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AaronZhou-THU
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excel-writer

Create styled Excel workbooks from Python data using openpyxl.

Updated Mar 11, 2026
Search Tags:#reports#dashboards#charts#python#openpyxl#excel#data-analysis
One-click install
npx skills add https://github.com/AaronZhou-THU/OpenAgent --skill excel-writer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: excel-writer
Source: https://github.com/AaronZhou-THU/OpenAgent/tree/main/agent-api/src/agent_service/data/skills/excel-writer
Command: npx skills add https://github.com/AaronZhou-THU/OpenAgent --skill excel-writer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create professional Excel spreadsheets from data using Python, automating styling, formulas, charts, and layouts to speed up reporting and analysis.

Core Features & Use Cases

  • Styled data tables with consistent headers and formatting.
  • Built-in charting and dashboards to visualize key metrics.
  • Use Case: Generate a monthly KPI dashboard by exporting data to Excel with charts and calculated fields.

Quick Start

Create a workbook, apply predefined styles and add a data table, then save it to an .xlsx file.

Frequently Asked Questions about excel-writer

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

FAQPage Schema
How do I automate Excel report generation from Python data?▼

You can automate Excel report generation by using Python with openpyxl to programmatically create styled workbooks, apply consistent formatting, and insert data tables directly from your datasets.

How do I create styled Excel dashboards with charts using Python?▼

Creating styled Excel dashboards with charts involves using openpyxl in Python to apply reusable styles, generate visual charts from data tables, and configure page layouts for professional reporting.

Does openpyxl support adding formulas and print layouts for data analytics?▼

Yes, openpyxl supports adding formulas and configuring print layouts for data analytics, allowing you to generate formatted Excel workbooks with calculated fields and professional page setups.

Can I apply reusable styles to data tables in Excel using Python?▼

You can apply reusable styles to data tables in Excel by defining consistent headers and formatting rules in Python using openpyxl, ensuring uniform styling across multiple generated reports.

What is the best way to export Python data analysis results to a formatted xlsx file?▼

The best way to export Python data analysis results to a formatted xlsx file is using openpyxl to map data to styled tables, embed charts, and save the output as a polished Excel workbook.

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