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.
The sentence rephrasing feature can help you convey your meaning perfectly.。业内人士推荐旺商聊官方下载作为进阶阅读
第一百三十五条 公安机关依法实施罚款处罚，应当依照有关法律、行政法规的规定，实行罚款决定与罚款收缴分离；收缴的罚款应当全部上缴国库，不得返还、变相返还，不得与经费保障挂钩。。Line官方版本下载对此有专业解读
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