xlsx

Creates and validates Excel workbooks from CSV, TSV, and XLSX inputs using pandas and openpyxl.

Updated Aug 27, 2026

Search Tags:#automation #validation #pandas #formulas #excel #xlsx #data-cleaning

Ready to run

npx skills add https://github.com/javi2481/proyecto-data-x --skill xlsx-javi2481

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/javi2481/proyecto-data-x/tree/main/.claude/skills/xlsx
Command: npx skills add https://github.com/javi2481/proyecto-data-x --skill xlsx-javi2481

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Excel workbooks often require repetitive editing, data cleaning, formula maintenance, and consistent formatting across many files. This skill provides automation to read, create, modify, and validate XLSX deliverables, reducing manual toil and human error.

Core Features & Use Cases

Read, analyze, and modify Excel workbooks programmatically using pandas and openpyxl.
Create new Excel files or update existing workbooks while preserving formulas and templates.
Recalculate formulas and verify zero-errors with the included recalc workflow for reliable outputs.
Use cases include cleaning messy data, generating standardized reports, and converting between CSV/TSV and Excel formats.

Quick Start

Open a workbook, perform the standard cleanup, and save the updated spreadsheet.

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 editing and data cleaning without losing formulas?▼

Automating Excel workbook editing is possible using pandas and openpyxl to modify XLSX files while preserving formulas and template integrity. This approach reduces manual toil and human error during data cleaning and reporting.

Can I convert CSV and TSV files into formatted Excel workbooks programmatically?▼

You can convert CSV and TSV files into formatted Excel workbooks by reading the inputs with pandas and writing them to XLSX format using openpyxl. This enables standardized report generation from various tabular data sources.

Does openpyxl support recalculating Excel formulas to verify zero-error outputs?▼

While openpyxl reads and writes XLSX files, formula recalculation to verify zero-error outputs is handled by executing a LibreOffice recalculation workflow, ensuring reliable and validated spreadsheet deliverables.

What is the best way to validate data and maintain template integrity across multiple Excel files?▼

The best way to validate data and maintain template integrity across Excel files is to programmatically read, modify, and validate XLSX deliverables using openpyxl, ensuring error-free spreadsheets and consistent formatting.

How do I clean messy data and generate standardized Excel reports from multiple inputs?▼

You can clean messy data and generate standardized Excel reports by reading CSV, TSV, or XLSX inputs with pandas, applying validation rules, and writing the cleaned data into formatted Excel workbooks while preserving formulas.