excel-processor

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Read, write, analyze, and format Excel spreadsheets (.xlsx). Use when the user needs to create Excel files, extract data from spreadsheets, apply formulas, format cells, or generate Excel reports from data. Supports multiple sheets, charts, and conditional formatting.

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Excel Processor

Read, write, analyze, and format Excel spreadsheets (.xlsx) using Python.

When to use this skill

User asks to create an Excel spreadsheet
User wants to read or extract data from an .xlsx file
User needs to add formulas, formatting, or charts to a spreadsheet
User wants to convert CSV/JSON data into a formatted Excel file
User needs Excel report generation with multiple sheets

Scripts overview

Script	Purpose	Dependencies
`excel_tool.py`	Read, write, format, and analyze Excel files	`openpyxl`

Steps

1. Install dependencies (first time only)

pip install openpyxl

CRITICAL — Dependency Error Recovery: If the script fails with an ImportError, install the missing dependency using the command above, then re-run the EXACT SAME script command that failed.

2. Read an Excel file

python scripts/excel_tool.py read "INPUT.xlsx"

Options:

--sheet SHEET_NAME — Read a specific sheet (default: active sheet)
--format json — Output as JSON instead of table
--format csv — Output as CSV
--save OUTPUT_PATH — Save output to file

3. Create a new Excel file from CSV

python scripts/excel_tool.py create "OUTPUT.xlsx" --from-csv "DATA.csv"

Options:

--from-csv PATH — Import data from CSV file
--from-json PATH — Import data from JSON file
--sheet SHEET_NAME — Set the sheet name (default: Sheet1)
--title TITLE — Add a title row with merged cells
--auto-width — Auto-adjust column widths to fit content
--header-style — Apply bold + colored header row

4. Add a sheet to existing workbook

python scripts/excel_tool.py add-sheet "EXISTING.xlsx" --sheet "NewSheet" --from-csv "DATA.csv"

5. Apply formatting

python scripts/excel_tool.py format "FILE.xlsx" --auto-width --header-style --freeze-header

Options:

--auto-width — Auto-fit column widths
--header-style — Bold white text on blue background for header
--freeze-header — Freeze the first row
--number-format COLS FORMAT — Apply number format (e.g., --number-format "C,D" "#,##0.00")

6. Analyze / summarize

python scripts/excel_tool.py analyze "FILE.xlsx"

Shows: sheet names, row/column counts, column types, basic stats for numeric columns.

7. Add formulas

python scripts/excel_tool.py formula "FILE.xlsx" --cell "E2" --formula "=SUM(B2:D2)"
python scripts/excel_tool.py formula "FILE.xlsx" --column "E" --formula "=SUM(B{row}:D{row})" --start-row 2 --end-row 100

Common workflows

CSV to formatted Excel report

excel_tool.py create "report.xlsx" --from-csv "data.csv" --title "Monthly Report" --auto-width --header-style --freeze-header

Multi-sheet workbook

excel_tool.py create "workbook.xlsx" --from-csv "sales.csv" --sheet "Sales"
excel_tool.py add-sheet "workbook.xlsx" --sheet "Expenses" --from-csv "expenses.csv"

Quick data inspection

excel_tool.py analyze "data.xlsx" — overview
excel_tool.py read "data.xlsx" --sheet "Sheet1" — view contents

Edge cases

Large files (100MB+): openpyxl loads into memory. Use --read-only mode for very large files.
Formulas: When reading, formulas show the formula text, not computed values (unless cached).
Macros (.xlsm): Not supported. Use .xlsx format only.
Password-protected files: Not supported by openpyxl.
Date formats: Dates are auto-detected. Use explicit format if ambiguous.

Scripts

excel_tool.py — Read, write, format, and analyze Excel files