xlsx

Automate spreadsheet data cleaning and formatting across Excel and CSV inputs.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the tedious and error-prone tasks involved in preparing, cleaning, and formatting data across spreadsheet inputs and outputs, eliminating manual drudgery.

Core Features & Use Cases

  • Automated data cleaning: standardizes messy inputs from Excel, CSV, or TSV files for reliable downstream processing.
  • Formula application & formatting: applies calculations and consistent styling across workbooks.
  • Use Case: batch-process a folder of messy CSV files into a clean, analysis-ready Excel workbook with uniform columns and formatting.

Quick Start

Clean and reformat the provided data file into a polished 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 data cleaning and formatting for multiple CSV files?

Automating Excel data cleaning for CSV files involves standardizing messy inputs, restructuring columns, and applying uniform formatting across workbooks. This Skill batch-processes folders of CSV or TSV files into analysis-ready Excel workbooks with consistent styling and preserved formulas.

Can I apply formulas and preserve formatting when writing to an xlsx workbook?

Applying formulas and preserving formatting in an xlsx workbook is fully supported. The Skill leverages Python libraries to read, write, and validate workbook content, ensuring calculations and consistent styling are maintained across real-world spreadsheet workflows.

What is the best way to batch process messy spreadsheet inputs into a clean report?

The best way to batch process messy spreadsheet inputs into a clean report is automating data standardization and column restructuring. This Skill targets batch data cleaning and report generation, transforming disorganized Excel or CSV files into polished, analysis-ready outputs.

Does openpyxl support validating workbook content and restructuring columns?

Openpyxl supports validating workbook content and restructuring columns within this Skill. It leverages openpyxl alongside defusedxml and lxml to read, write, and validate Excel inputs while applying calculations and standardizing data for downstream processing.

How do I standardize inconsistent Excel columns for reliable downstream processing?

Standardizing inconsistent Excel columns for reliable downstream processing requires automated data cleaning. This Skill targets column restructuring and standardization across Excel and CSV inputs, eliminating manual drudgery and preparing uniform data for analysis.