xlsx

Create, edit, and analyze .xlsx, .csv, and .tsv spreadsheets with pandas and openpyxl.

Updated Mar 2, 2026
One-click install
npx skills add https://github.com/DMT123/claude-skills-collection --skill xlsx-dmt123
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/DMT123/claude-skills-collection/tree/main/core/xlsx
Command: npx skills add https://github.com/DMT123/claude-skills-collection --skill xlsx-dmt123

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill empowers you to efficiently create, modify, and analyze spreadsheet files, eliminating manual errors and saving significant time on data-related tasks.

Core Features & Use Cases

  • Data Manipulation: Read, edit, and clean .xlsx, .csv, and .tsv files using pandas.
  • Formula Management: Create new spreadsheets or update existing ones with complex Excel formulas and professional formatting using openpyxl.
  • Use Case: Automatically generate a financial projection spreadsheet, ensuring all formulas are error-free and adhere to industry-standard color-coding and number formatting.

Quick Start

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

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate editing and adding columns to existing xlsx files without breaking formulas?

To automate editing xlsx files without breaking formulas, use pandas for data manipulation and openpyxl to preserve existing templates. This approach ensures zero formula errors while adding columns, cleaning messy tabular data, and maintaining professional formatting.

Can I recalculate Excel formulas automatically when generating spreadsheets with openpyxl?

Yes, you can recalculate Excel formulas automatically by integrating LibreOffice through a recalculation script. While openpyxl handles formula creation and formatting, LibreOffice integration ensures the computed values are updated accurately without manual file reopening.

What is the best way to clean messy tabular data from CSV and TSV files for spreadsheet analysis?

The best way to clean messy tabular data from CSV and TSV files is using pandas. It efficiently reads, edits, and cleans tabular data formats, allowing you to seamlessly convert and export the structured datasets into formatted xlsx spreadsheets.

Does this spreadsheet automation approach support converting between CSV, TSV, and xlsx formats?

Yes, this spreadsheet automation approach fully supports converting between CSV, TSV, and xlsx formats. It utilizes pandas to read and clean the input tabular data, then leverages openpyxl to output professionally formatted spreadsheets with error-free formulas.

How do I create a financial projection spreadsheet with industry-standard color-coding and number formatting?

To create a financial projection spreadsheet with industry-standard color-coding and number formatting, use openpyxl to apply complex Excel formulas and professional cell styles. This ensures all calculations remain error-free while matching standard reporting formats.