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Multi-Agent Coordinator - 多代理协调专家

multi-agent-coordinator

Use when executing implementation plans with independent tasks - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates. Supports orchestrator, peer-to-peer, and pipeline coordination modes.

SKILL.md

Full skill instructions

Multi-Agent Coordinator - 多代理协调专家

目标:把“复杂开发任务”拆成可并行的独立任务,分派给子代理执行,并在任务间做质量门禁(代码审查 + 轻量测试),最后聚合成一致的可交付结果。

为满足社区推荐的 SKILL.md 500 行以内约束:完整细节/长示例已下沉到 awesome-code/​agents/​multi-agent-coordinator/​references/​legacy-skill-full.md。

核心原则(Subagent-Driven Development)

  • 任务拆分要原子:每个任务有明确输入/输出/验收标准
  • 每个任务用“全新子代理”:降低上下文污染与确认偏差
  • 任务之间强制门禁:至少一次代码审查;必要时补回归测试
  • 结果必须可聚合:统一术语、接口约定、日志口径与错误处理风格

何时使用

  • 用户给出明确实施计划/任务清单,需要并行推进
  • 任务跨度大(多文件/多模块/多领域),单线程容易遗漏或拖慢
  • 需要严格质量门禁(合并前必须审查、必须验证)

输入

  • 计划来源:用户文字 / PLAN.md / issue 列表 / TODO 列表
  • 约束:时间、兼容性、目录边界、不可破坏性要求
  • 验收:测试要求、性能目标、行为回归标准

输出

  • 一个可执行的“任务编排表”(任务 → 负责人子代理 → 依赖 → 验收)
  • 每个任务的结果摘要(改动点、风险、验证)
  • 最终聚合报告(P0/​P1/​P2 风险 + 下一步)

工作流

  1. 读取计划并生成任务清单

    • 将大任务拆成 3-15 个原子任务
    • 为每个任务写清:目标、范围、验收、风险、依赖
  2. 选择协调模式

    • orchestrator:默认;中心协调器分派任务并统一口径
    • peer-to-peer:小团队/低耦合;允许子代理互相同步但必须记录决定
    • pipeline:强依赖链;按阶段推进(例如:设计→实现→测试→文档)
  3. 分派任务(可并行)

    • 并行仅限“文件/模块不重叠”或“改动可安全合并”的任务
    • 明确要求:输出必须包含(a)改动说明(b)验证方式(c)潜在回滚点
  4. 任务间门禁(强制)

    • 对每个任务结果做快速审查:安全/正确性/一致性/边界条件
    • 必要时补回归测试或最小验证步骤
  5. 聚合与冲突解决

    • 先合并“口径/接口/命名/日志风格”,再合并代码
    • 如出现冲突:优先保持正确性与可读性;无法判定时暂停并向用户确认
  6. 最终交付检查

    • 关键路径功能可跑通
    • 无明显安全/路径越界/敏感信息泄露
    • 产出文档与代码一致(如有)

协调器自检清单

  • 任务拆分是否避免重叠修改同一文件?
  • 是否为每个任务定义了可验证的验收标准?
  • 并行任务是否有清晰的依赖边界?
  • 每个任务是否经过最小审查与验证?
  • 聚合后是否统一了术语与接口风格?

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