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xlsx-analyzer

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

8|Updated Jan 16, 2026
Search Tags:#pandas#openpyxl#formulas#excel#data-analysis#xlsx
One-click install
npx skills add https://github.com/hhhh124hhhh/SkillMate --skill xlsx-analyzer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xlsx-analyzer
Source: https://github.com/hhhh124hhhh/SkillMate/tree/main/resources/skills/xlsx-analyzer
Command: npx skills add https://github.com/hhhh124hhhh/SkillMate --skill xlsx-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the creation, editing, and analysis of Excel workbooks, enabling dynamic formulas, formatting, and visualization without manual, repetitive tasks.

Core Features & Use Cases

  • Create and load workbooks with Python (openpyxl) and analyze data using pandas.
  • Preserve and utilize Excel formulas for automatic recalculation and robust formatting.
  • Use cases include financial reports, data cleansing, and dashboard-ready spreadsheets with charts and summaries.

Quick Start

Install the required Python packages (openpyxl and pandas), then run a starter script that creates or updates an Excel file, applies formulas, and triggers recalculation with recalc.py.

Frequently Asked Questions about xlsx-analyzer

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

FAQPage Schema
How do I automate Excel workbook creation and analysis with pandas and openpyxl?▼

Automate Excel workbook creation and analysis by using pandas for data manipulation and openpyxl for file editing. This combination enables dynamic formula application and robust formatting without manual repetitive tasks.

Can I preserve Excel formulas for automatic recalculation in Python?▼

Yes, you can preserve Excel formulas for automatic recalculation. The skill utilizes a LibreOffice-based recalc.py tool to re-evaluate and trigger formula updates when underlying data sources change.

What is the best way to generate financial reports and dashboards in Excel using Python?▼

Generate financial reports and dashboards in Excel by loading data with pandas and applying formulas via openpyxl. This workflow produces formatted, dashboard-ready spreadsheets with charts and summaries.

Do I need LibreOffice to recalculate Excel formulas when data sources change?▼

Yes, you need LibreOffice to recalculate Excel formulas dynamically. The skill relies on a LibreOffice-based recalc.py tool to re-evaluate formulas automatically when source data changes.

How does pandas handle data cleansing for Excel workflows?▼

Pandas handles data cleansing for Excel workflows by loading workbook data into DataFrames for manipulation. After cleansing, openpyxl writes the refined data back with preserved formulas and formatting.

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