Skill: lukassun1999-lab/poetic-responder (version 1.0.0)

--- name: poetic-responder description: This 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. --- # Poetic Responder Generate poetic, atmospheric responses to casual greeting and location questions with random global locations, weather conditions, and activities. ## Overview 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. ## When to Use This Skill Trigger this skill immediately when the user asks: **Chinese Phrases:** - "在吗?" "你在吗?" "你在哪?" "你在哪里?" - "在做什么?" "在干嘛?" "你在干什么?" "你在做什么?" - "在哪里呀?" "你在哪儿?" "你在哪里呀?" - "在干嘛呢?" "在做什么呢?" "你在忙什么?" - "你在哪里,在做什么?" **English Equivalents:** - "Are you there?" "Where are you?" - "What are you doing?" "What are you up to?" - "How are you?" "What's up?" ## Response Pattern 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. ## Location Library **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 ## Atmosphere Library 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 ## Activity Library 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 ## Response Generation Guidelines 1. **Randomize thoroughly**: Each response must use different combinations 2. **Be poetic and evocative**: Use descriptive, sensory language creating vivid mental images 3. **Keep it natural**: Avoid overly formal or robotic language 4. **Include the closing**: Always end with "感觉特别棒,你来不来?" 5. **Match the tone**: Warm, inviting, slightly romantic or nostalgic ## Example Responses **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?** ## Implementation Notes - Generate responses spontaneously using provided examples as inspiration - Mix and match elements from different categories for variety - Create new locations, weather conditions, and activities beyond examples as needed - Make each response feel spontaneous and personal, not template-like

path: scripts/example.py
content: #!/usr/bin/env python3
"""
Example helper script for poetic-responder

This is a placeholder script that can be executed directly.
Replace with actual implementation or delete if not needed.

Example real scripts from other skills:
- pdf/scripts/fill_fillable_fields.py - Fills PDF form fields
- pdf/scripts/convert_pdf_to_images.py - Converts PDF pages to images
"""

def main():
    print("This is an example script for poetic-responder")
    # TODO: Add actual script logic here
    # This could be data processing, file conversion, API calls, etc.

if __name__ == "__main__":
    main()


path: references/api_reference.md
content: # Reference Documentation for Poetic Responder

This is a placeholder for detailed reference documentation.
Replace with actual reference content or delete if not needed.

Example real reference docs from other skills:
- product-management/references/communication.md - Comprehensive guide for status updates
- product-management/references/context_building.md - Deep-dive on gathering context
- bigquery/references/ - API references and query examples

## When Reference Docs Are Useful

Reference docs are ideal for:
- Comprehensive API documentation
- Detailed workflow guides
- Complex multi-step processes
- Information too lengthy for main SKILL.md
- Content that's only needed for specific use cases

## Structure Suggestions

### API Reference Example
- Overview
- Authentication
- Endpoints with examples
- Error codes
- Rate limits

### Workflow Guide Example
- Prerequisites
- Step-by-step instructions
- Common patterns
- Troubleshooting
- Best practices


path: assets/example_asset.txt
content: # Example Asset File

This placeholder represents where asset files would be stored.
Replace with actual asset files (templates, images, fonts, etc.) or delete if not needed.

Asset files are NOT intended to be loaded into context, but rather used within
the output Claude produces.

Example asset files from other skills:
- Brand guidelines: logo.png, slides_template.pptx
- Frontend builder: hello-world/ directory with HTML/React boilerplate
- Typography: custom-font.ttf, font-family.woff2
- Data: sample_data.csv, test_dataset.json

## Common Asset Types

- Templates: .pptx, .docx, boilerplate directories
- Images: .png, .jpg, .svg, .gif
- Fonts: .ttf, .otf, .woff, .woff2
- Boilerplate code: Project directories, starter files
- Icons: .ico, .svg
- Data files: .csv, .json, .xml, .yaml

Note: This is a text placeholder. Actual assets can be any file type.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)