Use when a search system combines keyword (BM25) and vector retrieval, with or without a reranker, and needs numbers: judgment sets, nDCG@k and MRR on fused results, Reciprocal Rank Fusion vs weighted fusion vs single-stage, and whether the reranker earns its latency.
91%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
{
"name": "testland/hybrid-search-eval-author",
"version": "1.2.7",
"summary": "Use when a search system combines keyword (BM25) and vector retrieval, with or without a reranker, and needs numbers: judgment sets, nDCG@k and MRR on fused results, Reciprocal Rank Fusion vs weighted fusion vs single-stage, and whether the reranker earns its latency.",
"private": false,
"skills": {
"hybrid-search-eval-author": {
"path": "SKILL.md"
}
}
}