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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习近平总书记深情地说：“衡量干部业绩好不好，关键要看老百姓口碑好不好。各级领导干部要向谷文昌同志学习，树牢正确政绩观，为官一任、造福一方，真抓实干、久久为功，把丰碑立在人民群众心中。”