feat: Add neural loop automation - templates, auto-trainer, CLI

Closes the neural training loop with automated workflow:
- atomizer.py: One-command neural workflow CLI
- auto_trainer.py: Auto-training trigger system (50pt threshold)
- template_loader.py: Study creation from templates
- study_reset.py: Study reset/cleanup utility
- 3 templates: beam stiffness, bracket stress, frequency tuning
- State assessment document (Nov 25)

Usage: python atomizer.py neural-optimize --study my_study --trials 500

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

studies/uav_arm_optimization/1_setup/optimization_config.json

@@ -124,5 +124,13 @@
     "generate_plots": true,
     "save_incremental": true,
     "llm_summary": false
+  },
+
+  "training_data_export": {
+    "enabled": true,
+    "export_dir": "atomizer_field_training_data/uav_arm_optimization",
+    "export_every_n_trials": 1,
+    "include_mesh": true,
+    "compress": false
   }
 }