| name | example-data-processor |
| description | Process CSV data files by cleaning, transforming, and analyzing them. Use this when users need to work with CSV files, clean data, or perform basic data analysis tasks. |
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:
- Read the CSV file
- Clean the data (remove nulls, fix formats)
- Generate statistics
- 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:
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
