{"skill":{"slug":"metric-attribution","displayName":"Aloudata CAN SKILLS - metric-attribution","summary":"对指标波动进行综合归因诊断，定位导致指标变化的关键因子、维度和外部事件。当用户需要分析指标波动原因、定位指标变化的根因、做因子拆解归因（如 GMV = UV × 转化率 × 客单价）、或理解指标为什么涨跌时，必须使用此 Skill。 触发场景包括但不限于：用户提到\"归因\"\"归因分析\"\"波动分析\"\"波动归因\"\"根因...","tags":{"latest":"1.0.4"},"stats":{"comments":0,"downloads":612,"installsAllTime":2,"installsCurrent":2,"stars":2,"versions":5},"createdAt":1773820689558,"updatedAt":1773846410035},"latestVersion":{"version":"1.0.4","createdAt":1773844704671,"changelog":"- 新增要求：需在 ~/.openclaw/.env 中配置 CAN_API_KEY 作为必需环境变量，明确标注此项为必填。\n- 文档中加入 env_vars 字段说明，提升接入指引清晰度。\n- 其余功能与接口说明与上一版本一致，无功能变更。","license":"MIT-0"},"metadata":{"os":null,"systems":null},"owner":{"handle":"jackyujun","userId":"s172qm3yezbbjev7q8rsxxbd1s83he2f","displayName":"jackyujun","image":"https://avatars.githubusercontent.com/u/4506268?v=4"},"moderation":null}