feat: Add templates for epics, product brief, and requirements documentation

- Introduced a comprehensive template for generating epics and stories in Phase 5, including an index and individual epic files.
- Created a product brief template for Phase 2 to summarize product vision, goals, and target users.
- Developed a requirements PRD template for Phase 3, outlining functional and non-functional requirements, along with traceability matrices.

feat: Implement tech debt roles for assessment, execution, planning, scanning, validation, and analysis

- Added roles for tech debt assessment, executor, planner, scanner, validator, and analyst, each with defined phases and processes for managing technical debt.
- Each role includes structured input requirements, processing strategies, and output formats to ensure consistency and clarity in tech debt management.
This commit is contained in:
catlog22
2026-03-07 13:32:04 +08:00
parent 7ee9b579fa
commit 29a1fea467
255 changed files with 14407 additions and 21120 deletions

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---
role: benchmarker
prefix: BENCH
inner_loop: false
message_types:
success: bench_complete
error: error
fix: fix_required
---
# Performance Benchmarker
Run benchmarks comparing before/after optimization metrics. Validate that improvements meet plan success criteria and detect any regressions.
## Phase 2: Environment & Baseline Loading
| Input | Source | Required |
|-------|--------|----------|
| Baseline metrics | <session>/artifacts/baseline-metrics.json (shared) | Yes |
| Optimization plan / detail | Varies by mode (see below) | Yes |
| .msg/meta.json | <session>/.msg/meta.json | Yes |
1. Extract session path from task description
2. **Detect branch/pipeline context** from task description:
| Task Description Field | Value | Context |
|----------------------|-------|---------|
| `BranchId: B{NN}` | Present | Fan-out branch -- benchmark only this branch's metrics |
| `PipelineId: {P}` | Present | Independent pipeline -- use pipeline-scoped baseline |
| Neither present | - | Single mode -- full benchmark |
3. **Load baseline metrics**:
- Single / Fan-out: Read `<session>/artifacts/baseline-metrics.json` (shared baseline)
- Independent: Read `<session>/artifacts/pipelines/{P}/baseline-metrics.json`
4. **Load optimization context**:
- Single: Read `<session>/artifacts/optimization-plan.md`
- Fan-out branch: Read `<session>/artifacts/branches/B{NN}/optimization-detail.md`
- Independent: Read `<session>/artifacts/pipelines/{P}/optimization-plan.md`
5. Load .msg/meta.json for project type and optimization scope
6. Detect available benchmark tools from project:
| Signal | Benchmark Tool | Method |
|--------|---------------|--------|
| package.json + vitest/jest | Test runner benchmarks | Run existing perf tests |
| package.json + webpack/vite | Bundle analysis | Compare build output sizes |
| Cargo.toml + criterion | Rust benchmarks | cargo bench |
| go.mod | Go benchmarks | go test -bench |
| Makefile with bench target | Custom benchmarks | make bench |
| No tooling detected | Manual measurement | Timed execution via Bash |
7. Get changed files scope from shared-memory (optimizer namespace, scoped by branch/pipeline)
## Phase 3: Benchmark Execution
Run benchmarks matching detected project type:
**Frontend benchmarks**: Compare bundle size, render performance, dependency weight changes.
**Backend benchmarks**: Measure endpoint response times, memory usage under load, database query improvements.
**CLI / Library benchmarks**: Execution time, memory peak, throughput under sustained load.
**All project types**:
- Run existing test suite to verify no regressions
- Collect post-optimization metrics matching baseline format
- Calculate improvement percentages per metric
**Branch-scoped benchmarking** (fan-out mode):
- Only benchmark metrics relevant to this branch's optimization
- Still check for regressions across all metrics
## Phase 4: Result Analysis
Compare against baseline and plan criteria:
| Metric | Threshold | Verdict |
|--------|-----------|---------|
| Target improvement vs baseline | Meets plan success criteria | PASS |
| No regression in unrelated metrics | < 5% degradation allowed | PASS |
| All plan success criteria met | Every criterion satisfied | PASS |
| Improvement below target | > 50% of target achieved | WARN |
| Regression detected | Any unrelated metric degrades > 5% | FAIL -> fix_required |
| Plan criteria not met | Any criterion not satisfied | FAIL -> fix_required |
1. Write benchmark results to output path (scoped by branch/pipeline/single)
2. Update `<session>/.msg/meta.json` under scoped namespace
3. If verdict is FAIL, include detailed feedback in message for FIX task creation

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# Analyze Task - Performance Optimization
Parse optimization request -> detect parallel mode -> determine scope -> design pipeline structure.
**CONSTRAINT**: Text-level analysis only. NO source code reading, NO codebase exploration.
## Signal Detection
### Parallel Mode Detection
| Flag | Value | Pipeline Shape |
|------|-------|----------------|
| `--parallel-mode=single` | explicit | Single linear pipeline |
| `--parallel-mode=fan-out` | explicit | Shared profile+strategy, N parallel IMPL branches |
| `--parallel-mode=independent` | explicit | M fully independent pipelines |
| `--parallel-mode=auto` or absent | default | Auto-detect from bottleneck count at CP-2.5 |
| `auto` with count <= 2 | auto-resolved | single mode |
| `auto` with count >= 3 | auto-resolved | fan-out mode |
### Scope Detection
| Signal | Target |
|--------|--------|
| Specific file/module mentioned | Scoped optimization |
| "slow", "performance", generic | Full application profiling |
| Specific metric mentioned (FCP, memory, startup) | Targeted metric optimization |
| Multiple quoted targets (independent mode) | Per-target scoped optimization |
### Optimization Keywords
| Keywords | Capability |
|----------|------------|
| profile, bottleneck, slow, benchmark | profiler |
| optimize, improve, reduce, speed | optimizer |
| strategy, plan, prioritize | strategist |
| verify, test, validate | benchmarker |
| review, audit, quality | reviewer |
## Output
Coordinator state from this command (used by dispatch.md):
```json
{
"parallel_mode": "<auto|single|fan-out|independent>",
"max_branches": 5,
"optimization_targets": ["<target1>", "<target2>"],
"independent_targets": [],
"scope": "<specific|full-app|targeted>",
"target_metrics": ["<metric1>", "<metric2>"]
}
```
## Pipeline Structure by Mode
| Mode | Stages |
|------|--------|
| single | PROFILE-001 -> STRATEGY-001 -> IMPL-001 -> BENCH-001 + REVIEW-001 |
| fan-out | PROFILE-001 -> STRATEGY-001 -> [IMPL-B01..N in parallel] -> BENCH+REVIEW per branch |
| independent | N complete pipelines (PROFILE+STRATEGY+IMPL+BENCH+REVIEW) in parallel |
| auto | Decided at CP-2.5 after STRATEGY-001 completes based on bottleneck count |

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@@ -14,7 +14,7 @@ Orchestrates the performance optimization pipeline: manages task chains, spawns
- Follow Command Execution Protocol for dispatch and monitor commands
- Respect pipeline stage dependencies (blockedBy)
- Stop after spawning workers -- wait for callbacks
- Handle review-fix cycles with max 3 iterations
- Handle review-fix cycles with max 3 iterations per branch
- Execute completion action in Phase 5
### MUST NOT
@@ -36,16 +36,6 @@ When coordinator needs to execute a command (dispatch, monitor):
3. **Commands are inline execution guides** -- NOT separate agents or subprocesses
4. **Execute synchronously** -- complete the command workflow before proceeding
Example:
```
Phase 3 needs task dispatch
-> Read roles/coordinator/commands/dispatch.md
-> Execute Phase 2 (Context Loading)
-> Execute Phase 3 (Task Chain Creation)
-> Execute Phase 4 (Validation)
-> Continue to Phase 4
```
---
## Entry Router
@@ -54,15 +44,15 @@ When coordinator is invoked, detect invocation type:
| Detection | Condition | Handler |
|-----------|-----------|---------|
| Worker callback | Message contains role tag [profiler], [strategist], [optimizer], [benchmarker], [reviewer] | -> handleCallback |
| Branch callback | Message contains branch tag [optimizer-B01], [benchmarker-B02], etc. | -> handleCallback (branch-aware) |
| Pipeline callback | Message contains pipeline tag [profiler-A], [optimizer-B], etc. | -> handleCallback (pipeline-aware) |
| Consensus blocked | Message contains "consensus_blocked" | -> handleConsensus |
| Status check | Arguments contain "check" or "status" | -> handleCheck |
| Manual resume | Arguments contain "resume" or "continue" | -> handleResume |
| Pipeline complete | All tasks have status "completed" | -> handleComplete |
| Interrupted session | Active/paused session exists | -> Phase 0 (Resume Check) |
| New session | None of above | -> Phase 1 (Requirement Clarification) |
| Worker callback | Message contains role tag [profiler], [strategist], [optimizer], [benchmarker], [reviewer] | -> handleCallback (monitor.md) |
| Branch callback | Message contains branch tag [optimizer-B01], [benchmarker-B02], etc. | -> handleCallback branch-aware (monitor.md) |
| Pipeline callback | Message contains pipeline tag [profiler-A], [optimizer-B], etc. | -> handleCallback pipeline-aware (monitor.md) |
| Consensus blocked | Message contains "consensus_blocked" | -> handleConsensus (monitor.md) |
| Status check | Arguments contain "check" or "status" | -> handleCheck (monitor.md) |
| Manual resume | Arguments contain "resume" or "continue" | -> handleResume (monitor.md) |
| Pipeline complete | All tasks have status "completed" | -> handleComplete (monitor.md) |
| Interrupted session | Active/paused session exists | -> Phase 0 |
| New session | None of above | -> Phase 1 |
For callback/check/resume/complete: load `commands/monitor.md` and execute matched handler, then STOP.
@@ -72,10 +62,7 @@ For callback/check/resume/complete: load `commands/monitor.md` and execute match
- Scan `.workflow/.team/PERF-OPT-*/.msg/meta.json` for active/paused sessions
- If found, extract session folder path, status, and `parallel_mode`
2. **Parse $ARGUMENTS** for detection keywords:
- Check for role name tags in message content (including branch variants like `[optimizer-B01]`)
- Check for "check", "status", "resume", "continue" keywords
- Check for "consensus_blocked" signal
2. **Parse $ARGUMENTS** for detection keywords
3. **Route to handler**:
- For monitor handlers: Read `commands/monitor.md`, execute matched handler, STOP
@@ -89,136 +76,34 @@ For callback/check/resume/complete: load `commands/monitor.md` and execute match
Triggered when an active/paused session is detected on coordinator entry.
1. Load session.json from detected session folder
2. Audit task list:
```
TaskList()
```
3. Reconcile session state vs task status:
| Task Status | Session Expects | Action |
|-------------|----------------|--------|
| in_progress | Should be running | Reset to pending (worker was interrupted) |
| completed | Already tracked | Skip |
| pending + unblocked | Ready to run | Include in spawn list |
4. Rebuild team if not active:
```
TeamCreate({ team_name: "perf-opt" })
```
5. Spawn workers for ready tasks -> Phase 4 coordination loop
2. Audit task list: `TaskList()`
3. Reconcile session state vs task status (reset in_progress to pending, rebuild team)
4. Spawn workers for ready tasks -> Phase 4 coordination loop
---
## Phase 1: Requirement Clarification
1. Parse user task description from $ARGUMENTS
2. **Parse parallel mode flags**:
| Flag | Value | Default |
|------|-------|---------|
| `--parallel-mode` | `single`, `fan-out`, `independent`, `auto` | `auto` |
| `--max-branches` | integer 1-10 | 5 (from config) |
- For `independent` mode: remaining positional arguments after flags are `independent_targets` array
- Example: `--parallel-mode=independent "optimize rendering" "optimize API"` -> targets = ["optimize rendering", "optimize API"]
3. Identify optimization target:
| Signal | Target |
|--------|--------|
| Specific file/module mentioned | Scoped optimization |
| "slow", "performance", generic | Full application profiling |
| Specific metric mentioned (FCP, memory, startup) | Targeted metric optimization |
| Multiple quoted targets (independent mode) | Per-target scoped optimization |
4. If target is unclear, ask for clarification:
```
AskUserQuestion({
questions: [{
question: "What should I optimize? Provide a target scope or describe the performance issue.",
header: "Scope"
}]
})
```
5. Record optimization requirement with scope, target metrics, parallel_mode, and max_branches
2. **Parse parallel mode flags**: `--parallel-mode` (auto/single/fan-out/independent), `--max-branches`
3. Identify optimization target (specific file, full app, or multiple independent targets)
4. If target is unclear, AskUserQuestion for scope clarification
5. Record optimization requirement with scope, target metrics, parallel_mode, max_branches
---
## Phase 2: Session & Team Setup
1. Create session directory:
```
Bash("mkdir -p .workflow/<session-id>/artifacts .workflow/<session-id>/explorations .workflow/<session-id>/wisdom .workflow/<session-id>/discussions")
```
For independent mode, also create pipeline subdirectories:
```
// For each target in independent_targets
Bash("mkdir -p .workflow/<session-id>/artifacts/pipelines/A .workflow/<session-id>/artifacts/pipelines/B ...")
```
2. Write session.json with extended fields:
```json
{
"status": "active",
"team_name": "perf-opt",
"requirement": "<requirement>",
"timestamp": "<ISO-8601>",
"parallel_mode": "<auto|single|fan-out|independent>",
"max_branches": 5,
"branches": [],
"independent_targets": [],
"fix_cycles": {}
}
```
- `parallel_mode`: from Phase 1 parsing (default: "auto")
- `max_branches`: from Phase 1 parsing (default: 5)
- `branches`: populated at CP-2.5 for fan-out mode (e.g., ["B01", "B02", "B03"])
- `independent_targets`: populated for independent mode (e.g., ["optimize rendering", "optimize API"])
- `fix_cycles`: populated per-branch/pipeline as fix cycles occur
3. Initialize meta.json with pipeline metadata:
```typescript
// Use team_msg to write pipeline metadata to .msg/meta.json
mcp__ccw-tools__team_msg({
operation: "log",
session_id: "<session-id>",
from: "coordinator",
type: "state_update",
summary: "Session initialized",
data: {
pipeline_mode: "<auto|single|fan-out|independent>",
pipeline_stages: ["profiler", "strategist", "optimizer", "benchmarker", "reviewer"],
roles: ["coordinator", "profiler", "strategist", "optimizer", "benchmarker", "reviewer"],
team_name: "perf-opt"
}
})
```
4. Create team:
```
TeamCreate({ team_name: "perf-opt" })
```
1. Create session directory with artifacts/, explorations/, wisdom/, discussions/ subdirs
2. Write session.json with extended fields (parallel_mode, max_branches, branches, fix_cycles)
3. Initialize meta.json with pipeline metadata via team_msg
4. Call `TeamCreate({ team_name: "perf-opt" })`
---
## Phase 3: Task Chain Creation
## Phase 3: Create Task Chain
Execute `commands/dispatch.md` inline (Command Execution Protocol):
1. Read `roles/coordinator/commands/dispatch.md`
2. Follow dispatch Phase 2 (context loading) -> Phase 3 (task chain creation) -> Phase 4 (validation)
3. Result: all pipeline tasks created with correct blockedBy dependencies
Execute `commands/dispatch.md` inline (Command Execution Protocol).
---
@@ -226,78 +111,34 @@ Execute `commands/dispatch.md` inline (Command Execution Protocol):
### Initial Spawn
Find first unblocked task and spawn its worker:
```
Agent({
subagent_type: "team-worker",
description: "Spawn profiler worker",
team_name: "perf-opt",
name: "profiler",
run_in_background: true,
prompt: `## Role Assignment
role: profiler
role_spec: .claude/skills/team-perf-opt/role-specs/profiler.md
session: <session-folder>
session_id: <session-id>
team_name: perf-opt
requirement: <requirement>
inner_loop: false
Read role_spec file to load Phase 2-4 domain instructions.
Execute built-in Phase 1 -> role-spec Phase 2-4 -> built-in Phase 5.`
})
```
Find first unblocked task and spawn its worker using SKILL.md Worker Spawn Template with:
- `role_spec: .claude/skills/team-perf-opt/roles/<role>/role.md`
- `team_name: perf-opt`
**STOP** after spawning. Wait for worker callback.
### Coordination (via monitor.md handlers)
All subsequent coordination is handled by `commands/monitor.md` handlers triggered by worker callbacks:
- handleCallback -> mark task done -> check pipeline -> handleSpawnNext
- handleSpawnNext -> find ready tasks -> spawn team-worker agents -> STOP
- handleComplete -> all done -> Phase 5
All subsequent coordination handled by `commands/monitor.md`.
---
## Phase 5: Report + Completion Action
1. Load session state -> count completed tasks, calculate duration
2. List deliverables:
2. List deliverables (baseline-metrics.json, bottleneck-report.md, optimization-plan.md, benchmark-results.json, review-report.md)
3. Output pipeline summary with improvement metrics from benchmark results
4. Execute completion action per SKILL.md Completion Action section
| Deliverable | Path |
|-------------|------|
| Baseline Metrics | <session>/artifacts/baseline-metrics.json |
| Bottleneck Report | <session>/artifacts/bottleneck-report.md |
| Optimization Plan | <session>/artifacts/optimization-plan.md |
| Benchmark Results | <session>/artifacts/benchmark-results.json |
| Review Report | <session>/artifacts/review-report.md |
---
3. Include discussion summaries if discuss rounds were used
4. Output pipeline summary: task count, duration, improvement metrics from benchmark results
## Error Handling
5. **Completion Action** (interactive):
```
AskUserQuestion({
questions: [{
question: "Team pipeline complete. What would you like to do?",
header: "Completion",
multiSelect: false,
options: [
{ label: "Archive & Clean (Recommended)", description: "Archive session, clean up tasks and team resources" },
{ label: "Keep Active", description: "Keep session active for follow-up work or inspection" },
{ label: "Export Results", description: "Export deliverables to a specified location, then clean" }
]
}]
})
```
6. Handle user choice:
| Choice | Steps |
|--------|-------|
| Archive & Clean | TaskList -> verify all completed -> update session status="completed" -> TeamDelete() -> output final summary with artifact paths |
| Keep Active | Update session status="paused" -> output: "Session paused. Resume with: Skill(skill='team-perf-opt', args='resume')" |
| Export Results | AskUserQuestion for target directory -> copy all artifacts -> Archive & Clean flow |
| Scenario | Resolution |
|----------|------------|
| Teammate unresponsive | Send follow-up, 2x -> respawn |
| Profiling tool not available | Fallback to static analysis methods |
| Benchmark regression detected | Auto-create FIX task with regression details |
| Review-fix cycle exceeds 3 iterations | Escalate to user with summary of remaining issues |
| One branch IMPL fails | Mark that branch failed, other branches continue |
| max_branches exceeded | Truncate to top N optimizations by priority at CP-2.5 |

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---
role: optimizer
prefix: IMPL
inner_loop: true
additional_prefixes: [FIX]
message_types:
success: impl_complete
error: error
fix: fix_required
---
# Code Optimizer
Implement optimization changes following the strategy plan. For FIX tasks, apply targeted corrections based on review/benchmark feedback.
## Modes
| Mode | Task Prefix | Trigger | Focus |
|------|-------------|---------|-------|
| Implement | IMPL | Strategy plan ready | Apply optimizations per plan priority |
| Fix | FIX | Review/bench feedback | Targeted fixes for identified issues |
## Phase 2: Plan & Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Optimization plan | <session>/artifacts/optimization-plan.md | Yes (IMPL, no branch) |
| Branch optimization detail | <session>/artifacts/branches/B{NN}/optimization-detail.md | Yes (IMPL with branch) |
| Pipeline optimization plan | <session>/artifacts/pipelines/{P}/optimization-plan.md | Yes (IMPL with pipeline) |
| Review/bench feedback | From task description | Yes (FIX) |
| .msg/meta.json | <session>/.msg/meta.json | Yes |
| Wisdom files | <session>/wisdom/patterns.md | No |
| Context accumulator | From prior IMPL/FIX tasks | Yes (inner loop) |
1. Extract session path and task mode (IMPL or FIX) from task description
2. **Detect branch/pipeline context** from task description:
| Task Description Field | Value | Context |
|----------------------|-------|---------|
| `BranchId: B{NN}` | Present | Fan-out branch -- load single optimization detail |
| `PipelineId: {P}` | Present | Independent pipeline -- load pipeline-scoped plan |
| Neither present | - | Single mode -- load full optimization plan |
3. **Load optimization context by mode**:
- **Single mode**: Read `<session>/artifacts/optimization-plan.md`
- **Fan-out branch**: Read `<session>/artifacts/branches/B{NN}/optimization-detail.md`
- **Independent pipeline**: Read `<session>/artifacts/pipelines/{P}/optimization-plan.md`
4. For FIX: parse review/benchmark feedback for specific issues to address
5. Use ACE search or CLI tools to load implementation context for target files
6. For inner loop (single mode only): load context_accumulator from prior IMPL/FIX tasks
## Phase 3: Code Implementation
Implementation backend selection:
| Backend | Condition | Method |
|---------|-----------|--------|
| CLI | Multi-file optimization with clear plan | ccw cli --tool gemini --mode write |
| Direct | Single-file changes or targeted fixes | Inline Edit/Write tools |
For IMPL tasks:
- **Single mode**: Apply optimizations in plan priority order (P0 first, then P1, etc.)
- **Fan-out branch**: Apply ONLY this branch's single optimization
- **Independent pipeline**: Apply this pipeline's optimizations in priority order
- Follow implementation guidance from plan (target files, patterns)
- Preserve existing behavior -- optimization must not break functionality
For FIX tasks:
- Read specific issues from review/benchmark feedback
- Apply targeted corrections to flagged code locations
- Verify the fix addresses the exact concern raised
General rules:
- Make minimal, focused changes per optimization
- Add comments only where optimization logic is non-obvious
- Preserve existing code style and conventions
## Phase 4: Self-Validation
| Check | Method | Pass Criteria |
|-------|--------|---------------|
| Syntax | IDE diagnostics or build check | No new errors |
| File integrity | Verify all planned files exist and are modified | All present |
| Acceptance | Match optimization plan success criteria | All target metrics addressed |
| No regression | Run existing tests if available | No new failures |
If validation fails, attempt auto-fix (max 2 attempts) before reporting error.
Append to context_accumulator for next IMPL/FIX task (single/inner-loop mode only):
- Files modified, optimizations applied, validation results
- Any discovered patterns or caveats for subsequent iterations
**Branch output paths**:
- Single: write artifacts to `<session>/artifacts/`
- Fan-out: write artifacts to `<session>/artifacts/branches/B{NN}/`
- Independent: write artifacts to `<session>/artifacts/pipelines/{P}/`

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@@ -0,0 +1,73 @@
---
role: profiler
prefix: PROFILE
inner_loop: false
message_types:
success: profile_complete
error: error
---
# Performance Profiler
Profile application performance to identify CPU, memory, I/O, network, and rendering bottlenecks. Produce quantified baseline metrics and a ranked bottleneck report.
## Phase 2: Context & Environment Detection
| Input | Source | Required |
|-------|--------|----------|
| Task description | From task subject/description | Yes |
| Session path | Extracted from task description | Yes |
| .msg/meta.json | <session>/.msg/meta.json | No |
1. Extract session path and target scope from task description
2. Detect project type by scanning for framework markers:
| Signal File | Project Type | Profiling Focus |
|-------------|-------------|-----------------|
| package.json + React/Vue/Angular | Frontend | Render time, bundle size, FCP/LCP/CLS |
| package.json + Express/Fastify/NestJS | Backend Node | CPU hotspots, memory, DB queries |
| Cargo.toml / go.mod / pom.xml | Native/JVM Backend | CPU, memory, GC tuning |
| Mixed framework markers | Full-stack | Split into FE + BE profiling passes |
| CLI entry / bin/ directory | CLI Tool | Startup time, throughput, memory peak |
| No detection | Generic | All profiling dimensions |
3. Use ACE search or CLI tools to map performance-critical code paths within target scope
4. Detect available profiling tools (test runners, benchmark harnesses, linting tools)
## Phase 3: Performance Profiling
Execute profiling based on detected project type:
**Frontend profiling**:
- Analyze bundle size and dependency weight via build output
- Identify render-blocking resources and heavy components
- Check for unnecessary re-renders, large DOM trees, unoptimized assets
**Backend profiling**:
- Trace hot code paths via execution analysis or instrumented runs
- Identify slow database queries, N+1 patterns, missing indexes
- Check memory allocation patterns and potential leaks
**CLI / Library profiling**:
- Measure startup time and critical path latency
- Profile throughput under representative workloads
- Identify memory peaks and allocation churn
**All project types**:
- Collect quantified baseline metrics (timing, memory, throughput)
- Rank top 3-5 bottlenecks by severity (Critical / High / Medium)
- Record evidence: file paths, line numbers, measured values
## Phase 4: Report Generation
1. Write baseline metrics to `<session>/artifacts/baseline-metrics.json`:
- Key metric names, measured values, units, measurement method
- Timestamp and environment details
2. Write bottleneck report to `<session>/artifacts/bottleneck-report.md`:
- Ranked list of bottlenecks with severity, location (file:line), measured impact
- Evidence summary per bottleneck
- Detected project type and profiling methods used
3. Update `<session>/.msg/meta.json` under `profiler` namespace:
- Read existing -> merge `{ "profiler": { project_type, bottleneck_count, top_bottleneck, scope } }` -> write back

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@@ -0,0 +1,75 @@
---
role: reviewer
prefix: REVIEW
inner_loop: false
additional_prefixes: [QUALITY]
discuss_rounds: [DISCUSS-REVIEW]
message_types:
success: review_complete
error: error
fix: fix_required
---
# Optimization Reviewer
Review optimization code changes for correctness, side effects, regression risks, and adherence to best practices. Provide structured verdicts with actionable feedback.
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Optimization code changes | From IMPL task artifacts / git diff | Yes |
| Optimization plan / detail | Varies by mode (see below) | Yes |
| Benchmark results | Varies by mode (see below) | No |
| .msg/meta.json | <session>/.msg/meta.json | Yes |
1. Extract session path from task description
2. **Detect branch/pipeline context** from task description:
| Task Description Field | Value | Context |
|----------------------|-------|---------|
| `BranchId: B{NN}` | Present | Fan-out branch -- review only this branch's changes |
| `PipelineId: {P}` | Present | Independent pipeline -- review pipeline-scoped changes |
| Neither present | - | Single mode -- review all optimization changes |
3. **Load optimization context by mode**:
- Single: Read `<session>/artifacts/optimization-plan.md`
- Fan-out branch: Read `<session>/artifacts/branches/B{NN}/optimization-detail.md`
- Independent: Read `<session>/artifacts/pipelines/{P}/optimization-plan.md`
4. Load .msg/meta.json for scoped optimizer namespace
5. Identify changed files from optimizer context -- read ONLY files modified by this branch/pipeline
6. If benchmark results available, read from scoped path
## Phase 3: Multi-Dimension Review
Analyze optimization changes across five dimensions:
| Dimension | Focus | Severity |
|-----------|-------|----------|
| Correctness | Logic errors, off-by-one, race conditions, null safety | Critical |
| Side effects | Unintended behavior changes, API contract breaks, data loss | Critical |
| Maintainability | Code clarity, complexity increase, naming, documentation | High |
| Regression risk | Impact on unrelated code paths, implicit dependencies | High |
| Best practices | Idiomatic patterns, framework conventions, optimization anti-patterns | Medium |
Per-dimension review process:
- Scan modified files for patterns matching each dimension
- Record findings with severity (Critical / High / Medium / Low)
- Include specific file:line references and suggested fixes
If any Critical findings detected, use CLI tools for multi-perspective validation (DISCUSS-REVIEW round) to validate the assessment before issuing verdict.
## Phase 4: Verdict & Feedback
Classify overall verdict based on findings:
| Verdict | Condition | Action |
|---------|-----------|--------|
| APPROVE | No Critical or High findings | Send review_complete |
| REVISE | Has High findings, no Critical | Send fix_required with detailed feedback |
| REJECT | Has Critical findings or fundamental approach flaw | Send fix_required + flag for strategist escalation |
1. Write review report to scoped output path (single/fan-out/independent)
2. Update `<session>/.msg/meta.json` under scoped namespace
3. If DISCUSS-REVIEW was triggered, record discussion summary in discussions directory

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---
role: strategist
prefix: STRATEGY
inner_loop: false
discuss_rounds: [DISCUSS-OPT]
message_types:
success: strategy_complete
error: error
---
# Optimization Strategist
Analyze bottleneck reports and baseline metrics to design a prioritized optimization plan with concrete strategies, expected improvements, and risk assessments.
## Phase 2: Analysis Loading
| Input | Source | Required |
|-------|--------|----------|
| Bottleneck report | <session>/artifacts/bottleneck-report.md | Yes |
| Baseline metrics | <session>/artifacts/baseline-metrics.json | Yes |
| .msg/meta.json | <session>/.msg/meta.json | Yes |
| Wisdom files | <session>/wisdom/patterns.md | No |
1. Extract session path from task description
2. Read bottleneck report -- extract ranked bottleneck list with severities
3. Read baseline metrics -- extract current performance numbers
4. Load .msg/meta.json for profiler findings (project_type, scope)
5. Assess overall optimization complexity:
| Bottleneck Count | Severity Mix | Complexity |
|-----------------|-------------|------------|
| 1-2 | All Medium | Low |
| 2-3 | Mix of High/Medium | Medium |
| 3+ or any Critical | Any Critical present | High |
## Phase 3: Strategy Formulation
For each bottleneck, select optimization approach by type:
| Bottleneck Type | Strategies | Risk Level |
|----------------|-----------|------------|
| CPU hotspot | Algorithm optimization, memoization, caching, worker threads | Medium |
| Memory leak/bloat | Pool reuse, lazy initialization, WeakRef, scope cleanup | High |
| I/O bound | Batching, async pipelines, streaming, connection pooling | Medium |
| Network latency | Request coalescing, compression, CDN, prefetching | Low |
| Rendering | Virtualization, memoization, CSS containment, code splitting | Medium |
| Database | Index optimization, query rewriting, caching layer, denormalization | High |
Prioritize optimizations by impact/effort ratio:
| Priority | Criteria |
|----------|----------|
| P0 (Critical) | High impact + Low effort -- quick wins |
| P1 (High) | High impact + Medium effort |
| P2 (Medium) | Medium impact + Low effort |
| P3 (Low) | Low impact or High effort -- defer |
If complexity is High, use CLI tools for multi-perspective analysis (DISCUSS-OPT round) to evaluate trade-offs between competing strategies before finalizing the plan.
Define measurable success criteria per optimization (target metric value or improvement %).
## Phase 4: Plan Output
1. Write optimization plan to `<session>/artifacts/optimization-plan.md`:
Each optimization MUST have a unique OPT-ID and self-contained detail block:
```markdown
### OPT-001: <title>
- Priority: P0
- Target bottleneck: <bottleneck from report>
- Target files: <file-list>
- Strategy: <selected approach>
- Expected improvement: <metric> by <X%>
- Risk level: <Low/Medium/High>
- Success criteria: <specific threshold to verify>
- Implementation guidance:
1. <step 1>
2. <step 2>
3. <step 3>
### OPT-002: <title>
...
```
Requirements:
- Each OPT-ID is sequentially numbered (OPT-001, OPT-002, ...)
- Each optimization must be **non-overlapping** in target files
- Implementation guidance must be self-contained
2. Update `<session>/.msg/meta.json` under `strategist` namespace:
- Read existing -> merge -> write back with optimization metadata
3. If DISCUSS-OPT was triggered, record discussion summary in `<session>/discussions/DISCUSS-OPT.md`