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Binggui Sudu

Community
ace3000chao
binggui-sudu

当你需要快速决策、抓住稍纵即逝的机会时, 当竞争进入白热化、速度成为决胜关键时, 当你想理解为什么"天下武功唯快不破"时—— 调用此skill理解"兵之情主速"的快战法则。

Overview

Publisherace3000chao
Repositorybook2startup
Skill namebinggui-sudu
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 Binggui Sudu 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/兵之情主速
  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 Binggui Sudu 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 Binggui Sudu 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 Binggui Sudu 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: 兵之情主速框架

R — 原文引用

"兵之情主速,乘人之不及,由不虞之道,攻其所不戒也。" ——孙子·军争第七 / 九地第十一

I — 方法论骨架

速的三层含义:

层次含义商业对应
速决策快速判断,不犹豫决策速度
速行动快速执行,抢占先机执行速度
速变化快速迭代,因敌调整响应速度

速的三大优势:

  1. 敌人来不及准备 — 在对手反应过来之前完成布局
  2. 敌人来不及调整 — 趁对手改变策略之前扩大战果
  3. 敌人心理崩溃 — 快速连续的打击让对手"来不及思考"

核心公式:

速度 = 先发优势 + 信息优势 + 心理优势

A1 — 书中案例

孙武举例:

  • "后人发,先人至" — 比敌人晚出发,却比敌人先到达
  • 关键在于"由不虞之道" — 走敌人意想不到的路

商业案例: 字节跳动的"大力出奇迹"

  • 快速上线、快速迭代、快速试错
  • 抖音vs微视:抖音先发三个月,靠速度建立用户习惯壁垒

A2 — 未来触发情境

  • 🎯 行业出现新风口,需要快速入局时
  • 🎯 竞品刚发布新产品,需要快速回应时
  • 🎯 融资窗口期短暂,需要快速决策时
  • 🎯 市场瞬息万变,需要快速调整策略时
  • 🎯 团队效率低下,需要提速时

E — 执行步骤

步骤1:识别"时间窗口"

窗口长度 = 竞争对手反应过来需要的时间
窗口价值 = 窗口期能建立的壁垒价值

步骤2:设计"加速"方案

  • 减少审批流程
  • 并行处理多个任务
  • 授权一线快速决策
  • 资源优先集中

步骤3:找"不虞之道"

  • 竞争对手没想到的路径
  • 竞争对手不屑于做的细分市场
  • 竞争对手复制不了的能力

步骤4:建立"持续速度"机制

  • 速战只是一时
  • 需要建立"快"的组织能力
  • 文化和流程都要支持"快"

B — 边界(什么时候不适用)

❌ 边界1: 需要深度思考的决策

  • 重大战略、技术架构需要充分论证
  • "快决策"可能带来"错决策"

❌ 边界2: 高风险行动

  • 速度越快,错误成本越高
  • 涉及大量资源时,谨慎优于速度

❌ 边界3: 客户关系维护

  • 快速响应≠过度打扰
  • 过度追求速度会牺牲质量

❌ 边界4: 差异化构建期

  • 有时候"慢"反而是壁垒
  • 打磨产品比快速推出更重要

相关Skills:

  • 势险节短框架
  • 奇正相生
  • 避实击虚

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 Binggui Sudu AI skill do?

当你需要快速决策、抓住稍纵即逝的机会时, 当竞争进入白热化、速度成为决胜关键时, 当你想理解为什么"天下武功唯快不破"时—— 调用此skill理解"兵之情主速"的快战法则。

Why use Binggui Sudu on TypingMind?

Because you install it once and use it with any model. Binggui Sudu 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 Binggui Sudu in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/孙子兵法skills/兵之情主速. 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 Binggui Sudu?

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 Binggui Sudu?

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

Is the Binggui Sudu 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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