Implement core skills: Code validation, model fine-tuning, and system diagnostics

- Added `ModelFineTuner` class for preparing training data and fine-tuning models based on user corrections.
- Introduced `CodeValidator` class to validate generated code against various hardware and style rules, including safety checks and function naming conventions.
- Developed skills for calculator operations, system information retrieval, weather fetching, and timer functionality.
- Implemented a self-diagnostic skill to run unit tests and report results.
- Created a dynamic skill loading mechanism to discover and register skills from the current directory.
- Added unit tests for skills to ensure functionality and reliability.

tests/test_all.py

@@ -0,0 +1,29 @@
+import unittest
+import sys
+import os
+
+def run_suite():
+    """
+    Discover and run all tests in the tests/ directory.
+    """
+    # Get directories
+    tests_dir = os.path.dirname(os.path.abspath(__file__))
+    project_root = os.path.dirname(tests_dir)
+    
+    # Add project root to sys.path to allow imports of 'core', 'skills', etc.
+    if project_root not in sys.path:
+        sys.path.insert(0, project_root)
+        
+    # Discover tests
+    loader = unittest.TestLoader()
+    suite = loader.discover(tests_dir, pattern="test_*.py", top_level_dir=project_root)
+    
+    # Run tests
+    runner = unittest.TextTestRunner(verbosity=2)
+    result = runner.run(suite)
+    
+    return result.wasSuccessful()
+
+if __name__ == "__main__":
+    success = run_suite()
+    sys.exit(0 if success else 1)