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.
on the tool may lead to a lack of understanding of the apps，推荐阅读51吃瓜获取更多信息
Овечкин продлил безголевую серию в составе Вашингтона09:40。WPS下载最新地址是该领域的重要参考
Police in Western Australia have charged a 20-year-old man with preparing a terrorist attack, with Anthony Albanese describing the allegation as “deeply shocking”.
Storage Nightmare: A CH car profile for a region can be massive (e.g., OSRM's Europe is tens of GBs, their global car profile around 200GB for just one profile). Our goal was to keep all profiles and parameters for the entire planet well under 20GB.