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team-perf-opt

Unified team skill for performance optimization. Coordinator orchestrates pipeline, workers are team-worker agents. Supports single/fan-out/independent parallel modes. Triggers on "team perf-opt".

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catlog22/maestro-flow
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2026년 10월 26일 14:37
감지된 SKILL.md 언어
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SKILL.md
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name
team-perf-opt
disable-model-invocation
true
description
Unified team skill for performance optimization. Coordinator orchestrates pipeline, workers are team-worker agents. Supports single/fan-out/independent parallel modes. Triggers on "team perf-opt".
allowed-tools
["Bash","Edit","Glob","Grep","Read","Write","followup_task","interrupt_agent","list_agents","mcp__maestro__team_msg","request_user_input","send_message","spawn_agent","spawn_agents_on_csv","update_plan","wait_agent"]
session-mode
run
contract
{"contract_version":2.1,"consumes":[],"produces":[{"path":"outputs/branches","kind":"performance-branches-collection","schema":"performance-branches-collection/1.0","role":"attachment","required":false},{"path":"outputs/pipelines","kind":"performance-pipelines-collection","schema":"performance-pipelines-collection/1.0","role":"attachment","required":false}],"gates":{"entry":[],"exit":[]}}
version
0.5.93
> **Agent timeout**: `spawn_agent` 异步执行且无内置超时 — 除明确短任务外一律 `spawn_agent` 后立即 `wait_agent({ timeout_ms: 3600000 })`(上限 1 小时)阻塞等待,绝不依赖 30000 默认值;`timed_out: true` 且 Agent 未完成时再次 `wait_agent` 续等,不丢弃。批量场景使用 `spawn_agents_on_csv({ max_runtime_seconds: 3600, ... })`。 <required_reading> @~/.maestro/workflows/run-mode-lite.md </required_reading> # Team Performance Optimization Profile application performance, identify bottlenecks, design optimization strategies, implement changes, benchmark improvements, and review code quality. ## Architecture ``` spawn_agent({ task_name: "team_perf_opt", message: "Execute skill team-perf-opt, args: <task-description>" }) | SKILL.md (this file) = Router | +--------------+--------------+ | | no --role flag --role <name> | | Coordinator Worker roles/coordinator/role.md roles/<name>/role.md | +-- analyze -> dispatch -> spawn workers -> STOP | +-------+-------+-------+-------+-------+ v v v v v [profiler] [strategist] [optimizer] [benchmarker] [reviewer] (team-worker agents) Pipeline (Single mode): PROFILE-001 -> STRATEGY-001 -> IMPL-001 -> BENCH-001 + REVIEW-001 (fix cycle) Pipeline (Fan-out mode): PROFILE-001 -> STRATEGY-001 -> [IMPL-B01..N](parallel) -> BENCH+REVIEW per branch Pipeline (Independent mode): [Pipeline A: PROFILE-A->STRATEGY-A->IMPL-A->BENCH-A+REVIEW-A] [Pipeline B: PROFILE-B->STRATEGY-B->IMPL-B->BENCH-B+REVIEW-B] (parallel) ``` ## Role Registry | Role | Path | Prefix | Inner Loop | |------|------|--------|------------| | coordinator | [roles/coordinator/role.md](roles/coordinator/role.md) | — | — | | profiler | [roles/profiler/role.md](roles/profiler/role.md) | PROFILE-* | false | | strategist | [roles/strategist/role.md](roles/strategist/role.md) | STRATEGY-* | false | | optimizer | [roles/optimizer/role.md](roles/optimizer/role.md) | IMPL-*, FIX-* | true | | benchmarker | [roles/benchmarker/role.md](roles/benchmarker/role.md) | BENCH-* | false | | reviewer | [roles/reviewer/role.md](roles/reviewer/role.md) | REVIEW-*, QUALITY-* | false | ## Pre-load (coordinator, before dispatch) 1. **Codebase docs**: If `.workflow/codebase/ARCHITECTURE.md` exists, read for module boundaries 2. **Specs (coding)**: `maestro load --type spec --category coding` — load coding constraints as shared context 3. **Wiki knowledge**: `maestro search "performance optimization profiling" --json` — top 5 entries as prior context 4. All optional — proceed without if unavailable ## Role Router Parse `$ARGUMENTS`: - Has `--role <name>` → Read `roles/<name>/role.md`, execute Phase 2-4 - No `--role` → `@roles/coordinator/role.md`, execute entry router ## Shared Constants - **Session prefix**: `PERF-OPT` - **Session path**: `{run_dir}/work/team/` - **Team name**: `perf-opt` - **CLI tools**: `maestro delegate --mode analysis` (read-only), `maestro delegate --mode write` (modifications) - **Message bus**: `mcp__maestro__team_msg(session_id=<run-id>, ...)` ## Worker Spawn Template Coordinator spawns workers using this template: ``` spawn_agent({ subagent_type: "team-worker", description: "Spawn <role> worker", team_name: "perf-opt", name: "<role>", run_in_background: true, prompt: `## Role Assignment role: <role> role_spec: <skill_root>/roles/<role>/role.md session: {run_dir}/work/team session_id: <run-id> team_name: perf-opt requirement: <task-description> inner_loop: <true|false> ## Progress Milestones session_id: <run-id> Report progress via team_msg at natural phase boundaries (context loaded -> core work done -> verification). Report blockers immediately via team_msg type="blocker". Report completion via team_msg type="task_complete" after final send_message. Read role_spec file (@<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions. Execute built-in Phase 1 (task discovery) -> role Phase 2-4 -> built-in Phase 5 (report).` }) ``` **Inner Loop roles** (optimizer): Set `inner_loop` dynamically — `true` for single mode, `false` for fan-out/independent (parallel branches). **Single-task roles** (profiler, strategist, benchmarker, reviewer): Set `inner_loop: false`. ## User Commands | Command | Action | |---------|--------| | `check` / `status` | Output execution status graph (branch-grouped), no advancement | | `resume` / `continue` | Check worker states, advance next step | | `revise <TASK-ID> [feedback]` | Create revision task + cascade downstream (scoped to branch) | | `feedback <text>` | Analyze feedback impact, create targeted revision chain | | `recheck` | Re-run quality check | | `improve [dimension]` | Auto-improve weakest dimension | ## Session Directory ``` {run_dir}/work/team/ +-- team-session.json # Session metadata + status + parallel_mode +-- {run_dir}/outputs/ # Run deliverables (via maestro run) | +-- baseline-metrics.json # Profiler: before-optimization metrics | +-- bottleneck-report.md # Profiler: ranked bottleneck findings | +-- optimization-plan.md # Strategist: prioritized optimization plan | +-- benchmark-results.json # Benchmarker: after-optimization metrics | +-- review-report.md # Reviewer: code review findings | +-- branches/B01/... # Fan-out branch artifacts | +-- pipelines/A/... # Independent pipeline artifacts +-- explorations/ # Shared explore cache +-- wisdom/patterns.md # Discovered patterns and conventions +-- {run_dir}/evidence/discussions/ # Discussion records +-- .msg/messages.jsonl # Team message bus +-- .msg/meta.json # Session metadata ``` ## Completion Action When the pipeline completes: ``` request_user_input({ 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" } ] }] }) ``` ## Specs Reference - [specs/pipelines.md](specs/pipelines.md) — Pipeline definitions and task registry - [specs/team-config.json](specs/team-config.json) — Team configuration ## Error Handling | Scenario | Resolution | |----------|------------| | Unknown --role value | Error with role registry list | | Role file not found | Error with expected path (roles/{name}/role.md) | | 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 | | One branch IMPL fails | Mark that branch failed, other branches continue | | Fast-advance conflict | Coordinator reconciles on next callback | | Completion action fails | Default to Keep Active |
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