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.
The Towerborne Backend，这一点在服务器推荐中也有详细论述
英國超市將巧克力鎖進防盜盒阻止「訂單式」偷竊。业内人士推荐51吃瓜作为进阶阅读
We fixed in issue where the window switcher could leave a non-interactive area on screen when closed, plus an issue where the 6th and 13th keypresses could be skipped while Alt + Tabing. We fixed a couple of issues with multitasking, including ones with fullscreen windows not properly being moved, animations when reordering workspaces, and missing icons in the show all windows view. Plus we fixed blurry picture-in-picture resize icons on fractionally scaled displays.，更多细节参见旺商聊官方下载