Initial commit

skills/test.example/test_example.py

@@ -0,0 +1,107 @@
+#!/usr/bin/env python3
+"""
+test.example - A simple test skill for validating the meta.create orchestrator workflow
+
+Generated by meta.skill with Betty Framework certification
+"""
+
+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
+from betty.certification import certified_skill
+
+logger = setup_logger(__name__)
+
+
+class TestExample:
+    """
+    A simple test skill for validating the meta.create orchestrator workflow
+    """
+
+    def __init__(self, base_dir: str = BASE_DIR):
+        """Initialize skill"""
+        self.base_dir = Path(base_dir)
+
+    @certified_skill("test.example")
+    def execute(self, input_data_string___test_input_data: Optional[str] = None) -> Dict[str, Any]:
+        """
+        Execute the skill
+
+        Returns:
+            Dict with execution results
+        """
+        try:
+            logger.info("Executing test.example...")
+
+            # TODO: Implement skill logic here
+
+            # Implementation notes:
+            # This is a minimal test skill to verify that meta.create can properly orchestrate the creation of skills, check for duplicates, and validate compatibility.
+
+            # 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="A simple test skill for validating the meta.create orchestrator workflow"
+    )
+
+    parser.add_argument(
+        "--input-data-string---test-input-data",
+        help="input_data (string) - Test input data"
+    )
+    parser.add_argument(
+        "--output-format",
+        choices=["json", "yaml"],
+        default="json",
+        help="Output format"
+    )
+
+    args = parser.parse_args()
+
+    # Create skill instance
+    skill = TestExample()
+
+    # Execute skill
+    result = skill.execute(
+        input_data_string___test_input_data=args.input_data_string___test_input_data,
+    )
+
+    # 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()