Optimization Intent Router
NVIDIA/cuopt-examples/cuopt_on_nemoclaw/openclaw-skills/optimization-intent-router
analysisOfficial
Official Provider SkillView repo
Classify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.
Files1 files
SKILL.md257 lines
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Skill details
Versionv1.0.0
AuthorNVIDIA
Categoryanalysis
Skill IDNVIDIA/cuopt-examples/cuopt_on_nemoclaw/openclaw-skills/optimization-intent-router
Related skills
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.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 Mode RouterChoose fast direct-to-cuOpt solve versus replayable or auditable model artifact mode.