
XLSX Manipulation
Create, edit, and manipulate Excel spreadsheets programmatically using openpyxl
Install
npx skills add claude-office-skills/skills --skill xlsx-manipulation -g -a claude-code -y- Repository
- claude-office-skills/skills556
- Category
- Documents
- Updated
- 9mo ago
- License
- MIT
- Context cost
- Mediumabout 2,502 tokens
- Runs scripts
- No, instructions only
What it does
Create, edit, and manipulate Excel spreadsheets programmatically using openpyxl
XLSX Manipulation Skill
Overview
This skill enables programmatic creation, editing, and manipulation of Microsoft Excel (.xlsx) spreadsheets using the openpyxl library. Create professional spreadsheets with formulas, formatting, charts, and data validation without manual editing.
How to Use
- Describe the spreadsheet you want to create or modify
- Provide data, formulas, or formatting requirements
- I'll generate openpyxl code and execute it
Example prompts:
- "Create a budget spreadsheet with monthly tracking"
- "Add conditional formatting to highlight values above threshold"
- "Generate a pivot-table-like summary from this data"
- "Create a dashboard with charts and KPIs"
Domain Knowledge
openpyxl Fundamentals
from openpyxl import Workbook, load_workbook
from openpyxl.styles import Font, Fill, Border, Alignment
from openpyxl.chart import BarChart, Reference
# Create new workbook
wb = Workbook()
ws = wb.active
# Or open existing
wb = load_workbook('existing.xlsx')
ws = wb.active
Workbook Structure
Workbook
├── worksheets (sheets/tabs)
│ ├── cells (data storage)
│ ├── rows/columns (formatting)
│ ├── merged_cells
│ └── charts
├── defined_names (named ranges)
└── styles (formatting templates)
Working with Cells
Basic Cell Operations
# By cell reference
ws['A1'] = 'Header'
ws['B1'] = 42
# By row, column
ws.cell(row=1, column=3, value='Data')
# Multiple cells
ws['A1:C1'] = [['Col1', 'Col2', 'Col3']]
# Append rows
ws.append(['Row', 'Data', 'Here'])
Reading Cells
# Single cell
value = ws['A1'].value
# Cell range
for row in ws['A1:C3']:
for cell in row:
print(cell.value)
# Iterate rows
for row in ws.iter_rows(min_row=1, max_row=10, min_col=1, max_col=3):
for cell in row:
print(cell.value)
Formulas
# Basic formulas
ws['D1'] = '=SUM(A1:C1)'
ws['D2'] = '=AVERAGE(A2:C2)'
ws['E1'] = '=IF(D1>100,"High","Low")'


