Excel Report

Convert CSV files into polished Excel .xlsx reports with the bundled openpyxl script.

Workflow

1. Locate the input CSV file and decide an output .xlsx path. Default to the same basename beside the CSV unless the user specifies otherwise.
2. Use the bundled script:

python3 /home/ubuntu/.openclaw/workspace/skills/excel-report/scripts/csv_to_excel_report.py input.csv output.xlsx

3. Verify the workbook was created. For important outputs, inspect the workbook with openpyxl or run a quick file check.
4. Return the generated .xlsx file path, and attach it with MEDIA:\x3Cpath> when replying in a channel that supports file delivery.

What the script does

• Reads CSV with UTF-8 BOM support and delimiter sniffing.
• Creates an Excel workbook with a Report sheet.
• Styles the header row with a dark blue fill and white bold text.
• Converts numeric-looking cells to numbers and applies thousands separators.
• Adds a bold total row with SUM formulas for numeric columns.
• Adds a simple bar chart for the first numeric column using the first column as categories, limited to the first 10 data rows.
• Adds an Excel table, filters, frozen header row, and autosized columns.

Options

• Omit the output path to create input.xlsx beside the CSV.
• Use --sheet-name "Name" to set the worksheet title.

Dependency

The script requires openpyxl. If it is missing, install it in the active Python environment before running:

python3 -m pip install openpyxl

Do not use pandas for the core conversion unless the user explicitly asks; this skill is designed around openpyxl.