Fashion Designerv1.0.1

A user provides their profile (gender, age, body type, style preference) and describes their need, such as a spring outfit or minimal look. The skill scrapes product data from configured shopping sites, generates up to three outfit recommendations, and delivers them via IM card and document.

Shoppers on an e-commerce platform can ask for curated outfit suggestions based on their body type and occasion. The skill pulls real-time product data, filters images, and presents complete looks with prices and purchase links, reducing decision fatigue.

Within a Feishu workspace, the skill interacts with users through IM, sends progress updates, and stores recommendations in a Feishu document. It learns from likes and dislikes to refine future suggestions, acting as an always-available personal stylist.

When a user wants to update their wardrobe for a new season, the skill fetches targeted products from multiple sites, suggests coordinated outfits, and keeps a running document of liked and disliked items. Over time, it builds a personalized style profile.

For women’s outfits, the skill can optionally include accessories from accessory-specific sites alongside main clothing items. This provides a complete outfit solution and increases basket size for retailers or affiliates.

The skill recommends products with clickable purchase links from configured shopping sites. When users buy through these links, the operator earns affiliate commissions from the retailers.

Users pay a monthly or annual fee for unlimited personalized outfit recommendations, priority processing, and advanced features like wardrobe tracking and seasonal analytics.

Fashion brands or retailers pay to have their products featured or prioritized in the recommendation engine, increasing visibility among targeted user profiles.