🧮
DataPython

CuOpt Numerical Optimization API

by NVIDIA

CuOpt Numerical Optimization API is a Data skill for Claude Code, published by NVIDIA in skills.

3K stars345 forkson NVIDIA/skillsAdded 2026/08/17+3% in starsRepository updated 2026/08/17
agent-skillsagentic-aiai-agentsclaude-codecodexcoding-agentscudadeveloper-toolsllmomniversephysical-airagroboticssimulation
Install in seconds
Install CuOpt Numerical Optimization API
Copy CuOpt Numerical Optimization API into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/NVIDIA/skills/tree/main/skills/cuopt-numerical-optimization-api ~/.claude/skills/cuopt-numerical-optimization-api

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/NVIDIA/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
skills/cuopt-numerical-optimization-api/SKILL.md in NVIDIA/skills
Installs to
~/.claude/skills/cuopt-numerical-optimization-api
Collection
One of 25 skills cataloged from this repository
Category
Data668 skills

What CuOpt Numerical Optimization API does

CuOpt Numerical Optimization API models and solves linear programming (LP), mixed-integer linear programming (MILP), and quadratic programming (QP) problems using NVIDIA cuOpt's GPU-accelerated solver. Use it when the user needs to solve optimization problems with any cuOpt interface (Python, C, CLI).

CuOpt Numerical Optimization API is cataloged under Data on DirSkills. CuOpt Numerical Optimization API comes from a repository tagged agent-skills, agentic-ai, ai-agents, claude-code and codex.

Documentation

README

cuOpt Numerical Optimization API

Model and solve LP, MILP, and QP problems using NVIDIA cuOpt's GPU-accelerated solver.

Interface Selection

Choose the reference for the user's interface:

Interface When to use Reference
Python User is writing Python code references/python_api.md
C / C++ User is embedding in a C/C++ application references/c_api.md
CLI User is solving from MPS files on the command line references/cli_api.md

If the interface is not yet clear, ask before writing any code.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about CuOpt Numerical Optimization API

  • What else does NVIDIA publish alongside CuOpt Numerical Optimization API?

    CuOpt Numerical Optimization API is one of 25 skills that DirSkills catalogs from NVIDIA/skills, the repository it ships in. Its siblings there include AIQ Deploy, AIQ Research and AMC RTSP Calibration. Each one is a separate skill with its own page in this directory, installs the same way CuOpt Numerical Optimization API does, and is maintained by NVIDIA in that same repository. The rest of the collection is listed on the NVIDIA/skills page.

  • How does CuOpt Numerical Optimization API compare to other Data skills?

    CuOpt Numerical Optimization API ranks #246 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of CuOpt Numerical Optimization API against them. Open each page to compare what they document and how they install.

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