Individual skill

marketplace-search-recsys-planning

Search and recommendation system planning for a two-sided trust marketplace built on OpenSearch — user-intent framing, product-surface architecture, index design, query understanding, retrieval strategy, ranking, search-plus-recs blending, measurement, and a dashboard-and-alerting layer for ongoing decision making. Triggers on tasks involving marketplace search, homefeeds, ranking, relevance tuning, OpenSearch query DSL, analyzers, synonyms, golden sets, NDCG, A/B testing, or diagnosing an existing retrieval system. Use this skill BEFORE marketplace-personalisation when planning new work; hand off when the diagnosed bottleneck is personalisation-specific.

skills/.experimental/marketplace-search-recsys-planning/SKILL.md

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# Marketplace Engineering Two-Sided Search and Recsys Planning Best Practices

Comprehensive planning, design and diagnostic guide for search and recommendation systems
in two-sided trust marketplaces. Covers OpenSearch index, query and ranking patterns, the
methodology for planning retrieval work, the handoff points to recommendation-specific
tooling, and the instrumentation and dashboard layer that turns measurement into ongoing
decision making. Contains 57 rules across 10 categories ordered by cascade impact, plus
two playbooks (plan a new system from scratch, diagnose an existing one) and explicit
living-artefact conventions (decisions log, golden set, gotchas).

## When to Apply

Reference this skill when:

- Planning a new marketplace retrieval project from scratch