Generate outfit recommendations based on weather forecasts and activity scenarios.
npx skills add https://github.com/gaoqiongxie/skills-ai --skill outfit-weather
Please help me install this Agent Skill. Skill: outfit-weather Source: https://github.com/gaoqiongxie/skills-ai/tree/main/outfit-weather Command: npx skills add https://github.com/gaoqiongxie/skills-ai --skill outfit-weather
This Skill eliminates the daily frustration of not knowing what to wear when heading out, especially when you are unsure of the local weather or appropriate attire for a specific event.
Ask the outfit-weather skill for outfit suggestions by telling it your city, the date, current weather conditions and the activity you will be doing, for example: I have a date in Shanghai tomorrow, it is 22°C and sunny, what should I wear?
High-intent search queries and answers about installing and using this skill.
Outfit suggestions based on weather and occasion are generated by providing your city, date, current temperature, weather conditions, and planned activity scenario to receive structured clothing recommendations.
Weather-based outfit recommendations include specific clothing items for top, bottom, outerwear, and shoes, alongside color coordination, material selection, accessory suggestions, and special weather-related reminders.
Dressing tips for specific activities like interviews, sports, dating, and commuting are provided by matching your planned activity scenario with the expected weather forecast to ensure appropriate attire.
Rain or snow conditions are accounted for by providing special weather-related reminders, such as recommending a waterproof coat and appropriate footwear for drizzling or snowy forecasts.
Seasonal outfits are planned using adaptive dressing guidelines that provide gender-specific advice, color coordination, and material selection tailored to changing climate conditions and temperatures.
imbatonyRetrieve current or forecasted weather data for Chinese and English city names via wttr.in.
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HelloEverybobyGenerate personalized outfit suggestions from weather data, style preferences, and schedule.
