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毛选Skill升级版:毛选长征机把《毛泽东选集》五卷的方法论提炼为一套可运行的对话协议:调查前置、矛盾重构、持久战略、苏格拉底式反问。它不给通用建议,它帮你把情况搞实,找到真正的主要矛盾,然后一起想清楚。

13
1
100% credibility
Found Apr 23, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A visually striking web application styled as a cyberpunk terminal for chatting with an AI assistant themed around Mao Zedong's writings to provide dialectical problem-solving guidance.

How It Works

1
🌐 Discover the retro terminal

You stumble upon this striking black screen with glowing green text and red accents, like a scene from a sci-fi hacker movie.

2
📖 Explore the thinking machine

Scroll down to read about a smart helper built on classic wisdom, using 12 proven ways to analyze problems and find real solutions.

3
🔑 Link your smart assistant

Enter a private passcode once to connect a thinking service, so the machine can respond with deep insights just for you.

4
💻 Launch the chat terminal

Hit the big red button to open the pulsing green command line, feeling like you're activating a powerful system.

5
💬 Start asking real questions

Type in your situation or dilemma, and watch the AI probe with smart questions to understand your true challenges first.

🎯 Gain crystal-clear strategies

Through thoughtful back-and-forth, you uncover hidden contradictions and walk away with battle-tested paths forward.

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Star Growth

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AI-Generated Review

What is Maoxuan-Changzheng?

Maoxuan-Changzheng is a TypeScript web app that turns Mao Zedong's Selected Works into a structured AI chat protocol for problem-solving. It guides users through investigation-first dialogues, contradiction analysis, long-term strategies, and Socratic questioning to pinpoint core issues without vague advice. Built with React, Vite, and Tailwind, it delivers a sleek, dark-mode chat interface you deploy as a GitHub skill repo for agents like Claude or Copilot.

Why is it gaining traction?

Unlike generic chatbots spitting out quick fixes, this enforces a rigorous "changzheng" methodology—making situations concrete and exposing main contradictions—which resonates in GitHub skill marketplaces craving depth. Developers dig the antigravity skill vibe: plug it into Anthropic Claude, GitHub Copilot, or OpenClaw agents for repeatable, battle-tested reasoning flows. The polished UI and system prompt make it instantly usable from any skill GitHub directory.

Who should use this?

Strategy-minded devs debugging complex systems, product leads dissecting user problems, or analysts modeling business contradictions will find it sharp. Ideal for teams integrating AI into decision workflows via GitHub skill agents, especially if you're tired of fluffy LLM outputs and want Mao-inspired persistence in tools like Copilot.

Verdict

Grab it for experimental prompts in your GitHub skill directory—solid TypeScript execution despite 13 stars and 1.0% credibility signaling early maturity. Polish docs and add tests to boost adoption; it's a clever niche tool worth forking now.

(187 words)

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