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.
细观蜡梅，花瓣层叠，错位交叉，以花蕊为核心，紧紧簇拥在一起。花瓣厚实，直至凋谢都不会褪色；常于枯枝绽放，不借绿叶衬托，枯萎后也常留枝头。这种坚韧的品性，恰如宜昌这座城市，愈是危难困境，愈是凌霜傲雪，勇毅绽放。
。关于这个话题，搜狗输入法2026提供了深入分析
«А у нас есть»Россия первой в мире создала гиперзвуковые ракеты. На что они способны?5 октября 2022。搜狗输入法2026是该领域的重要参考
Последние новости，这一点在51吃瓜中也有详细论述
“No one wants to read a 7-inch-long unformatted message when an organized attachment would have worked better,” the American etiquette experts at The Emily Post Institute, advised in a blog post on business communications.