xlsx

Process, edit, and convert xlsx, xlsm, csv, and tsv spreadsheet files.

12|4|Updated Jun 21, 2026

Search Tags:#automation #formulas #spreadsheet #xlsx #data-cleaning #data-conversion

Ready to run

npx skills add https://github.com/eccstartup/grok_skills_bundle --skill xlsx-eccstartup

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/eccstartup/grok_skills_bundle/tree/main/xlsx
Command: npx skills add https://github.com/eccstartup/grok_skills_bundle --skill xlsx-eccstartup

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Efficiently manage spreadsheet workflows by automating common tasks on input and output files such as .xlsx, .xlsm, .csv, and .tsv.

Core Features & Use Cases

Open, read, clean, and restructure tabular data while preserving existing templates.
Format, compute formulas, generate charts, and convert between spreadsheet formats when a file is referenced by name or path.
Use Case: Given a messy CSV of monthly sales, automatically clean headers, reorder columns, and export to a polished .xlsx report.

Quick Start

Transform the provided spreadsheet into a cleaned, formatted Excel workbook with computed totals.

Frequently Asked Questions about xlsx

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

FAQPage Schema

How do I automate spreadsheet cleaning and format conversion for CSV files?▼

Spreadsheet cleaning and format conversion are automated by processing input files like .csv or .tsv, restructuring tabular data, and exporting a polished .xlsx workbook with accurate formulas and preserved templates.

Can I convert a messy CSV to a formatted Excel workbook with computed totals?▼

Yes, converting a messy CSV to a formatted Excel workbook is supported by automatically cleaning headers, reordering columns, computing explicit formulas, and recalculating totals for the final xlsx output.

Does openpyxl support preserving existing Excel templates during automated data processing?▼

Preserving existing Excel templates during automated data processing is supported by leveraging openpyxl to open, read, and edit tabular data while maintaining the original template structure and enforcing error-free formulas.

What is the best way to ensure error-free formulas when generating Excel reports from TSV data?▼

Ensuring error-free formulas when generating Excel reports from TSV data is handled by applying explicit Excel formulas, separating inputs and assumptions, and enforcing formula recalculation throughout the spreadsheet workflow.

What spreadsheet file formats can I use as inputs for automated data conversion?▼

Supported spreadsheet file formats for automated data conversion inputs include .xlsx, .xlsm, .csv, and .tsv, which are processed to generate formatted spreadsheet outputs with accurate formulas and charts.

Are there limitations when using Python scripts to restructure tabular data in xlsm files?▼

Limitations when using Python scripts to restructure tabular data in xlsm files depend on the openpyxl and lxml dependencies, which handle standard spreadsheet automation but may not support highly complex macro executions.