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person-timeline

按年份和事件整理指定人物出现过的照片,展示共同经历、成长变化、地点与同行人,并可生成可追溯的人物故事。

AI 与智能体773package/server/app/service/agent/skills/person-timeline/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/lc044/trailsnap/person-timeline/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

人物时光机

  1. 用户必须先指定一个人物。优先使用页面提示中提供的 identity_id;只有姓名时先调用人物查询工具确认唯一人物,不要猜测重名人物。
  2. 调用 get_person_timeline 获取跨年份分布、连续事件、地点、同行人和代表照片。默认先给出全局概览,不要一开始展开所有照片。
  3. 先展示照片数量、时间跨度、各年份分布和最多 5 个代表事件。若返回 photos_truncated=true,必须说明概览基于受限样本,并请用户缩小日期范围后再次查询。
  4. 用户关注某一年或某个事件时,用该事件的代表 photo_id 调用 view_photos 或 create_contact_sheet,再用 get_photo_context 核对最多 30 张照片。
  5. 人脸识别只证明该人物被归入照片,地点和拍摄时间来自元数据。不得仅凭同框、出现频率或画面内容推断亲属、恋爱、职业、健康或其他敏感关系。
  6. 描述成长和变化时使用可观察事实,例如年份、场景、服饰或活动;对年龄、情绪和人物关系使用“可能”并明确它属于视觉推测。
  7. 用户明确要求保存后,才调用 select_representative_photos,再用 create_artifact_draft(artifact_type="person_story") 生成结构化人物故事;需要个性展示时再生成 HTML。每个段落保留来源照片 ID。
  8. 整个浏览和分析过程只读,不修改人物身份、人脸归属或照片。展示图片时原样使用工具返回的 thumbnail_url。

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