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Zhudongxing Linghuoxing Jihuaxing

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kangarooking
zhudongxing-linghuoxing-jihuaxing

当用户的团队执行力出了问题——OKR完不成、计划总变、团队被动等指令——时激活此skill。 典型触发信号:目标定好了但执行走样、计划赶不上变化、团队只做被分配的事不主动思考。 不调用场景:执行良好只需微调、问题在战略层面而非执行层面、单人工作不需要团队执行力框架。 与"战略-战术辩证法"skill的区别:本skill解决"执行力的三个维度如何平衡"(执行层),后者解决"攻守层级的辩证设计"(策略层)。

Overview

Publisherkangarooking
Repositorymao-selected-works-skill
Skill namezhudongxing-linghuoxing-jihuaxing
Stars
123
Forks
16
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 kangarooking on GitHub. Read the source before you install it.

Installation

Install the Zhudongxing Linghuoxing Jihuaxing 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/kangarooking/mao-selected-works-skill/tree/main/zhudongxing-linghuoxing-jihuaxing
  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/kangarooking/mao-selected-works-skill.git /tmp/mao-selected-works-skill
mkdir -p .claude/skills
cp -r /tmp/mao-selected-works-skill/zhudongxing-linghuoxing-jihuaxing .claude/skills/zhudongxing-linghuoxing-jihuaxing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Zhudongxing Linghuoxing Jihuaxing 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 Zhudongxing Linghuoxing Jihuaxing 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 Zhudongxing Linghuoxing Jihuaxing 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.

R — 原文 (Reading)

"外线的速决的进攻战……实行起来,离不了主动性、灵活性和计划性。" — 《论持久战》(1938年5月)

"行动自由是军队的命脉,失了这种自由,军队就接近于被打败或被消灭。" — 《论持久战》(1938年5月)

"'凡事预则立,不预则废',没有事先的计划和准备,就不能获得战争的胜利。" — 《论持久战》(1938年5月)

I — 方法论骨架 (Interpretation)

  1. 执行力不是一个笼统的概念,而是三个独立维度的动态平衡:主动性(主动出击vs被动等待)、灵活性(适应变化vs死守计划)、计划性(提前准备vs临场反应)。
  2. 主动性:团队不是被动等指令,而是主动定义问题、寻找机会、发起行动。主动性的核心是"行动自由权"——失了主动就接近于被打败。
  3. 灵活性:遇到变化时不是死守原计划,而是根据新情况快速调整。灵活性体现在资源调配、方案切换、节奏调整上。
  4. 计划性:虽然有灵活性,但不是临时抱佛脚——事先有周密的准备和预案。计划性提供框架,灵活性在框架内运作。
  5. 三者之间存在张力:
    • 太主动会打乱计划(个人英雄主义破坏团队节奏)
    • 太计划会压制主动(过度管理让团队变成执行机器)
    • 太灵活会变成无计划(每次调整都是临时决定)
    • 太不灵活会错过机会(死守计划无视变化)
  6. 好的执行不是三者都强,而是三者动态平衡——"有计划的灵活"远胜于"无计划的灵活"或"无灵活的计划"。

A1 — 书中应用 (Past Application)

应用1:游击战争的三要素部署 (c16)

  • 问题:游击队在敌人包围中如何保持战斗力而不被消灭。
  • 方法使用:毛泽东要求游击队同时具备三要素——主动性(主动寻找战机、主动选择战场)、灵活性(分散/集中/转移三种部署灵活切换)、计划性(事先侦察敌情、规划转移路线、准备物资)。"巩固地向前发展"本身就包含三要素的平衡。
  • 结论:游击队如果缺主动性就变成被动挨打,缺灵活性就被敌人围歼,缺计划性就变成流寇。三者缺一不可。
  • 结果:敌后抗日根据地从零发展到最后控制一亿人口区域。

应用2:第一次反"围剿" — 三要素的完美配合 (c07)

  • 问题:面对国民党优势兵力围剿,如何以弱胜强。
  • 方法使用:主动性——主动选择战场和战机(不等敌人来决定在哪里打);灵活性——两次想打谭道源不成果断撤回,等了25天找到张辉瓒再打;计划性——事先侦察敌情、部署兵力、规划歼灭方案。
  • 结论:三要素的完美配合:先有计划(兵力部署),执行中灵活调整(等了25天),始终掌握主动(选择自己的战场)。
  • 结果:一战歼灭张辉瓒部,取得第一次反"围剿"胜利。

A2 — 触发场景 (Future Trigger)

  1. OKR/目标总是完不成:目标定得清楚但执行走样,季度末总是差一截。用户会说:"目标没问题,就是执行不下去""每个季度都差那么一点"。
  2. 计划赶不上变化:市场环境变化太快,原计划总是被推翻,团队疲于奔命。用户会说:"计划做了也白做""每次刚做完计划就变了""干脆不做计划了"。
  3. 团队被动等指令:没人主动发现问题、没人提出改进建议,所有人都在等领导安排。用户会说:"推一下动一下""没人主动思考""只会执行不会思考"。
  4. 灵活变成了混乱:团队太"灵活"了,方向三天一变,执行没有章法。用户会说:"每次灵活都变成临时决定""没有一天的执行是按计划走的"。

语言信号:用户提到"执行力""OKR完不成""计划赶不上变化""团队被动""太死板/太随意""灵活和计划的矛盾"等词汇时,应优先激活此skill。

与相邻skill区分:

  • vs 战略-战术辩证法:本skill = "执行力的三维度平衡",后者 = "攻守层级的策略设计"
  • vs 十六字诀灵活策略:本skill = "执行力的系统性框架(三个维度)",后者 = "竞争节奏的四个步骤"
  • vs 集中优势兵力:本skill = "怎么执行好",后者 = "资源怎么集中"

E — 可执行步骤 (Execution)

步骤1:诊断三要素失衡点

  • 用三要素检查清单逐一诊断:
    • 主动性:团队是主动发现问题并行动,还是等指令?有无"行动自由权"?
    • 灵活性:遇到变化时是快速调整还是死守原计划?调整后有无新的方向?
    • 计划性:有没有事先的周密准备?还是每次都是临时抱佛脚?
  • 完成标准:给三要素各打分(1-5分),识别出得分最低的那个要素作为优先修复项。常见失衡模式:
    • 低主动+高灵活+低计划 = "无头苍蝇"型(方向多变但不主动)
    • 高主动+低灵活+高计划 = "机械执行"型(按计划走但不适应变化)
    • 低主动+低灵活+高计划 = "官僚体制"型(有计划但死板)

步骤2:修复最弱要素

  • 主动性不足 → 建立机制:每周每人提出1个主动改进建议、设定"先做再报"的决策权限范围、鼓励小规模试错。
  • 灵活性不足 → 建立"计划B"机制:每个重要计划都准备备选方案、设定"触发条件"(当X发生时切换到方案B)、缩短复盘周期(从月度到双周)。
  • 计划性不足 → 建立"事前准备"习惯:每次行动前花30分钟做"侦察"(收集信息、预判风险)、建立标准化的行动模板。
  • 判停点:如果三个要素都很低,先从计划性开始修复——有计划才有框架,有框架才能谈主动和灵活。

步骤3:建立动态平衡机制

  • 设定三要素的"健康区间"——不是追求每个都是满分,而是维持最低分不低于3分,且三个分数的标准差不超过1。
  • 每两周做一次"三要素快检":主动性有没有提升?灵活性有没有过度?计划性有没有变成死板?
  • 完成标准:在团队工作流程中嵌入三要素检查——每次项目启动时检查计划性,每次周会检查主动性,每次遇到变化时检查灵活性。产出"三要素仪表盘",让团队可视化当前状态。

B — 边界 (Boundary)

不要使用的场景

  1. 问题不在执行层面时:如果战略方向就错了,执行力再强也没用——先回到矛盾分析法或调查研究法确定方向。
  2. 团队极小时(1-3人):小团队的执行力问题通常是人的问题(能力或意愿),而非系统性问题,此框架过重。
  3. 高度标准化的工作:如果工作流程已经高度标准化(如工厂流水线),主动性和灵活性的空间有限,此框架不太适用。

失败模式(来自反例)

  • 教条主义(ce01):计划性过高变成教条——计划变成了宗教,任何偏离都被视为错误。正确的计划性是"有框架的灵活",不是"铁板一块的流程"。
  • 盲动主义(ce10):主动性过强但没有计划支撑——"不顾主客观条件,犯着革命的急性病,不愿意艰苦地做细小严密的群众工作,只想大干"。没有计划的主动是蛮干。
  • 极端民主化(ce17):灵活性变成议而不决——追求人人同意的决策模式,无限讨论消耗行动力。灵活不等于没有决断。

作者盲点

  • 毛泽东对三要素的论述主要面向军事指挥员(个体层面),对如何在组织中系统性地构建这三要素(制度层面)论述较少。商业启示:需要通过组织设计(激励机制、决策流程、信息流转)来系统性地培养三要素,而不能仅靠个人觉悟。

相关 skills

  • 战略-战术辩证法 (composes-with): 三要素是实现战略-战术辩证法的执行力基础——主动性体现"制造局部主动",灵活性体现"攻守转换",计划性体现"有准备的行动"。策略设计需要执行力三要素来落地。
  • 十六字诀灵活策略 (composes-with): 十六字诀的四个节奏步骤需要执行力三要素的支撑——"判断对手状态"需要计划性,"匹配对应行动"需要灵活性,"设置状态转换预警"需要主动性。

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 Zhudongxing Linghuoxing Jihuaxing AI skill do?

当用户的团队执行力出了问题——OKR完不成、计划总变、团队被动等指令——时激活此skill。 典型触发信号:目标定好了但执行走样、计划赶不上变化、团队只做被分配的事不主动思考。 不调用场景:执行良好只需微调、问题在战略层面而非执行层面、单人工作不需要团队执行力框架。 与"战略-战术辩证法"skill的区别:本skill解决"执行力的三个维度如何平衡"(执行层),后者解决"攻守层级的辩证设计"(策略层)。

Why use Zhudongxing Linghuoxing Jihuaxing on TypingMind?

Because you install it once and use it with any model. Zhudongxing Linghuoxing Jihuaxing 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 Zhudongxing Linghuoxing Jihuaxing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/kangarooking/mao-selected-works-skill/tree/main/zhudongxing-linghuoxing-jihuaxing. 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 Zhudongxing Linghuoxing Jihuaxing?

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 Zhudongxing Linghuoxing Jihuaxing?

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

Is the Zhudongxing Linghuoxing Jihuaxing AI skill free?

Yes. It is published on GitHub by kangarooking 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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