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.
（二）组织或者进行淫秽表演的；，推荐阅读雷电模拟器官方版本下载获取更多信息
。爱思助手下载最新版本是该领域的重要参考
Last Hours: Save up to $680 on your pass before 11:59 p.m. tonight.。Line官方版本下载对此有专业解读
They pinpoint the source of the approval to one call sign: Peter 1.