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.
firmly establish the role of the computer in accounting, automate parts of the
Carnyces fascinated the Romans, who frequently depicted them as war trophies.，推荐阅读51吃瓜获取更多信息
（四）非法拦截或者强登、扒乘机动车、船舶、航空器以及其他交通工具，影响交通工具正常行驶的；
，这一点在搜狗输入法2026中也有详细论述
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（二）提供众测平台服务的，应当核验相关授权证明文件；