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## What changed - Add a skill selector that uses reciprocal rank fusion to combine the top 50 results from the weighted lexical and character n-gram selectors. - Prefer candidates supported by both rankings, with deterministic rank and identifier tie-breakers, and propagate truncation metadata from both selectors. - Include the fused selector in the shadow-selection experiment under `rrf_lexical_char_v1`. ## Testing - Add unit coverage for cross-ranking support, deterministic tie-breaking, and combined input-bound reporting. GitOrigin-RevId: 3165136b8729ea3a9484f25c7f2ce0f91fb8aaa9