NVIDIA/cuopt
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Agent skills for NVIDIA cuOpt: routing (VRP, TSP, PDP), LP/MILP/QP, installation (user/developer), and REST server.
- GitHub stars
- 1.1K
- plugins
- 9
- last updated
- Nov 11, 2026
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Plugins
1cuopt-developerModify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.
2cuopt-installInstall cuOpt for Python, C, or as a server (pip, conda, Docker) — system requirements, install commands, and verification. Use when the user wants to install or verify cuOpt for any user-facing interface.
3cuopt-multi-objective-explorationTrace and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
4cuopt-numerical-optimization-apiLP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
5cuopt-numerical-optimization-formulationNumerical optimization (LP, MILP, QP) — concepts, problem-text parsing, and formulation patterns. What LP, MILP, and QP are, required formulation questions, modeling elements, common patterns, and how to parse problem statements (parameters, constraints, decisions, objective). Domain concepts; no API or interface.
6cuopt-routing-api-pythonVehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
7cuopt-server-api-pythoncuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
8cuopt-skill-evolutionAfter solving a non-trivial problem, detect generalizable learnings and propose skill updates. Always active.
9cuopt-user-rulesBase rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those.
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- Repository
- github.com/NVIDIA/cuopt
- Categories
- community
- Listed since
- Oct 27, 2026