怎麼填變量：[聯盟名稱] 寫你的項目或機構名，比如"長三角高校聯盟""某某供應鏈"；圖例類別換成你的實體類型，例如"總部、分公司、門店、合作方"；樞紐名稱寫最重要的 3～5 個主體，越短越好。示例圖是深色背景上的英文網絡圖：頂部標題，左上角四色圖例，右上角統計卡寫着 Nodes 36 / Edges 92 / Density 0.146，五個帶圖標的大圓形樞紐圍着中央的總節點，底部一排帶頭像圖標的顧問人名。示例圖是英文版，中文版標籤越多越容易出錯字。

常見問題與調整：

• 標籤重疊擠成一團：把節點數降到 20 左右，加"小節點只畫點不寫名字"。
• 看起來像隨機散點：要求"按類型分區，同類節點聚成一簇，樞紐之間用粗線連接"。
• 彙報 PPT 是淺色主題：把背景改成"米白色"，節點顏色改為"深藍、橙、灰"。
• 想突出某一個主體：加"[某節點]放在正中央，尺寸最大，周圍有光暈"。

適合：彙報封面、科普文章配圖、概念示意；不適合當作真實數據分析結果，圖裏的數字和連線不代表任何實際統計。

英文原版

Generate a sophisticated network graph visualization on a dark charcoal canvas showing collaborations across a fictional research consortium called ORBIT GRID. Use glowing node colors in teal, amber, coral, pale blue, and white, with fine connecting lines and clean labels. The composition should be balanced, readable, and intentionally designed rather than random. Include a title in crisp text reading "ORBIT GRID Collaboration Network" and a legend with "Institute", "Lab", "Project", and "Advisory". Show approximately 36 nodes, with larger hubs labeled "Helix Center", "Nova Lab", "Aster Institute", "Cinder Bio", and "Polar Systems". Add edge labels sparingly, such as "shared data", "joint grant", and "coauthor". Include a right-side stats card reading "Nodes 36", "Edges 92", and "Density 0.146". Emphasize clean hierarchy, accurate node-label placement, anti-overlap spacing, subtle depth, and crisp typography suited for a polished technical visualization generated by gpt-image-2.

改編自 wuyoscar/GPT-Image2-Skill 收錄的提示詞（倉庫整理），許可證 MIT（Copyright (c) 2026 Wuyoscar）。