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.
（四）本社区三分之一以上居民代表或者十分之一以上的居民要求审计的其他事项。。safew官方版本下载对此有专业解读
Maggie 姐孤独地在水车屋吃铁板烧。夜总会的衰落也使这里的生意一落千丈，人满为患的场景已不再（图：南方人物周刊记者 方迎忠），详情可参考搜狗输入法2026
Nuclear power stations get hot. That is the plan. Pressurised steam drives turbines to generate electricity. To cool that steam and return it to the boilers, vast amounts of seawater are needed.
Everything included in the Personal