Agent skill

Zhanlue Zhanshu Bianzheng

by kangarooking in kangarooking/mao-selected-works-skill

当用户处于整体被动但需要在局部制造主动时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.

MITAuto-check passed

Install Zhanlue Zhanshu Bianzheng

skills CLI
$ npx skills add kangarooking/mao-selected-works-skill --skill zhanlue-zhanshu-bianzheng -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kangarooking/mao-selected-works-skill zhanlue-zhanshu-bianzheng --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/zhanlue-zhanshu-bianzheng .claude/skills/zhanlue-zhanshu-bianzheng && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
zhanlue-zhanshu-bianzheng
GitHub stars
115
Token cost
~1k tokens
SKILL.md length
114 words
Files
2
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

当用户处于整体被动但需要在局部制造主动时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.

  • Works in 6 steps: 战略和战术可以在同一时间方向相反——你可以在战略上防守的同时在战术上进攻,这是有意… → 防御中的进攻:公司整体在收缩不代表每个战场都要退缩。选一个最有把握的点(某个细分客… → 持久中的速决:长期竞争(持久战)不等于每场仗都慢慢打。恰恰相反,每场具体的战役都要… → …
  • SKILL.md covers R — 原文 (Reading), I — 方法论骨架 (Interpretation), A1 — 书中应用 (Past Application) and A2 — 触发场景 (Future Trigger), plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Zhanlue Zhanshu Bianzheng is an agent skill from kangarooking/mao-selected-works-skill. 当用户处于整体被动但需要在局部制造主动时激活此skill。 典型触发信号:公司整体在收缩但士气低落、资源劣势下不知如何破局、宏观被动中需要找到微观突破口。 不调用场景:双方实力相当正常竞争、已有整体优势只需执行、问题不在攻守转换层面。 与"十六字诀"skill的区别:本skill解决"宏观被动中如何制造微观主动"(攻守辩证),后者解决"根据对手状态选择节奏"(时机判断)。

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `test-prompts.json`).

The repository describes itself as: An AI skill pack distilling Selected Works of Mao Zedong into reusable cognition, strategy, organization, and execution modules. The licence is MIT.

Example prompts

  • “skill的区别:本skill解决”
  • “(攻守辩证),后者解决”
  • “/zhanlue-zhanshu-bianzheng”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. 战略和战术可以在同一时间方向相反——你可以在战略上防守的同时在战术上进攻,这是有意设计的战略张力,不是自相矛盾。
  2. 防御中的进攻:公司整体在收缩不代表每个战场都要退缩。选一个最有把握的点(某个细分客户群或某个产品功能),集中资源快速打赢一场"速决战",用小胜利提振士气、积累信心。
  3. 持久中的速决:长期竞争(持久战)不等于每场仗都慢慢打。恰恰相反,每场具体的战役都要追求速战速决——快速投入、快速打赢、快速收获,然后在下一个点重复。
  4. 内线中的外线:被包围不等于被动挨打。在对手的包围圈中寻找缝隙,从内向外打出局部反击——对手包围你的同时,你也可以在局部包围对手。
  5. 核心洞见是"攻守在不同层级可以同时存在且方向相反"——整体被动中制造局部主动,通过无数个局部的主动来逐步改变整体力量对比。
  6. 这不是"随机应变"的灵活,而是有意设计的战略张力——退是为了进,守是为了攻,弯路是为了直路。

What it can do on your machine

Read from SKILL.md and the folder at commit 5058fe4. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Zhanlue Zhanshu Bianzheng loads about 1k tokens when it runs. Until then it costs about 53 tokens; SKILL.md has 114 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~53
When it runs · the whole SKILL.md, loaded when a task matches
~1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from kangarooking/mao-selected-works-skill at commit 5058fe4, republished under its MIT licence (© kangarooking). 114 words, ~1,039 tokens.

Download SKILL.mdSave it as .claude/skills/zhanlue-zhanshu-bianzheng/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
zhanlue-zhanshu-bianzheng
description
当用户处于整体被动但需要在局部制造主动时激活此skill。 典型触发信号:公司整体在收缩但士气低落、资源劣势下不知如何破局、宏观被动中需要找到微观突破口。 不调用场景:双方实力相当正常竞争、已有整体优势只需执行、问题不在攻守转换层面。 与"十六字诀"skill的区别:本skill解决"宏观被动中如何制造微观主动"(攻守辩证),后者解决"根据对手状态选择节奏"(时机判断)。
source_book
《毛泽东选集第1-5卷》 毛泽东
source_chapter
论持久战(1938); 中国革命战争的战略问题(1936); 抗日游击战争的战略问题(1938)
tags
攻守辩证, 宏观被动微观主动, 防御中进攻, 持久中速决, 内线中外线

R — 原文 (Reading)

"在第一和第二阶段即敌之进攻和保守阶段中,应该是战略防御中的战役和战斗的进攻战,战略持久中的战役和战斗的速决战,战略内线中的战役和战斗的外线作战。" — 《论持久战》(1938年5月)

"为了进攻而防御,为了前进而后退,为了向正面而向侧面,为了走直路而走弯路,是许多事物在发展过程中所不可避免的现象,何况军事运动。" — 《中国革命战争的战略问题》(1936年12月)

I — 方法论骨架 (Interpretation)

  1. 战略和战术可以在同一时间方向相反——你可以在战略上防守的同时在战术上进攻,这是有意设计的战略张力,不是自相矛盾。
  2. 防御中的进攻:公司整体在收缩不代表每个战场都要退缩。选一个最有把握的点(某个细分客户群或某个产品功能),集中资源快速打赢一场"速决战",用小胜利提振士气、积累信心。
  3. 持久中的速决:长期竞争(持久战)不等于每场仗都慢慢打。恰恰相反,每场具体的战役都要追求速战速决——快速投入、快速打赢、快速收获,然后在下一个点重复。
  4. 内线中的外线:被包围不等于被动挨打。在对手的包围圈中寻找缝隙,从内向外打出局部反击——对手包围你的同时,你也可以在局部包围对手。
  5. 核心洞见是"攻守在不同层级可以同时存在且方向相反"——整体被动中制造局部主动,通过无数个局部的主动来逐步改变整体力量对比。
  6. 这不是"随机应变"的灵活,而是有意设计的战略张力——退是为了进,守是为了攻,弯路是为了直路。

A1 — 书中应用 (Past Application)

应用1:集中兵力的实战应用 — 第一次反"围剿" (c07)
  • 问题:国民党以优势兵力围剿红军,红军整体处于战略防御。
  • 方法使用:在整体防御中,不处处防守,而是选择最有利的战机和战场,集中兵力打进攻战——等了25天找到张辉瓒部,一战歼灭。整体退却中的局部进攻。
  • 结论:两次想打谭道源但条件不好就忍住撤回(防御中的耐心),等到好时机就果断集中兵力歼灭(防御中的进攻)。"宁可退让,持重待机"。
  • 结果:前四次反"围剿"均用此辩证法取得胜利。整体处于劣势但每次具体战役都形成局部优势。
应用2:诱敌深入 — "将欲取之必先与之" (c08)
  • 问题:面对强敌进攻,"御敌于国门之外"(处处防守)还是主动退却?
  • 方法使用:毛泽东选择主动退却(战略防御/后退),把敌人引入根据地内部,拉长其补给线,消耗其力量,然后集中兵力反击(战役进攻)。"只有丧失才能不丧失"。
  • 结论:第五次反"围剿"拒绝此辩证法(不愿丧失一寸土地),结果丧失了全部根据地。
  • 结果:正反两面对比极具说服力——前四次用辩证法胜利,第五次不用则惨败。

A2 — 触发场景 (Future Trigger)

  1. 整体收缩但士气低迷:公司被迫缩减战线、裁员、砍项目,团队士气低落。用户会说:"大家都很消极""感觉在走下坡路""团队没有斗志"。
  2. 被巨头挤压,全面被动:每个战场都在输,每个产品线都被对手压制。用户会说:"到处都在丢客户""对方全面碾压我们"。
  3. 资源劣势下的决策焦虑:资源有限,既怕不反击就等死,又怕反击了输更多。用户会说:"该不该硬拼一下""不反击就等死,反击怕死更快"。
  4. 长期竞争中的疲惫感:持久战打久了,团队疲惫,看不到希望。用户会说:"看不到尽头""不知道什么时候才能翻盘"。

语言信号:用户提到"被动""全面挨打""士气低落""看不到希望""该不该反击""收缩但心有不甘""感觉被围"等词汇时,应优先激活此skill。

与相邻skill区分:

  • vs 十六字诀灵活策略:本skill = "宏观被动中制造微观主动的原理",后者 = "根据对手状态选择具体行动"
  • vs 不对称战略:本skill = "攻守层级的辩证关系",后者 = "弱者重新定义竞争范式"
  • vs 集中优势兵力:本skill = "为什么要集中(辩证原理)",后者 = "怎么集中(操作方法)"

E — 可执行步骤 (Execution)

步骤1:承认宏观被动,锁定微观突破口
  • 诚实地承认当前整体处于战略防御(不要自欺欺人说"我们其实还行")。
  • 在所有战场中找出最有把握打赢的那一个点——可能是某个对手最薄弱的细分客户群、某个你最擅长的产品功能、或某个对手忽视的区域。
  • 完成标准:明确写出"我们在整体___方面处于被动,但在___这个具体点上,我们有___的优势,可以打赢一场局部战役"。
步骤2:打一场"防御中的进攻战"
  • 在选定的突破口集中资源(人力、预算、时间),追求速战速决——快速出结果,不要拖成消耗战。
  • 这场小战役的目标不是改变大局,而是:(1)提振团队士气;(2)验证战法是否有效;(3)积累一个小胜利的案例。
  • 判停点:如果找不到任何有把握的突破口,说明问题可能在基本面上——回到不对称战略或根据地建设,先构建能力。
步骤3:用局部胜利积累整体优势
  • 每次局部胜利后,不要急于扩大战线(那会从进攻变为冒进),而是巩固胜利成果,选下一个突破口。
  • 追踪局部胜利对整体力量对比的影响:客户口碑是否在扩散?团队信心是否在恢复?对手是否开始调整部署?
  • 完成标准:建立"局部胜利日志",记录每次微观进攻的结果(赢了什么、学到了什么、对全局的影响是什么),每季度回顾整体力量对比是否在改变。

B — 边界 (Boundary)

不要使用的场景
  1. 已有整体优势时:如果你已经在整体上占优,应该乘胜追击全面进攻,不需要"防御中的进攻"——直接用集中优势兵力打歼灭战。
  2. 紧急危机时:公司面临生死存亡(现金流即将断裂),此时不需要辩证法,需要的是紧急求生——先活下来再说。
  3. 团队尚未形成基本战斗力时:如果连一场小仗都打不赢(产品不行、团队不行),先解决基本功问题,不要幻想"防御中进攻"。
失败模式(来自反例)
  • 速胜论(ce05):把"防御中的进攻"理解为全面反攻——一个小胜利后就急于"一举拿下"。毛泽东警告:"急性病的速胜论者熬不过持久战的艰难路程,一到形势稍为好转,就吹起了战略决战的声浪"。
  • 逃跑主义(ce16):从冒进极端跳到逃跑极端——一遇到挫折就全面放弃。"左"倾路线的第一阶段是冒险主义,第二阶段保守主义,最后变成逃跑主义。防御不是逃跑。
  • 消极防御(ce11):"御敌于国门之外",试图守住每一个阵地,结果每个阵地都守不住。"不愿意丧失一部分土地,结果丧失了全部土地"。
作者盲点
  • 毛泽东对"防御中进攻"的论述主要在军事领域,对"什么规模的进攻才算战术级别"缺乏精确界定。商业启示:需要根据公司体量定义"局部战役"的边界——对10人公司,拿下1个大客户就是一场战略级进攻;对千人公司,需要更大规模的战役才算"战术"。

相关 skills

  • 十六字诀灵活策略 (composes-with): 战略-战术辩证法提供"宏观被动中制造微观主动"的原理,十六字诀提供具体的节奏执行步骤(退→扰→打→追)。
  • 不对称战略 (composes-with): 不对称战略定义弱者的竞争范式,战略-战术辩证法处理该范式内每个阶段"防守中如何进攻"的具体操作。
  • 三阶段持久战模型 (composes-with): 持久战规划宏观的三阶段时间线,战略-战术辩证法处理每个阶段内"防守中进攻"的微观操作。宏观节奏与微观战术的配合。
  • 集中优势兵力歼灭战 (composes-with): 战略-战术辩证法解释"为什么要集中兵力打局部进攻"的辩证原理,集中优势兵力提供"怎么集中"的具体操作方法。
  • 战略藐视战术重视 (composes-with): 战略-战术辩证法是策略层的设计(攻守层级的辩证),战略藐视战术重视是心态层的管理(信心与谨慎的平衡)。策略需要正确的心态来支撑执行。

© kangarooking, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in zhanlue-zhanshu-bianzheng of kangarooking/mao-selected-works-skill.

  • SKILL.md
  • test-prompts.json

Open the folder on GitHubat commit 5058fe4

Compare with similar skills

Zhanlue Zhanshu Bianzheng next to the 4 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Zhanlue Zhanshu Bianzheng compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Zhanlue Zhanshu Bianzheng this skillkangarooking/mao-selected-works-skill115—~1kAutomated safety check: PassMIT
Zhanlue Miaoshi Zhanshu Zhongshikangarooking/mao-selected-works-skill115—~1kAutomated safety check: PassMIT
Buduicheng Zhanluekangarooking/mao-selected-works-skill115—~892Automated safety check: PassMIT
Jianmiezhan Jizhong Binglikangarooking/mao-selected-works-skill115—~1.1kAutomated safety check: PassMIT
Maodun Techuxingkangarooking/mao-selected-works-skill115—~811Automated safety check: PassMIT

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  • Diaocha Yanjiu

    kangarooking/mao-selected-works-skill

    当用户即将基于二手信息(报告、传闻、他人的总结)做重大决策,或团队出现了"坐在办公室拍脑袋"的倾向时激活. An agent skill from kangarooking/mao-selected-works-skill.

    115 GitHub stars~905 tokensUpdated 5 mo ago
    Auto-check passed
  • Maodun Fenxi

    kangarooking/mao-selected-works-skill

    当用户面对多个相互交织的问题、无法判断优先级、陷入"什么都重要"的决策瘫痪时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.

    115 GitHub stars~914 tokensUpdated 5 mo ago
    Auto-check passed
  • Shijian Renshilun

    kangarooking/mao-selected-works-skill

    当用户陷入"分析瘫痪"(想做但不敢行动)或"盲目行动"(做了但不总结不提升)时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.

    115 GitHub stars~961 tokensUpdated 5 mo ago
    Auto-check passed
  • Shiliuzijue

    kangarooking/mao-selected-works-skill

    当用户需要根据竞争对手的状态选择自己的行动节奏时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.

    115 GitHub stars~951 tokensUpdated 5 mo ago
    Auto-check passed
  • Shishiqiushi Sigao

    kangarooking/mao-selected-works-skill

    当用户面对大量杂乱信息(用户反馈、竞品数据、市场报告、内部指标)需要从中提取决策信号时激活. An agent skill from kangarooking/mao-selected-works-skill.

    115 GitHub stars~899 tokensUpdated 5 mo ago
    Auto-check passed

Questions about Zhanlue Zhanshu Bianzheng

What does Zhanlue Zhanshu Bianzheng do?

当用户处于整体被动但需要在局部制造主动时激活此skill. An agent skill from kangarooking/mao-selected-works-skill. Zhanlue Zhanshu Bianzheng is an agent skill from kangarooking/mao-selected-works-skill.

How do I install Zhanlue Zhanshu Bianzheng in Claude Code?

Run `npx skills add kangarooking/mao-selected-works-skill --skill zhanlue-zhanshu-bianzheng -a claude-code`. Or copy the skill folder (zhanlue-zhanshu-bianzheng in kangarooking/mao-selected-works-skill) into .claude/skills/zhanlue-zhanshu-bianzheng in your project. Claude Code loads it when a task matches its description.

How do I install Zhanlue Zhanshu Bianzheng in Codex?

Run `npx skills add kangarooking/mao-selected-works-skill --skill zhanlue-zhanshu-bianzheng -a codex`. Or copy the skill folder (zhanlue-zhanshu-bianzheng in kangarooking/mao-selected-works-skill) into .agents/skills/zhanlue-zhanshu-bianzheng in your project. Codex loads it when a task matches its description.

Can I use Zhanlue Zhanshu Bianzheng in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kangarooking/mao-selected-works-skill --skill zhanlue-zhanshu-bianzheng -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/zhanlue-zhanshu-bianzheng, .gemini/skills/zhanlue-zhanshu-bianzheng, .github/skills/zhanlue-zhanshu-bianzheng and .opencode/skills/zhanlue-zhanshu-bianzheng in your project.

What does Zhanlue Zhanshu Bianzheng need to run?

SKILL.md names no scripts, command-line tools or credentials: Zhanlue Zhanshu Bianzheng is instructions for the agent only.

Does Zhanlue Zhanshu Bianzheng access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Zhanlue Zhanshu Bianzheng safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Zhanlue Zhanshu Bianzheng use?

Zhanlue Zhanshu Bianzheng is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Zhanlue Zhanshu Bianzheng use?

About 1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Zhanlue Zhanshu Bianzheng?

Skills that share tags, products or a category with Zhanlue Zhanshu Bianzheng: Zhanlue Miaoshi Zhanshu Zhongshi (kangarooking/mao-selected-works-skill, 115 stars), Buduicheng Zhanlue (kangarooking/mao-selected-works-skill, 115 stars), Jianmiezhan Jizhong Bingli (kangarooking/mao-selected-works-skill, 115 stars) and Maodun Techuxing (kangarooking/mao-selected-works-skill, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Zhanlue Zhanshu Bianzheng?

kangarooking (a GitHub user) maintains it in kangarooking/mao-selected-works-skill, which has 115 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on May 2, 2026.

Source: kangarooking/mao-selected-works-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.