[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6KVS2QCSP4F67D46WP8WB79":3,"skill-same:01M6KVS2QCSP4F67D46WP8WB79":59},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":26,"linkOnly":27,"markdownContent":28,"markdownBody":29,"frontMatter":30,"refName":37,"commitSha":38,"skillDirectory":39,"forksCount":40,"repositoryHtmlUrl":41,"repositoryHomepageUrl":42,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6KVS2QCSP4F67D46WP8WB79","chat_with_agent",null,"当需要咨询其他 Agent、寻求帮助，或用户明确要求某个 Agent 参与时使用。支持单次委托和多任务并行委托。","mateaix\u002Fmateclaw","mateaix","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F57164338?v=4","01M6KVQ3JXJP7M6D3BKS2BAMFF","01M6KVQ3Q8YG7DT57AY22TBXGG",1196,"Apache-2.0","https:\u002F\u002Fgithub.com\u002Fmateaix\u002Fmateclaw\u002Fblob\u002Fdev\u002Fmateclaw-server\u002Fsrc\u002Fmain\u002Fresources\u002Fskills\u002Fchat_with_agent\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25],"chat with agent","chat","with","2026-11-10 10:12:30",false,"---\nname: chat_with_agent\nversion: \"1.2.0\"\ndescription: \"当需要咨询其他 Agent、寻求帮助，或用户明确要求某个 Agent 参与时使用。支持单次委托和多任务并行委托。\"\ndependencies:\n  tools:\n    - listAvailableAgents\n    - delegateToAgent\n    - delegateParallel\n---\n\n# 与 Agent 对话\n\n## 何时使用\n\n当你需要**向另一个 Agent 询问问题、寻求帮助、请求方案、请求复核**，或用户明确要求某个 Agent 参与时使用。\n\n### 应该使用\n- 需要另一个 Agent 的专长、判断或第二意见\n- 需要向某个 Agent 请求方案、复核或建议\n- 用户明确要求某个 Agent 参与或协助\n- 多个独立子任务需要并行分配给不同 Agent\n\n### 不应使用\n- 你自己可以直接完成，且用户没有明确要求调用其他 Agent\n- 只是普通问答，不需要专门 Agent\n- 刚收到某个 Agent 的消息，**不要立刻回调同一个 Agent**（防止死循环）\n\n## 工作流程\n\n### 第一步：查询可用 Agent\n\n```\nlistAvailableAgents()\n```\n\n返回所有已启用 Agent 的名称、类型和描述，根据描述选择最合适的 Agent。\n\n### 第二步A：单次委托（串行）\n\n```\ndelegateToAgent(\n  agentName=\"data-analyst\",\n  task=\"[来自 Agent my-agent 的请求] 请帮我分析以下销售数据，给出环比趋势摘要：...\"\n)\n```\n\n- `agentName`：目标 Agent 的名称（从 `listAvailableAgents()` 返回值中取）\n- `task`：发送给目标 Agent 的完整任务描述\n- 建议在 `task` 开头加 `[来自 Agent \u003C自身名称> 的请求]` 便于对方识别来源\n\n### 第二步B：并行委托（多个独立任务同时进行）\n\n最多同时委托 3 个 Agent：\n\n```\ndelegateParallel(\n  tasksJson=\"[\n    {\\\"agentName\\\": \\\"research-agent\\\", \\\"task\\\": \\\"[来自 Agent coordinator 的请求] 搜索 AI 行业最新融资动态\\\"},\n    {\\\"agentName\\\": \\\"data-analyst\\\", \\\"task\\\": \\\"[来自 Agent coordinator 的请求] 分析上季度销售数据趋势\\\"}\n  ]\"\n)\n```\n\n`tasksJson` 是 JSON 数组字符串，每个元素包含 `agentName` 和 `task`。\n\n## 决策规则\n\n1. **用户明确要求调用某 Agent** → 先 `listAvailableAgents()` 确认名称，不要猜\n2. **能自己完成** → 不调用\n3. **多个互相独立的子任务** → 用 `delegateParallel`，不要串行逐个调用\n4. **不超过 3 个并行** → 超过时按优先级分批\n5. **收到 Agent B 回复后** → 不要立刻回调 Agent B\n\n## 与 make_plan 的区别\n\n| 技能 | 用途 |\n|------|------|\n| `chat_with_agent` | 向 Agent 咨询、委托、获取结果 |\n| `make_plan` | 专门向更强 Agent 索要执行计划（由自己执行） |\n\n## 注意事项\n\n- `delegateToAgent` 是同步阻塞调用，等待目标 Agent 完成后返回结果\n- `delegateParallel` 并发执行，等所有任务完成后一次性返回所有结果\n- MateClaw 当前不支持跨调用的会话 session 续接，每次 `delegateToAgent` 是独立对话\n- 如需上下文连贯，在 `task` 参数中附带上一次的关键结论\n","# 与 Agent 对话\n\n## 何时使用\n\n当你需要**向另一个 Agent 询问问题、寻求帮助、请求方案、请求复核**，或用户明确要求某个 Agent 参与时使用。\n\n### 应该使用\n- 需要另一个 Agent 的专长、判断或第二意见\n- 需要向某个 Agent 请求方案、复核或建议\n- 用户明确要求某个 Agent 参与或协助\n- 多个独立子任务需要并行分配给不同 Agent\n\n### 不应使用\n- 你自己可以直接完成，且用户没有明确要求调用其他 Agent\n- 只是普通问答，不需要专门 Agent\n- 刚收到某个 Agent 的消息，**不要立刻回调同一个 Agent**（防止死循环）\n\n## 工作流程\n\n### 第一步：查询可用 Agent\n\n```\nlistAvailableAgents()\n```\n\n返回所有已启用 Agent 的名称、类型和描述，根据描述选择最合适的 Agent。\n\n### 第二步A：单次委托（串行）\n\n```\ndelegateToAgent(\n  agentName=\"data-analyst\",\n  task=\"[来自 Agent my-agent 的请求] 请帮我分析以下销售数据，给出环比趋势摘要：...\"\n)\n```\n\n- `agentName`：目标 Agent 的名称（从 `listAvailableAgents()` 返回值中取）\n- `task`：发送给目标 Agent 的完整任务描述\n- 建议在 `task` 开头加 `[来自 Agent \u003C自身名称> 的请求]` 便于对方识别来源\n\n### 第二步B：并行委托（多个独立任务同时进行）\n\n最多同时委托 3 个 Agent：\n\n```\ndelegateParallel(\n  tasksJson=\"[\n    {\\\"agentName\\\": \\\"research-agent\\\", \\\"task\\\": \\\"[来自 Agent coordinator 的请求] 搜索 AI 行业最新融资动态\\\"},\n    {\\\"agentName\\\": \\\"data-analyst\\\", \\\"task\\\": \\\"[来自 Agent coordinator 的请求] 分析上季度销售数据趋势\\\"}\n  ]\"\n)\n```\n\n`tasksJson` 是 JSON 数组字符串，每个元素包含 `agentName` 和 `task`。\n\n## 决策规则\n\n1. **用户明确要求调用某 Agent** → 先 `listAvailableAgents()` 确认名称，不要猜\n2. **能自己完成** → 不调用\n3. **多个互相独立的子任务** → 用 `delegateParallel`，不要串行逐个调用\n4. **不超过 3 个并行** → 超过时按优先级分批\n5. **收到 Agent B 回复后** → 不要立刻回调 Agent B\n\n## 与 make_plan 的区别\n\n| 技能 | 用途 |\n|------|------|\n| `chat_with_agent` | 向 Agent 咨询、委托、获取结果 |\n| `make_plan` | 专门向更强 Agent 索要执行计划（由自己执行） |\n\n## 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