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sif-keyword-tracker

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Sif 关键词动态跟踪(Skill 2)。同一 ASIN 有历史时由 sif-keyword-scout 自动触发, 按 1~7 天窗口对比 PD 主攻词单,输出词库更新报告。Agent 必须写 insights_tracker.md, 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。

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How to use this skill

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Source SKILL.md: https://github.com/binggandata/bggg-skills/blob/HEAD/sif-keyword-tracker/SKILL.md

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Sif 关键词动态跟踪(Skill 2)

通常由 Skill 1 Step 10 触发。单独运行时同样遵循 暂停点 ③(见 scout 的 amazon-expert-guide.md)。

对比基准选择(1~7 天窗口)

python "{scripts.check_history}" --asin {ASIN} --output-dir "{output_dir}" --curr-date {DATE}

返回 compare_prev_result_dir、compare_note、compare_days_apart。

规则说明
优先按原数据日期(文件夹 YYYYMMDD / 原始表后缀)在 1~7 天窗口内选上一期,如 20260610 → 20260611
同日多次仅当没有可比的异日数据时,才对比同日前一次运行(同日重跑)
超出窗口回退到紧邻上一次异日数据(报告会标注 warning)

注意:0611 是数据日期,不是「今天跑脚本的日子」。对比的是两期 Sif 导出数据,不是同日重复执行。

两轮流程(与 Skill 1 相同)

第一轮:对比 + stats

python "{scripts.compare_versions}" --auto --output-root "{output_dir}" --output-dir "{result_dir}" --asin {ASIN} --curr-date {DATE} --skip-word

暂停点 ③(强制)

读取 {ASIN}_tracker_stats_{DATE}.json,向用户解读:

  • 新增 / 消失词(含 S 级变化)
  • SS 稳定词、搜索量与份额波动
  • 试投 / 暂停 / 观察 建议

用户确认后才写 insights_tracker.md(必须针对本次数据,勿用模板凑数)。

第二轮:生成 Word

python "{scripts.compare_versions}" --auto --output-root "{output_dir}" --output-dir "{result_dir}" --asin {ASIN} --curr-date {DATE} --insights-file "{result_dir}/insights_tracker.md"

报告结构

  • 数据段(脚本):变化摘要、新增/消失清单(含 S 级)、SS 稳定词、搜索量/份额表
  • AI 段(Agent):策略解读、逐词建议、投放调整行动清单(须反映暂停点 ③ 与用户达成的共识)

产出

{result_dir}/{ASIN}_词库更新报告_{DATE}.docx