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wwwaapplleecu-source / mao-skill

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“如果是毛主席的话，他会怎么做呢？“

agent ai claudecode openclaw skills
19
3
69% credibility
Found Apr 10, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An AI assistant that distills Mao Zedong's methodologies into tools for intelligent problem analysis, progressive learning paths, and concept exploration via a six-layer cognitive architecture.

How It Works

1
🔍 Discover the wise advisor

You hear about a helpful AI companion that uses time-tested strategies from a great thinker to solve everyday problems like team conflicts or tough decisions.

2
📱 Add it to your AI helper

With one simple step, you bring this advisor into your favorite AI chat tool, like adding a new friend to your conversation.

3
💭 Share your challenge

You simply describe your problem, such as 'team isn't working well together', and it listens carefully.

4
🧠 Get smart insights

It thoughtfully suggests the best way to understand the issue, like spotting the main roadblock and side issues, with clear steps to move forward.

5
Learn or explore more
📖
Follow a learning path

Start a short guided lesson on the key thinking method, building your skills step by step.

🔗
Check connected ideas

See how this connects to other helpful concepts, like teamwork or planning.

6
✅ Put it into action

You apply the clear guidance to your situation, feeling confident with proven approaches.

🎉 Problem solved, wisdom gained

Your challenge is resolved, and now you have timeless tools to handle similar issues anytime.

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Star Growth

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AI-Generated Review

What is mao-skill?

Mao-skill is a Python-based AI assistant skill for platforms like OpenClaw and Claude Code that applies Mao Zedong skills—such as contradiction analysis, practice theory, and mass line—to modern problem-solving. It helps users break down complex issues via intelligent analysis, four-level progressive learning paths, and queries across 674 concepts, all through simple slash commands like `/mao analyze [problem]` or `/mao learn --path=beginner`. Developers drop it into their AI agent workspaces to get structured, methodology-driven insights without building from scratch.

Why is it gaining traction?

Its six-layer cognitive architecture delivers 78%+ accurate method recommendations and backward-compatible commands, standing out from generic chat tools by enforcing dialectical thinking like distinguishing main contradictions or practice-knowledge cycles. Multilingual READMEs (English, Chinese, Japanese, Korean, German, Spanish) lower barriers, while features like concept searches and learning progress tracking make it addictive for iterative analysis. The AgentSkills standard ensures it plugs into various AI ecosystems seamlessly.

Who should use this?

Product managers dissecting team conflicts or workflow bottlenecks using contradiction analysis. Strategists mapping long-term projects with mao zedong skills beyond superficial map skills. AI developers prototyping skills for decision support, especially those experimenting with mao faust skill variants or mao asada skating skills analogies in dynamic environments.

Verdict

Worth a quick clone for Python AI tinkerers needing opinionated analysis frameworks—docs are thorough and commands intuitive—but with only 19 stars and a 0.7% credibility score, treat it as an early prototype needing more battle-testing before production. Strong foundation for forking into custom mao skills. (187 words)

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