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Person Timeline

Community
LC044
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。

Overview

PublisherLC044
RepositoryTrailSnap
Skill nameperson-timeline
Stars
782
Forks
96
Bundled files
Instructions only
LicenseAGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by LC044 on GitHub. Read the source before you install it.

Installation

Install the Person Timeline AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/LC044/TrailSnap/tree/master/package/server/app/service/agent/skills/person-timeline
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/LC044/TrailSnap.git /tmp/TrailSnap
mkdir -p .claude/skills
cp -r /tmp/TrailSnap/package/server/app/service/agent/skills/person-timeline .claude/skills/person-timeline
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Person Timeline in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Person Timeline on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Person Timeline is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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。

Frequently asked questions

What does the Person Timeline AI skill do?

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。

Why use Person Timeline on TypingMind?

Because you install it once and use it with any model. Person Timeline is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Person Timeline in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/LC044/TrailSnap/tree/master/package/server/app/service/agent/skills/person-timeline. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Person Timeline?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Person Timeline?

As many as you like. As long as a model supports skills, you can use Person Timeline with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Person Timeline AI skill free?

Yes. It is published on GitHub by LC044 under the AGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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