feat(mma): Implement Deep AST-Driven Context Pruning and mark track complete

src/mma_prompts.py

@@ -88,12 +88,14 @@ CONSTRAINTS:
 OUTPUT REQUIREMENT:
 Return a JSON array of 'Tickets' in Godot ECS Flat List format. 
 Include 'depends_on' pointers to construct an execution DAG (Directed Acyclic Graph).
+Include 'target_symbols' (list of strings) to specify which functions or classes should be extracted if using a targeted context view.
 [
   {
     "id": "ticket_id",
     "type": "Ticket",
     "goal": "Surgical implementation task",
     "target_file": "path/to/file",
+    "target_symbols": ["function_name", "ClassName.method_name"],
     "depends_on": ["other_ticket_id"],
     "context_requirements": ["list_of_needed_skeletons"]
   },