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.
Медведев вышел в финал турнира в Дубае17:59
To be even cooler, try the Plan 9-like approach using the Eshell。关于这个话题，heLLoword翻译官方下载提供了深入分析
//添加插件 在文件顶部或 plugins 块内启用 Wire Gradle 插件。
，详情可参考爱思助手下载最新版本
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喜劇演員、脫口秀演員歐陽萬成也加入這個潮流，著唐裝樣式的外套稱大家也見識到了他「很中國化的一個時期」，因為自己使用針灸且飲茶。