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Xianwei Bukesheng

Community
ace3000chao
xianwei-bukesheng

当你需要构建防御壁垒、保护已有优势时, 当你担心新进入者颠覆你的市场时, 当你想"不战而胜"时—— 调用此skill理解"先为不可胜"的防守哲学。

Overview

Publisherace3000chao
Repositorybook2startup
Skill namexianwei-bukesheng
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 Xianwei Bukesheng 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/先为不可胜
  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 Xianwei Bukesheng 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 Xianwei Bukesheng 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 Xianwei Bukesheng 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: 先为不可胜框架

R — 原文引用

"昔之善战者,先为不可胜,以待敌之可胜。不可胜在己,可胜在敌。故善战者,能为不可胜,不能使敌之必可胜。故曰:胜可知而不可为。" ——孙子·军形第四

I — 方法论骨架

核心概念:

概念定义创业者视角
不可胜无法被战胜的状态护城河、核心能力
可胜可以战胜对手的时机市场窗口、竞争对手失误

两层含义:

  1. 先为不可胜(防守优先)

    • 先确保自己"不可被战胜"
    • 再寻找战胜对手的机会
    • 顺序不能颠倒
  2. 不可胜在己,可胜在敌

    • "不可胜"取决于自己(内因)
    • "可胜"取决于敌人(外因)
    • 不要把成功寄托在敌人犯错上

创业者对应:

不可胜 = 你的核心壁垒
       = 技术/品牌/用户心智/成本结构
       = 敌人短期内无法复制的东西

可胜 = 竞争对手的弱点暴露
     = 市场窗口期的出现
     = 敌人自己犯的错

A1 — 书中案例

孙武的"修道保法":

  • "善用兵者,修道而保法" — 修明政治,确保法制
  • 不依赖敌人不来攻,而是让自己不可被攻破
  • 敌人"可胜"时再出击,否则按兵不动

商业案例: 海底捞的"服务壁垒"

  • 服务质量 → 不可胜在己
  • 竞争对手copy服务形式,却无法复制文化
  • 等待竞争对手"可胜"的机会出现

A2 — 未来触发情境

  • 🎯 融资后资金充裕,想"烧钱"扩张时
  • 🎯 竞争对手获得大额融资,可能发动价格战时
  • 🎯 产品供不应求,想快速扩大产能时
  • 🎯 进入新市场,不知道该进攻还是防守时
  • 🎯 团队扩张,需要建立组织能力时

E — 执行步骤

步骤1:识别你的"不可胜"来源

你的核心壁垒是什么?(至少列出3个)




步骤2:评估壁垒强度

壁垒复制难度可持续性评分
/10

步骤3:设计"待敌可胜"的监控机制

监控什么?

  • 竞争对手是否犯错(内部管理/资金链/战略)
  • 市场是否出现新窗口(政策/技术/用户需求)
  • 你的壁垒是否被追赶(技术开源/人才流动)

B — 边界(什么时候不适用)

❌ 边界1: 创业早期

  • 此时"不可胜"尚未形成
  • 过早防守会错过增长窗口

❌ 边界2: 快速变化的行业

  • 技术迭代快时,今天的壁垒可能是明天的枷锁
  • 需要"可胜"的机会出现时,主动破坏自己的壁垒

❌ 边界3: "不可胜"变成"固步自封"

  • 如果"先为不可胜"变成了"不作为"
  • 就违背了孙子"待敌可胜"的本意

相关Skills:

  • 五事七计框架
  • 知彼知己框架
  • 避实击虚框架

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 Xianwei Bukesheng AI skill do?

当你需要构建防御壁垒、保护已有优势时, 当你担心新进入者颠覆你的市场时, 当你想"不战而胜"时—— 调用此skill理解"先为不可胜"的防守哲学。

Why use Xianwei Bukesheng on TypingMind?

Because you install it once and use it with any model. Xianwei Bukesheng 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 Xianwei Bukesheng in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/孙子兵法skills/先为不可胜. 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 Xianwei Bukesheng?

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 Xianwei Bukesheng?

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

Is the Xianwei Bukesheng 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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