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skills/data.transform/README.md

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+# data.transform
+
+Transform data between different formats (JSON, YAML, XML, CSV) with validation and error handling
+
+## Overview
+
+**Purpose:** Transform data between different formats (JSON, YAML, XML, CSV) with validation and error handling
+
+**Command:** `/data/transform`
+
+## Usage
+
+### Basic Usage
+
+```bash
+python3 skills/data/transform/data_transform.py
+```
+
+### With Arguments
+
+```bash
+python3 skills/data/transform/data_transform.py \
+  --input_file_path "value" \
+  --source_format "value" \
+  --target_format "value" \
+  --schema_path_(optional) "value" \
+  --output-format json
+```
+
+## Inputs
+
+- **input_file_path**
+- **source_format**
+- **target_format**
+- **schema_path (optional)**
+
+## Outputs
+
+- **transformed_file**
+- **transformation_report.json**
+
+## Artifact Metadata
+
+### Produces
+
+- `transformed-data`
+- `transformation-report`
+
+## Permissions
+
+- `filesystem:read`
+- `filesystem:write`
+
+## Implementation Notes
+
+Support transformations between: - JSON ↔ YAML - JSON ↔ XML - JSON ↔ CSV - YAML ↔ XML - XML ↔ CSV Features: - Validate input against schema before transformation - Preserve data types during conversion - Handle nested structures appropriately - Report data loss warnings (e.g., CSV can't represent nesting) - Support custom transformation rules - Provide detailed error messages Output report should include: - Transformation success status - Source and target formats - Data validation results - Warnings about potential data loss - Transformation time and file sizes
+
+## Integration
+
+This skill can be used in agents by including it in `skills_available`:
+
+```yaml
+name: my.agent
+skills_available:
+  - data.transform
+```
+
+## Testing
+
+Run tests with:
+
+```bash
+pytest skills/data/transform/test_data_transform.py -v
+```
+
+## Created By
+
+This skill was generated by **meta.skill**, the skill creator meta-agent.
+
+---
+
+*Part of the Betty Framework*

skills/data.transform/__init__.py

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+# Auto-generated package initializer for skills.

skills/data.transform/data_transform.py

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+#!/usr/bin/env python3
+"""
+data.transform - Transform data between different formats (JSON, YAML, XML, CSV) with validation and error handling
+
+Generated by meta.skill
+"""
+
+import os
+import sys
+import json
+import yaml
+from pathlib import Path
+from typing import Dict, List, Any, Optional
+
+
+from betty.config import BASE_DIR
+from betty.logging_utils import setup_logger
+
+logger = setup_logger(__name__)
+
+
+class DataTransform:
+    """
+    Transform data between different formats (JSON, YAML, XML, CSV) with validation and error handling
+    """
+
+    def __init__(self, base_dir: str = BASE_DIR):
+        """Initialize skill"""
+        self.base_dir = Path(base_dir)
+
+    def execute(self, input_file_path: Optional[str] = None, source_format: Optional[str] = None, target_format: Optional[str] = None, schema_path_optional: Optional[str] = None) -> Dict[str, Any]:
+        """
+        Execute the skill
+
+        Returns:
+            Dict with execution results
+        """
+        try:
+            logger.info("Executing data.transform...")
+
+            # TODO: Implement skill logic here
+
+            # Implementation notes:
+            # Support transformations between: - JSON ↔ YAML - JSON ↔ XML - JSON ↔ CSV - YAML ↔ XML - XML ↔ CSV Features: - Validate input against schema before transformation - Preserve data types during conversion - Handle nested structures appropriately - Report data loss warnings (e.g., CSV can't represent nesting) - Support custom transformation rules - Provide detailed error messages Output report should include: - Transformation success status - Source and target formats - Data validation results - Warnings about potential data loss - Transformation time and file sizes
+
+            # Placeholder implementation
+            result = {
+                "ok": True,
+                "status": "success",
+                "message": "Skill executed successfully"
+            }
+
+            logger.info("Skill completed successfully")
+            return result
+
+        except Exception as e:
+            logger.error(f"Error executing skill: {e}")
+            return {
+                "ok": False,
+                "status": "failed",
+                "error": str(e)
+            }
+
+
+def main():
+    """CLI entry point"""
+    import argparse
+
+    parser = argparse.ArgumentParser(
+        description="Transform data between different formats (JSON, YAML, XML, CSV) with validation and error handling"
+    )
+
+    parser.add_argument(
+        "--input-file-path",
+        help="input_file_path"
+    )
+    parser.add_argument(
+        "--source-format",
+        help="source_format"
+    )
+    parser.add_argument(
+        "--target-format",
+        help="target_format"
+    )
+    parser.add_argument(
+        "--schema-path-optional",
+        help="schema_path (optional)"
+    )
+    parser.add_argument(
+        "--output-format",
+        choices=["json", "yaml"],
+        default="json",
+        help="Output format"
+    )
+
+    args = parser.parse_args()
+
+    # Create skill instance
+    skill = DataTransform()
+
+    # Execute skill
+    result = skill.execute(
+        input_file_path=args.input_file_path,
+        source_format=args.source_format,
+        target_format=args.target_format,
+        schema_path_optional=args.schema_path_optional,
+    )
+
+    # Output result
+    if args.output_format == "json":
+        print(json.dumps(result, indent=2))
+    else:
+        print(yaml.dump(result, default_flow_style=False))
+
+    # Exit with appropriate code
+    sys.exit(0 if result.get("ok") else 1)
+
+
+if __name__ == "__main__":
+    main()

skills/data.transform/skill.yaml

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+name: data.transform
+version: 0.1.0
+description: Transform data between different formats (JSON, YAML, XML, CSV) with
+  validation and error handling
+inputs:
+- input_file_path
+- source_format
+- target_format
+- schema_path (optional)
+outputs:
+- transformed_file
+- transformation_report.json
+status: active
+permissions:
+- filesystem:read
+- filesystem:write
+entrypoints:
+- command: /data/transform
+  handler: data_transform.py
+  runtime: python
+  description: Transform data between different formats (JSON, YAML, XML, CSV) with
+    validation and error handling
+artifact_metadata:
+  produces:
+  - type: transformed-data
+  - type: transformation-report

skills/data.transform/test_data_transform.py

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+#!/usr/bin/env python3
+"""
+Tests for data.transform
+
+Generated by meta.skill
+"""
+
+import pytest
+import sys
+import os
+from pathlib import Path
+
+# Add parent directory to path
+sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "../..")))
+
+from skills.data_transform import data_transform
+
+
+class TestDataTransform:
+    """Tests for DataTransform"""
+
+    def setup_method(self):
+        """Setup test fixtures"""
+        self.skill = data_transform.DataTransform()
+
+    def test_initialization(self):
+        """Test skill initializes correctly"""
+        assert self.skill is not None
+        assert self.skill.base_dir is not None
+
+    def test_execute_basic(self):
+        """Test basic execution"""
+        result = self.skill.execute()
+
+        assert result is not None
+        assert "ok" in result
+        assert "status" in result
+
+    def test_execute_success(self):
+        """Test successful execution"""
+        result = self.skill.execute()
+
+        assert result["ok"] is True
+        assert result["status"] == "success"
+
+    # TODO: Add more specific tests based on skill functionality
+
+
+def test_cli_help(capsys):
+    """Test CLI help message"""
+    sys.argv = ["data_transform.py", "--help"]
+
+    with pytest.raises(SystemExit) as exc_info:
+        data_transform.main()
+
+    assert exc_info.value.code == 0
+    captured = capsys.readouterr()
+    assert "Transform data between different formats (JSON, YA" in captured.out
+
+
+if __name__ == "__main__":
+    pytest.main([__file__, "-v"])