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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第十五条 除合同另有约定外，抵押人应当对抵押船舶进行保险；未保险的，抵押权人有权对该船舶进行保险，保险费由抵押人负担。。体育直播是该领域的重要参考
第二，改革探亲假。打破“未婚一年一次、已婚四年一次”的限制，统一为每年至少一次，认定条件以“跨省就业”或“异地居住”为主，通过保障团聚时间来优化婚育预期与家庭型文旅消费。。业内人士推荐电影作为进阶阅读
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