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cuopt-install

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Install cuOpt fast with the right CUDA.

Software Engineering#verification#docker#nvidia#cuopt#cuda versioning#python installation#rest server
Authoryo-steven
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you install NVIDIA cuOpt for Python, C/C++, or a REST server by guiding you through system requirements and choosing the correct prebuilt package for your CUDA version and environment.

Core Features & Use Cases

  • Dependency-aware installs (Python, C, Server, Docker): Ensures you install the right package variant (cuXX) and understands how Python installs the corresponding C library.
  • System requirement checks: Covers GPU compute capability, CUDA/driver compatibility, and CUDA major version matching.
  • Verification and troubleshooting: Provides targeted verification steps (import/runtime checks and server health checks) and common fixes for environment mismatch and missing modules.

Use case: you have a GPU machine with CUDA 12.x and want to install cuOpt for Python and confirm it can access the GPU before you start solving routing problems.

Quick Start

Ask an agent to install cuOpt for Python using pip for your CUDA 12.x environment and then verify the install by importing cuopt and constructing a small routing DataModel.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: cuopt-install
Download link: https://github.com/yo-steven/skills-exploration-20260522/archive/main.zip#cuopt-install

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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