古胥河畔，南京高淳“东坝大马灯”的表演好不热闹。7个娃娃身骑“竹马”，扮上花脸，衣着戏袍：绿衣是关羽，黑脸的是张飞，骑白马的是赵云……7匹“竹马”之下，各有两名成年人默契配合，前一人戴道具扮马头，后一人屈身披锦作马身，演绎战马的静立和奔腾。令旗所指，摆出三角阵、四角阵、梅花阵……
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.
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