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excel

Read, write, edit, and analyze Excel files using pandas.

3|Updated Jul 9, 2026
Search Tags:#data analysis#pandas#excel#data manipulation#formula calculation
One-click install
npx skills add https://github.com/jixu-ai/metisai --skill excel-jixu-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: excel
Source: https://github.com/jixu-ai/metisai/tree/main/skills/excel
Command: npx skills add https://github.com/jixu-ai/metisai --skill excel-jixu-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines Excel file operations and advanced data analysis, empowering users to process and analyze data quickly and accurately.

Core Features & Use Cases

  • Excel File Operations: Read, create, edit, and analyze Excel files.
  • Formula Recalculation: Perform formula recalculations with a pure Python engine.
  • Data Analysis: Perform data清洗、数据转换、数据透视、统计分析。
  • Use Case: Imagine you have a large dataset in an Excel file. Use this Skill to calculate the summary statistics, perform data transformation, create charts, and generate reports.

Quick Start

Run the excel skill to calculate the summary statistics of the data in 'sales.xlsx'.

Frequently Asked Questions about excel

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

FAQPage Schema
How do I perform data analysis on Excel files using pandas?▼

Data analysis on Excel files using pandas involves reading the spreadsheet into a DataFrame, performing data cleaning, transformation, and pivot operations, then writing the results back to an Excel file. This Skill automates that workflow using pandas and openpyxl.

Can I recalculate Excel formulas in Python without opening the file?▼

Yes, you can recalculate Excel formulas in Python without opening the application. This Skill uses a pure Python engine to process formula calculations directly within the xlsx files.

Does this approach support reading large Excel files in different formats like xlsb?▼

Yes, this approach supports reading large Excel files in various formats. It utilizes optional dependencies like xlrd and pyxlsb to handle legacy and binary xlsb files seamlessly alongside standard xlsx.

What is the best way to clean and transform Excel data for summary statistics?▼

The best way to clean and transform Excel data for summary statistics is using pandas for data manipulation. This Skill handles data cleaning, transformation, and statistical analysis directly on Excel datasets.

How do I generate reports and create charts from Excel data programmatically?▼

To generate reports and create charts from Excel data programmatically, you can use pandas for data aggregation and xlsxwriter for output formatting. This Skill combines these libraries to automate report generation from Excel datasets.

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