excel-generator

Generate Excel .xlsx files with data, formatting, formulas, charts, and validation.

Updated Mar 12, 2026
One-click install
npx skills add https://github.com/aryankumarrai/VarAI --skill excel-generator-aryankumarrai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: excel-generator
Source: https://github.com/aryankumarrai/VarAI/tree/main/.local/secondary_skills/excel-generator
Command: npx skills add https://github.com/aryankumarrai/VarAI --skill excel-generator-aryankumarrai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, xlsxwriter, xlrd, pandas, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of professional Excel spreadsheets, including data, formatting, formulas, charts, and data validation, eliminating manual spreadsheet creation and ensuring data integrity.

Core Features & Use Cases

  • Data Population: Write data from various sources into Excel sheets.
  • Formatting: Apply styles, number formats, and column widths for readability.
  • Formulas & Calculations: Embed Excel formulas for automatic calculations.
  • Charts & Graphs: Create visual representations of data directly within the spreadsheet.
  • Data Validation: Implement dropdowns and other validation rules to ensure data accuracy.
  • Use Case: Generate a monthly sales report with revenue calculations, product breakdowns visualized in a bar chart, and a dropdown for sales representative names.

Quick Start

Use the excel-generator skill to create a new spreadsheet named 'sales_report.xlsx' with product names, units sold, and revenue, including a total revenue sum formula.

Frequently Asked Questions about excel-generator

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

FAQPage Schema
How do I generate an Excel spreadsheet with formulas and charts from a pandas DataFrame?

To generate an Excel spreadsheet with formulas and charts, you can use this skill to populate data from pandas DataFrames and embed calculations and visual graphs directly into the .xlsx file.

What is the best way to automate creating formatted xlsx reports with data validation?

Automating formatted xlsx reports is done by applying custom styles, number formats, and data validation rules like dropdowns during spreadsheet generation to ensure data accuracy and readability.

Can I use openpyxl and xlsxwriter together to build Excel spreadsheets from scratch?

Yes, the spreadsheet generation process leverages openpyxl and xlsxwriter to create Excel files from scratch, supporting data population, column width adjustments, and dynamic chart creation.

Does this approach support adding data validation rules and dropdowns in Excel files?

Yes, this Excel generation approach supports implementing data validation rules including dropdowns to enforce data accuracy and structured data management within the generated spreadsheets.

How do I embed dynamic charts and custom formatting into an xlsx file for reporting?

You can embed dynamic charts and custom formatting into an xlsx file by applying styles, number formats, and visual data representations directly within the spreadsheet for reporting and analysis.

What limitations exist when using pandas DataFrames to generate Excel spreadsheets?

When using pandas DataFrames for Excel generation, limitations depend on the underlying libraries xlsxwriter and openpyxl, which dictate supported formula types, chart styles, and validation rule complexity.