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.
// Flush: finalize compression。业内人士推荐WPS官方版本下载作为进阶阅读
，更多细节参见服务器推荐
Research capabilities
Wide variety of templates to fit multiple uses。im钱包官方下载对此有专业解读
完美日记的崛起与衰落，其实与中国互联网流量红利的兴衰周期高度贴合。不夸张地说，完美日记是美妆产品流量打法的最佳受益者，却也是流量退潮后最典型的受伤者。