xiao-fan-ka

What This Skill Does

小饭卡 (Xiao Fan Ka) is an intelligent AI dining assistant designed to solve the age-old problem of "what should I eat?" By leveraging a sophisticated user preference profiling system, this skill acts as your personal foodie consultant. It performs a dual-source search across Dianping and Xiaohongshu (Red) databases, utilizing cross-validation techniques to ensure that the recommendations are not just popular, but actually suited to your unique taste palette. Whether you are looking for a hidden gem in a new city or a reliable spot for a business lunch, this agent filters out the marketing noise to deliver high-quality, personalized dining suggestions.

Installation

To integrate Xiao Fan Ka into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/oakcoderx/xiao-fan-ka

Ensure that your OpenClaw instance is updated to the latest version to support the data-parsing capabilities required for cross-platform review analysis.

Use Cases

• Personalized Recommendations: Finding restaurants that match your specific dietary preferences (e.g., low-carb, spicy, plant-based) by analyzing your previous choices and user-provided feedback.
• Conflict Resolution: When you and a friend cannot decide on a cuisine, let the agent perform a cross-platform comparison to find a place with consistently high ratings on both Dianping and Xiaohongshu.
• Trend Discovery: Automatically alerting you to trending, authentic, or "vibe-checked" cafes and restaurants that are currently popular among food critics and local influencers.

Example Prompts

1. "我最近比较喜欢吃潮汕牛肉火锅，帮我在三里屯附近找一家环境好且好评率高的地方。"
2. "帮我分析一下上海静安寺附近适合工作约谈的餐厅，要求安静且大众点评和小红书的评分都要在4.5以上。"
3. "我是一个无辣不欢的人，帮我从最近的收藏列表中筛选出三家最推荐的川菜馆，并告诉我为什么推荐它们。"

Tips & Limitations

• Taste Profiling: The accuracy of the skill improves over time as you interact more with it. Providing feedback on recommendations (e.g., "This was too salty" or "The vibe was perfect") helps the AI refine your taste profile significantly.
• Data Source Dependency: The skill relies on external platforms (Dianping and Xiaohongshu). If a restaurant is too new or lacks a digital footprint on these platforms, the agent may struggle to provide comprehensive data.
• Cross-Validation: Always check the current operating hours of the suggested venues, as metadata on third-party platforms can sometimes lag behind real-time changes.