# Export as CSV
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.
，这一点在搜狗输入法下载中也有详细论述
copy(tasks2, tasks)
Москвичи пожаловались на зловонную квартиру-свалку с телами животных и тараканами18:04
。同城约会对此有专业解读
但压力也十分显著。公司管理层在财报后的业绩电话会上坦言，中国市场正面临消费理性化、行业内卷、成本高企与单店效率考验等多重压力。。关于这个话题，safew官方版本下载提供了深入分析
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