eat-what-today-skill智能解决”今天吃什么”难题。根据用户地点、天气、心情、预算、就餐方式(外卖/堂食/自己做)快速推荐菜品, 并附图片参考。**当用户说”今天吃什么”、”不知道吃啥”、”帮我推荐”、”想吃XX”或表达任何餐饮需求时,必须使用此技能。** 目标是少问问题、快给结果,必要时最多补问 1-2 个关键问题。
Install via ClawdBot CLI:
clawdbot install pancat009/eat-what-today-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/Pancat009/eat-what-today-skill,获取现存图片。Audited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Integrate into apps like Meituan or Ele.me to help users quickly decide on meals based on weather, mood, and budget, reducing decision fatigue and increasing order conversion rates. It can suggest dishes with images for a visual appeal, enhancing user engagement.
Embed in devices like smart speakers or displays to provide meal recommendations for home cooking, considering factors like time of day and available ingredients. It can suggest recipes with step-by-step guidance, making meal planning effortless for busy households.
Use in workplace apps to recommend healthy lunch options based on employee preferences and dietary restrictions, promoting better nutrition and productivity. It can integrate with cafeteria menus or local restaurants for easy ordering.
Deploy in hotel apps or travel guides to suggest local dishes based on user location, weather, and cultural interests, enhancing the dining experience for tourists. It can include images and restaurant recommendations for a seamless exploration.
Incorporate into platforms like TikTok or Instagram to generate food content ideas based on trends, user moods, and seasonal ingredients, helping creators produce engaging posts. It can provide visual references and hashtags for viral potential.
Offer basic recommendation features for free to attract users, with premium tiers providing advanced analytics, custom integrations, and priority support for businesses. Revenue comes from subscription fees and enterprise contracts.
License the skill's API to third-party apps, such as food delivery services or smart home devices, charging based on usage volume or per transaction. This model scales with partner adoption and user engagement.
Generate revenue by partnering with restaurants, grocery stores, or food brands, earning commissions on orders or sales driven through recommendations. It can include sponsored placements for higher visibility in results.
💬 Integration Tip
Ensure compatibility with Python 3 and follow the structured output format for seamless deployment in conversational AI environments.
Scored Jun 19, 2026
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