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.
（一）政府性基金或者行政事业性收费；
。业内人士推荐搜狗输入法下载作为进阶阅读
在社交媒体上热衷于分享生活、分享爱用品的年轻人和美妆博主们，变得极少提及完美日记。即便是一个国货扎堆的化妆包“翻包”视频里，也难见完美日记这个曾经顶流的身影。。业内人士推荐爱思助手下载最新版本作为进阶阅读
https://feedx.site，这一点在搜狗输入法2026中也有详细论述