xlsx

Create, edit, and analyze Excel spreadsheets with pandas and openpyxl.

31.8k|3.2k|Updated Aug 7, 2025
One-click install
npx skills add https://github.com/iOfficeAI/AionUi --skill xlsx-iofficeai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/iOfficeAI/AionUi/tree/main/skills/xlsx
Command: npx skills add https://github.com/iOfficeAI/AionUi --skill xlsx-iofficeai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates repetitive Excel workflows by enabling creation, editing, and analysis of spreadsheets with formulas and formatting, reducing manual effort and errors.

Core Features & Use Cases

  • Create new spreadsheets with formulas, formatting, and templates
  • Read, analyze, and modify existing workbooks while preserving formulas
  • Generate data-driven reports and visualizations from workbook data
  • Use Case: Suppose you have monthly sales data; automatically generate a dashboard and summary sheet from the raw data

Quick Start

Use the skill to create a new Excel workbook named "sales_dashboard.xlsx" with a data sheet and a formatted summary.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel spreadsheet creation with formulas and formatting?

Automate Excel spreadsheet creation using Python with pandas and openpyxl to build workbooks with formulas, data, and formatting in a single workflow. This eliminates manual entry and reduces errors across .xlsx, .xlsm, and CSV files.

Can I modify existing Excel workbooks while preserving formulas?

Yes, openpyxl preserves formulas when you read, edit, and write Excel files. You can update cell values, add sheets, and modify formatting without breaking existing formula logic or references.

What's the best way to generate reports and dashboards from Excel data?

Use pandas and openpyxl to read raw spreadsheet data, transform it, and write formatted summary sheets and dashboards back to Excel. This automates multi-sheet reporting from a single data source.

Do I need Python to work with Excel automation and data analysis?

Yes, this Skill requires Python with pandas for data manipulation and openpyxl for reading, editing, and writing Excel files. Both libraries handle formula preservation and formatting across Excel workflows.

How can I handle CSV files alongside Excel workbooks in automation?

Pandas integrates seamlessly with openpyxl to read CSV exports, transform data, and write results back to formatted Excel workbooks. This bridges CSV and .xlsx workflows in a single pipeline.

What limitations should I know about when automating Excel with Python?

Formulas are preserved but not recalculated by openpyxl; Excel recalculates on file open. Complex VBA macros and .xlsm-specific features require additional handling. Large datasets benefit from pandas chunking.