Excel Automation Workflows

What This Does

This workflow enables advanced Excel automation using xlwings - a library that can interact with live Excel instances. Unlike openpyxl (file-only), xlwings can control Excel in real-time, execute VBA, update dashboards, and automate complex workflows.

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Quick Start

Step 1: Create a Project Folder

mkdir -p ~/Documents/ExcelAutomation

Step 2: Download the Template

Click Download above, then:

mv ~/Downloads/CLAUDE.md ~/Documents/ExcelAutomation/

Step 3: Start Working

cd ~/Documents/ExcelAutomation
claude

---

How to Use

1. Describe the Excel automation task you need
2. Specify if you need live Excel interaction or file processing
3. I'll generate xlwings code and execute it

Example prompts:

• "Update this live Excel dashboard with new data"
• "Run this VBA macro and get the results"
• "Create an Excel add-in for data validation"
• "Automate monthly report generation with live charts"

Best Practices

1. Disable Screen Updating: For batch operations
2. Use Arrays: Read/write entire ranges, not cell-by-cell
3. Manual Calculation: Turn off auto-calc during data loading
4. Close Connections: Properly close workbooks when done
5. Error Handling: Handle Excel not being installed

Examples

Example 1: Live Dashboard Update

import xlwings as xw
import pandas as pd
from datetime import datetime

# Connect to running Excel
wb = xw.books.active
dashboard = wb.sheets['Dashboard']
data_sheet = wb.sheets['Data']

# Fetch new data (simulated)
new_data = pd.DataFrame({
    'Date': pd.date_range('2024-01-01', periods=30),
    'Sales': [1000 + i*50 for i in range(30)],
    'Costs': [600 + i*30 for i in range(30)]
})

# Update data sheet
data_sheet['A1'].value = new_data

# Calculate profit
data_sheet['D1'].value = 'Profit'
data_sheet['D2'].value = '=B2-C2'
data_sheet['D2'].expand('down').value = data_sheet['D2'].formula

# Update KPIs on dashboard
dashboard['B2'].value = new_data['Sales'].sum()
dashboard['B3'].value = new_data['Costs'].sum()
dashboard['B4'].value = new_data['Sales'].sum() - new_data['Costs'].sum()
dashboard['A1'].value = f'Updated: {datetime.now().strftime("%Y-%m-%d %H:%M")}'

# Refresh charts
for chart in dashboard.charts:
    chart.api.Refresh()

print("Dashboard updated!")

Example 2: Batch Processing Multiple Files

import xlwings as xw
from pathlib import Path

def process_sales_files(folder_path, output_path):
    """Consolidate multiple Excel files into one summary."""
    
    app = xw.App(visible=False)
    app.screen_updating = False
    
    try:
        # Create summary workbook
        summary_wb = xw.Book()
        summary_sheet = summary_wb.sheets[0]
        summary_sheet.name = 'Consolidated'
        
        headers = ['File', 'Total Sales', 'Total Units', 'Avg Price']
        summary_sheet['A1'].value = headers
        
        row = 2
        for file in Path(folder_path).glob('*.xlsx'):
            wb = app.books.open(str(file))
            data_sheet = wb.sheets['Sales']
            
            # Extract summary
            total_sales = data_sheet['B:B'].api.SpecialCells(11).Value  # xlCellTypeConstants
            total_units = data_sheet['C:C'].api.SpecialCells(11).Value
            
            # Calculate and write
            summary_sheet[f'A{row}'].value = file.name
            summary_sheet[f'B{row}'].value = sum(total_sales) if isinstance(total_sales, (list, tuple)) else total_sales
            summary_sheet[f'C{row}'].value = sum(total_units) if isinstance(total_units, (list, tuple)) else total_units
            summary_sheet[f'D{row}'].value = f'=B{row}/C{row}'
            
            wb.close()
            row += 1
        
        # Format summary
        summary_sheet['A1:D1'].font.bold = True
        summary_sheet['B:D'].number_format = '$#,##0.00'
        summary_sheet['A:D'].autofit()
        
        summary_wb.save(output_path)
        
    finally:
        app.quit()
    
    print(f"Consolidated {row-2} files to {output_path}")

# Usage
process_sales_files('/path/to/sales/', 'consolidated_sales.xlsx')

Example 3: Excel Add-in with UDFs

Limitations

• Requires Excel to be installed
• Limited support on macOS for some features
• Not suitable for server-side processing
• VBA features require trust settings
• Performance varies with Excel version

Installation

pip install xlwings

# For add-in functionality
xlwings addin install