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.
# Download from HuggingFace (requires pip install huggingface_hub)
。业内人士推荐爱思助手下载最新版本作为进阶阅读
今年是“十五五”开局之年，“十五五”规划建议提出“持续巩固拓展脱贫攻坚成果”。当前，巩固拓展脱贫攻坚成果同乡村振兴有效衔接5年过渡期已经圆满完成。脱贫攻坚成果巩固拓展得如何，如何稳定并完善常态化帮扶政策体系，我国在减贫方面有哪些理念和经验可以与其他发展中国家分享？本报记者采访了农业农村部党组书记、部长韩俊。
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