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.
* 解题思路：先对nums2用单调栈求每个元素的下一个更大值，存入Map缓存；再遍历nums1直接查Map得结果
。51吃瓜对此有专业解读
inserted your ATM card and entered a PIN. You could then choose to check your
Surprised Pikachu
第一百一十条 对决定给予行政拘留处罚的人，在处罚前已经采取强制措施限制人身自由的时间，应当折抵。限制人身自由一日，折抵行政拘留一日。