excel-spreadsheets

name	excel-spreadsheets
description	Create, modify, and manage Excel spreadsheets.

Excel Spreadsheets

When to Use

Tool	Use When
create_excel_spreadsheet	User asks to create/generate a NEW spreadsheet
modify_excel_spreadsheet	User asks to edit/update an EXISTING spreadsheet
list_my_excel_spreadsheets	User asks what spreadsheets are available
read_excel_spreadsheet	User wants to download or read spreadsheet contents
preview_excel_sheets	Check actual sheet appearance when editing

Workflow

1. Before modifying: call preview_excel_sheets to check current layout.
2. After creation/modification: call preview_excel_sheets to verify.
3. Run tools sequentially (never parallel) to prevent file race conditions.

Professional Formatting

• Font: Arial for all cells unless an existing template specifies otherwise.
• Negative numbers: parentheses format (1,234) — not minus -1,234.
• Currency: $#,##0 format. Specify units in headers (e.g., "Revenue ($mm)").
• Percentages: 0.0% (one decimal place).
• Years: format as text ("2024" not "2,024").
• Zeros: display as "-" using a custom number format.

# Example: professional number formatting
from openpyxl.styles import numbers
ws['B2'].number_format = '$#,##0'          # Currency
ws['C2'].number_format = '0.0%'            # Percentage
ws['D2'].number_format = '#,##0;(#,##0)'   # Negative in parentheses
ws['E2'].number_format = '@'               # Year as text
ws['F2'].number_format = '#,##0;(#,##0);"-"'  # Zeros as dash

Financial Model Color Coding

When building financial models, apply these conventions:

Color	Hex	Usage
Blue text	0000FF	Hardcoded inputs and assumptions
Black text	000000	All formulas and calculations
Green text	008000	Links pulling from other worksheets
Yellow background	FFFF00	Key assumptions needing attention

from openpyxl.styles import Font, PatternFill
ws['B2'].font = Font(name='Arial', color='0000FF')       # Blue: input
ws['B3'].font = Font(name='Arial', color='000000')       # Black: formula
ws['B4'].font = Font(name='Arial', color='008000')       # Green: cross-sheet link
ws['B5'].fill = PatternFill('solid', fgColor='FFFF00')   # Yellow bg: key assumption

Images

from openpyxl.drawing.image import Image
ws.add_image(Image('file.png'), 'E1')

Code Rules

• Workbook is pre-initialized as wb = Workbook(), active sheet as ws = wb.active (create), or loaded as wb (modify). Do NOT include Workbook() or wb.save().
• Available libraries: openpyxl, matplotlib, pandas, numpy (seaborn NOT available)
• ALWAYS use Excel formulas, NEVER hardcode calculated values.
  • Wrong: ws['B10'] = total
  • Right: ws['B10'] = '=SUM(B2:B9)'
• Place assumptions in separate cells, reference them in formulas (e.g., =B5*(1+$B$6) not =B5*1.05).
• Avoid circular references.
• Filenames: letters, numbers, hyphens only.

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Tool Reference

create_excel_spreadsheet

Create a new Excel spreadsheet using openpyxl code.

Parameter	Type	Required	Description
python_code	str	Yes	Python code using openpyxl (see Code Rules above)
spreadsheet_name	str	Yes	Filename without extension (letters, numbers, hyphens only)

Example tool_input:

{
  "python_code": "ws.title = 'Sales'\nws['A1'] = 'Quarter'\nws['B1'] = 'Revenue'\nfor i, (q, r) in enumerate(zip(['Q1','Q2','Q3','Q4'], [100,150,130,180]), start=2):\n    ws[f'A{i}'] = q\n    ws[f'B{i}'] = r",
  "spreadsheet_name": "quarterly-sales"
}

WARNING: Parameter is spreadsheet_name, NOT filename or name.

modify_excel_spreadsheet

Modify an existing spreadsheet and save with a new name.

Parameter	Type	Required	Description
source_name	str	Yes	Existing spreadsheet name (without .xlsx)
output_name	str	Yes	New output name (MUST differ from source)
python_code	str	Yes	Python code to modify the spreadsheet

Example tool_input:

{
  "source_name": "quarterly-sales",
  "output_name": "quarterly-sales-v2",
  "python_code": "ws = wb.active\nws['B6'] = '=SUM(B2:B5)'"
}

list_my_excel_spreadsheets

List all spreadsheets in workspace. No parameters needed.

read_excel_spreadsheet

Retrieve a specific spreadsheet for download.

Parameter	Type	Required
spreadsheet_name	str	Yes

preview_excel_sheets

Get sheet screenshots for visual inspection before editing.

Parameter	Type	Required	Description
spreadsheet_name	str	Yes	Spreadsheet name without extension
sheet_names	list[str]	Yes	Sheet names to preview (empty list [] for all sheets)

UI Guidance (from tools-config)

Sequential Execution Required: Run modification tools sequentially, never in parallel (prevents race conditions on S3 file read/write).

When to Use:

• create_excel_spreadsheet: User asks to create/generate a NEW Excel spreadsheet
• modify_excel_spreadsheet: User asks to edit/modify/update an EXISTING spreadsheet
• list_my_excel_spreadsheets: User asks what spreadsheets are available
• read_excel_spreadsheet: User wants to download or read spreadsheet contents
• preview_excel_sheets: Check actual sheet appearance when editing

Before Modifying: Always use preview_excel_sheets first to see the current layout.

CRITICAL — Formulas, Not Hardcoded Values:

• ALWAYS use Excel formulas. NEVER calculate in Python and hardcode the result.
• Wrong: ws['B10'] = total. Right: ws['B10'] = '=SUM(B2:B9)'
• Place assumptions in separate cells, reference them in formulas (e.g., =B5*(1+$B$6) not =B5*1.05)
• Formulas are auto-recalculated via LibreOffice after save.
• Avoid circular references.

Professional Formatting:

• Font: Arial for all cells unless existing template specifies otherwise
• Negative numbers: parentheses format (1,234) not minus -1,234
• Currency: $#,##0 format; specify units in headers ("Revenue ($mm)")
• Percentages: 0.0% (one decimal)
• Years: format as text ("2024" not "2,024")
• Zeros: display as "-" using custom number format

Financial Model Color Coding (when applicable):

• Blue text (0,0,255): Hardcoded inputs and assumptions
• Black text (0,0,0): All formulas and calculations
• Green text (0,128,0): Links pulling from other worksheets
• Yellow background (255,255,0): Key assumptions needing attention

Filenames: Letters, numbers, hyphens only (e.g., "Q4-sales.xlsx")

Available Libraries: openpyxl, matplotlib, pandas, numpy (seaborn NOT available)

Images: from openpyxl.drawing.image import Image; ws.add_image(Image('file.png'), 'E1')

QA: Always use preview_excel_sheets after creation to verify appearance.