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.
穿脱衣服鞋子这件事，从2岁多开始她就喜欢自己穿了，主要是告诉她前后、正反的概念以及如何分辨。，这一点在heLLoword翻译官方下载中也有详细论述
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Longer term, the bird's best chance for survival is to adapt to moult on shallow ice shelves. Fretwell has seen some groups begin to do this, although it may come with a cost to the penguins' breeding and feeding patterns.，这一点在一键获取谷歌浏览器下载中也有详细论述
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