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guardian-retrospective

Guardian 复盘分析,检测偏差信号和行为模式

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SKILL.md
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Guardian 复盘分析

任务

分析用户的历史行为事件,识别偏差信号和重复模式。

输入

事件日志:
{event_log}

当前状态:
{current_state}

目标状态:
{goal_state}

分析要求

  1. 偏差检测:识别实际行为与目标状态的偏离
  2. 时间模式:识别每日/每周固定时间执行的行为
  3. 任务成功率:统计各类任务的完成率
  4. 最佳执行时段:分析任务成功率最高的时间段

输出格式

{
  "deviation_signals": [
    {
      "type": "偏差类型",
      "description": "偏差描述",
      "severity": "low|medium|high",
      "recommendation": "纠正建议"
    }
  ],
  "detected_patterns": [
    {
      "pattern": "描述行为模式",
      "frequency": "daily|weekly|monthly",
      "preferred_time": "HH:MM-HH:MM",
      "success_rate": 0.85,
      "confidence": 0.9
    }
  ],
  "insights": [
    "基于数据的洞察"
  ],
  "recommendations": [
    "基于分析的行动建议"
  ]
}

注意

  • confidence < 0.5 的模式不输出
  • 仅报告有足够样本(>= 3 次)的模式
  • 偏差信号需要明确的时间或行为证据
Repository
ooooooooooooooooooop/ai_life_os
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