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Zayuhai Li

Community
ace3000chao
zayuhai-li

当你面临两难选择、不知道该进还是退时, 当你看到一个"完美机会"却感觉哪里不对时, 当你需要在不确定中做重大决策时—— 调用此skill进行"杂于利害"的辩证分析。

Overview

Publisherace3000chao
Repositorybook2startup
Skill namezayuhai-li
Stars
93
Forks
14
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by ace3000chao on GitHub. Read the source before you install it.

Installation

Install the Zayuhai Li 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/ace3000chao/book2startup/tree/master/孙子兵法skills/杂于利害
  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.

Use it in TypingMind

Enable Zayuhai Li 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 Zayuhai Li 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 Zayuhai Li 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.

Skill: 杂于利害框架

R — 原文引用

"是故智者之虑,必杂于利害。杂于利而务可信也,杂于害而患可解也。" ——孙子·九变第八

I — 方法论骨架

孙子的辩证智慧:

  • 单纯看到"利" → 盲目乐观 → 忽视风险
  • 单纯看到"害" → 消极保守 → 错失机会
  • 杂于利害 → 既看到利又看到害 → 理性决策

两个转化公式:

利 → 害的转化
"杂于利而务可信也"
= 在顺境中想到潜在危险 → 风险可控

害 → 利的转化
"杂于害而患可解也"
= 在困境中看到转化可能 → 找到出路

创业者常见认知偏误:

偏误表现后果
只看利"这个市场太大了!"忽视竞争、烧钱过快
只看害"风险太大了..."永远不行动
利无害"我们不一样"对风险视而不见
害无利"这行没法做了"放弃本可突破的领域

A1 — 书中案例

九变第八中"屈诸侯者以害":

  • 用"害处"迫使对手就范
  • 看似"有害"的威胁,转化为了己方的"利"

商业案例: 华为"备胎计划"

  • "实体清单"是巨大的"害"
  • 但"备胎转正"让华为技术独立
  • 害 → 逼出了真正的实力

A2 — 未来触发情境

  • 🎯 看到"暴富"机会,内心激动时
  • 🎯 团队士气低落,觉得"没希望"时
  • 🎯 政策突变,行业面临整顿时
  • 🎯 竞争对手获得大额融资,自己缺钱时
  • 🎯 产品推广困难,用户不认可时

E — 执行步骤

步骤1:画"利弊对照表"

维度利害
金钱
时间
声誉
关系
能力

步骤2:找"利中隐藏的害"

问:"如果这件事失败了,最可能的原因是什么?"

步骤3:找"害中隐藏的利"

问:"这件事最坏的结果,能倒逼出什么机会?"

步骤4:决策

  • 利 > 害,且害可控 → 行动
  • 害 > 利,或害不可控 → 谨慎
  • 利 = 害 → 寻找新方案

B — 边界(什么时候不适用)

❌ 边界1: 需要快速决断时

  • 过度分析会错过时机
  • 适用于重大决策,不适用于日常事务

❌ 边界2: 信息极度匮乏时

  • 此时分析是"垃圾进,垃圾出"
  • 行动 > 分析

❌ 边界3: 情绪极端时

  • 人在极度恐惧或贪婪时,分析失真
  • 先调整情绪,再分析

相关Skills:

  • 合于利而动框架
  • 慎战原则
  • 知彼知己框架

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 Zayuhai Li AI skill do?

当你面临两难选择、不知道该进还是退时, 当你看到一个"完美机会"却感觉哪里不对时, 当你需要在不确定中做重大决策时—— 调用此skill进行"杂于利害"的辩证分析。

Why use Zayuhai Li on TypingMind?

Because you install it once and use it with any model. Zayuhai Li 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 Zayuhai Li in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/孙子兵法skills/杂于利害. 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 Zayuhai Li?

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 Zayuhai Li?

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

Is the Zayuhai Li AI skill free?

Yes. It is published on GitHub by ace3000chao 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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