xlsx

Read, clean, transform, and convert XLSX, CSV, and TSV spreadsheet data.

1.6k|270|Updated Jan 18, 2026
One-click install
npx skills add https://github.com/ginlix-ai/LangAlpha --skill xlsx-ginlix-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/ginlix-ai/LangAlpha/tree/main/skills/xlsx
Command: npx skills add https://github.com/ginlix-ai/LangAlpha --skill xlsx-ginlix-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, defusedxml, lxml.

What problem does it solve?

This Skill automates reading, cleaning, transforming, and converting spreadsheet data across XLSX, CSV, and TSV formats.

Core Features & Use Cases

  • Open, read, edit, or fix existing spreadsheets (.xlsx, .xlsm, .csv, .tsv) and perform conversions.
  • Clean messy data by restructuring headers, removing junk rows, and applying formulas or formatting.
  • Create new spreadsheets from data sources or templates and convert between formats as part of data pipelines.
  • Use case: when you have a messy CSV export, convert it to a clean XLSX report with proper headers and formulas.

Quick Start

Provide the source spreadsheet path and the desired output format, and the Skill will generate a ready-to-use spreadsheet.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I convert a messy CSV export to a clean XLSX file with proper headers?

To convert a messy CSV export to a clean XLSX file, automate data cleaning by restructuring headers, removing junk rows, and applying formulas. This produces a formatted spreadsheet with zero formula errors and predictable structure for reporting.

Can I repair malformed rows and apply formulas across XLSX, CSV, and TSV formats?

Yes, you can repair malformed rows and apply formulas across XLSX, CSV, and TSV formats. The process reads data using openpyxl and validates XML with defusedxml and lxml to ensure traceable data sources and zero formula errors.

What is the best way to automate cross-format migration for spreadsheet data pipelines?

The best way to automate cross-format migration for spreadsheet data pipelines is to read, transform, and convert data across XLSX, CSV, and TSV formats. This yields predictable formatting and traceable data sources for downstream workflows.

Does openpyxl support fixing existing spreadsheets and applying new formulas?

Yes, openpyxl supports fixing existing spreadsheets and applying new formulas. It edits XLSX and XLSM files directly, enabling header reformatting, junk row removal, and formula application to generate ready-to-use reports.

How do I create a new spreadsheet from a data source or template?

To create a new spreadsheet from a data source or template, provide the source path and desired output format. The automation processes the input, applies necessary transformations, and generates a ready-to-use XLSX, CSV, or TSV file.

Are there limitations when converting XLSX files to CSV or TSV formats?

A limitation when converting XLSX files to CSV or TSV is that formulas and specific spreadsheet formatting are flattened into plain text data. The process ensures clean data migration but does not preserve dynamic formulas in flat text outputs.