excel files by adding columns, computing formulas, applying professional font standards, color-coding financial models, and generating charts.

Does Python support converting messy CSV or TSV data into formatted xlsx files?

Python supports converting messy CSV or TSV data into formatted xlsx files by using pandas to clean the raw tabular data and openpyxl to apply professional formatting and formula calculations.

What is the best way to calculate monthly totals in Excel without manual formula errors?

The best way to calculate monthly totals without manual formula errors is to automate the process using pandas for data manipulation and openpyxl for inserting formulas, followed by a LibreOffice recalculation step to ensure accuracy.

Do I need LibreOffice to recalculate formulas in automated Excel files?

Yes, you need LibreOffice installed to execute the recalculation script, which evaluates the formulas generated by openpyxl and ensures the final spreadsheet is delivered with zero formula calculation errors.