xlsx

Create, edit, and validate Excel workbooks as XLSX files.

Updated May 15, 2026
One-click install
npx skills add https://github.com/nachopalmeri/agents-system --skill xlsx-nachopalmeri
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/nachopalmeri/agents-system/tree/main/.agents/skills/xlsx
Command: npx skills add https://github.com/nachopalmeri/agents-system --skill xlsx-nachopalmeri

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill streamlines creating, editing, and validating Excel workbooks, reducing manual data handling and errors in XLSX-related tasks.

Core Features & Use Cases

  • Open, read, and modify .xlsx/.xlsm/.csv/.tsv files, including formatting, column changes, and formula updates.
  • Generate new spreadsheets from raw data sources and validate against structural and content rules to ensure consistency.
  • Use cases include data cleaning for large datasets, preparing reproducible reports, and exporting polished spreadsheets for stakeholders.

Quick Start

Create a new workbook from your data source and export it as an XLSX 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 creation and data cleaning from raw sources?

You can automate Excel workbook creation and data cleaning by using scripts to read raw data, apply validation rules, and export polished XLSX files. This skill handles formatting, column changes, and formula updates end-to-end.

Can I update formulas and recalculate them when editing XLSX files programmatically?

Yes, you can update formulas and recalculate them when editing XLSX files programmatically. The skill uses LibreOffice-based formula recalculation via scripts to ensure full recalculation of workbook values.

What is the best way to validate spreadsheet data against structural rules?

The best way to validate spreadsheet data against structural rules is to apply automated checks during workbook creation or editing. This skill validates your data against content rules to ensure consistency across large datasets.

Does this Excel automation approach support CSV and TSV files alongside XLSX?

Yes, this Excel automation approach supports CSV and TSV files alongside XLSX. You can open, read, and modify .xlsx, .xlsm, .csv, and .tsv files, including formatting and column changes, within the same workflow.

Do I need pandas and openpyxl to modify spreadsheets and generate reports?

Yes, you need pandas and openpyxl to modify spreadsheets and generate reports. These dependencies are required for data manipulation, while defusedxml and lxml handle XML validation for the workbook files.