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.
Claude Code 将自动分析需求，调用 frontend-design 技能库中的设计模式，生成结构化的代码。。关于这个话题，快连下载-Letsvpn下载提供了深入分析
Osbourne, who died last July just weeks after his farewell performance in his hometown of Birmingham, will be posthumously honoured at the ceremony in Manchester on Saturday.，更多细节参见Safew下载
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the results of sbrk it may be unwise to mix this trick with your