xlsx

Create, edit, analyze, and convert Excel and CSV/TSV spreadsheet files.

1|Updated Apr 22, 2026
One-click install
npx skills add https://github.com/Herxinsasa/Skills-Collector --skill xlsx-herxinsasa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/Herxinsasa/Skills-Collector/tree/main/anthropics-skills/skills/xlsx
Command: npx skills add https://github.com/Herxinsasa/Skills-Collector --skill xlsx-herxinsasa

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the tedious manual work of managing spreadsheet files by providing professional-grade workflows for creating, editing, validating, and converting Excel and CSV/TSV data.

Core Features & Use Cases

  • Professional Excel Creation: Build workbooks from scratch or data sources with proper formatting, formulas, and financial modeling standards.
  • Data Cleaning & Transformation: Convert messy CSV/TSV files with malformed rows, misplaced headers, and garbage data into clean, structured spreadsheets.
  • Formula Validation: Automatically recalculate and scan for Excel errors like #REF! and #DIV/0! using LibreOffice integration to ensure zero-error deliverables.

Quick Start

Use the xlsx skill to clean the messy quarterly sales data in 'q3_data.csv' and generate a professionally formatted Excel file with validated formulas and financial color coding.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel creation and edit xlsx files programmatically?

You can automate Excel creation and edit xlsx files programmatically by using openpyxl to build workbooks from scratch, apply professional formatting, and insert validated formulas for financial modeling.

What's the best way to clean messy CSV files and convert them to formatted Excel spreadsheets?

The best way to clean messy CSV files and convert them to Excel spreadsheets is to transform malformed rows and misplaced headers into structured data, generating a professionally formatted xlsx workbook.

Does openpyxl support Excel formula validation and error detection for #REF! and #DIV/0!?

Yes, openpyxl supports Excel formula validation by integrating with LibreOffice to automatically recalculate formulas and scan for errors like #REF! and #DIV/0!, ensuring zero-error deliverables.

Can I use this spreadsheet automation approach for financial modeling and report generation?

Yes, you can use this spreadsheet automation approach for financial modeling and report generation, as it builds workbooks with proper financial formatting, color coding, and validated formulas.

What are the limitations of using openpyxl for complex spreadsheet maintenance workflows?

A limitation of using openpyxl for complex spreadsheet maintenance is that it cannot natively recalculate formulas or detect errors, requiring an additional LibreOffice integration for formula validation and error scanning.