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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.
，更多细节参见Line官方版本下载
characters each, onto the middle of the card. The machines didn't actually punch
雖然特朗普確實能將斡旋以色列與哈馬斯停火歸功於自己，但說他「結束了八場戰爭」並不正確。
int n1 = mid - left; // 左子数组长度