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Map interpreted optimization problems into cuOpt-native models for the fast path with minimal clarifying questions.
Dosyalar1 dosya
SKILL.md240 satır
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Kurulum
ÖnerilenTek komut — ajanınız otomatik olarak devreye alır.
Kurulum komutunu görmek için yukarıdan bir AI aracı seçin.
veya
Manuel Kurulum
Daha fazla adımDosyayı indirin ve ajanınızın sistem istemine yapıştırın.
Skill detayları
Versiyonv1.0.0
YazarNVIDIA
Kategoriai-ml
Skill IDNVIDIA/cuopt-examples/cuopt_on_nemoclaw/openclaw-skills/cuopt-model-mapper
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 SandboxRun cuOpt in the NemoClaw sandbox — probe/smoke gates, remote gRPC env, then vendored cuOpt skills.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.