TasteRay 偏好与推荐技能

通过对话理解用户偏好，并据此提供推荐。

TasteRay 的完整双技能包将对话式了解与推荐连接起来，借助叙事与动机式访谈方法形成偏好背景，再对应到支持的推荐类别。

适用场景

  • 了解个人价值观与偏好
  • 提供有理由的内容或商品推荐
  • 设计个性化对话体验

使用方法

从循序渐进的对话开始并保留偏好背景。需要 API 推荐时按上游方式配置 TasteRay 集成。

Skills

  • elicitation

    Psychological profiling through natural conversation using narrative identity research (McAdams), self-defining memory elicitation (Singer), and Motivational Interviewing (OARS framework). Use when you need to: (1) understand someone's core values and motivations, (2) discover formative memories and life-defining experiences, (3) detect emotional schemas and belief patterns, (4) build psychological profiles through gradual disclosure, (5) conduct user interviews that reveal deep insights, (6) design conversational flows for personal discovery, (7) identify identity themes like redemption and contamination narratives, (8) elicit authentic self-disclosure without interrogation.

    tasteray/skills

  • recommendations

    TasteRay API integration for personalized recommendations across verticals (movies, restaurants, products, travel, jobs). Use when you need to: (1) recommend movies, restaurants, products, travel, or jobs, (2) answer "what would I like" questions, (3) provide personalized recommendations based on preferences, (4) rank or score items for a user, (5) explain why something matches a user's taste, (6) build recommendation context from conversation, (7) integrate psychological profiles with recommendation systems.

    tasteray/skills