The Search and Merchandising skill equips Claude with the expertise to architect and refine the discovery layer of e-commerce platforms. It focuses on technical implementations for search engines like Elasticsearch and Algolia, using behavioral signals for ranking, and building resilient faceted navigation that maintains accuracy under complex filtering. Additionally, it provides patterns for recommendation engines and technical SEO, ensuring that product pages are both discoverable by search engines and high-converting for users through personalization and A/B testing.
主要功能
01Dynamic faceted navigation with post-filter aggregation support
02Technical SEO optimization including schema.org and canonical management
0311 GitHub stars
04Search relevance tuning using behavioral signals and function scoring
05Implementation patterns for collaborative and content-based recommendations
06Personalization and A/B testing frameworks for search layouts
使用场景
01Improving search conversion by boosting products based on sales and view counts
02Building a robust recommendation system with content-based fallbacks for new products
03Managing SEO for faceted navigation to prevent duplicate content issues