Deterministic outer-loop optimizer for a skill that already carries a frozen eval (produced upstream by an eval source such as create-skill-eval). Runs the frozen eval across user-chosen agents on fresh headless sessions via a pluggable adapter, grades quality/cost/perf, keeps the pareto-best variant, and versions every iteration with qvr. Use when a skill is already instrumented and you want a reproducible, article-grade before/after. (To BUILD the eval first, use create-skill-eval.) Trigger phrases: "run the skill optimization loop", "optimize <skill> across agents", "grade and evolve <skill> across versions".
