一个系统总览图提示词:三层水平带,一图看懂复杂系统
来源:GitHub 仓库 XYD-GIS/paper-toolkits 文件约 92 行,约 5.93 KB
一个系统总览图提示词。
它解决的是:复杂系统——多个子模块、多个数据源、训练与推理并存,要让读者一图看懂整个系统的层次。
它的结构:
- 顶层带 "Data Layer":2-3 个圆角矩形,软蓝填充(#D6E4F0)
- 中层带 "Model Layer":3-5 个圆角矩形,软绿填充(#D8E8D0),箭头从顶层指向中层
- 底层带 "Application Layer":2-3 个圆角矩形,软橙填充(#F5E0CB),箭头从中层指向底层
- 右侧边缘:垂直反馈回路箭头,从底层回到顶层,标注 "Feedback / Online Update"
- 顶部中央:加粗 Arial 标题
- 风格:扁平矢量、白底、论文级图审美、Arial、16:9 或 4:3
- 负向约束:不要照片、不要 3D 阴影、不要投影、不要卡通、不要 emoji、不要 logo、不要过饱和颜色
填空示例(典型 ML 系统):
- 领域 = machine learning system
- 数据源列表 = Raw Sensors, Curated Dataset, External Knowledge Base
- 模型组件列表 = Encoder, Decoder, Attention Module, Memory
- 任务列表 = Classification, Generation, Retrieval
- 系统名 = System Overview
调优提示:
- 不止 3 层 → 可以扩展到 4 层(Data / Preprocessing / Model / Application)
- 某一层内部要细分 → 在该 BAND 描述下加说明
- 无反馈回路 → 删除对应段落
- 想强调跨层连接 → 在 prompt 末尾加说明
适合谁:
- 写论文要画系统总览图的科研小组成员
- 系统复杂、多组件、多数据源的人
- 想要论文级图审美的人
用法: 把这段提示词复制到 AI 工具里,把占位符填上就行。
提示词
A high-level system overview diagram for an academic paper, showing all major components of a complex {领域,如 machine learning system}. The diagram is organized into THREE horizontal bands separated by faint gray dashed lines:
TOP BAND — "Data Layer":
- 2-3 rounded rectangles representing data sources (e.g., {数据源列表,如 "Raw Sensors, Curated Dataset, External Knowledge Base"}).
- Soft blue palette (#D6E4F0).
MIDDLE BAND — "Model Layer":
- 3-5 rounded rectangles representing model components (e.g., {模型组件列表,如 "Encoder, Decoder, Attention Module, Memory"}).
- Soft green palette (#D8E8D0).
- Arrows connect TOP BAND nodes down into MIDDLE BAND.
BOTTOM BAND — "Application Layer":
- 2-3 rounded rectangles representing downstream tasks (e.g., {任务列表,如 "Classification, Generation, Retrieval"}).
- Soft orange palette (#F5E0CB).
- Arrows connect MIDDLE BAND nodes down into BOTTOM BAND.
ON THE RIGHT EDGE, place a vertical "feedback loop" arrow: a thin curved arrow going from BOTTOM BAND back up to TOP BAND, labeled "Feedback / Online Update" in italic.
At the top center, place the title in bold Arial: "{系统名}"
Style: flat vector, white background, paper-quality figure aesthetic, Arial sans-serif. Aspect ratio 16:9 or 4:3.
Negative constraints: NO photorealistic, NO 3D shading, NO drop shadows, NO cartoon, NO emoji, NO logos, NO over-saturated colors.
# 填空示例
{领域} = machine learning system
{数据源列表} = Raw Sensors, Curated Dataset, External Knowledge Base
{模型组件列表} = Encoder, Decoder, Attention Module, Memory
{任务列表} = Classification, Generation, Retrieval
{系统名} = System Overview评论 0
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