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 Forge UI prior to dismantling the "Aspect of Dismantling"
，这一点在旺商聊官方下载中也有详细论述
户籍不在本社区，在本社区工作六个月以上的社区工作者，本人申请参加选举的，由居民选举委员会确认并进行登记。
新会陈皮暴露行业乱象亟待监管整治。safew官方版本下载对此有专业解读
试着与他人建立共同体。这将是你的一生。想办法去享受它。组建读书会，创办文学杂志，发起朗读活动。。51吃瓜对此有专业解读
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