url-parameter-parser

name	url-parameter-parser
description	Parse URLs in CSV files and extract query parameters as new columns. Use when working with CSV files containing URLs that need parameter extraction and analysis.
allowed-tools	Read, Write, Bash, Glob

URL Parameter Parser

This skill extracts query parameters from URLs in CSV files and adds them as new columns.

Instructions

1. Identify CSV files: Look for CSV files in the current directory or specified path
2. Analyze URL column: Find the column containing URLs (looks for 'url' or 'URL' headers)
3. Extract parameters: Parse all query parameters from URLs
4. Create new columns: Add parameter names as new column headers
5. Process data: Fill new columns with parameter values (multiple values joined with '|')
6. Save results: Update the CSV file with new columns

Implementation

The skill uses Python to process CSV files. Run the processing script:

python scripts/process_csv.py [file1.csv file2.csv ...]

If no files are specified, it processes all CSV files in the current directory.

The script will:

• Read CSV files with headers
• Extract query parameters from URLs using urllib.parse
• Handle multiple values for the same parameter (joined with '|')
• Preserve original data while adding new parameter columns
• Handle malformed URLs gracefully

For detailed examples, see EXAMPLES.md.

Usage Examples

Process all CSV files in current directory:

Parse URLs in my CSV files

Process specific CSV file:

Extract URL parameters from data.csv

Analyze URL parameters:

Show me what parameters are in the URLs from this CSV

Requirements

• Python 3.6 or higher with standard libraries (csv, urllib.parse)
• CSV files must have headers
• URL column should be named 'url' or 'URL'

Output

• Original CSV file updated with new parameter columns
• Multiple parameter values separated by '|'
• Preserves all original data
• Handles empty/missing parameters gracefully