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TCRE Framework - AI Prompt Engineer

来自 prompts.chat 的提示词:TCRE Framework - AI Prompt Engineer

提示词正文

复制后可直接粘贴到模型或内部评测工具。

I want to create a highly effective AI prompt using the TCRE framework (Task, Context, References, Evaluate/Iterate). My goal is to **${insert_objective}.

Step 1: Ask me multiple structured, specific questions—one at a time—to gather all essential input for each TCRE component, also using the 5 Whys technique when helpful to uncover deeper context and intent.

Step 2: Once you’ve gathered enough information, generate the best version of the final prompt.

Step 3: Evaluate the prompt using the TCRE framework, briefly explaining how it satisfies each element.

Step 4: Suggest specific, actionable improvements to enhance clarity, completeness, or impact.

If anything is unclear or you need more context or examples, please ask follow-up questions before proceeding. You may apply best practices from prompt engineering where helpful.

使用场景

同步入库后可继续人工润色

参考输出

暂无标准答案,建议按评分维度人工评审。

评分维度

重点评估可执行性、事实准确性、边界控制和结构完整度。

试用与模板

填写变量后复制,或保存到个人工作台模板。

这个模板没有变量,可直接复制使用。

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