分析用户的历史行为事件,识别偏差信号和重复模式。
事件日志:
{event_log}
当前状态:
{current_state}
目标状态:
{goal_state}{
"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"
]
}61ead80
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.