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Project Handoff

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duoduoler-ops
project-handoff

项目交接:把长任务的目标、有效决定、真实进度、关键文件和下一步整理成接手材料,让新对话核对后继续,避免重述和两边同时改。用户说“保存一下进度”“整理交接”“开个新对话接着做”“读 PROJECT_STATE 继续上次”时使用;宿主注入 project-handoff 压缩计数、到达压缩检查点、准备交付一个可验收阶段、发现已核实的目标或版本混淆时,也用它评估是否建议交接。提醒、保存、新建接续是三个独立动作,互不授权。

Overview

Publisherduoduoler-ops
RepositoryTable-skills
Skill nameproject-handoff
Stars
435
Forks
22
Bundled files
8
LicenseMIT
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.

  • 8 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by duoduoler-ops on GitHub. Read the source before you install it.

Installation

Install the Project Handoff 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/duoduoler-ops/Table-skills/tree/main/project-handoff
  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/duoduoler-ops/Table-skills.git /tmp/Table-skills
mkdir -p .claude/skills
cp -r /tmp/Table-skills/project-handoff .claude/skills/project-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Handoff 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 Project Handoff 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 Project Handoff 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.

项目交接

让接手对话拿到当前成果、有效决定和明确的第一步,不用用户重述,也不会两个对话同时改。适用于代码、文档、研究和媒体制作。提醒、保存、新建接续是三个动作,各有各的授权:提醒不写文件,保存不开新对话,新建只在用户确认了具体提议之后。

入口

信号做什么读哪页
用户要求保存进度、整理交接,或只输入本宿主的交接入口(Codex $project-handoff,Claude Code /project-handoff)保存材料,交付路径和可复制的开场白。笼统的“交接一下”也只到这一步保存、自动接续与恢复「保存」
用户明确要求新建并继续,或确认了写明“保存、在指定目录新建并打开、核对后继续”的提议保存后自动接续。同一次明确授权不逐步重问同页「自动接续」
用户指定交接来源并要求继续恢复:先只读核对,再按已有授权推进。只要求查看就只读同页「恢复」
宿主注入 project-handoff 计数或待评估的检查点;准备交付一个可独立验收的阶段;进入下一大段工作;发现已核实的目标、版本或约束混淆按下节评估是否建议交接本页;有计数器时再读 计数、评估与最终核验

讨论、审查、修改本 Skill 本身不触发以上任何动作;正好在检查点时,按参考页登记为不适用。

评估:什么时候值得建议换对话

只用当前任务已有的事实判断:用户决定、验证结果、文件和任务的真实状态、宿主的压缩事件。不翻私人历史,不为评估另调模型,也不按聊天轮数或感觉估算压缩次数。

条件看什么为什么
安全位置当前操作已收拢;成果、验证和后台任务的归属都能定位;该用户验收的不写成已验收接手时不能有半截写入或没人认领的任务,否则两边都以为对方在管
明确后续目标、范围、下一步和完成标准清楚,新对话能确定第一步没有第一步的交接只是存档,新对话还得回头问用户
切换收益能说出这次的具体好处,例如已结束的大量探索和后续执行分开、已纠正的旧路线不再带入换对话有成本:重读材料、丢隐性上下文。只有旧上下文会拖累下一步时才值得
  • 第 3 次自动压缩后,前两条满足就提醒一次,不等大阶段。前两次压缩不因次数提醒。
  • 之后再提醒要同时满足:新的实质阶段、具体收益、距上次正式提醒又过了 3 次压缩。同阶段改版本、调参、重渲染不算新阶段。
  • 已核实的新混淆先纠正,纠正后可以不等冷却就提醒;同一问题只提醒一次。普通报错、正常改需求、对话变长都不是混淆。
  • 目标或权限还不清楚时先补缺项。换对话不解决阻塞、失败原因或待验收的步骤。
  • 纯问答、任务已结束、讨论本 Skill:不提醒。
  • 有计数器时,最终答复前按参考页登记一次结果(提醒、暂缓、不适用);暂缓要写原因和下次检查时机。没有计数器就自检,不要声称有程序兜底。

展示

决定提醒且用户尚未回应时,建议放在最终答复正文第一段,在成果列表和任务卡之前,以“交接建议:”开头,一段话写清具体原因、接续第一步和确认后会做的动作。放最前,是因为用户通常只看开头和结尾,计数器的最终核验也只认首段;进度消息不算展示。不要放进引用、示例或代码块。例句只示范格式,不是项目事实:

交接建议:资料筛选已完成,后续进入方案编写,适合只带入已选资料与约束。确认后我会保存材料,在同一项目原目录新建并打开任务,核对后继续编写方案。

没有自动新建能力的宿主,把“新建并打开”改成实际能做的保存和手动入口。已交付的建议不在以后每轮重贴;用户已回应、建议失效或任务已无后续时撤下。

用户回应与边界

  • “先不交接”“继续做”:从回应时再冷却 3 次压缩。普通工作指令里的“继续”既不是回应,也不是交接批准。
  • “做完 X 再提醒”:到 X 再评估,不另加次数门槛。
  • “本任务不提醒”:关闭主动提醒,直到用户恢复;显式交接请求仍执行。
  • 没人回应:继续已授权工作,不追问、不自动保存、不自动新建。提醒本身不授权写文件、停止任务或新建对话。
  • 规则只放本 Skill 及配套资源,不写入全局路由、不加定时任务、不改压缩阈值。保存和接续仍按既有授权与宿主边界执行。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Project Handoff AI skill do?

项目交接:把长任务的目标、有效决定、真实进度、关键文件和下一步整理成接手材料,让新对话核对后继续,避免重述和两边同时改。用户说“保存一下进度”“整理交接”“开个新对话接着做”“读 PROJECT_STATE 继续上次”时使用;宿主注入 project-handoff 压缩计数、到达压缩检查点、准备交付一个可验收阶段、发现已核实的目标或版本混淆时,也用它评估是否建议交接。提醒、保存、新建接续是三个独立动作,互不授权。

Why use Project Handoff on TypingMind?

Because you install it once and use it with any model. Project Handoff 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 Project Handoff in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/duoduoler-ops/Table-skills/tree/main/project-handoff. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Project Handoff?

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 Project Handoff?

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

Is the Project Handoff AI skill free?

Yes. It is published on GitHub by duoduoler-ops under the MIT 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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