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.
据《中国地中海贫血蓝皮书》（2020），“地中海贫血”是一种遗传性血液疾病，因曾高发于地中海沿岸国家而得名，在我国主要分布于长江以南的广东、广西、海南、福建、云南、贵州、四川、湖南、江西、重庆10个省（自治区、直辖市）。
，这一点在搜狗输入法2026中也有详细论述
// === DEFAULT READER PATH ===
Цены на нефть взлетели до максимума за полгода17:55
。谷歌浏览器【最新下载地址】对此有专业解读
"We're basically turning history into habitat, and as far as we know, no-one has attempted anything quite like this before."，更多细节参见一键获取谷歌浏览器下载
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