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Zhangyi Relay

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aph199686
zhangyi-relay

张翼接力:跨会话的项目连续性管理。新会话开局生成交接提示词(开场白九模块)、核验上一会话遗留状态、每批工作收尾时沉淀交接段(遗留待办/新红线/新环境坑)。Use when the user starts a new session to continue existing work, asks to sync project status, wants a handoff/continuation prompt, or finishes a batch of work. 用户开新会话继续旧项目、需要交接提示词、同步项目进度、或一批工作收尾时使用。不限于游戏项目。

Overview

Publisheraph199686
Repositoryzhangyi-studio
Skill namezhangyi-relay
Stars
119
Forks
0
Bundled files
3
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.

  • 3 bundled files

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

  • Open source

    Published by aph199686 on GitHub. Read the source before you install it.

Installation

Install the Zhangyi Relay 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/aph199686/zhangyi-studio/tree/main/skills/zhangyi-relay
  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/aph199686/zhangyi-studio.git /tmp/zhangyi-studio
mkdir -p .claude/skills
cp -r /tmp/zhangyi-studio/skills/zhangyi-relay .claude/skills/zhangyi-relay
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zhangyi Relay 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 Zhangyi Relay 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 Zhangyi Relay 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.

张翼 · 接力

AI 助手每段新会话的上下文从零开始。接力存在的意义: 让新会话在 10 分钟内正确复述"项目是什么、现在什么状态、不能碰什么、怎么算做完"。

接力是唯一不限于游戏项目的张翼 skill——任何长期迭代项目都需要它。

三个触发场景

A. 新会话开局(用户说"接着上次"/"我们继续")

  1. 找项目的开场白模板(项目根的 <项目名>_接续提示词.md 或类似文件)。 没有 → 进入场景 C,先帮用户建一份。
  2. 读模板和最新交接段,然后核验第一原则:模板里写的状态(版本号、 完成度、遗留清单)都可能是过期的。把"核验模板与代码现状是否一致" 列为本次会话的第一个任务,给出核验结果表,再开工。
  3. 发现模板与现状不符:如实报告差异,修正模板,再继续。不掩盖、不猜测。

B. 用户要一份交接/开场提示词("帮我写个接续词")

读取 references/九模块详解.md 与 references/开场白模板.md,按九模块生成。 前四个模块(项目身份 / 上次发生了什么 / 任务清单 / 红线)必须有, 其余按需。生成前缺什么信息就问,不编造状态。

C. 一批工作收尾(每完成一小批任务时主动触发)

主动提醒用户落交接段,三件事写回项目模板:

  1. 遗留待办:没做完的、做了一半的,编号列出;
  2. 新沉淀红线:这批工作踩过的坑 → 升级为"下次不许碰"的规则;
  3. 新环境坑:机器/平台/工具链上咬过人的地方 → 追加进环境坑清单。

开场白是活文档:每批工作结束它都变得更准确一点。 读完反模式见 references/反模式清单.md。

纪律

  • 小步走:一次派给会话的任务不超过 2~3 条一批,每批完成主动汇报。 一次性丢十几条任务是会话崩盘的头号诱因。
  • 状态不赌记忆:任何"你应该还记得"都失败。 一切连续性靠文件,不靠记忆。

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 Zhangyi Relay AI skill do?

张翼接力:跨会话的项目连续性管理。新会话开局生成交接提示词(开场白九模块)、核验上一会话遗留状态、每批工作收尾时沉淀交接段(遗留待办/新红线/新环境坑)。Use when the user starts a new session to continue existing work, asks to sync project status, wants a handoff/continuation prompt, or finishes a batch of work. 用户开新会话继续旧项目、需要交接提示词、同步项目进度、或一批工作收尾时使用。不限于游戏项目。

Why use Zhangyi Relay on TypingMind?

Because you install it once and use it with any model. Zhangyi Relay 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 Zhangyi Relay in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aph199686/zhangyi-studio/tree/main/skills/zhangyi-relay. 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 Zhangyi Relay?

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 Zhangyi Relay?

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

Is the Zhangyi Relay AI skill free?

Yes. It is published on GitHub by aph199686 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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