| name | csv-parser |
| description | Parse CSV files into structured records with configurable delimiter and encoding. |
| version | 1.0.0 |
CSV Parser
Skill Summary
Reads CSV files and converts them into a list of dictionaries (records). Supports comma and tab
delimiters, configurable file encoding (defaults to UTF-8), and automatic header detection from
the first row.
Inputs
--input / -i: Path to CSV file (required)--delimiter / -d: Column delimiter: , or \t (default: ,)--encoding / -e: File encoding (default: utf-8)--output / -o: Output directory (required)
Processing Steps
- Open file with specified encoding
- Read header row to determine column names
- Parse each subsequent row into a dict keyed by column names
- Attempt numeric conversion for values that look like numbers
- Write records list to
parsed_data.json
Output
parsed_data.json: JSON array of record objects- Console summary: row count, column names, detected numeric columns
Implementation
- Command:
python3 csv-parser/parser.py -i <file> -d "," -o <output_dir>
- Dependencies: Python standard library (
csv, json, argparse, os)
