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
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≈146 tokens on demand. Your agent reads this file only when SKILL.md points to it.
LP, MILP, and QP reference implementations. Use as reference when building new applications; do not edit in place.
| Model | Type |
|---|---|
| lp_basic | LP |
| lp_duals | LP |
| lp_warmstart | LP |
| milp_basic | MILP |
| milp_production_planning | MILP |
| mps_solver | LP/MILP |
| portfolio | QP |
| least_squares | QP |
| maximization_workaround | QP |
Run: From each subdir, python model.py. QP is beta and supports MINIMIZE only. See references/qp_examples.md for additional QP examples.
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.
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{
"author": "NVIDIA cuOpt Team",
"tags": [
"cuopt",
"linear-programming",
"milp",
"qp",
"python",
"c-api",
"cli"
]
}