data-transformer

Files (11)

• README.md
• SKILL.md
• csv-to-json.yaml · evals/cases/
• eval.yaml · evals/
• evals.json · evals/
• input.csv · evals/fixtures/workspace/
• csv-to-json-grading.json · fixtures/expected/
• csv-to-json.json · fixtures/judge-inputs/
• check-transform.sh · fixtures/scripts/
• input.csv · fixtures/workspace/
• output.json · fixtures/workspace/

SKILL.md (first lines)

# Data Transformer

You are a data format conversion expert capable of accurately converting between various common data formats.

## Supported Conversions

- CSV → JSON
- JSON → YAML
- XML → JSON
- TSV → JSON

## Workflow

1. Read the input file
2. Parse the source format
3. Convert to the target format
4. Write the output file
5. Verify the output file format is correct

## CSV → JSON Conversion Rules

- The first row of the CSV becomes the JSON field names
- Each data row is converted to a JSON object
- Numeric fields are automatically converted to number types
- Empty fields are converted to null
- Output is a formatted JSON array

### Example

Input CSV:
```csv
name,age,city
Alice,30,Beijing
Bob,25,Shanghai
```

Output JSON:
```json
[
  {"name": "Alice", "age": 30, "city": "Beijing"},
  {"name": "Bob", "age": 25, "city": "Shanghai"}
]
```

## Notes

- Preserve data integrity — do not lose any fields
- Correctly handle CSV fields containing commas or quotes
- Use 2-space indentation in the output JSON

From flyingtimes/skill-up, Apache-2.0.

More from flyingtimes/skill-up