Ed_
3f8ae2ec3b
- Add step 1: read mma-tier2-tech-lead.md before any track work - Add explicit stop rule when Tier 3 delegation fails (credit/API error) Tier 2 must NOT silently absorb Tier 3 work as a fallback Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
109 lines
3.9 KiB
Markdown
109 lines
3.9 KiB
Markdown
---
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description: Execute a conductor track — follow TDD workflow, delegate to Tier 3/4 workers
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---
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# /conductor-implement
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Execute a track's implementation plan. This is a Tier 2 (Tech Lead) operation.
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You maintain PERSISTENT context throughout the track — do NOT lose state.
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## Startup
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1. Read `.claude/commands/mma-tier2-tech-lead.md` — load your role definition and hard rules FIRST
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2. Read `conductor/workflow.md` for the full task lifecycle protocol
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3. Read `conductor/tech-stack.md` for technology constraints
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4. Read the target track's `spec.md` and `plan.md`
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5. Identify the current task: first `[ ]` or `[~]` in `plan.md`
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If no track name is provided, run `/conductor-status` first and ask which track to implement.
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## Task Lifecycle (per task)
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Follow this EXACTLY per `conductor/workflow.md`:
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### 1. Mark In Progress
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Edit `plan.md`: change `[ ]` → `[~]` for the current task.
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### 2. Research Phase (High-Signal)
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Before touching code, use context-efficient tools IN THIS ORDER:
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1. `py_get_code_outline` — FIRST call on any Python file. Maps functions/classes with line ranges.
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2. `py_get_skeleton` — signatures + docstrings only, no bodies
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3. `get_git_diff` — understand recent changes before modifying touched files
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4. `Grep`/`Glob` — cross-file symbol search
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5. `Read` (targeted, offset+limit only) — ONLY after outline identifies specific ranges
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**NEVER** call `Read` on a full Python file >50 lines without a prior `py_get_code_outline` call.
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### 3. Write Failing Tests (Red Phase — TDD)
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**DELEGATE to Tier 3 Worker** — do NOT write tests yourself:
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```powershell
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uv run python scripts\claude_mma_exec.py --role tier3-worker "Write failing tests for: {TASK_DESCRIPTION}. Focus files: {FILE_LIST}. Spec: {RELEVANT_SPEC_EXCERPT}"
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```
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Run the tests. Confirm they FAIL. This is the Red phase.
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### 4. Implement to Pass (Green Phase)
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**DELEGATE to Tier 3 Worker**:
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```powershell
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uv run python scripts\claude_mma_exec.py --role tier3-worker "Implement minimum code to pass these tests: {TEST_FILE}. Focus files: {FILE_LIST}"
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```
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Run tests. Confirm they PASS. This is the Green phase.
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### 5. Refactor (Optional)
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With passing tests as safety net, refactor if needed. Rerun tests.
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### 6. Verify Coverage
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Use `run_powershell` MCP tool (not Bash — Bash is a mingw sandbox on Windows):
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```powershell
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uv run pytest --cov=. --cov-report=term-missing {TEST_FILE}
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```
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Target: >80% for new code.
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### 7. Commit
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Stage changes. Message format:
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```
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feat({scope}): {description}
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```
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### 8. Attach Git Notes
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```powershell
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$sha = git log -1 --format="%H"
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git notes add -m "Task: {TASK_NAME}`nSummary: {CHANGES}`nFiles: {FILE_LIST}" $sha
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```
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### 9. Update plan.md
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Change `[~]` → `[x]` and append first 7 chars of commit SHA:
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```
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[x] Task description. abc1234
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```
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Commit: `conductor(plan): Mark task '{TASK_NAME}' as complete`
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### 10. Next Task or Phase Completion
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- If more tasks in current phase: loop to step 1 with next task
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- If phase complete: run `/conductor-verify`
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## Error Handling
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### Tier 3 delegation fails (credit limit, API error, timeout)
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**STOP** — do NOT implement inline as a fallback. Ask the user:
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> "Tier 3 Worker is unavailable ({reason}). Should I continue with a different provider, or wait?"
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Never silently absorb Tier 3 work into Tier 2 context.
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### Tests fail with large output — delegate to Tier 4 QA:
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```powershell
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uv run python scripts\claude_mma_exec.py --role tier4-qa "Analyze this test failure: {ERROR_SUMMARY}. Test file: {TEST_FILE}"
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```
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Maximum 2 fix attempts. If still failing: STOP and ask the user.
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## Deviations from Tech Stack
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If implementation requires something not in `tech-stack.md`:
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1. **STOP** implementation
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2. Update `tech-stack.md` with justification
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3. Add dated note
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4. Resume
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## Important
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- You are Tier 2 — delegate heavy implementation to Tier 3
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- Maintain persistent context across the entire track
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- Use Research-First Protocol before reading large files
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- The plan.md is the SOURCE OF TRUTH for task state
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