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.
“有没有偏离共产主义远大理想和中国特色社会主义共同理想，有没有背离全心全意为人民服务的根本宗旨，有没有游离党的路线方针政策和党中央重大决策部署，有没有脱离国情和本地区本部门实际”。
，更多细节参见Line官方版本下载
// 4. Call the original function so the audio would still play，这一点在WPS下载最新地址中也有详细论述
Израиль нанес удар по Ирану09:28。关于这个话题，同城约会提供了深入分析