adb-mysql
Free阿里云 AnalyticDB (ADB) for MySQL 只读数据分析。 多维分析(计数/聚合/时间序列)、交叉验证、Schema 文档生成、多 Profile。
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Multi-agent SWE team built on the Workshop model. Full-stack vertical workers, meeting room with @mention notification, private pipes, shared task board. Git worktree isolation, Leader-driven coordination. Mixed Codex/Claude Code engine. Use when a task needs engineering depth beyond a single agent. NOT for simple task parallelism (use agent-task-orchestration) or design discussions (use agent-brainstorm).
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
你是用户的持续在线代理。当用户给出工程目标并触发本技能,你成为 Workshop Supervisor。 你不写代码——你启动一支全栈工程团队,监控进度,转发人类意图,保障系统透明。
三层架构:
用户 ─── 给出目标 ─── 可随时介入
│
▼
你 (Supervisor) ── 启动 Workshop → 监控 → 转发 → 收尾
│
▼
Hub (HTTP Server) ── 纯管道 + @mention 自动唤醒
│
├── Leader ── 内部协调者:分解目标、分配任务、质检、收工
├── Worker×N ── 全栈工匠:各自独立 worktree,垂直切片
└── Inspector ── 质检官:基于原始目标整体评估
行为准则:
ws say "消息"。# 1. 确保依赖(只需首次)
cd <skill-dir>/agent-swe-team && npm install
# 2. 后台启动(serve 不返回)
node <skill-dir>/agent-swe-team/scripts/team.mjs serve \
--cwd <项目目录> --goal "你的目标" &
# 3. 等待就绪 + 获取端口
sleep 3
PORT=$(cat <项目目录>/.workshop/port)
export WORKSHOP_CWD=<项目目录>
Hub 启动后自动:创建 .workshop/、integration 分支、Worker worktrees、打开 Dashboard、唤醒 Leader。
使用 ws.mjs CLI 工具减少上下文消耗:
WS="node <skill-dir>/agent-swe-team/scripts/ws.mjs"
退避轮询:
Phase 间隔 命令
启动确认 60s $WS signal
运行中 120s $WS signal → 如果 RUNNING → $WS board
尾声 300s $WS signal → 等 COMPLETED
$WS signal
├─ "COMPLETED" → 跳到 Phase 3
└─ "RUNNING" → $WS board
if leader idle 且有 Worker 完成/空闲:
$WS wake leader
人类消息: $WS say "用户说的内容"
@mention 自动唤醒: 内部 Agent 在会议室 @另一个 Agent 时,Hub 自动唤醒被提及者并注入新消息。Supervisor 无需干预。
$WS signal # → "COMPLETED"
cd <项目目录>
RUN_ID=$($WS board | head -1 | awk '{print $NF}')
git diff main..integration/$RUN_ID --stat
git checkout main && git merge integration/$RUN_ID --no-ff
| 场景 | 信号 | 处理 |
|---|---|---|
| Worker 异常 | 会议室 "异常终止" | $WS wake leader |
| merge 冲突 | 会议室 "合并失败" | $WS wake leader |
| Hub 进程挂 | PORT 无响应 | 重新 serve(board.json 恢复) |
| Leader 卡 idle | Workers 完成但无动作 | $WS wake leader |
$WS signal # → "RUNNING" 或 "COMPLETED"
$WS board # 紧凑面板视图 (~10 行)
$WS wake leader # 唤醒 Agent
$WS say "message" # 发到会议室
$WS say "@worker-1 检查一下日志" # @mention → 自动唤醒 worker-1
$WS dm worker-1 "私信" # 发 DM
$WS task create "标题" --assign worker-1 # 创建任务
$WS task complete 1 "摘要" # 完成任务
$WS task progress 1 50 "备注" # 更新进度
$WS merge worker-1 # 合并分支
$WS done # 结束运行
$WS chat # 读会议室
node scripts/team.mjs serve --goal "目标" [选项]
node scripts/team.mjs status [--cwd <DIR>]
| 选项 | 默认值 | 说明 |
|---|---|---|
--goal | 必需 | 目标描述 |
--cwd | cwd | 项目目录 |
--roles | leader,worker:2,inspector | 团队组成 |
--engine | codex | codex(thread resume) / claude(new session) |
--base | HEAD | 基准 commit |
--port | 自动 | 端口号 |
--dry-run | false | 模拟(不启动 Agent) |
| 文档 | 用途 | 何时读取 |
|---|---|---|
| api_reference.md | Hub 全部 HTTP API + JSON Schema | 需要直接调 HTTP API 时 |
| internal_roles.md | Leader/Worker/Inspector 内部机制 | 理解内部行为 / 调试时 |
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阿里云 AnalyticDB (ADB) for MySQL 只读数据分析。 多维分析(计数/聚合/时间序列)、交叉验证、Schema 文档生成、多 Profile。
The English summary is being prepared. Showing the original description.
Multi-agent brainstorming: async opinion collision with expert personas. Mixed Codex/Claude Code engine. Use when multiple AI agents need to collaboratively discuss, debate, and converge on solutions through structured dialog. Triggers: brainstorm, multi-perspective discussion, opinion collision, expert debate, war room, collective intelligence, 头脑风暴, 多视角讨论, 集思广益.
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Frontend design blueprints with craftsmanship scoring, self-critique loops, and engineering handoff. Aesthetic intelligence against AI homogeneity. Use for: UI/UX design specs, design system creation, visual direction exploration, component design review, design-to-engineering handoff.
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Task decomposition and multi-agent orchestration with retry, checkpoint recovery, and real-time monitoring. Mixed Codex/Claude Code engine. Parallel/sequential execution.
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针对 cnb.cool 的云原生构建(CNB Build):生成/修改 .cnb.yml 流水线、触发规则、 构建环境、runner 资源、缓存、环境变量、手动触发与调试。 在接入、迁移、优化或排查 CNB 构建配置时使用。
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Coding.net DevOps automation: MR lifecycle, CI operations (trigger/logs/stop), artifact registry, cross-project queries, remote file audit.
The English summary is being prepared. Showing the original description.