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MoonHub Learning System - Chinese Examples

This document demonstrates usage examples for the MoonHub learning system's Chinese language support.

Positive Feedback Examples

Simple Agreement

User: 嗯好的 AI: Identified as positive feedback ✓ User: 行 AI: Identified as positive feedback ✓ User: 可以 AI: Identified as positive feedback ✓ User: 没问题 AI: Identified as positive feedback ✓

Gratitude Expressions

User: 谢谢 AI: Identified as positive feedback ✓ User: 感谢 AI: Identified as positive feedback ✓ User: 辛苦了 AI: Identified as positive feedback ✓

Confirmation

User: 对 AI: Identified as positive feedback ✓ User: 是的 AI: Identified as positive feedback ✓ User: 没错 AI: Identified as positive feedback ✓ User: 正是 AI: Identified as positive feedback ✓

Satisfaction

User: 饭谱 AI: Identified as positive feedback ✓ User: 稳 AI: Identified as positive feedback ✓ User: 到位 AI: Identified as positive feedback ✓ User: 舒服 AI: Identified as positive feedback ✓ User: 顺滑 AI: Identified as positive feedback ✓

Colloquial

User: 太棒了 AI: Identified as positive feedback ✓ User: 太牛了 AI: Identified as positive feedback ✓ User: 给力 AI: Identified as positive feedback ✓ User: 666 AI: Identified as positive feedback ✓ User: 绝了 AI: Identified as positive feedback ✓

Brief Affirmation

User: 嗯 AI: Identified as positive feedback ✓ User: 嗯嗯 AI: Identified as positive feedback ✓ User: 嗯呐 AI: Identified as positive feedback ✓ User: 昂 AI: Identified as positive feedback ✓

Negative Feedback Examples

Polite Rejection

User: 不太对 AI: Identified as negative feedback ⚠ User: 不太行 AI: Identified as negative feedback ⚠ User: 差点意思 AI: Identified as negative feedback ⚠ User: 差点火候 AI: Identified as negative feedback ⚠

Neutral-to-Negative

User: 一般 AI: Identified as negative feedback ⚠ User: 还行吧 AI: Identified as negative feedback ⚠ User: 马马虎虎 AI: Identified as negative feedback ⚠ User: 凑合 AI: Identified as negative feedback ⚠

Ineffective Expression

User: 没帮上忙 AI: Identified as negative feedback ⚠ User: 没解决 AI: Identified as negative feedback ⚠ User: 还是有问题 AI: Identified as negative feedback ⚠

Strong Negation

User: 不好 AI: Identified as negative feedback ⚠ User: 太差 AI: Identified as negative feedback ⚠ User: 垃圾 AI: Identified as negative feedback ⚠

Correction/Preference Examples

Clarifying Intent

User: 其实... AI: Identified as correction signal 🔄 User: 实际上... AI: Identified as correction signal 🔄 User: 说真的... AI: Identified as correction signal 🔄

Correcting Intent

User: 我的意思是... AI: Identified as correction signal 🔄 User: 我不是说... AI: Identified as correction signal 🔄 User: 我是说... AI: Identified as correction signal 🔄

Expressing Preference

User: 我更喜欢... AI: Identified as preference signal 💡 User: 我希望... AI: Identified as preference signal 💡 User: 我想要... AI: Identified as preference signal 💡 User: 我倾向于... AI: Identified as preference signal 💡

Future Instruction

User: 下次记得... AI: Identified as preference signal 💡 User: 以后记得... AI: Identified as preference signal 💡 User: 之后... AI: Identified as preference signal 💡

Prohibition

User: 不要... AI: Identified as disable signal 🚫 User: 别... AI: Identified as disable signal 🚫 User: 不用... AI: Identified as disable signal 🚫

Workflow Preference Examples

Frequency

User: 每次修改代码前都先运行测试 AI: Identified as workflow preference 💾 User: 总是先检查语法 AI: Identified as workflow preference 💾

Timing

User: 当部署时,自动运行测试 AI: Identified as workflow preference 💾 User: 在提交之前先拉取代码 AI: Identified as workflow preference 💾

Sequence

User: 先分析需求,再写代码 AI: Identified as workflow preference 💾 User: 先运行测试,再提交 AI: Identified as workflow preference 💯

Tool Preference Examples

Replacement

User: 用 pytest 代替 unittest AI: Identified as tool replacement preference 💡 User: 换成 ESLint AI: Identified as tool replacement preference 💡

Disable

User: 不要用 bash AI: Identified as tool disable preference 🚫 User: 别用 Python 2 AI: Identified as tool disable preference 🚫

Priority

User: 优先使用 TypeScript AI: Identified as tool priority preference 💯

Mixed Chinese-English Examples

User: 太棒了, perfect! AI: Identified as positive feedback ✅ User: 不对, please fix it AI: Identified as negative feedback + needs fix ⚠️ User: 好的, 继续用 Python AI: Identified as positive feedback + preference signal ✅ User: 下次记得 check 边界情况 AI: Identified as workflow preference 💾