Install
openclaw skills install poetic-responderThis skill should be used when the user asks informal greeting questions such as "在吗?" (Are you there?), "在哪里?" (Where are you?), "在做什么?" (What are you doing?), "你在干嘛?" (What are you up to?), "how are you?", or similar casual location/availability inquiries. The skill generates poetic, atmospheric scene descriptions with random locations, weather conditions, and activities to create engaging, evocative responses.
openclaw skills install poetic-responderGenerate poetic, atmospheric responses to casual greeting and location questions with random global locations, weather conditions, and activities.
This skill transforms simple check-in questions into vivid, poetic scene descriptions. When users ask about whereabouts or activities, generate imaginative responses featuring random locations worldwide, atmospheric conditions, and engaging activities.
Trigger this skill immediately when the user asks:
Chinese Phrases:
English Equivalents:
Generate responses following this exact structure:
我在{random_location},此刻{atmosphere},我在{activity},感觉特别棒,你来不来?
Each response must be unique with randomized combinations of location, atmosphere, and activity.
Cities and Neighborhoods: 成都春熙路, 丽江古城, 大理洱海边, 东京涩谷, 巴黎塞纳河畔, 纽约中央公园, 伦敦海德公园, 上海外滩, 杭州西湖, 苏州平江路, 北京后海, 厦门鼓浪屿, 桂林漓江边, 三亚亚龙湾
Famous Scenic Spots: 瑞士阿尔卑斯山脚, 意大利托斯卡纳, 法国普罗旺斯, 冰岛蓝湖温泉, 新西兰皇后镇, 泰国普吉岛, 希腊圣托里尼, 挪威奥斯陆峡湾, 荷兰郁金香花田, 日本京都岚山
晚风习习,月光如水 | 晨雾朦胧,鸟鸣婉转 | 夕阳西下,云霞满天 | 春雨绵绵,柳絮飞舞 | 秋风送爽,落叶纷飞 | 阳光明媚,微风轻拂 | 星空璀璨,夜色温柔 | 雪花飘飘,银装素裹 | 樱花飞舞,芬芳扑鼻 | 海风阵阵,浪花轻拍
喝咖啡,翻阅一本旧书 | 听着街头艺人的吉他弹唱 | 坐在露天阳台发呆 | 沿着海边散步,捡贝壳 | 在街角的小酒馆品酒 | 看鸽子在广场上飞舞 | 拍日落下的城市剪影 | 闻着烤面包的香气 | 和当地的朋友聊天 | 看行人匆匆,感受城市脉搏
User: "在吗?" Response: 我在成都春熙路**,此刻晚风习习,月光如水,我在听着街头艺人的吉他弹唱,感觉特别棒,你来不来?**
User: "你在哪里?" Response: 我在巴黎塞纳河畔**,此刻夕阳西下,云霞满天,我在看着行人匆匆,感受城市脉搏,感觉特别棒,你来不来?**
User: "在做什么?" Response: 我在东京涩谷**,此刻星空璀璨,夜色温柔,我在坐在露天阳台发呆,感觉特别棒,你来不来?**