xlsx

Read, edit, format, and clean .xlsx, .xlsm, .csv, and .tsv files.

2|3|Updated Apr 14, 2026
One-click install
npx skills add https://github.com/103492-MaxPaardekam/MAKE-A-THON --skill xlsx-103492-maxpaardekam
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/103492-MaxPaardekam/MAKE-A-THON/tree/main/.github/skills/xlsx
Command: npx skills add https://github.com/103492-MaxPaardekam/MAKE-A-THON --skill xlsx-103492-maxpaardekam

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates and validates spreadsheet workflows, reducing manual editing, data cleaning, and format conversions for large tabular datasets.

Core Features & Use Cases

  • Read, edit, format, and clean .xlsx, .xlsm, .csv, and .tsv files
  • Create new spreadsheets from data sources and generate outputs (reports, dashboards)
  • Use cases: cleaning messy data, applying formulas, converting between formats, and generating ready-to-use spreadsheets

Quick Start

Open a sample workbook, apply a simple formatting change, and save the result as a new file.

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 in Python?

You can automate Excel workbook formatting and data cleaning by using scripts that read, edit, and format .xlsx files. This approach targets workflows involving data cleaning, formula application, and output generation to reduce manual spreadsheet work.

Can I convert CSV or TSV files into formatted XLSX spreadsheets?

Yes, you can convert CSV or TSV files into formatted XLSX spreadsheets. The process supports conversion between .xlsx, .csv, and .tsv formats, allowing you to take raw tabular data and generate ready-to-use spreadsheet outputs.

Do I need openpyxl to manipulate and validate Excel files?

Yes, you need openpyxl to manipulate and validate Excel files. The workflow enforces dependency checks for openpyxl, defusedxml, and lxml to ensure reliable, standards-compliant output during spreadsheet automation.

What is the best way to generate business reports from large tabular datasets?

The best way to generate business reports from large tabular datasets is to automate spreadsheet manipulation. This involves reading data sources, applying formatting and formulas, and generating ready-to-use spreadsheet outputs for business reporting.

Does this approach support creating new spreadsheets from raw data sources?

Yes, this approach supports creating new spreadsheets from raw data sources. It can read data from .xlsx, .xlsm, .csv, and .tsv files, apply the necessary formatting and formulas, and save the result as a new formatted workbook.

Why does my spreadsheet automation fail when processing large data migrations?

Spreadsheet automation may fail during large data migrations if dependency checks are not enforced. Ensuring openpyxl, defusedxml, and lxml are installed guarantees reliable, standards-compliant output for data migration scenarios.