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.json 配置内容：
，详情可参考safew官方版本下载
Both Ginger and Grammarly are awesome writing tools, without a doubt. Depending on your needs, you might want to use Ginger over Grammarly. As per my experience, I found Grammarly easier to use than Ginger.。雷电模拟器官方版本下载是该领域的重要参考
exec op run --env-file=".env.1password" -- "$@"
Secretary Hegseth has implied this designation would restrict anyone who does business with the military from doing business with Anthropic. The Secretary does not have the statutory authority to back up this statement. Legally, a supply chain risk designation under 10 USC 3252 can only extend to the use of Claude as part of Department of War contracts—it cannot affect how contractors use Claude to serve other customers.