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Wushi Qiji

Community
ace3000chao
wushi-qiji

当你需要进行战略规划、竞争分析或重大决策前评估时, 当你想系统性地对比己方与竞争对手的优劣势时, 当你需要向投资人、团队或上级汇报战略规划时—— 调用此skill使用"五事七计"框架进行结构化分析。

Overview

Publisherace3000chao
Repositorybook2startup
Skill namewushi-qiji
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 Wushi Qiji 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/五事七计-框架
  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 Wushi Qiji 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 Wushi Qiji 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 Wushi Qiji 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: 五事七计评估框架

R — 原文引用

"故经之以五事,校之以计,而索其情。一曰道,二曰天,三曰地,四曰将,五曰法。 曰:主孰有道?将孰有能?天地孰得?法令孰行?兵众孰强?士卒孰练?赏罚孰明?" ——孙子·始计第一

I — 方法论骨架

五事: 评估的基本维度

五事内涵商战对应
道人心向背企业文化、团队愿景、使命愿景
天天时时机行业周期、政策环境、市场窗口
地地理形势市场位置、渠道网络、竞争格局
将领导者创始人/CEO的能力与特质
法组织制度管理制度、激励机制、运营流程

七计: 敌我对比的七个问题

  1. 主孰有道 — 谁的愿景使命更得人心?
  2. 将孰有能 — 谁的核心领导者更有能力?
  3. 天地孰得 — 谁把握的天时地利更好?
  4. 法令孰行 — 谁的制度执行更有力?
  5. 兵众孰强 — 谁的整体实力更强?
  6. 士卒孰练 — 谁的团队训练有素?
  7. 赏罚孰明 — 谁的激励约束更清晰?

核心洞察:

  • 五事是内部分析,七计是横向对比
  • "道"排在第一,说明"人心"是根本
  • 量化对比才能得出客观结论

A1 — 书中案例

孙武见吴王阖闾,以五事七计分析吴国vs楚国:

  • 吴国:阖闾"有道",孙武"能将",本土作战"有地"
  • 楚国:楚王无道(内部离心),将相不和(令不行)
  • 结论:吴必胜楚(后吴西破强楚)

A2 — 未来触发情境

  • 🎯 创业项目立项前的自我评估
  • 🎯 商业计划书中的竞争分析章节
  • 🎯 融资路演时的战略表述
  • 🎯 团队周会/月度会的战略复盘
  • 🎯 跨部门项目立项的资源争取
  • 🎯 个人职业发展的核心竞争力评估

E — 执行步骤

步骤1:填五事雷达图

对己方在五个维度打分(1-10分):

        天(外部时机)
          ↑
         /\
        /  \
       /    \
左将←─┤      ├→右法(制度)
       \    /
        \  /
         \/
        地(资源位置)
          ↓
        底:道(文化愿景)

步骤2:做七计对比表

七计问题己方对手差距
主孰有道75+2
将孰有能67-1
...

步骤3:制定"补短板"行动计划

  • 差距≤2:保持现状,观察
  • 差距3-5:制定追赶计划
  • 差距>5:考虑战略转向或差异化

B — 边界(什么时候不适用)

❌ 边界1: 处于"探索期"的新项目

  • 此时五事七计需要的很多信息不存在
  • 过早量化分析会扼杀创新探索

❌ 边界2: 高度依赖融资的阶段

  • 资本可以短期弥补"五事"的不足
  • 此时"将孰有能"(融资能力)反而最重要

❌ 边界3: 行业剧变期

  • 旧有的"七计"维度可能不再适用
  • 颠覆性创新者的"五事"评分往往很低但仍能赢

相关Skills:

  • 知彼知己框架
  • 胜兵先胜框架
  • 先为不可胜框架

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 Wushi Qiji AI skill do?

当你需要进行战略规划、竞争分析或重大决策前评估时, 当你想系统性地对比己方与竞争对手的优劣势时, 当你需要向投资人、团队或上级汇报战略规划时—— 调用此skill使用"五事七计"框架进行结构化分析。

Why use Wushi Qiji on TypingMind?

Because you install it once and use it with any model. Wushi Qiji 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 Wushi Qiji in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/孙子兵法skills/五事七计-框架. 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 Wushi Qiji?

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 Wushi Qiji?

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

Is the Wushi Qiji 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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