cuopt-installation-api-c
$
npx mdskill add NVIDIA/skills/cuopt-installation-api-cInstall cuOpt C libraries and verify headers for GPU optimization.
- Users need conda packages for C API installation and verification.
- Skill requires NVIDIA drivers and CUDA 12.x or 13.x environments.
- Agent executes find commands to locate headers and shared libraries.
- Results display verification paths for libcuopt.so and cuopt_c.h files.
SKILL.md
.github/skills/cuopt-installation-api-cView on GitHub ↗
--- name: cuopt-installation-api-c version: "26.06.00" description: Install cuOpt for C — conda, locate lib/headers, verification. Use when the user is installing or verifying the C API. Standalone; no common skill. --- # cuOpt Installation — C API (user) Install cuOpt to *use* it from C. Standalone skill (no separate common). ## System requirements - **GPU**: NVIDIA Compute Capability ≥ 7.0 (Volta+). CUDA 12.x or 13.x. - **Driver**: Compatible NVIDIA driver. Python and C are separate installables. ## conda (C / libcuopt) ```bash conda install -c rapidsai -c conda-forge -c nvidia cuopt # libcuopt is provided by the same channel; Python and C are separate packages. ``` ## Verify C API ```bash find $CONDA_PREFIX -name "cuopt_c.h" find $CONDA_PREFIX -name "libcuopt.so" ``` ## Examples - [verification_examples.md](resources/verification_examples.md) — C API verification
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