Author OpenSearch relevance tests with Search Relevance Workbench (judgment lists, query sets, experiments), `_rank_eval` API (Elasticsearch-fork-compatible), and hybrid BM25 + neural ranking eval. Reuse Elasticsearch judgment list format; document the differences (neural search query DSL, hybrid weighting via `neural_query_enricher`). Use when an OpenSearch index turns on neural or hybrid search, or when a move off Elasticsearch has to prove relevance parity between the two clusters.
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{
"name": "testland/opensearch-relevance-tests",
"version": "1.2.4",
"summary": "Author OpenSearch relevance tests with Search Relevance Workbench (judgment lists, query sets, experiments), `_rank_eval` API (Elasticsearch-fork-compatible), and hybrid BM25 + neural ranking eval. Reuse Elasticsearch judgment list format; document the differences (neural search query DSL, hybrid weighting via `neural_query_enricher`). Use when an OpenSearch index turns on neural or hybrid search, or when a move off Elasticsearch has to prove relevance parity between the two clusters.",
"private": false,
"skills": {
"opensearch-relevance-tests": {
"path": "SKILL.md"
}
}
}