xlsx

Open, modify, and generate Excel workbooks using Python with openpyxl and pandas.

Updated Apr 8, 2026
One-click install
npx skills add https://github.com/ThuHuynh1438/pm-kit --skill xlsx-thuhuynh1438
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/ThuHuynh1438/pm-kit/tree/main/.claude/skills/xlsx
Command: npx skills add https://github.com/ThuHuynh1438/pm-kit --skill xlsx-thuhuynh1438

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, pandas, defusedxml, lxml, validators.

What problem does it solve?

This skill automates the creation, cleaning, and transformation of spreadsheet data, turning manual Excel tasks into repeatable, reliable workflows.

Core Features & Use Cases

  • Open, modify, and generate .xlsx/.xlsm/.csv/.tsv files to automate data preparation, formatting, and reporting.
  • Clean and restructure messy tabular data, apply formulas, and convert between common spreadsheet formats for downstream systems.
  • Use Case: Convert a messy CSV of orders into a polished Excel workbook with calculated totals and formatted sheets ready for management review.

Quick Start

Provide a sample dataset and instruct the AI to generate a cleaned, formatted Excel workbook.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel workbook formatting and data cleaning from a CSV file?

You can automate Excel workbook formatting and data cleaning by using Python with pandas and openpyxl to read messy CSV files, apply formulas, restructure tabular data, and output a polished .xlsx file ready for review.

Can I convert a CSV file to a formatted xlsx workbook with calculated totals?

Yes, you can convert a CSV file to a formatted xlsx workbook by loading the tabular data with pandas, applying formula calculations for totals, and generating a valid Excel workbook with openpyxl for management reporting.

Does this approach require Python and openpyxl to generate Excel files?

Yes, generating valid Excel files with this approach requires Python along with openpyxl and pandas to read, write, and transform workbooks, ensuring the final .xlsx output is properly formatted and ready for use.

What is the best way to convert tabular data between xlsx, csv, and tsv formats?

The best way to convert tabular data between xlsx, csv, and tsv formats is to use pandas to load the source file and openpyxl to write the transformed spreadsheet, ensuring accurate data transformation and format conversion for downstream systems.

Why does my Excel data transformation workflow fail when processing messy spreadsheets?

Excel data transformation workflows often fail on messy spreadsheets due to misaligned columns or invalid formatting, but using pandas to clean and restructure tabular data ensures reliable conversion into a valid .xlsx workbook.

Are there limitations when using pandas and openpyxl to modify complex Excel workbooks?

When using pandas and openpyxl to modify complex Excel workbooks, limitations may arise with highly customized formatting or advanced native Excel features, though standard data cleaning, formula calculations, and format conversions are fully supported.