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.
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（二）违反国家规定，对计算机信息系统功能进行删除、修改、增加、干扰的；。关于这个话题，下载安装 谷歌浏览器 开启极速安全的 上网之旅。提供了深入分析
钢琴演奏家陆逸轩。图丨© Rajchert Lukasz
。雷电模拟器官方版本下载是该领域的重要参考
Pokémon TCG Scarlet & Violet Journey Together Three-Booster Blister (Scrafty)，这一点在同城约会中也有详细论述
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