maestro
免费Intent-to-chain planner over the canonical Session/Run lifecycle
中文简介正在准备中。当前显示原文说明。
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".
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
<required_reading> @~/.maestro/workflows/run-mode-lite.md </required_reading>
Profile application performance, identify bottlenecks, design optimization strategies, implement changes, benchmark improvements, and review code quality.
Skill(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 | Path | Prefix | Inner Loop |
|---|---|---|---|
| coordinator | roles/coordinator/role.md | — | — |
| profiler | roles/profiler/role.md | PROFILE-* | false |
| strategist | roles/strategist/role.md | STRATEGY-* | false |
| optimizer | roles/optimizer/role.md | IMPL-, FIX- | true |
| benchmarker | roles/benchmarker/role.md | BENCH-* | false |
| reviewer | roles/reviewer/role.md | REVIEW-, QUALITY- | false |
.workflow/codebase/ARCHITECTURE.md exists, read for module boundariesmaestro load --type spec --category coding — load coding constraints as shared contextmaestro search "performance optimization profiling" --json — top 5 entries as prior contextParse $ARGUMENTS:
--role <name> → Read roles/<name>/role.md, execute Phase 2-4--role → @roles/coordinator/role.md, execute entry routerPERF-OPT{run_dir}/work/team/perf-optmaestro delegate --mode analysis (read-only), maestro delegate --mode write (modifications)mcp__maestro__team_msg(session_id=<run-id>, ...)Coordinator spawns workers using this template:
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 SendMessage.
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.
| 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 |
{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
When the pipeline completes:
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" }
]
}]
})
| 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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Intent-to-chain planner over the canonical Session/Run lifecycle
中文简介正在准备中。当前显示原文说明。
Quick execution for small tasks — minimal run lifecycle (start + done) with evidence recording. Full LLM capability, scoped to mechanically clear tasks.
中文简介正在准备中。当前显示原文说明。
Create or sync session worktree for parallel dev
中文简介正在准备中。当前显示原文说明。
Manage editing boundary restrictions
中文简介正在准备中。当前显示原文说明。
Maestro Flow 命令帮助系统。搜索命令、浏览技能、工作流推荐、新手引导。Triggers on "maestro-help", "帮助", "命令", "怎么用", "skill", "workflow", "maestro 怎么用".
中文简介正在准备中。当前显示原文说明。
Use when designing, reviewing, refining, fixing, or codifying frontend UI with Maestro's self-contained Impeccable core
中文简介正在准备中。当前显示原文说明。