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Found 6 Skills
Use when the user asks to "personalize the email", "add merge tags / dynamic content", "set up conditional blocks per segment", or "make first-name and product-recommendation fields fall back safely"; produces a merge-tag map with per-tag fallbacks, conditional-block rules with per-segment variations, a fallback-safety audit, and a PII guard on what may render, informing the SEND E (Engagement/personalization) dimension. Not for building the segments — use list-segment-builder; not for writing the base copy — use email-creative-builder; not for scoring EQS or running vetoes — use email-quality-auditor. 邮件个性化/合并标签/条件内容块/兜底默认值
通过亚马逊前台的 Alexa 购物助手发起自然语言问答，获取与问题相关的导购回答、推荐商品分组、ASIN 列表，以及可继续追问的问题。每次调用仅支持 1 条 prompt，如需追问须由 agent 总结上下文后拼接新问题发起新请求。可用 url 补充亚马逊页面上下文。当用户提到亚马逊 Alexa、Alexa 购物助手、亚马逊智能助手、AI 导购、对话式选品、自然语言购物、亚马逊聊天问答、Amazon Alexa shopping, conversational shopping, AI shopping assistant, follow-up questions、产品推荐对话、上下文追问等场景时触发此技能。即使用户未明确提及"Alexa"，只要其需求是"在亚马逊前台用自然语言问出商品推荐"，也应触发此技能。
Design personalization strategies for e-commerce stores. Product recommendations, dynamic content, customer segmentation, and personalized email/SMS based on browsing and purchase behavior.
Pre-logic validation tool that proactively identifies logical flaws before providing answers, used for rationality verification in scenarios such as product recommendation, quotation, data analysis, etc. Use when: - Validate product price authenticity before product recommendation - Data analysis consistency check - Budget-plan matching validation - Unit conversion verification - Factual statement validation before making factual claims - Proactively find logic flaws Cross-references: content-extractor, long-form-writer, rss-feed, document-hub Part of UniqueClub toolkit. Learn more: https://uniqueclub.ai
Use when creating product recommendation content on Xiaohongshu, writing posts that naturally lead to purchases, developing authentic product reviews, building trust through genuine product experiences, or planning content that converts readers to buyers
Upsell and cross-sell strategy — product recommendations, cart upsells, post-purchase offers, bundles