Agent skill · NVIDIA
aiq-research
Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend.
What it needs
About 10k tokens when loaded.
What this skill does
AIQ Research Skill Purpose 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: "deep research on ..." "AIQ research ..." "research ..." "use AI-Q to answer ..." "ask AI-Q about ..." Do not use this skill for install, deploy, start, stop, UI, CLI, Docker, Helm, or troubleshooting requests. Those belong to aiq-deploy. Prerequisites Users need: Python 3.11+ available as python3. A reachable local or self-hosted AI-Q Blueprint backend. AIQSERVERURL 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. A backend configured with authentication disabled for this public helper, or a separate authenticated AI-Q skill for authenticated environments. Network access from the local machine to the AI-Q backend URL. Credentials configured in the backend environment, not in this skill. This public helper does not collect or manage API keys. The helper script has no third-party Python package dependencies; it uses Python standard-library HTTP modules. Instructions 1. Resolve the target backend URL. 2. Run health before sending research requests. 3. If no backend is reachable, ask for a backend URL or hand off to aiq-deploy. 4. Before sending any user query, state the exact AI-Q backend URL that will receive it. For non-local URLs, continue only if the user has explicitly confirmed that URL is trusted in the current conversation. 5. Poll asynchronous deep research jobs when AI-Q returns a job ID. 6. Present returned reports with citations and source URLs intact. 7. Stop on failed jobs and show the returned error; do not retry automatically. 8. After presenting a report, support follow-up: answer questions about it (ask) or run a refined research pass (redo) using the same commands. Step 1 - Resolve the backend Use AIQSERVERURL when set. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills NVIDIA/aiq-research