Example Data Processor

Example Data Processor

This skill demonstrates a complete skill structure with scripts, references, and proper documentation.

What This Skill Does

Processes CSV data files with these capabilities:

• Clean and validate data
• Transform columns
• Generate summary statistics
• Export results

Usage

Process a CSV file

To process a CSV file:

Process the data in myfile.csv

The skill will:

1. Read the CSV file
2. Clean the data (remove nulls, fix formats)
3. Generate statistics
4. Output a summary report

Custom Processing

For custom processing options:

Process sales.csv and group by region

Scripts

scripts/process_csv.py - Main data processing script

• Reads CSV files
• Applies transformations
• Generates output

scripts/fetch_data.py - API data fetcher (demonstrates uv dependencies)

• Fetches data from APIs using requests
• Beautiful output formatting with rich
• Auto-installs dependencies via uv inline metadata (PEP 723)
• No manual pip install needed!

scripts/validate.py - Data validation script

• Checks data quality
• Reports issues

Configuration

The scripts use these environment variables:

• OUTPUT_DIR - Where to save processed files (optional)
• MAX_ROWS - Maximum rows to process (optional)

Set them using:

Set OUTPUT_DIR to /path/to/output

Reference Documentation

For detailed information:

• Data Formats - Supported data formats and schemas
• Examples - Common usage examples

Troubleshooting

"File not found" error:

• Ensure the CSV file exists
• Provide the full path to the file

"Invalid data" error:

• Check the CSV format matches expected schema
• See Data Formats for requirements