xlsx-toolkit

XLSX Toolkit

Create and edit Excel workbooks with openpyxl (MIT licensed).

When to Use

• Generate an .xlsx workbook from data.
• Edit an existing spreadsheet (cells, sheets, formulas, formatting).
• Read values or formulas out of a workbook.
• Add charts or styled/number-formatted cells.

To convert a spreadsheet to Markdown for analysis, use markitdown-converter. Use this skill to author or edit .xlsx files.

Setup

pip install openpyxl

Create a workbook

from openpyxl import Workbook
from openpyxl.styles import Font
from openpyxl.chart import BarChart, Reference

wb = Workbook()
ws = wb.active
ws.title = "Sales"
ws.append(["Product", "Q1", "Q2"])
for cell in ws[1]:
    cell.font = Font(bold=True)
rows = [("Email Course", 19, 34), ("Workflow Kit", 40, 53)]
for r in rows:
    ws.append(r)
ws["D1"] = "Growth"
ws["D2"] = "=C2-B2"          # formula
ws["D3"] = "=C3-B3"
ws.column_dimensions["A"].width = 18

# a second sheet
ws2 = wb.create_sheet("Notes")
ws2["A1"] = "Generated by xlsx-toolkit"

# a chart
chart = BarChart()
data = Reference(ws, min_col=2, max_col=3, min_row=1, max_row=3)
cats = Reference(ws, min_col=1, min_row=2, max_row=3)
chart.add_data(data, titles_from_data=True)
chart.set_categories(cats)
ws.add_chart(chart, "F2")

wb.save("sales.xlsx")

Read

from openpyxl import load_workbook
wb = load_workbook("sales.xlsx", data_only=True)   # data_only -> last-computed values
ws = wb["Sales"]
for row in ws.iter_rows(values_only=True):
    print(row)

Notes & Limits

• data_only=True returns cached values; without it you read the formula text. openpyxl does not evaluate formulas itself — open the file in Excel/ LibreOffice to recalculate.
• Very large workbooks: use read_only=True / write_only=True modes.

Credits

Original skill by Rinu (l3ad3r1) in collaboration with Claude (Anthropic). Powered by openpyxl (MIT) — all credit for the underlying capability belongs to its authors.