Agent skill · NVIDIA
aiq-deploy
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
What it needs
About 7k tokens when loaded.
What this skill does
AIQ Deploy Skill Purpose Use this skill to get a local or self-hosted NVIDIA AI-Q Blueprint server running and verified for use by aiq-research. This skill owns setup, deployment, operational checks, troubleshooting, and shutdown. It does not run deep research itself. After deployment is healthy, hand off the verified server URL to aiq-research. The workflow stays explicit so deployment validation and handoff are repeatable across supported agent clients. Prerequisites Users need: Access to clone or update https://github.com/NVIDIA-AI-Blueprints/aiq. Git available in the shell. One deployment runtime: Docker Engine with Docker Compose v2 for the default durable local deployment. Python 3.11+ and uv for local process or CLI mode. Node.js 20+ and npm for local browser UI development mode. kubectl 1.28+, Helm 3.12+, and access to a Kubernetes cluster for Helm mode. Network access to GitHub, NVIDIA-hosted model endpoints, and any selected search provider. Credentials stored outside chat. Hosted-model usage requires NVIDIAAPIKEY; web research requires at least one supported search provider key such as TAVILYAPIKEY, SERPERAPIKEY, or EXAAPIKEY. System capacity for the selected runtime. Docker Compose mode starts the AI-Q backend and PostgreSQL by default; browser UI mode also uses frontend port 3000. Self-hosted model or RAG deployments may require GPU resources. Before writing secrets, verify deploy/.env is ignored: Expected output: deploy/.env or a matching ignore rule. If it is not ignored, stop and fix the ignore rule before placing credentials in the file. Instructions 1. Locate or clone the AI-Q repository. 2. Confirm the expected repository files exist. 3. Select the deployment mode. 4. Prepare deploy/.env without overwriting user secrets. 5. Check runtime prerequisites for the selected path. 6. Start the selected deployment. 7. Run basic validation. 8. Report the verified AIQSERVERURL for aiq-research. 9. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/aiq-deploy