feed-mob/url-parameter-parser
skills/url-parameter-parser/SKILL.md
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.
$ install --global
skillsauthnpx skillsauth add feed-mob/agent-skills url-parameter-parserInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Last scanned: May 16, 2026, 3:12 AM339.3s4 files scanned
SKILL.md
- 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
- Identify CSV files: Look for CSV files in the current directory or specified path
- Analyze URL column: Find the column containing URLs (looks for 'url' or 'URL' headers)
- Extract parameters: Parse all query parameters from URLs
- Create new columns: Add parameter names as new column headers
- Process data: Fill new columns with parameter values (multiple values joined with '|')
- 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
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