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Run cuOpt in the NemoClaw sandbox — probe/smoke gates, prefer cancelable Python gRPC jobs, use legacy remote execution only when that API is unavailable, then vendored cuOpt skills.
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Skill detayları
Versiyonv1.0.0
YazarNVIDIA
Kategoricoding
Skill IDNVIDIA/cuopt-examples/cuopt_on_nemoclaw/openclaw-skills/cuopt-sandbox
Dosyalar13 dosya
İlgili skill'ler
Cuopt DebuggingTroubleshoot cuOpt LP/MILP problems including errors, wrong results, infeasible solutions, performance issues, and status codes. Use when the user says something isn't working, gets unexpected results, or needs help diagnosing issues.Cuopt Model MapperMap interpreted optimization problems into cuOpt-native models for the fast path with minimal clarifying questions.Generic Max SupplyMulti-period supply chain planning model: data files, BOM structure, variable/constraint reference for the max-supply base model.Optimization From Data OrchestratorCoordinate uploaded data plus a natural-language question into interpretation, clarification, cuOpt solve, and a user-facing answer.Optimization Intent RouterClassify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.Optimization Mode RouterChoose fast direct-to-cuOpt solve versus replayable or auditable model artifact mode.