claude-skills-generator

```python
# File: claude_skills/claude_skill_project_name.py
import logging
from typing import Optional
import click
from pathlib import Path

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)


def process_data(input_path: Path, output_path: Path, batch_size: int = 100) -> dict:
    """
    Process data from input_path and write results to output_path.
    
    Args:
        input_path: Path to input CSV file
        output_path: Path to save processed JSON results
        batch_size: Number of rows to process at once
    
    Returns:
        Dictionary with processing statistics
    
    Raises:
        FileNotFoundError: If input file doesn't exist
        ValueError: If batch_size is invalid
    """
    if not input_path.exists():
        raise FileNotFoundError(f"Input file not found: {input_path}")
    
    if batch_size <= 0:
        raise ValueError("batch_size must be positive")
    
    results = {"processed": 0, "errors": 0, "skipped": []}
    
    try:
        with input_path.open('r') as f:
            # Mock processing - replace with actual logic
            for i, line in enumerate(f):
                if i % batch_size == 0:
                    logger.info(f"Processing batch {i//batch_size + 1}")
                
                # Simulate processing
                if "error" in line.lower():
                    results["errors"] += 1
                    results["skipped"].append(i)
                else:
                    results["processed"] += 1
        
        # Save mock results
        output_path.write_text(str(results))
        logger.info(f"Processing complete. Results saved to {output_path}")
        
    except Exception as e:
        logger.error(f"Processing failed: {str(e)}")
        raise
    
    return results


@click.command()
@click.argument('input_path', type=click.Path(exists=True))
@click.argument('output_path', type=click.Path())
@click.option('--batch-size', default=100, help='Number of rows to process at once')
def main(input_path: str, output_path: str, batch_size: int):
    """CLI interface for data processing skill."""
    try:
        stats = process_data(
            input_path=Path(input_path),
            output_path=Path(output_path),
            batch_size=batch_size
        )
        click.echo(f"Processing complete. Stats: {stats}")
    except Exception as e:
        click.echo(f"Error: {str(e)}", err=True)
        raise SystemExit(1)


if __name__ == '__main__':
    main()
```

```markdown
# README Snippet

## Usage

```bash
# Basic usage
claude_skill_project_name.py data/input.csv results/output.json

# With custom batch size
claude_skill_project_name.py data/input.csv results/output.json --batch-size 200
```

## Mock Data Example
Input file contains:
```csv
id,name,status
1,Alice,active
2,Bob,error
3,Charlie,active
4,David,error
```

Expected output:
```json
{"processed": 2, "errors": 2, "skipped": [1, 3]}
```