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xlsx

Create, edit, and analyze spreadsheet files using pandas and openpyxl.

Updated Feb 16, 2026
Search Tags:#formatting#data analysis#pandas#formulas#spreadsheet#excel#data cleaning
One-click install
npx skills add https://github.com/aselimc/agents_and_skills --skill xlsx-aselimc
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/aselimc/agents_and_skills/tree/main/.claude/skills/xlsx
Command: npx skills add https://github.com/aselimc/agents_and_skills --skill xlsx-aselimc

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the creation, editing, and analysis of spreadsheet files, eliminating manual errors and saving significant time on data manipulation tasks.

Core Features & Use Cases

  • Formula Creation & Management: Automatically generates and validates Excel formulas, ensuring accuracy and preventing errors like #REF! or #DIV/0!.
  • Data Analysis & Formatting: Leverages pandas for data manipulation and openpyxl for formatting, adhering to industry-standard color coding and number formatting rules.
  • File Conversion & Cleaning: Handles messy tabular data, converts between formats, and ensures professional output quality.
  • Use Case: Convert a messy CSV file with inconsistent headers into a clean, well-formatted Excel spreadsheet with correct formulas for financial projections.

Quick Start

Use the xlsx skill to create a new Excel file named 'sales_report.xlsx' with columns for 'Date', 'Product', and 'Revenue'.

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel formula creation and prevent errors like #REF! or #DIV/0!?▼

Automating Excel formula creation requires generating and validating formulas programmatically. This skill automatically creates formulas and validates them to prevent errors like #REF! or #DIV/0!, ensuring calculation accuracy and consistent professional output.

What is the best way to clean messy CSV data and format it into a professional Excel spreadsheet?▼

Cleaning messy CSV data and formatting it into Excel involves standardizing headers and applying consistent formatting. This skill handles inconsistent tabular data, converts it to clean .xlsx files, and applies industry-standard color coding and number formatting for professional results.

Can I use pandas and openpyxl together for data analysis and spreadsheet formatting?▼

Pandas and openpyxl can be used together for spreadsheet data analysis and formatting. This skill leverages pandas for data manipulation and openpyxl for applying formulas, charting, and industry-standard formatting to .xlsx, .xlsm, .csv, and .tsv files.

Does this spreadsheet automation tool require LibreOffice to recalculate formulas?▼

Recalculating formulas in generated spreadsheet files does require LibreOffice. The skill uses a recalculation script to ensure formulas compute correctly, preventing stale values and guaranteeing zero formula errors in the final output.

How do I convert tabular file formats like .csv and .tsv into formatted .xlsx files?▼

Converting .csv and .tsv formats into .xlsx files requires parsing tabular data and applying spreadsheet formatting. This skill converts between tabular file formats, adds computed formulas, and ensures professional output with consistent fonts and financial color coding.

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