Agent skill
xlsx
Working with Excel files programmatically.
Install this agent skill to your Project
npx add-skill https://github.com/bobmatnyc/claude-mpm-skills/tree/main/universal/data/xlsx
SKILL.md
Excel/XLSX Manipulation
Working with Excel files programmatically.
Python (openpyxl)
Reading Excel
from openpyxl import load_workbook
wb = load_workbook('data.xlsx')
ws = wb.active # Get active sheet
# Read cell
value = ws['A1'].value
# Iterate rows
for row in ws.iter_rows(min_row=2, values_only=True):
print(row)
Writing Excel
from openpyxl import Workbook
wb = Workbook()
ws = wb.active
ws.title = "Data"
# Write data
ws['A1'] = 'Name'
ws['B1'] = 'Age'
ws.append(['John', 30])
ws.append(['Jane', 25])
wb.save('output.xlsx')
Formatting
from openpyxl.styles import Font, PatternFill
# Bold header
ws['A1'].font = Font(bold=True)
# Background color
ws['A1'].fill = PatternFill(start_color="FFFF00", fill_type="solid")
# Number format
ws['B2'].number_format = '0.00' # Two decimals
Formulas
# Add formula
ws['C2'] = '=A2+B2'
# Sum column
ws['D10'] = '=SUM(D2:D9)'
Python (pandas)
Reading Excel
import pandas as pd
# Read sheet
df = pd.read_excel('data.xlsx', sheet_name='Sheet1')
# Read multiple sheets
dfs = pd.read_excel('data.xlsx', sheet_name=None)
Writing Excel
# Write DataFrame
df.to_excel('output.xlsx', index=False)
# Multiple sheets
with pd.ExcelWriter('output.xlsx') as writer:
df1.to_excel(writer, sheet_name='Sheet1')
df2.to_excel(writer, sheet_name='Sheet2')
Data Transformation
# Filter
filtered = df[df['Age'] > 25]
# Group by
grouped = df.groupby('Department')['Salary'].mean()
# Pivot
pivot = df.pivot_table(values='Sales', index='Region', columns='Product')
JavaScript (xlsx)
import XLSX from 'xlsx';
// Read file
const workbook = XLSX.readFile('data.xlsx');
const sheetName = workbook.SheetNames[0];
const worksheet = workbook.Sheets[sheetName];
// Convert to JSON
const data = XLSX.utils.sheet_to_json(worksheet);
// Write file
const newWorksheet = XLSX.utils.json_to_sheet(data);
const newWorkbook = XLSX.utils.book_new();
XLSX.utils.book_append_sheet(newWorkbook, newWorksheet, 'Data');
XLSX.writeFile(newWorkbook, 'output.xlsx');
Common Operations
CSV to Excel
import pandas as pd
df = pd.read_csv('data.csv')
df.to_excel('data.xlsx', index=False)
Excel to CSV
df = pd.read_excel('data.xlsx')
df.to_csv('data.csv', index=False)
Merging Excel Files
dfs = []
for file in ['file1.xlsx', 'file2.xlsx', 'file3.xlsx']:
df = pd.read_excel(file)
dfs.append(df)
combined = pd.concat(dfs, ignore_index=True)
combined.to_excel('merged.xlsx', index=False)
Remember
- Close workbooks after use
- Handle large files in chunks
- Validate data before writing
- Use pandas for data analysis, openpyxl for formatting
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