Can I apply conditional formatting to my Excel sheets?

Yes, the skill provides patterns for using openpyxl to apply styles, fonts, and conditional fills based on cell values programmatically.

What Python libraries are required to use this skill?

This skill primarily utilizes pandas for data manipulation, openpyxl for Excel formatting, and matplotlib for generating visual charts and graphs.

Can this skill handle large Excel files?

Yes, it includes performance optimization tips such as using the chunksize parameter and specific column loading to process large datasets efficiently without exhausting memory.

Does it support older .xls files?

Yes, the skill includes guidance for using engines like xlrd to read legacy Excel formats alongside modern .xlsx files.

Excel Analysis

Name: Excel Analysis
Author: Activer007

byActiver007

Data Science & ML

Analyzes, cleans, and visualizes Excel spreadsheet data using Python libraries like pandas and openpyxl.

About

Excel Analysis is a specialized Claude Code skill designed to streamline data processing workflows involving .xlsx and .xls files. It empowers Claude to handle complex spreadsheet tasks programmatically, including multi-sheet processing, pivot table generation, advanced data cleaning, and visual chart creation. Whether you are merging disparate sales reports, applying conditional formatting to financial statements, or performing statistical analysis, this skill provides the patterns and best practices needed to turn raw data into actionable insights using robust Python-based implementations.

Key Features

Seamless multi-sheet reading and merging of disparate Excel files
Data visualization and chart generation using matplotlib integration
Programmatic creation of pivot tables and aggregate reports
Automated data cleaning and type conversion for messy spreadsheets
Advanced workbook formatting with custom styles and conditional logic
0 GitHub stars

Use Cases

Automating monthly financial reporting and multi-sheet consolidation
Generating visual dashboards and charts directly from spreadsheet sources
Cleaning and preparing messy raw data for CRM or database imports

About

Key Features

Seamless multi-sheet reading and merging of disparate Excel files
Data visualization and chart generation using matplotlib integration
Programmatic creation of pivot tables and aggregate reports
Automated data cleaning and type conversion for messy spreadsheets
Advanced workbook formatting with custom styles and conditional logic
0 GitHub stars

Use Cases

Automating monthly financial reporting and multi-sheet consolidation
Generating visual dashboards and charts directly from spreadsheet sources
Cleaning and preparing messy raw data for CRM or database imports