Anthropic’s prompt suggestions are simple, but you can’t give an LLM an open-ended question like that and expect the results you want! You, the user, are likely subconsciously picky, and there are always functional requirements that the agent won’t magically apply because it cannot read minds and behaves as a literal genie. My approach to prompting is to write the potentially-very-large individual prompt in its own Markdown file (which can be tracked in git), then tag the agent with that prompt and tell it to implement that Markdown file. Once the work is completed and manually reviewed, I manually commit the work to git, with the message referencing the specific prompt file so I have good internal tracking.
再后来，那条小巷的大多数人都搬走了。我们家是最先搬走的，把房子卖了，我在外地读了几年书，又到了教育资源更好的隔壁市。很久很久没再回到县城，我与当初的小伙伴失去了联系。有人搬去了市区，有人搬进了高楼，有人去了大城市，后来听说前院的阿姨去世了。
，这一点在heLLoword翻译官方下载中也有详细论述
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