nvidia/cuopt-examples · Archived
optimization-from-data-orchestrator
Coordinate uploaded data plus a natural-language question into interpretation, clarification, cuOpt solve, and a user-facing answer.
Installation
npx skills add https://github.com/nvidia/cuopt-examples
Stronger alternatives
This repository is archived — consider an actively maintained alternative.
Multi-period supply chain planning model: data files, BOM structure, variable/constraint refere…
4 installsInfer optimization structure from uploaded tables and identify minimal clarifications before cu…
3 installsClassify whether a data-backed request is LP, MILP, QP, routing, or non-optimization analytics.
2 installsMap interpreted optimization problems into cuOpt-native models for the fast path with minimal c…
2 installsSimilar popular skills
Related neighbors and high-traction skills in the same topics — useful to compare before installing.
Helps users discover and install agent skills when they ask questions like "how do I do X", "fi…
3.3M installsBrowser automation CLI for AI agents. Use when the user needs to interact with websites, includ…
810.4K installsReview UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "chec…
617.3K installsBuild, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and …
576.5K installsPrepare azd-based Azure projects for deployment: generates azure.yaml, infrastructure (Bicep/Te…
568.3K installsAlso in this package
Other skills from nvidia/cuopt-examples.
npx skills add https://github.com/nvidia/cuopt-examples
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
Repository health
main
History
- First seen on skills.sh
- First recorded snapshot · 3 installs