LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI. Use when the user is solving LP, MILP, or QP with any cuOpt interface.
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Use this Skill: https://skilld.dev/gh/nvidia/skills/cuopt-numerical-optimization-api
This session only. Nothing lands on disk.
≈109 tokens on demand. Your agent reads this file only when SKILL.md points to it.
Basic mixed-integer program: integer variables with bounds, linear constraints.
Problem: Maximize 5x + 3y subject to 2x + 4y ≥ 230, 3x + 2y ≤ 190, 10 ≤ y ≤ 50, x, y integer.
Run: python model.py or python incumbent_callback.py
Source: SKILL.md on GitHub
The skill provides a comprehensive environment for modeling and solving optimization problems using the NVIDIA cuOpt library. It includes well-documented examples and reference implementations for Python, C, and CLI interfaces. Security analysis identified a remote data download from a reputable academic source and standard data ingestion patterns for optimization files, neither of which present malicious risk.
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Risk: MEDIUM · 1 issue
Signed by skilld at e0cd22d. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.
Last checked against GitHub yesterday.
{
"author": "NVIDIA cuOpt Team",
"tags": [
"cuopt",
"linear-programming",
"milp",
"qp",
"python",
"c-api",
"cli"
]
}