Local Gpu Kubernetes Validation

nvidia/local-gpu-kubernetes-validation

Use when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment.

115 tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

1820

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/NVIDIA/dcgm-exporter --skill local-gpu-kubernetes-validation

The instruction itself

1 sections, as written by the author

Local GPU Kubernetes Validation

Prerequisites: Linux, NVIDIA driver, Docker, k3d, kubectl, Helm, NVIDIA

Container Toolkit, and a usable GPU.

Typical workflow:

make e2e-local-check
make e2e-local-up
make e2e-local-deploy
make test-e2e

Use make e2e-local-logs and make e2e-local-status for triage.

How to use it

Copy the folder

Take nvidia/local-gpu-kubernetes-validation from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.