Create a disciplined Amazon keyword-position monitoring system that prioritizes revenue-contributing terms, separates organic and sponsored observations, controls measurement noise, and triggers evidence-based diagnostics. Use when the user asks which keyword ranks to track, how often to track them, or what to do when a core term drops. Do not automate bid changes from a single noisy snapshot.
npx skills add https://github.com/xjli360/sealeap-amazon-skills --skill sealeap-amazon-keyword-rank-monitoring
把关键词位置监控从盯排名变成面向订单贡献的预警系统,用连续证据触发诊断而非情绪化调价。
缺失的数据要明确列为缺口,并把结论标成事实、估算或假设;不要补造数字。
只有在本任务确实需要外部市场、竞品、关键词或公开网页证据时,才读取 references/mcp-data-plan.md,并使用 scripts/mcp_research.py。
按订单、收入、利润和战略价值给词分级;核心贡献词高频监控,探索词降低频率。
固定站点、时间窗、设备口径和自然或广告标签,保存历史而非覆盖旧值。
把位置区间与会话、订单、CVR、CPA 对齐,识别稳定区间但不宣称固定因果。
只有连续越过位置、订单或利润护栏才触发;同时检查库存、Featured Offer、价格、评论和广告预算。
根据根因建议恢复预算、修商品页、调整目标或观察;避免只靠提高竞价追位置。
记录干预前后趋势和外部事件,判断是否真有改善。
结尾列出数据窗口、关键假设、证据缺口、风险和下一步;如包含待执行动作,单独放在“待批准变更”中。
Take xjli360/sealeap-amazon-keyword-rank-monitoring from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.