team-quality-assurance

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 Quality Assurance

Orchestrate multi-agent QA: scout -> strategist -> generator -> executor -> analyst. Supports discovery, testing, and full closed-loop modes with parallel generation and GC loops.

Architecture

spawn_agent({ task_name: "team_quality_assurance", message: "Execute skill team-quality-assurance, 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
                 [scout] [strat] [gen] [exec] [analyst]
                 team-worker agents, each loads roles/<role>/role.md

Role Registry

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: QA
• Session path: {run_dir}/work/team/
• Team name: quality-assurance
• 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: "quality-assurance",
  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: quality-assurance
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).`
})

User Commands

Completion Action

When pipeline completes, coordinator presents:

request_user_input({
  questions: [{
    question: "Quality Assurance pipeline complete. What would you like to do?",
    header: "Completion",
    multiSelect: false,
    options: [
      { label: "Archive & Clean (Recommended)", description: "Archive session, clean up team" },
      { label: "Keep Active", description: "Keep session for follow-up work" },
      { label: "Export Results", description: "Export deliverables to target directory" }
    ]
  }]
})

Session Directory

{run_dir}/work/team/
├── .msg/messages.jsonl     # Team message bus
├── .msg/meta.json          # Session state + shared memory
├── wisdom/                 # Cross-task knowledge
├── {run_dir}/outputs/scan/                   # Scout output
├── {run_dir}/outputs/strategy/               # Strategist output
├── {run_dir}/outputs/tests/                  # Generator output (L1/, L2/, L3/)
├── {run_dir}/outputs/results/                # Executor output
└── {run_dir}/outputs/analysis/               # Analyst output

Specs Reference

• specs/pipelines.md — Pipeline definitions and task registry
• specs/team-config.json — Team configuration and shared memory schema

Error Handling