docs(skill): rewrite mma-orchestrator SKILL.md for OpenCode Task tool
The mma-orchestrator skill is what the meta-tooling Tier 1/2 agents load. The previous version was entirely built around the deprecated scripts/mma_exec.py / claude_mma_exec.py bridge scripts — every example used 'uv run python scripts/mma_exec.py --role tierN-X ...' which was deprecated 2026-06-27 in favor of the OpenCode Task tool. Rewrote the skill to use the OpenCode Task tool's subagent_type parameter (tier3-worker / tier4-qa / tier1-orchestrator / tier2-tech-lead) as the canonical mechanism, with explicit deprecation notes for mma_exec.py. Also updated: tool count (26 -> 45, now in src/mcp_tool_specs.py); data locations (Ticket/Track/WorkerContext now in src/mma.py; the src/models.py shim note). The 8 mma_exec.py invocation examples in the previous version would have caused Tier 2 Tech Lead agents to literally invoke deprecated scripts. This is the highest-impact drift of the session — the user explicitly said the deprecated invocation was wrong, and this skill is what loaded the wrong pattern into agent context.
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---
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name: mma-orchestrator
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description: Enforces the 4-Tier Hierarchical Multi-Model Architecture (MMA) within Gemini CLI using Token Firewalling and sub-agent task delegation.
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description: Enforces the 4-Tier Hierarchical Multi-Model Architecture (MMA) within the Manual Slop meta-tooling environment using Token Firewalling and sub-agent task delegation via the OpenCode Task tool.
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---
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# MMA Token Firewall & Tiered Delegation Protocol
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You are operating within the MMA Framework, acting as either the **Tier 1 Orchestrator** (for setup/init) or the **Tier 2 Tech Lead** (for execution). Your context window is extremely valuable and must be protected from token bloat (such as raw, repetitive code edits, trial-and-error histories, or massive stack traces).
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To accomplish this, you MUST delegate token-heavy or stateless tasks to **Tier 3 Workers** or **Tier 4 QA Agents** by spawning secondary Gemini CLI instances via `run_shell_command`.
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**CRITICAL Prerequisite:**
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To ensure proper environment handling and logging, you MUST NOT call the `gemini` command directly for sub-tasks. Instead, use the wrapper script:
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`uv run python scripts/mma_exec.py --role <Role> "..."`
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To accomplish this, you MUST delegate token-heavy or stateless tasks to **Tier 3 Workers** or **Tier 4 QA Agents** via the **OpenCode Task tool** (subagent invocation with the `subagent_type` parameter). The canonical mechanism is the OpenCode Task tool; the legacy `scripts/mma_exec.py` / `scripts/claude_mma_exec.py` bridge scripts are **DEPRECATED for meta-tooling sub-agent delegation as of 2026-06-27** (see `conductor/workflow.md` §"Conductor Token Firewalling" + `docs/guide_meta_boundary.md`). The Application-domain WorkerPool at `src/multi_agent_conductor.py:run_worker_lifecycle` uses its own internal subprocess template — that is NOT the meta-tooling mechanism and is also unrelated to the OpenCode Task tool.
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## 0. Architecture Fallback & Surgical Methodology
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**Before creating or refining any track**, consult the deep-dive architecture docs:
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- `docs/guide_architecture.md`: Thread domains, event system (`AsyncEventQueue`, `_pending_gui_tasks` action catalog), AI client multi-provider architecture, HITL Execution Clutch blocking flow, frame-sync mechanism
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- `docs/guide_tools.md`: MCP Bridge 3-layer security model, full 26-tool inventory with params, Hook API GET/POST endpoints with request/response formats, ApiHookClient method reference
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- `docs/guide_mma.md`: Ticket/Track/WorkerContext data structures, DAG engine (cycle detection, topological sort), ConductorEngine execution loop, Tier 2 ticket generation, Tier 3 worker lifecycle with context amnesia
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- `docs/guide_tools.md`: MCP Bridge 3-layer security model, full 45-tool inventory (now in `src/mcp_tool_specs.py`) with params, Hook API GET/POST endpoints with request/response formats, ApiHookClient method reference
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- `docs/guide_mma.md`: Ticket/Track/WorkerContext data structures (now in `src/mma.py`; moved out of `src/models.py`), DAG engine (cycle detection, topological sort), ConductorEngine execution loop, Tier 2 ticket generation, Tier 3 worker lifecycle with context amnesia
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- `docs/guide_simulations.md`: `live_gui` fixture lifecycle, Puppeteer pattern, mock provider JSON-L protocol, visual verification patterns
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### The Surgical Spec Protocol (MANDATORY for track creation)
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When creating tracks (`activate_skill mma-tier1-orchestrator`), follow this protocol:
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1. **AUDIT BEFORE SPECIFYING**: Use `get_code_outline`, `py_get_definition`, `grep_search`, and `get_git_diff` to map what already exists. Previous track specs asked to re-implement existing features (Track Browser, DAG tree, approval dialogs) because no audit was done. Document findings in a "Current State Audit" section with file:line references.
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1. **AUDIT BEFORE SPECIFYING**: Use `py_get_code_outline`, `py_get_definition`, `py_find_usages`, and `get_git_diff` to map what already exists. Previous track specs asked to re-implement existing features (Track Browser, DAG tree, approval dialogs) because no audit was done. Document findings in a "Current State Audit" section with file:line references.
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2. **GAPS, NOT FEATURES**: Frame requirements as what's MISSING relative to what exists.
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- GOOD: "The existing `_render_mma_dashboard` (gui_2.py:2633-2724) has a token usage table but no cost column."
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- GOOD: "The existing `_render_mma_dashboard` (gui_2.py ~line 2633-2724) has a token usage table but no cost column."
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- BAD: "Build a metrics dashboard with token and cost tracking."
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3. **WORKER-READY TASKS**: Each plan task must specify:
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@@ -49,17 +45,16 @@ When performing code modifications or implementing specific requirements:
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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.
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3. **DO NOT** perform large code writes yourself.
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4. **DO** construct a single, highly specific prompt with a clear objective. Include exact file:line references and the specific API calls to use (from your audit or the architecture docs).
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5. **DO** spawn a Tier 3 Worker.
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*Command:* `uv run python scripts/mma_exec.py --role tier3-worker "Implement [SPECIFIC_INSTRUCTION] in [FILE_PATH] at lines [N-M]. Use [SPECIFIC_API_CALL]. Use 1-space indentation."`
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6. **Handling Repeated Failures:** If a Tier 3 Worker fails multiple times on the same task, it may lack the necessary capability. You must track failures and retry with `--failure-count <N>` (e.g., `--failure-count 2`). This tells `mma_exec.py` to escalate the sub-agent to a more powerful reasoning model (like `gemini-3-flash`).
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5. **DO** spawn a Tier 3 Worker via the OpenCode Task tool with `subagent_type: "tier3-worker"` and a surgical prompt specifying WHERE/WHAT/HOW/SAFETY/COMMIT structure. The Task tool invokes the `.opencode/agents/tier3-worker.md` sub-agent prompt which carries the tier-specific operating constraints.
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6. **Handling Repeated Failures:** If a Tier 3 Worker fails multiple times on the same task, it may lack the necessary capability. Re-dispatch with a more capable model tier (e.g., request a higher-capability model in the prompt). The OpenCode Task tool's sub-agent contracts are stateless — failures show up as the returned task result, not as in-band escalation flags.
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7. The Tier 3 Worker is stateless and has tool access for file I/O.
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## 2. The Tier 4 QA Agent (Diagnostics)
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If you run a test or command that fails with a significant error or large traceback:
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1. **DO NOT** analyze the raw logs in your own context window.
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2. **DO** spawn a stateless Tier 4 agent to diagnose the failure.
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3. *Command:* `uv run python scripts/mma_exec.py --role tier4-qa "Analyze this failure and summarize the root cause: [LOG_DATA]"`
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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.
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3. **Spawn via the OpenCode Task tool** with `subagent_type: "tier4-qa"` and a prompt structured as "DO NOT fix — provide root cause analysis only: [LOG_DATA]".
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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 `get_git_diff` to understand changes.
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## 3. Persistent Tech Lead Memory (Tier 2)
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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.
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@@ -78,36 +73,41 @@ To minimize context bloat for Tier 2 & 3:
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When your current role requires capabilities from another tier, use `activate_skill`:
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- **Track creation/refinement**: `activate_skill mma-tier1-orchestrator` — applies the Surgical Spec Protocol
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- **Track execution**: `activate_skill mma-tier2-tech-lead` — applies persistent context and TDD workflow
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- **Quick code task**: Spawn via `mma_exec.py --role tier3-worker` (stateless, no skill activation needed)
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- **Error analysis**: Spawn via `mma_exec.py --role tier4-qa` (stateless, no skill activation needed)
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- **Quick code task**: Spawn via the OpenCode Task tool with `subagent_type: "tier3-worker"` (stateless, no skill activation needed)
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- **Error analysis**: Spawn via the OpenCode Task tool with `subagent_type: "tier4-qa"` (stateless, no skill activation needed)
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<examples>
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### Example 1: Spawning a Tier 4 QA Agent
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**User / System:** `pytest tests/test_gui.py` failed with 400 lines of output.
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**Agent (You):**
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```json
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{
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"command": "python scripts/mma_exec.py --role tier4-qa \"Summarize this stack trace into a 20-word fix: [snip first 30 lines...]\"",
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"description": "Spawning Tier 4 QA to compress error trace statelessly."
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}
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```python
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# OpenCode Task tool invocation (subagent_type="tier4-qa", not a shell command)
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prompt = ("DO NOT fix — provide root cause analysis only. "
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"Summarize this stack trace into a 20-word fix: "
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"<snip first 30 lines of the traceback> "
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"Inputs: [the relevant test + file paths]")
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```
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### Example 2: Spawning a Tier 3 Worker with Surgical Prompt
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**User:** Please implement the cost tracking column in the token usage table.
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**Agent (You):**
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```json
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{
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"command": "python scripts/mma_exec.py --role tier3-worker \"In gui_2.py, modify _render_mma_dashboard (lines 2685-2699). Extend the token usage table from 3 columns to 5 by adding 'Model' and 'Est. Cost' columns. Use imgui.table_setup_column() for the new columns. Import cost_tracker and call cost_tracker.estimate_cost(model, input_tokens, output_tokens) for each tier row. Add a total row at the bottom. Use 1-space indentation.\"",
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"description": "Delegating surgical implementation to Tier 3 Worker with exact line refs."
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}
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```python
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# OpenCode Task tool invocation (subagent_type="tier3-worker")
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prompt = ("In gui_2.py, modify _render_mma_dashboard (lines ~2685-2699). "
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"Extend the token usage table from 3 columns to 5 by adding "
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"'Model' and 'Est. Cost' columns. Use imgui.table_setup_column() "
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"for the new columns. Import cost_tracker and call "
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"cost_tracker.estimate_cost(model, input_tokens, output_tokens) "
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"for each tier row. Add a total row at the bottom. "
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"Use 1-space indentation.")
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```
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### Example 3: Creating a Track with Audit
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**User:** Create a track for adding dark mode support.
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**Agent (You):**
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1. First, audit the codebase: `py_get_code_outline gui_2.py` → find `_render_theme_panel` (lines 2993-3030).
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1. First, audit the codebase: `py_get_code_outline gui_2.py` → find `_render_theme_panel`.
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2. Read the existing implementation: `py_get_definition gui_2.py _render_theme_panel`.
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3. Check for existing color constants: `grep_search "vec4\|C_" gui_2.py`.
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3. Check for existing color constants: `py_find_usages src/gui_2.py C_LBL`.
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4. Now write the spec with a "Current State Audit" section documenting what the theme panel already does.
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5. Write tasks referencing the exact lines and imgui color APIs to use.
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</examples>
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@@ -119,3 +119,4 @@ When your current role requires capabilities from another tier, use `activate_sk
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- When managing complex, multi-file Track implementations.
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- When creating or refining conductor tracks (MUST follow Surgical Spec Protocol).
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</triggers>
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</body</content>
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