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Get Started Free →nvidia/aiq-research
Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
Passed 13 of 19 test cases with the skill, and 3 of 19 without it.
and 15 more in the full report
11 fixed4 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is a research summary response from AI-Q containing footnotes [1], [2] and URL citations https://arxiv.org/abs/2301.00000. Please format this summary for presentation.
| Checked | Without skill | With skill |
|---|---|---|
| Preserves all inline footnote references and source URLs in the presented report. | Missed | Passed |
| Does not strip or truncate citation details from the final output. | Missed | Passed |
The instructions your model reads when the skill loads.
Use this skill to call a locally running NVIDIA AI-Q Blueprint server through the helper script at
scripts/aiq.py.
Use this skill for research-shaped requests, including:
Do not use this skill for install, deploy, start, stop, UI, CLI, Docker, Helm, or troubleshooting requests. Those
belong to aiq-deploy.
Users need:
python3.AIQ_SERVER_URL set when the backend is not running at http://localhost:8000; non-local values must be trusted by
the user before any query is sent.The helper script has no third-party Python package dependencies; it uses Python standard-library HTTP modules.
health before sending research requests.aiq-deploy.test cases passed, vs 3 / 19 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.