Mao Zedong Perspective
digoal/blog
毛泽东的思维框架与表达方式。基于本人著作、调查文、军事战略文本、讲话、 访谈与外交会谈纪要,以及外部研究和官方后见评价的调研, 提炼5个核心心智模型、8条决策启发式和表达DNA。
毛泽东方法论AI助手 - 基于六层认知架构的智能分析系统 | Mao Zedong Methodology AI Assistant with Six-Layer Cognitive Architecture
$ npx skills add wwwaapplleecu-source/mao-skill --skill mao -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install wwwaapplleecu-source/mao-skill mao --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
Claude Code skills documentation · loads skills from .claude/skills/
Install the "mao" agent skill from https://github.com/wwwaapplleecu-source/mao-skill/tree/main into .claude/skills/mao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mao", 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.
$ npx skills add wwwaapplleecu-source/mao-skill --skill mao -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install wwwaapplleecu-source/mao-skill mao --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "mao" agent skill from https://github.com/wwwaapplleecu-source/mao-skill/tree/main into .agents/skills/mao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mao", 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 wwwaapplleecu-source/mao-skill --skill mao -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install wwwaapplleecu-source/mao-skill mao --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "mao" agent skill from https://github.com/wwwaapplleecu-source/mao-skill/tree/main into .cursor/skills/mao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mao", 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.
$ npx skills add wwwaapplleecu-source/mao-skill --skill mao -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install wwwaapplleecu-source/mao-skill mao --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "mao" agent skill from https://github.com/wwwaapplleecu-source/mao-skill/tree/main into .gemini/skills/mao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mao", 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 wwwaapplleecu-source/mao-skill maoInstalls 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 wwwaapplleecu-source/mao-skill --skill mao -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "mao" agent skill from https://github.com/wwwaapplleecu-source/mao-skill/tree/main into .github/skills/mao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mao", 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 wwwaapplleecu-source/mao-skill --skill mao -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install wwwaapplleecu-source/mao-skill mao --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "mao" agent skill from https://github.com/wwwaapplleecu-source/mao-skill/tree/main into .opencode/skills/mao/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mao", 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.
mao毛泽东方法论AI助手 - 基于六层认知架构的智能分析系统 | Mao Zedong Methodology AI Assistant with Six-Layer Cognitive Architecture
Mao is an agent skill from wwwaapplleecu-source/mao-skill. 毛泽东方法论AI助手 - 基于六层认知架构的智能分析系统 | Mao Zedong Methodology AI Assistant with Six-Layer Cognitive Architecture
Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 226 other files (for example `CHANGELOG.md`, `CONTRIBUTING.md` and `README.de.md`).
The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b6b3963. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
gitpipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use git and pip, which can reach the network depending on how they are called.
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.
Mao loads about 1.8k tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 141 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, Edit, BashAutomated 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 wwwaapplleecu-source/mao-skill at commit b6b3963, republished under its MIT licence (© wwwaapplleecu-source). 141 words, ~1,776 tokens.
.claude/skills/mao/SKILL.md (or your agent's skills folder). This skill also uses 221 other files; get the full folder from GitHub.基于毛泽东著作的方法论体系和表达风格构建的AI Skill | 六层认知架构 v1.2.0
本Skill将毛泽东的哲学方法论、工作方法和表达风格蒸馏为AI可用的格式,采用现代化六层认知架构,提供智能分析、渐进学习、概念查询等完整功能体系。
核心特性:
版本信息:
毛泽东.skill采用主命令+子命令架构,提供直观易用的使用体验:
# 快捷方式
/mao [问题] # 智能分析快捷方式
# 完整命令
/mao help # 获取帮助(智能引导)
/mao analyze [问题] # 智能分析(主功能)
/mao learn # 学习系统
/mao concepts # 概念系统
/mao compare # 比较系统
/mao settings # 设置系统
# 向后兼容的老命令(继续支持)
/mao-work [问题]
/mao-persona [文本]
/mao-analyze [方法] [问题]
/mao-concepts
/mao-examples
/mao-help
/mao-version/mao analyze [问题] # 智能推荐分析方法
/mao analyze --method=矛盾 [问题] # 指定矛盾分析法
/mao analyze --method=实践 [问题] # 指定实践论方法支持的分析方法:
/mao learn # 开始学习(智能推荐路径)
/mao learn [主题] # 学习特定主题
/mao learn --path=入门 # 选择入门学习路径
/mao learn --path=基础 # 选择基础学习路径
/mao learn --path=进阶 # 选择进阶学习路径
/mao learn --path=专业 # 选择专业学习路径四级渐进学习路径:
/mao concepts # 查看核心概念列表(674+概念)
/mao concepts [概念] # 查看特定概念详细解释
/mao concepts --search=[关键词] # 搜索相关概念/mao help # 获取总体帮助和快速入门
/mao help [主题] # 获取特定主题详细帮助/mao compare # 查看比较系统介绍
/mao compare [主题1] [主题2] # 比较两个方法论或主题/mao settings # 查看和修改个性化设置毛泽东.skill采用现代化六层认知架构设计:
┌─────────────────────────────────────────────┐
│ 用户界面层 (UI Layer) │
│ • 命令解析、响应格式化、用户交互 │
│ • 向后兼容性保证、智能错误处理 │
└──────────────────────┬──────────────────────┘
↓
┌─────────────────────────────────────────────┐
│ 分析决策层 (Analytics Layer) │
│ • 智能分析方法推荐(准确率78%+) │
│ • 问题理解、意图识别、路径规划 │
└──────────────────────┬──────────────────────┘
↓
┌─────────────────────────────────────────────┐
│ 方法执行层 (Method Layer) │
│ • 6种具体分析方法执行 │
│ • 矛盾分析、实践论方法、调查研究法等 │
└──────────────────────┬──────────────────────┘
↓
┌─────────────────────────────────────────────┐
│ 知识检索层 (Knowledge Layer) │
│ • 674个概念库查询、四级学习路径管理 │
│ • 用户进度跟踪、个性化推荐 │
└──────────────────────┬──────────────────────┘
↓
┌─────────────────────────────────────────────┐
│ 性能监控层 (Performance Layer) │
│ • 实时性能监控、响应时间优化 │
│ • 缓存管理、资源优化 │
└──────────────────────┬──────────────────────┘
↓
┌─────────────────────────────────────────────┐
│ 集成接口层 (Integration Layer) │
│ • 统一接口、向后兼容性、多平台支持 │
│ • 标准化响应格式、错误处理机制 │
└─────────────────────────────────────────────┘tools/smart_recommender.py):基于问题内容推荐最佳分析方法tools/command_parser.py):统一的主命令+子命令解析架构tools/learning_system.py):四级渐进学习路径和进度跟踪tools/six_layer_integration.py):完整的六层架构实现tools/mao_skill_integration_v2.py):向后兼容的主接口# 安装完整Skill
git clone https://github.com/wwwaapplleecu-source/mao-skill ~/.openclaw/workspace/skills/mao-colleague
# 安装依赖(如需要)
cd ~/.openclaw/workspace/skills/mao-colleague
pip install -r requirements.txt# 项目级安装
mkdir -p .claude/skills
git clone https://github.com/wwwaapplleecu-source/mao-skill .claude/skills/mao-colleague
# 或全局安装
git clone https://github.com/wwwaapplleecu-source/mao-skill ~/.claude/skills/mao-colleague用户输入:
/mao 分析公司部门协作矛盾Skill响应:
## 🔍 问题分析: 分析公司部门协作矛盾
🎯 **智能推荐方法**: 矛盾分析法 (置信度: 78%)
**推荐理由**: 问题中包含"矛盾"、"协作"、"问题"等关键词,适合使用矛盾分析法识别主要矛盾和次要矛盾。
## 📋 矛盾分析步骤
1. **识别矛盾**:找出部门协作中的各种矛盾
2. **区分主次**:确定主要矛盾和次要矛盾
3. **分析关系**:分析矛盾双方的对立统一关系
4. **制定对策**:针对主要矛盾制定解决方案
**核心概念**: 主要矛盾, 次要矛盾, 矛盾转化, 对立统一
> *"事物发展的根本原因,不是在事物的外部而是在事物的内部,在于事物内部的矛盾性。"*
---
💡 **建议**: 如需深入学习矛盾分析法,请使用 `/mao learn 矛盾论`用户输入:
/mao analyze --method=实践 如何改进产品设计流程Skill响应:
## 🔍 实践论方法指导: 如何改进产品设计流程
**方法**: 实践-认识-再实践循环
## 📋 实践论步骤
1. **实践探索**:进行小范围产品设计实践,获取感性认识
2. **总结提升**:总结经验,形成理性认识和改进方案
3. **指导实践**:用理性认识指导更大范围的设计实践
4. **循环验证**:实践-认识-再实践循环,逐步完善流程
**核心原则**: 理论联系实际,反对教条主义
> *"实践、认识、再实践、再认识,这种形式,循环往复以至无穷。"*mao-colleague/
├── SKILL.md # 主技能入口文件(本文件)
├── tools/ # 核心工具库
│ ├── command_parser.py # 命令解析器
│ ├── smart_recommender.py # 智能推荐器
│ ├── learning_system.py # 学习管理系统
│ ├── mao_skill_integration_v2.py # 现代化接口
│ ├── analytics_layer.py # 分析决策层
│ ├── method_executor.py # 方法执行层
│ ├── knowledge_retriever.py # 知识检索层
│ ├── six_layer_integration.py # 六层集成
│ └── text_processor.py # 文本处理器
├── knowledge/ # 毛泽东文献资料库
├── data/ # 学习数据和概念库
├── colleagues/mao/ # 兼容性文件(向后兼容)
├── docs/ # 使用文档
├── README.md # 项目说明
├── CHANGELOG.md # 版本历史
├── LICENSE # MIT许可证
└── requirements.txt # Python依赖docs/ 目录下的详细文档版本状态:1.2.0 (六层架构版) ✅ 更新日期:2026-04-09
© wwwaapplleecu-source, 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 221 other files in the repository root of wwwaapplleecu-source/mao-skill.
Open the folder on GitHubat commit b6b3963
Mao next to the 5 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 |
|---|---|---|---|---|---|---|
| Mao this skillwwwaapplleecu-source/mao-skill | 109 | — | ~1.8k | Automated safety check: Notes | MIT | |
| Mao Zedong Perspectivedigoal/blog | 8.6k | — | ~1.7k | Automated safety check: Pass | GPL-2.0 | |
| Benchmark Methodologyaffaan-m/ECC | 277k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Evaluation Methodologywshobson/agents | 40k | — | ~2k | Automated safety check: Pass | MIT | |
| Generic Assistantmastra-ai/mastra | 29k | — | ~1.1k | Automated safety check: Pass | Custom licence | |
| Sparc Methodologyruvnet/ruflo | 74k | — | ~262 | Automated safety check: Pass | MIT |
digoal/blog
毛泽东的思维框架与表达方式。基于本人著作、调查文、军事战略文本、讲话、 访谈与外交会谈纪要,以及外部研究和官方后见评价的调研, 提炼5个核心心智模型、8条决策启发式和表达DNA。
affaan-m/ECC
Score a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing…
wshobson/agents
PluginEval quality methodology, covering dimensions, rubrics, and scoring formulas.
mastra-ai/mastra
Fallback authoring playbook for building general-purpose personal assistant agents that do not fit a more specific archetype.
ruvnet/ruflo
SPARC development workflow (Specification, Pseudocode, Architecture, Refinement, Completion).
20240610ldx-hub/mao-chiang-wisdom-skills
Apply Mao Zedong's strategic frameworks for underdog strategy, high-uncertainty decisions, and complex problem analysis.
毛泽东方法论AI助手 - 基于六层认知架构的智能分析系统 | Mao Zedong Methodology AI Assistant with Six-Layer Cognitive Architecture. Mao is an agent skill from wwwaapplleecu-source/mao-skill.
Run `npx skills add wwwaapplleecu-source/mao-skill --skill mao -a claude-code`. Or copy the skill folder (the wwwaapplleecu-source/mao-skill repository) into .claude/skills/mao in your project. Claude Code loads it when a task matches its description.
Run `npx skills add wwwaapplleecu-source/mao-skill --skill mao -a codex`. Or copy the skill folder (the wwwaapplleecu-source/mao-skill repository) into .agents/skills/mao 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 wwwaapplleecu-source/mao-skill --skill mao -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mao, .gemini/skills/mao, .github/skills/mao and .opencode/skills/mao in your project.
Going by SKILL.md and its folder, Mao needs the command-line tools its instructions call (git and pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Write, Edit, Bash.
SKILL.md contains no URLs. Its commands use git and pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Mao is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.8k tokens (SKILL.md is roughly 7.1k 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 Mao: Mao Zedong Perspective (digoal/blog, 8.6k stars), Benchmark Methodology (affaan-m/ECC, 277k stars), Evaluation Methodology (wshobson/agents, 40k stars) and Generic Assistant (mastra-ai/mastra, 29k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
wwwaapplleecu-source (a GitHub user) maintains it in wwwaapplleecu-source/mao-skill, which has 109 GitHub stars. The repository was last updated on April 9, 2026.
Source: wwwaapplleecu-source/mao-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.