One-click install
npx skills add https://github.com/Cam10001110101/claude-skills-base --skill xlsx-cam10001110101
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: xlsx
Source: https://github.com/Cam10001110101/claude-skills-base/tree/main/mnt/skills/public/xlsx
Command: npx skills add https://github.com/Cam10001110101/claude-skills-base --skill xlsx-cam10001110101

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill eliminates the tedious manual work of creating, editing, and analyzing spreadsheets, especially with complex formulas and formatting, saving you hours and reducing errors.

Core Features & Use Cases

  • Comprehensive Spreadsheet Management: Create new Excel files, modify existing ones, and analyze data with full support for formulas, formatting, and data analysis.
  • Mandatory Formula Recalculation: Automatically recalculate all formulas and verify for common errors (e.g., #REF!, #DIV/0!), ensuring data integrity.
  • Use Case: Automatically generate a detailed financial report in Excel, populating it with data, applying industry-standard formatting, and ensuring all formulas are correct and error-free before delivery.

Quick Start

Example: Read, modify, and save an Excel file

import pandas as pd from openpyxl import load_workbook

Read data with pandas for analysis

df = pd.read_excel('input.xlsx') print(df.head())

Load workbook with openpyxl to preserve formulas/formatting

wb = load_workbook('input.xlsx') sheet = wb.active sheet['A1'] = 'Updated Header' # Modify a cell wb.save('output.xlsx')

CRITICAL: Recalculate formulas and check for errors

python recalc.py output.xlsx

Frequently Asked Questions about xlsx

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

FAQPage Schema
How do I automate Excel spreadsheet creation with formulas and formatting?

Automate Excel spreadsheet creation by using openpyxl to build workbooks with formulas and formatting, then apply pandas for data population and recalc.py to verify all formulas calculate correctly without errors like #REF! or #DIV/0!.

Can I modify existing Excel templates while preserving formulas?

Yes, load existing Excel files with openpyxl to edit specific cells and formatting while preserving all formulas intact, then recalculate formulas using recalc.py to ensure accuracy after modifications.

What's the best way to eliminate formula errors in financial spreadsheets?

Use recalc.py to automatically recalculate all formulas and detect common errors, ensuring data integrity and catching issues like circular references or broken cell references before delivering reports.

How do I perform data analysis and visualization on Excel files?

Read Excel data with pandas for analysis and aggregation, use openpyxl to structure results with industry-standard formatting and color coding, then recalculate formulas to validate the final output.

Does this support financial reporting with accurate number formatting?

Yes, it automates financial report generation with industry-standard number formatting, formula verification, and mandatory recalculation to ensure error-free delivery of complex spreadsheets.

What are the limitations when working with Excel automation?

The Skill requires LibreOffice for formula recalculation and strict adherence to template preservation; formula errors must be resolved before recalc.py completes, and hardcoded values must be properly documented.