xlsx

Process and validate Excel-compatible spreadsheet files across .xlsx, .xlsm, .csv, and .tsv formats.

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/nq-rdl/agent-extensions --skill xlsx-nq-rdl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/nq-rdl/agent-extensions/tree/main/skills/xlsx
Command: npx skills add https://github.com/nq-rdl/agent-extensions --skill xlsx-nq-rdl

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates spreadsheet data workflows, enabling reliable opening, reading, editing, and correcting of spreadsheet files across common formats.

Core Features & Use Cases

  • Open, read, edit, and fix existing .xlsx, .xlsm, .csv, and .tsv files; create new spreadsheets from scratch or from other data sources; convert between tabular formats.
  • Clean and restructure messy tabular data to produce clean, analysis-ready workbooks; validate formulas and ensure zero errors during recalculation.
  • Use Case: When you have a messy CSV that must be transformed into a clean Excel workbook with verified formulas and a consistent schema.

Quick Start

Input your spreadsheet file to automatically clean data, validate formulas, and output a validated workbook.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate cleaning and restructuring messy CSV files into Excel workbooks?

To automate cleaning messy CSV files into Excel workbooks, this Skill uses pandas to restructure tabular data and openpyxl to output a validated .xlsx file. It transforms inconsistent schemas into analysis-ready spreadsheets deterministically.

How do I validate Excel formulas and ensure zero errors during recalculation?

To validate Excel formulas and ensure zero errors during recalculation, this Skill enforces data integrity through a deterministic workflow. It requires LibreOffice for formula recalculation, guaranteeing verified formulas across your spreadsheet data.

Can I convert between xlsx, xlsm, csv, and tsv formats automatically?

Yes, you can convert between xlsx, xlsm, csv, and tsv formats automatically. This Skill opens, reads, and edits tabular data across these common formats, enabling seamless conversion and outputting validated spreadsheet files.

Do I need LibreOffice to automate spreadsheet workflows and formula validation?

Yes, you need LibreOffice installed to handle formula recalculation and validation. While the Skill relies on Python 3.11+, pandas, and openpyxl for data processing, LibreOffice specifically powers the spreadsheet formula recalculation engine.

What is the best way to fix existing Excel files with broken schemas and data errors?

The best way to fix existing Excel files with broken schemas is using this Skill's automated cleaning and restructuring workflow. It opens and corrects .xlsx and .xlsm files, enforcing zero formula errors and producing clean, analysis-ready workbooks.

Why does spreadsheet processing fail when converting large CSV files to xlsx?

Spreadsheet processing might fail during CSV to xlsx conversion if Python 3.11+ or required dependencies like defusedxml and lxml are missing. The Skill needs these specific libraries to securely parse and restructure large tabular datasets.