name: csv-url-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
CSV URL 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 Ruby to process CSV files. Run the processing script:
ruby scripts/process_csv.rb [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 URI parsing
- 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
- Ruby with standard libraries (CSV, URI, CGI)
- 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
Related skills
Prompt Engineering
Data & AI
Prompt engineering best practices and templates to maximize AI outputs.
claudeCursorWindsurf+1beginner
289
78
629
Data Visualization
Data & AI
Generates data visualizations and charts tailored to your data.
claudeCursorWindsurfintermediate
198
56
490
RAG Architecture Setup
Data & AI
Setup guide for RAG (Retrieval-Augmented Generation) architectures.
claudeCursorWindsurfadvanced
167
51
434