上一篇介绍了使用元提示(meta-prompt)，基于你的idea创建高效提示词的方法。元提示还有一个版本，是修改已经存在的提示词，并尽可能保留提示词中的关键信息，例如：你预设的一些参数符号等，这样可以尽可能减少修改后的提示词对已有系统集成的影响。
分析元提示的内容，你可以看到里面有一个神奇的小标签——
<reasoning>
- Simple Change: (yes/no) Is the change description explicit and simple? (If so, skip the rest of these questions.)
- Reasoning: (yes/no) Does the current prompt use reasoning, analysis, or chain of thought?
- Identify: (max 10 words) if so, which section(s) utilize reasoning?
- Conclusion: (yes/no) is the chain of thought used to determine a conclusion?
- Ordering: (before/after) is the chain of though located before or after
- Structure: (yes/no) does the input prompt have a well defined structure
- Examples: (yes/no) does the input prompt have few-shot examples
- Representative: (1-5) if present, how representative are the examples?
- Complexity: (1-5) how complex is the input prompt?
- Task: (1-5) how complex is the implied task?
- Necessity: ()
- Specificity: (1-5) how detailed and specific is the prompt? (not to be confused with length)
- Prioritization: (list) what 1-3 categories are the MOST important to address.
- Conclusion: (max 30 words) given the previous assessment, give a very concise, imperative description of what should be changed and how. this does not have to adhere strictly to only the categories listed
</reasoning>
通过这个标签，你的本地模型（Phi，Llama，Mistral等）秒变推理模型（OpenAI O3/Deepseek R1）。看一下下面的视频吧。 —
