excel-generator

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

2|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/kvm9-dev/susanoo --skill excel-generator-kvm9-dev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: excel-generator
Source: https://github.com/kvm9-dev/susanoo/tree/main/.local/secondary_skills/excel-generator
Command: npx skills add https://github.com/kvm9-dev/susanoo --skill excel-generator-kvm9-dev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the hassle of manually building Excel spreadsheets by generating ready-to-use .xlsx files with consistent formatting, formulas, charts, and validation.

Core Features & Use Cases

  • Professional .xlsx generation: Create sheets from scratch with styling, number formats, column sizing, and freeze panes.
  • Formula and chart support: Insert Excel formulas (computed when opened) and add charts based on cell ranges.
  • Data validation: Add dropdowns and constraints to reduce input errors.
  • Use Case: Build a sales report for a small dataset where revenue is computed from units and price, includes conditional formatting (data bars), and provides an “Status” dropdown for filtering.

Quick Start

Ask the AI to generate an Excel workbook called output.xlsx with a “Sales” sheet that includes styled headers, revenue formulas, conditional formatting, a data validation dropdown, and a bar chart of revenue by product.

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 using Python?

You generate an Excel spreadsheet by using Python libraries like openpyxl or xlsxwriter to create .xlsx files with formatting, formulas stored as strings, and charts based on worksheet ranges. Formulas are computed when the file opens.

Can I add data validation dropdowns to an xlsx file generated with Python?

Yes, you can add data validation dropdowns and constraints to your xlsx files generated with Python. This feature reduces input errors by restricting cell entries to predefined options directly within the generated spreadsheet.

Does openpyxl support conditional formatting and styled headers for spreadsheet generation?

Yes, openpyxl supports generating spreadsheets with styled headers, conditional formatting like data bars, number formats, column sizing, and freeze panes. It allows you to create professional reports directly from your Python data.

What is the best way to automate Excel report creation from a Python dataset?

The best way to automate Excel report creation is generating .xlsx files programmatically with Python. You can define revenue formulas, apply conditional formatting, insert charts, and add validation rules without manual spreadsheet building.

Why are my Python-generated Excel formulas not evaluating until the file is opened?

Your Python-generated Excel formulas are not evaluating because they are stored as strings and are not evaluated by Python itself. The formulas compute natively only when the spreadsheet is opened in an Excel application.

Do I need openpyxl or xlsxwriter installed to generate Excel files with this approach?

Yes, you need either openpyxl or xlsxwriter installed to generate Excel files. These Python libraries provide the underlying functionality required to write formatting, formulas, charts, and data validation to .xlsx files.