Tabular Optimization Ingestion
NVIDIA/cuopt-examples/cuopt_on_nemoclaw/openclaw-skills/tabular-optimization-ingestion
ai-mlOfficial
Official Provider SkillView repo
Infer optimization structure from uploaded tables and identify minimal clarifications before cuOpt modeling.
Files1 files
SKILL.md321 lines
Loading editor…
Install
RecommendedOne command — your agent picks it up automatically.
Select an AI agent above to see the install command.
or
Manual Install
More stepsDownload the file and paste it into your agent's system prompt.
Skill details
Versionv1.0.0
AuthorNVIDIA
Categoryai-ml
Skill IDNVIDIA/cuopt-examples/cuopt_on_nemoclaw/openclaw-skills/tabular-optimization-ingestion
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 Intent RouterClassify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.