Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
nvidia-aiq-deploy/SKILL.md
---
name: aiq-deploy
description: |
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
license: Apache-2.0
compatibility: |
Designed for Claude Code, OpenCode, Codex, and Agent Skills-compatible tools. Requires Git, network
access to GitHub, and one selected runtime path: Docker Compose v2 for the default local deployment,
Python 3.11+ and uv for local process or CLI mode, Node.js 20+ and npm for local web UI mode, or
kubectl 1.28+ and Helm 3.12+ for Kubernetes and Helm mode.
metadata:
version: "2.1.0"
author: "NVIDIA AI-Q Blueprint Team <aiq-blueprint@nvidia.com>"
github-url: "https://github.com/NVIDIA-AI-Blueprints/aiq"
tags:
- nvidia
- aiq
- blueprint
- deploy
- operations
- agent-skills
allowed-tools: Read Bash
---
# AIQ Deploy Skill… load the full skill through Skill MeIf full content is available, it applies in this conversation and stays installed for future sessions.
Not connected yet? It takes about a minute.
Connect your AIOr add it to a project with the CLI
npx @skillme/cli add nvidia-aiq-deployMCP endpoint
https://skillme.dev/api/mcpUse it across a team
Pin this skill in a team library and every member's AI loads this exact version until an admin updates it.
How Teams works