
Excel Creation Fallback
Use shell_agent as fallback when execute_code_sandbox fails for Excel file operations
Install
npx skills add HKUDS/AgentPilot --skill excel-creation-fallback -g -a claude-code -y- Repository
- HKUDS/AgentPilot7.8k
- Category
- Documents
- Updated
- 3d ago
- License
- MIT
- Context cost
- Lightabout 886 tokens
- Runs scripts
- No, instructions only
What it does
Use shell_agent as fallback when execute_code_sandbox fails for Excel file operations
Excel File Creation Fallback
When execute_code_sandbox fails for openpyxl or Excel operations, delegate to shell_agent which can autonomously handle dependency and environment issues.
When to Use
execute_code_sandboxfails with import errors for openpyxl or related libraries- The sandbox environment lacks required dependencies
- You need to create or modify Excel files with complex requirements
- Repeated sandbox execution failures for file I/O operations
Steps
Step 1: Attempt with execute_code_sandbox first
Try creating the Excel file using Python's openpyxl library in the code sandbox:
from openpyxl import Workbook
wb = Workbook()
ws = wb.active
ws.append(['Column1', 'Column2', 'Column3'])
wb.save('output.xlsx')
Step 2: If it fails, switch to shell_agent
Delegate the task to shell_agent with a clear, comprehensive task description:
Create an Excel file named 'output.xlsx' with the following structure:
- Sheet 1: Data with columns [Date, Metric, Value]
- Include sample data rows with realistic values
- Apply basic formatting (bold headers, cell borders)
- Add a summary section with totals or averages
- Save the file in the current directory
Step 3: Let shell_agent handle the environment
The shell_agent will:
- Decide whether to use Python or Bash
- Install dependencies if needed (e.g.,
pip install openpyxl) - Write and execute the code
- Automatically retry and fix errors (up to several rounds)
- Confirm the file was created successfully
Example Task Descriptions
Basic Excel file:
Create an Excel file named 'sales_report.xlsx' with headers: Date, Product, Quantity, Price, Total. Add 10 sample rows of data and a formula column for Total (Quantity * Price).


