tonone
claudeFull company team — 140 agents, 15 teams. All agents and skills in one install.
200 skills · 140 agents · hooks
77
claude
rank
AI Operations Team — Rank: Retrieval reranking, relevance scoring, learning-to-rank pipelines, and result quality evaluation for search and RAG.
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Plugin rank from marketplace tonone-ai in tonone-ai/tonone. Commands read from the repo's manifest — 2 days ago.
What it installs
Skills (3)
rank-designDesign ranking pipelines — reranker selection, score fusion, cross-encoder patterns, latency trade-offs. Use when asked to "add a reranker", "design a ranking pipeline", or "improve retrieval relevance".
rank-evalBuild ranking evaluation — NDCG/MRR measurement, human relevance labeling, offline eval harness. Use when asked to "measure ranking quality", "compute NDCG for our search", or "set up human relevance labeling".
rank-reconAudit ranking quality — metric trends, failure modes, dataset coverage, reranker performance. Use when asked to "audit our ranking quality", "find search relevance failures", or "review reranker performance".
Subagents (1)
rankAI ranking and relevance — retrieval reranking, relevance scoring, learning-to-rank, result quality evaluation
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