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Get Started Free →nvidia/aiq-deploy
Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure.
Passed 15 of 18 test cases with the skill, and 4 of 18 without it.
and 17 more in the full report
14 fixed4 passed either way3 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.
I just pulled the AI-Q repository and want to get it running on my local machine. Can you check that the core repository files exist, guide me through selecting a runtime mode if unspecified, copy over the environment template safely, launch the service, run a health check on the endpoint, and output the final server URL I need for handoff?
| Checked | Without skill | With skill |
|---|---|---|
| Verifies core repository files using pyproject.toml, deploy/.env.example, and configs. | Missed | Passed |
| Prompts the user to select between Skill backend, CLI, UI, or Custom modes when unspecified. | Missed | Passed |
| Uses deploy/.env instead of root level .env for environment configuration. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
Users need:
https://github.com/NVIDIA-AI-Blueprints/aiq.uv for local process or CLI mode.npm for local browser UI development mode.kubectl 1.28+, Helm 3.12+, and access to a Kubernetes cluster for Helm mode.NVIDIA_API_KEY; web research requires at least
one supported search provider key such as TAVILY_API_KEY, SERPER_API_KEY, or EXA_API_KEY.3000. Self-hosted model or RAG deployments may require GPU resources.Before writing secrets, verify deploy/.env is ignored:
git check-ignore deploy/.env
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.
test cases passed, vs 4 / 18 without
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