Jianmiezhan Jizhong Bingli
kangarooking/mao-selected-works-skill
当用户资源有限但面临多个机会/威胁,需要在多个方向间做取舍时激活。典型触发信号: "5个客户机会同时出现""要不要同时做ToB和ToC""资源不够分怎么办"。
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.
$ npx skills add kangarooking/mao-selected-works-skill --skill shiliuzijue -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shiliuzijue --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/shiliuzijue .claude/skills/shiliuzijue && rm -rf skills-srcUse ~/.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/
Install the "shiliuzijue" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shiliuzijue into .claude/skills/shiliuzijue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shiliuzijue", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/kangarooking/mao-selected-works-skill/tree/main/shiliuzijueType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add kangarooking/mao-selected-works-skill --skill shiliuzijue -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shiliuzijue --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/shiliuzijue .agents/skills/shiliuzijue && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "shiliuzijue" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shiliuzijue into .agents/skills/shiliuzijue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shiliuzijue", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kangarooking/mao-selected-works-skill --skill shiliuzijue -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shiliuzijue --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/shiliuzijue .cursor/skills/shiliuzijue && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "shiliuzijue" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shiliuzijue into .cursor/skills/shiliuzijue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shiliuzijue", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/kangarooking/mao-selected-works-skill.git --path shiliuzijue--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add kangarooking/mao-selected-works-skill --skill shiliuzijue -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shiliuzijue --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/shiliuzijue .gemini/skills/shiliuzijue && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "shiliuzijue" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shiliuzijue into .gemini/skills/shiliuzijue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shiliuzijue", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install kangarooking/mao-selected-works-skill shiliuzijueInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add kangarooking/mao-selected-works-skill --skill shiliuzijue -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/shiliuzijue .github/skills/shiliuzijue && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "shiliuzijue" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shiliuzijue into .github/skills/shiliuzijue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shiliuzijue", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kangarooking/mao-selected-works-skill --skill shiliuzijue -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kangarooking/mao-selected-works-skill shiliuzijue --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kangarooking/mao-selected-works-skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/shiliuzijue .opencode/skills/shiliuzijue && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "shiliuzijue" agent skill from https://github.com/kangarooking/mao-selected-works-skill/tree/main/shiliuzijue into .opencode/skills/shiliuzijue/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shiliuzijue", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
shiliuzijue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.
Shiliuzijue is an agent skill from 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。 典型触发信号:面对强势对手不知该攻还是守、节奏被对手带跑、被动应对总慢一步。 不调用场景:没有明确对手的蓝海市场、竞争态势稳定不需要节奏调整、用户需要的是战略规划而非行动节奏。 与"不对称战略"skill的区别:本skill解决"此刻该攻还是守"(节奏层),后者解决"用什么范式竞争"(战略层)。
Its SKILL.md is about 950 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.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5058fe4. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Shiliuzijue loads about 951 tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 118 words of instructions outside code blocks.
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.
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.
The full file from kangarooking/mao-selected-works-skill at commit 5058fe4, republished under its MIT licence (© kangarooking). 118 words, ~951 tokens.
.claude/skills/shiliuzijue/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub."从一九二八年五月开始,适应当时情况的带着朴素性质的游击战争基本原则,已经产生出来了,那就是所谓'敌进我退,敌驻我扰,敌疲我打,敌退我追'的十六字诀。……基本的原则,仍然是那个十六字诀。十六字诀包举了反'围剿'的基本原则,包举了战略防御和战略进攻的两个阶段,在防御时又包举了战略退却和战略反攻的两个阶段。" — 《中国革命战争的战略问题》(1936年12月)
语言信号:用户提到"对手在___""竞争节奏""该攻还是守""要不要跟进""时机对不对""他们动作很大/动作放缓"等词汇时,应优先激活此skill。
与相邻skill区分:
© kangarooking, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file in shiliuzijue of kangarooking/mao-selected-works-skill.
Open the folder on GitHubat commit 5058fe4
Shiliuzijue next to the 2 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Shiliuzijue this skillkangarooking/mao-selected-works-skill | 115 | — | ~951 | Automated safety check: Pass | MIT | |
| Jianmiezhan Jizhong Binglikangarooking/mao-selected-works-skill | 115 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Maodun Techuxingkangarooking/mao-selected-works-skill | 115 | — | ~811 | Automated safety check: Pass | MIT |
kangarooking/mao-selected-works-skill
当用户资源有限但面临多个机会/威胁,需要在多个方向间做取舍时激活。典型触发信号: "5个客户机会同时出现""要不要同时做ToB和ToC""资源不够分怎么办"。
kangarooking/mao-selected-works-skill
当用户准备套用一个成功方法论(别人的或自己过去的)到新场景时激活此skill。典型触发信号: "某公司用了X方法成功了,我们也该试试""我之前这么做有效,继续做""行业最佳实践是Y"。
kangarooking/mao-selected-works-skill
当用户作为弱势方面对强势竞争者、感觉"处处被动无法招架"时激活此skill. An agent skill from kangarooking/mao-selected-works-skill.
kangarooking/mao-selected-works-skill
当用户面对明显强于自己的对手(巨头入场、资源差距、品牌劣势)需要规划长期竞争策略时激活. An agent skill from kangarooking/mao-selected-works-skill.
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.
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.
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.
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.
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. Shiliuzijue is an agent skill from kangarooking/mao-selected-works-skill.
Run `npx skills add kangarooking/mao-selected-works-skill --skill shiliuzijue -a claude-code`. Or copy the skill folder (shiliuzijue in kangarooking/mao-selected-works-skill) into .claude/skills/shiliuzijue in your project. Claude Code loads it when a task matches its description.
Run `npx skills add kangarooking/mao-selected-works-skill --skill shiliuzijue -a codex`. Or copy the skill folder (shiliuzijue in kangarooking/mao-selected-works-skill) into .agents/skills/shiliuzijue in your project. Codex loads it when a task matches its description.
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 shiliuzijue -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shiliuzijue, .gemini/skills/shiliuzijue, .github/skills/shiliuzijue and .opencode/skills/shiliuzijue in your project.
SKILL.md names no scripts, command-line tools or credentials: Shiliuzijue is instructions for the agent only.
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.
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.
Shiliuzijue is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 951 tokens (SKILL.md is roughly 3.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Shiliuzijue: 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.
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.