chore(conductor): Add new track 'Comprehensive Conductor & MMA GUI UX'

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# Track Specification: Comprehensive Conductor & MMA GUI UX
## Overview
This track aims to implement a comprehensive, high-density, and tactile GUI for controlling all aspects of the Conductor orchestration and the 4-Tier Hierarchical Multi-Model Architecture (MMA). The focus is on providing the user with explicit, granular control over the entire lifecycle of a track, from initialization to task execution, with a "Manual First" philosophy.
## Goals
1. **Conductor Lifecycle Management:** Implement UI components for `/conductor:setup`, `/conductor:newTrack`, and a robust Track Browser.
2. **MMA Orchestration Dashboard:** Create a multi-viewport modular system for monitoring and managing the 4-Tier hierarchy.
3. **Task DAG Management:** Implement an interactive DAG visualizer that allows the user to reorder, insert, and delete tasks/tickets incrementally.
4. **Tier-Specific Discussion History:** Provide dedicated visual panels for each tier agent's (Orchestrator, Tech Lead, Worker, QA) discussion history and streaming output.
5. **Manual Execution Control:** Ensure every event, task transition, and sub-agent spawn requires manual user acceptance by default, with opt-in automation.
6. **Metrics & Observability:** Integrate real-time telemetry, token usage, and cost tracking for each tier and track.
## Functional Requirements
- **Track Browser:** A central hub for viewing, selecting, and managing implementation tracks.
- **Interactive Task DAG:** A node-based UI (using Dear PyGui) for visualizing task dependencies. Users can manually manipulate the graph (reorder, add, remove nodes).
- **Tier History Panels:** Separate viewing modes for the logs/discussions of each tier agent.
- **Execution Clutch:** A global toggle for "Step Mode" vs. "Auto-Queue", with the default being manual step-through.
- **Spawn Interceptor:** An improved modal for reviewing and editing worker prompts/context before they are dispatched.
- **Observability Widgets:** High-density monitors for FPS, CPU, and API metrics (latency, token burn, cost).
## Non-Functional Requirements
- **Arcade Aesthetics:** Use blinking notifications, visceral color-coded feedback (Ready, Running, Blocked, Done), and high-contrast visuals (USA Graphics style).
- **Asynchronous Responsibility:** The UI must remain responsive during multi-model generation using the `AsyncEventQueue`.
- **Modular Layout:** Support for docking, floating, and rearranging all Conductor/MMA windows.
## Acceptance Criteria
- Users can initialize and manage tracks entirely through the GUI.
- The Task DAG accurately reflects the state of the active track and allows manual editing.
- Each tier agent's history is viewable in a dedicated panel.
- The "Manual Acceptance" flow is enforced for all MMA actions by default.
- API metrics and telemetry are visible and update in real-time.
## Out of Scope
- Automated "Auto-Fix" loops without user intervention.
- Remote management via web browser (staying local GUI for now).