xlsx

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

1|Updated Aug 27, 2025
One-click install
npx skills add https://github.com/bmadigan/ask-my-doc --skill xlsx-bmadigan
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/bmadigan/ask-my-doc/tree/main/.claude/skills/xlsx
Command: npx skills add https://github.com/bmadigan/ask-my-doc --skill xlsx-bmadigan

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Creating and maintaining Excel workbooks manually is error-prone and time-consuming. This Skill automates common tasks such as workbook creation, editing, applying formulas, formatting, and generating charts, helping users produce consistent, analysis-ready spreadsheets quickly.

Core Features & Use Cases

  • Programmatic workbook creation and modification (.xlsx) using Python libraries like openpyxl and pandas.
  • Formula insertion, formatting, and styling to ensure readability and accuracy.
  • Data analysis workflows and basic-to-advanced charts for dashboards and reporting.
  • Use Case: A data analyst generates a quarterly revenue workbook by ingesting data, computing KPIs with formulas, and exporting to Excel for stakeholders.

Quick Start

Install Python dependencies (openpyxl, pandas) and run a small script to create a sample workbook with headers, formulas, and a chart. Then open the resulting file in Excel to review results.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel workbook creation and editing with Python?

Automating Excel workbook creation and editing uses Python libraries like openpyxl and pandas to programmatically generate, modify, and format .xlsx files. This approach ensures consistent, analysis-ready spreadsheets while reducing manual data entry errors.

Can I insert formulas and apply formatting to .xlsx files programmatically?

Yes, you can insert formulas and apply formatting to .xlsx files programmatically using openpyxl. This allows you to compute KPIs dynamically and style cells for readability, ensuring professional reporting and accurate data modeling directly through Python scripts.

What is the best way to generate Excel charts for data analysis reporting?

Generating Excel charts for data analysis reporting is best handled by using Python libraries like openpyxl to visualize workbook data. You can create basic-to-advanced charts directly within .xlsx files, enabling reproducible dashboards and automated stakeholder reporting.

Does openpyxl support building reproducible data analysis workflows in Excel?

Yes, openpyxl supports building reproducible data analysis workflows in Excel by allowing Python scripts to ingest data, compute KPIs with formulas, and apply consistent formatting. This generates analysis-ready workbooks and professional models without manual spreadsheet manipulation.

What are the limitations of using openpyxl for Excel automation?

Limitations of using openpyxl for Excel automation include potential constraints with highly complex, pre-existing spreadsheet models or advanced macro support. For basic workbook creation, formula insertion, and chart generation, it reliably produces reproducible .xlsx files.