diff --git a/conductor/tech-stack.md b/conductor/tech-stack.md
index af5685d..ec21208 100644
--- a/conductor/tech-stack.md
+++ b/conductor/tech-stack.md
@@ -27,7 +27,7 @@
 
 ## Configuration & Tooling
 
-- **tree-sitter & tree-sitter-python:** For deterministic AST parsing and automated generation of curated "Skeleton Views" (signatures and docstrings) to minimize context bloat for sub-agents.
+- **ast (Standard Library):** For deterministic AST parsing and automated generation of curated "Skeleton Views" (signatures and docstrings) to minimize context bloat for sub-agents.
 - **pydantic / dataclasses:** For defining strict state schemas (Tracks, Tickets) used in linear orchestration.
 - **tomli-w:** For writing TOML configuration files.
 - **tomllib:** For native TOML parsing (Python 3.11+).
diff --git a/multi_agent_conductor.py b/multi_agent_conductor.py
index 5cb186a..ce5e2a8 100644
--- a/multi_agent_conductor.py
+++ b/multi_agent_conductor.py
@@ -1,6 +1,8 @@
 import ai_client
 import json
 import asyncio
+import threading
+import time
 from typing import List, Optional, Tuple
 from dataclasses import asdict
 import events
@@ -146,9 +148,6 @@ def confirm_execution(payload: str, event_queue: events.AsyncEventQueue, ticket_
     """
     Pushes an approval request to the GUI and waits for response.
     """
-    import threading
-    import time
-    import asyncio
     # We use a list container so the GUI can inject the actual Dialog object back to us
     # since the dialog is created in the GUI thread.
     dialog_container = [None]
@@ -187,9 +186,6 @@ def confirm_spawn(role: str, prompt: str, context_md: str, event_queue: events.A
     Pushes a spawn approval request to the GUI and waits for response.
     Returns (approved, modified_prompt, modified_context)
     """
-    import threading
-    import time
-    import asyncio
     
     dialog_container = [None]
     
@@ -238,6 +234,8 @@ def confirm_spawn(role: str, prompt: str, context_md: str, event_queue: events.A
             return approved, modified_prompt, modified_context
 
     return False, prompt, context_md
+
+
 def run_worker_lifecycle(ticket: Ticket, context: WorkerContext, context_files: List[str] = None, event_queue: events.AsyncEventQueue = None, engine: Optional['ConductorEngine'] = None, md_content: str = ""):
     """
     Simulates the lifecycle of a single agent working on a ticket.