adjustments

.gemini/skills/mma-orchestrator/SKILL.md

@@ -44,6 +44,7 @@ When creating tracks (`activate_skill mma-tier1-orchestrator`), follow this prot
 6. **MAP DEPENDENCIES**: State execution order and blockers between tracks.
 
 ## 1. The Tier 3 Worker (Execution)
+
 When performing code modifications or implementing specific requirements:
 1. **Pre-Delegation Checkpoint:** For dangerous or non-trivial changes, ALWAYS stage your changes (`git add .`) or commit before delegating to a Tier 3 Worker. If the worker fails or runs `git restore`, you will lose all prior AI iterations for that file if it wasn't staged/committed.
 2. **Code Style Enforcement:** You MUST explicitly remind the worker to "use exactly 1-space indentation for Python code" in your prompt to prevent them from breaking the established codebase style.
@@ -55,6 +56,7 @@ When performing code modifications or implementing specific requirements:
 7. The Tier 3 Worker is stateless and has tool access for file I/O.
 
 ## 2. The Tier 4 QA Agent (Diagnostics)
+
 If you run a test or command that fails with a significant error or large traceback:
 1. **DO NOT** analyze the raw logs in your own context window.
 2. **DO** spawn a stateless Tier 4 agent to diagnose the failure.
@@ -62,9 +64,11 @@ If you run a test or command that fails with a significant error or large traceb
 4. **Mandatory Research-First Protocol:** Avoid direct `read_file` calls for any file over 50 lines. Use `get_file_summary`, `py_get_skeleton`, or `py_get_code_outline` first to identify relevant sections. Use `git diff` to understand changes.
 
 ## 3. Persistent Tech Lead Memory (Tier 2)
+
 Unlike the stateless sub-agents (Tiers 3 & 4), the **Tier 2 Tech Lead** maintains persistent context throughout the implementation of a track. Do NOT apply "Context Amnesia" to your own session during track implementation. You are responsible for the continuity of the technical strategy.
 
 ## 4. AST Skeleton & Outline Views
+
 To minimize context bloat for Tier 2 & 3:
 1. Use `py_get_code_outline` or `get_tree` to map out the structure of a file or project.
 2. Use `py_get_skeleton` and `py_get_imports` to understand the interface, docstrings, and dependencies of modules.
@@ -75,6 +79,7 @@ To minimize context bloat for Tier 2 & 3:
 7. Tier 3 workers MUST NOT read the full content of unrelated files.
 
 ## 5. Cross-Skill Activation
+
 When your current role requires capabilities from another tier, use `activate_skill`:
 - **Track creation/refinement**: `activate_skill mma-tier1-orchestrator` — applies the Surgical Spec Protocol
 - **Track execution**: `activate_skill mma-tier2-tech-lead` — applies persistent context and TDD workflow
@@ -93,6 +98,7 @@ When your current role requires capabilities from another tier, use `activate_sk
 ```
 
 ### Example 2: Spawning a Tier 3 Worker with Surgical Prompt
+
 **User:** Please implement the cost tracking column in the token usage table.
 **Agent (You):**
 ```json
@@ -103,6 +109,7 @@ When your current role requires capabilities from another tier, use `activate_sk
 ```
 
 ### Example 3: Creating a Track with Audit
+
 **User:** Create a track for adding dark mode support.
 **Agent (You):**
 1. First, audit the codebase: `py_get_code_outline gui_2.py` → find `_render_theme_panel` (lines 2993-3030).

.gemini/skills/mma-tier1-orchestrator/SKILL.md

@@ -8,9 +8,11 @@ description: Focused on product alignment, high-level planning, and track initia
 You are the Tier 1 Orchestrator. Your role is to oversee the product direction and manage project/track initialization within the Conductor framework.
 
 ## Primary Context Documents
+
 Read at session start: `conductor/product.md`, `conductor/product-guidelines.md`
 
 ## Architecture Fallback
+
 When planning tracks that touch core systems, consult:
 - `docs/guide_architecture.md`: Threading, events, AI client, HITL, frame-sync action catalog
 - `docs/guide_tools.md`: MCP Bridge, Hook API endpoints, ApiHookClient methods
@@ -18,12 +20,14 @@ When planning tracks that touch core systems, consult:
 - `docs/guide_simulations.md`: live_gui fixture, Puppeteer pattern, mock provider
 
 ## Responsibilities
+
 - Maintain alignment with the product guidelines and definition.
 - Define track boundaries and initialize new tracks (`/conductor:newTrack`).
 - Set up the project environment (`/conductor:setup`).
 - Delegate track execution to the Tier 2 Tech Lead.
 
 ## Surgical Spec Protocol (MANDATORY)
+
 When creating or refining tracks, you MUST:
 1. **Audit** the codebase with `get_code_outline`, `py_get_definition`, `grep_search` before writing any spec. Document what exists with file:line refs.
 2. **Spec gaps, not features** — frame requirements relative to what already exists.
@@ -35,6 +39,7 @@ When creating or refining tracks, you MUST:
 See `activate_skill mma-orchestrator` for the full protocol and examples.
 
 ## Limitations
+
 - Do not execute tracks or implement features.
 - Do not write code or perform low-level bug fixing.
 - Keep context strictly focused on product definitions and high-level strategy.

.gemini/skills/mma-tier2-tech-lead/SKILL.md

@@ -8,6 +8,7 @@ description: Focused on track execution, architectural design, and implementatio
 You are the Tier 2 Tech Lead. Your role is to manage the implementation of tracks (`/conductor:implement`), ensure architectural integrity, and oversee the work of Tier 3 and 4 sub-agents.
 
 ## Architecture Fallback
+
 When implementing tracks, consult these docs for threading, data flow, and module interactions:
 - `docs/guide_architecture.md`: Thread domains, `_process_pending_gui_tasks` action catalog, AI client architecture, HITL blocking flow
 - `docs/guide_tools.md`: MCP tools, Hook API endpoints, session logging
@@ -15,6 +16,7 @@ When implementing tracks, consult these docs for threading, data flow, and modul
 - `docs/guide_simulations.md`: Testing patterns, mock provider
 
 ## Responsibilities
+
 - Manage the execution of implementation tracks.
 - Ensure alignment with `tech-stack.md` and project architecture.
 - Break down tasks into specific technical steps for Tier 3 Workers.
@@ -24,10 +26,12 @@ When implementing tracks, consult these docs for threading, data flow, and modul
 - **Meta-Level Sanity Check**: After completing a track (or upon explicit request), perform a codebase sanity check. Run `uv run ruff check .` and `uv run mypy --explicit-package-bases .` to ensure Tier 3 Workers haven't degraded static analysis constraints. Identify broken simulation tests and append them to a tech debt track or fix them immediately.
 
 ## Anti-Entropy Protocol
+
 - **State Auditing**: Before adding new state variables to a class, you MUST use `py_get_code_outline` or `py_get_definition` on the target class's `__init__` method (and any relevant configuration loading methods) to check for existing, unused, or duplicate state variables. DO NOT create redundant state if an existing variable can be repurposed or extended.
 - **TDD Enforcement**: You MUST ensure that failing tests (the "Red" phase) are written and executed successfully BEFORE delegating implementation tasks to Tier 3 Workers. Do NOT accept an implementation from a worker if you haven't first verified the failure of the corresponding test case.
 
 ## Surgical Delegation Protocol
+
 When delegating to Tier 3 workers, construct prompts that specify:
 - **WHERE**: Exact file and line range to modify
 - **WHAT**: The specific change (add function, modify dict, extend table)
@@ -37,6 +41,7 @@ When delegating to Tier 3 workers, construct prompts that specify:
 Example prompt: `"In gui_2.py, modify _render_mma_dashboard (lines 2685-2699). Extend the token usage table from 3 to 5 columns by adding 'Model' and 'Est. Cost'. Use imgui.table_setup_column(). Import cost_tracker. Use 1-space indentation."`
 
 ## Limitations
+
 - Do not perform heavy implementation work directly; delegate to Tier 3.
 - Delegate implementation tasks to Tier 3 Workers using `uv run python scripts/mma_exec.py --role tier3-worker "[PROMPT]"`.
 - For error analysis of large logs, use `uv run python scripts/mma_exec.py --role tier4-qa "[PROMPT]"`.

conductor/workflow.md

@@ -364,7 +364,7 @@ To emulate the 4-Tier MMA Architecture within the standard Conductor extension w
 
 ### 1. Active Model Switching (Simulating the 4 Tiers)
 
-- **Mandatory Skill Activation:** As the very first step of any MMA-driven process, including track initialization and implementation phases, the agent MUST activate the `mma-orchestrator` skill (`activate_skill mma-orchestrator`). This is crucial for enforcing the 4-Tier token firewall.
+- **Mandatory Skill Activation:** As the very first step of any MMA-driven process, including track initialization and implementation phases, the agent MUST activate the `mma-orchestrator` skill (`activate_skill mma-orchestrator`) and their corresponding role's specific tier skill. This is crucial for enforcing the 4-Tier token firewall.
 - **The MMA Bridge (`mma_exec.py`):** All tiered delegation is routed through `uv python scripts/mma_exec.py`. This script acts as the primary bridge, managing model selection, context injection, and logging.
 - **Model Tiers:**
     - **Tier 1 (Strategic/Orchestration):** `gemini-3.1-pro-preview`. Focused on product alignment, setup (`/conductor:setup`), and track initialization (`/conductor:newTrack`).