skills/read-csv/SKILL.md
Parse CSV files into structured JSON with delimiter auto-detection, header handling, common encoding support, and streaming reads for large files.
npx skillsauth add hasna/skills read-csvInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Parse CSV files from disk and return structured JSON that is easy to inspect, transform, or hand to another tool.
auto, true, and false modesutf8, utf16le, utf16be, latin1, win1252)# Parse a CSV with auto-detected headers and delimiter
read-csv --input ./customers.csv
# Force tab-delimited parsing and save output
read-csv --input ./report.tsv --delimiter tab --output ./report.json
# Parse with explicit header handling
read-csv --input ./raw.csv --headers false
# Preview the first 100 rows only
read-csv --input ./large.csv --limit 100
| Option | Description | Default |
|--------|-------------|---------|
| -i, --input <path> | CSV file to parse | required |
| -d, --delimiter <value> | Delimiter (comma, tab, semicolon, pipe, or literal character) | auto |
| -e, --encoding <value> | Input encoding (auto, utf8, utf16le, utf16be, latin1, win1252) | auto |
| --headers <mode> | Header mode: auto, true, false | auto |
| -l, --limit <n> | Stop after parsing n rows | unlimited |
| -o, --output <path> | Save JSON result to a file | stdout |
| --help | Show usage | |
| --version | Show version | |
{
"input": "/absolute/path/to/file.csv",
"encoding": "utf8",
"delimiter": ",",
"hasHeader": true,
"columns": ["id", "email", "plan"],
"rowCount": 2,
"truncated": false,
"rows": [
{ "id": "1", "email": "[email protected]", "plan": "pro" }
]
}
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