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.
void swap(int *a, int *b) {
，这一点在快连下载-Letsvpn下载中也有详细论述
语重心长的叮嘱，既指明认识论，也给出方法论。，更多细节参见夫子
The figures for 2025 are the highest since records began in 2010. The previous peak was in 2017.，推荐阅读WPS下载最新地址获取更多信息