search-discovery-relevance-review
Installation
SKILL.md
Search Discovery Relevance Review
Use this skill to convert a search, discovery, relevance quality, filters, ranking drift, zero-results, and user trust question into a concrete artifact with owners, gates, metrics, and recovery paths.
Workflow
- Identify searchable corpus, user intents, query types, ranking surfaces, business incentives, cold-start items, and harm from bad relevance.
- Read
references/search-discovery-relevance-patterns.md. - Separate retrieval, filtering, ranking, personalization, editorial curation, sponsored placement, and moderation eligibility.
- Define quality evals, query logs, zero-result recovery, feedback signals, fairness checks, ranking-change rollout, and support/debug tools.
- Produce relevance audit, state machine, decision table, event schema, eval set, and launch checklist.
When not to use
- Do not use for generic advice the base model already handles without this skill's specific artifact contract.