xlsx

name	xlsx
description	Create and edit Excel spreadsheets (.xlsx): multiple sheets, live formulas, professional formatting, and data tables. Use whenever the user asks to build, populate, or modify a spreadsheet/workbook/Excel file.
license	MIT (Code Buddy original skill)
nativeEngine	{"triggers":["excel","xlsx","spreadsheet","workbook","sheet"]}

Create & edit Excel spreadsheets with openpyxl

Build real .xlsx files with the open-source openpyxl library (available as python3 -c "import openpyxl"). Work in visible steps and verify before you report done.

Workflow (one step at a time)

1. Plan the sheet(s), columns, and any formulas/totals.
2. Write a short Python script (a heredoc through the bash tool) that builds the workbook with openpyxl and saves it to the requested path.
3. Verify: reopen with load_workbook(path) and assert the key cells and formulas are present, then print(path).
4. Report the saved path and a one-line summary.

Quality conventions

• Header row: bold, light fill (PatternFill('solid', fgColor='D9EAF7')), thin borders.
• Use formulas, never hardcoded totals: e.g. ws['B5'] = '=SUM(B2:B4)'.
• Number formats: currency '$#,##0;($#,##0);-', percent '0.0%', multiples '0.0x'.
• Financial color convention (optional, for models): blue font (Font(color='0000FF')) for hardcoded inputs, black for formulas, green for cross-sheet links.
• Size column widths to content; ws.freeze_panes = 'A2' to keep headers visible.
• Deliver zero formula errors (#REF!, #DIV/0!, #VALUE!, …).

Example

python3 - <<'PY'
from openpyxl import Workbook, load_workbook
from openpyxl.styles import Font, PatternFill, Border, Side
from openpyxl.utils import get_column_letter

wb = Workbook(); ws = wb.active; ws.title = 'Items'
ws.append(['Item', 'Cost', 'Status'])
for r in [['Actuators', 8000, 'ordered'], ['Compute', 3500, 'done']]:
    ws.append(r)
ws.append(['Total', '=SUM(B2:B3)', ''])

hdr = PatternFill('solid', fgColor='D9EAF7'); thin = Side(style='thin', color='B7B7B7')
for row in ws.iter_rows():
    for c in row:
        c.border = Border(top=thin, bottom=thin, left=thin, right=thin)
for c in ws[1]:
    c.font = Font(bold=True); c.fill = hdr
for r in range(2, 4):
    ws[f'B{r}'].font = Font(color='0000FF'); ws[f'B{r}'].number_format = '$#,##0'
ws['B4'].font = Font(bold=True); ws['B4'].number_format = '$#,##0'
for i in range(1, 4):
    ws.column_dimensions[get_column_letter(i)].width = 16
ws.freeze_panes = 'A2'
wb.save('budget.xlsx')

wb2 = load_workbook('budget.xlsx')
assert wb2['Items']['B4'].value == '=SUM(B2:B3)'
print('budget.xlsx')
PY

Reading / editing existing files

• Read values/formulas: load_workbook(path) (use data_only=True for cached results).
• Edit in place: modify cells/styles and save() back to the same path; preserve the existing layout and formatting conventions rather than imposing new ones.
• For data analysis on large sheets, pandas.read_excel is also available.