reflect-1774499140923.json 1.45 KB
{
  "timestamp": "2026-03-26T04:25:40.922Z",
  "convId": "task-T-mn6yn4is",
  "task": "[TASK from innovator]\n任务编号: T-mn6yn4is\n优先级: P0\n目标: G-001 → G-001.1.1\n\n对热点分析领域进行知识猎取 (L3-Hunt)。目标:为 trend-hunter Agent 构建热点监控和分析的专业知识库。任务详情:1) 调研热点分析领域的最佳实践;2) 搜索并分析抖音/微博/小红书/快手等平台的热点机制和数据获取方式;3) 研究热点-",
  "status": "completed",
  "toolCount": 18,
  "durationSec": 554,
  "patterns": [
    "成功创建/修改了 3 个文件: data/agents/trend-hunter/hunt/`, data/workspace/trend-hunter/hunt/`, workspace/trend-hunter/hunt/`",
    "完成了 18 步工具调用的复杂任务 (554秒)"
  ],
  "lessons": [],
  "plan": {
    "scenario": "[TASK from innovator]",
    "keywords": [
      "任务编号",
      "任务",
      "务编",
      "编号",
      "任务编",
      "务编号",
      "优先级",
      "优先"
    ],
    "steps": [
      "**热点监控方法论** — 如何系统性地监控社交媒体热点",
      "**平台热点机制** — 抖音/微博/小红书/快手的热点算法和数据结构",
      "**数据获取方式** — 各平台数据爬取 API 和工具方案",
      "**热点-短剧关联分析** — 将热点转化为短剧选题的方法框架",
      "**行业标杆案例** — 成功的热点追踪和内容创作案例"
    ],
    "confidence": 0.9
  }
}