aiq-research

Route deep AI-Q research requests to a local NVIDIA AI-Q Blueprint server and return cited reports.

Updated Apr 16, 2026
One-click install
npx skills add https://github.com/sayalinvidia/sayali-skills-test --skill aiq-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: aiq-research
Source: https://github.com/sayalinvidia/sayali-skills-test/tree/main/skills/aiq-research
Command: npx skills add https://github.com/sayalinvidia/sayali-skills-test --skill aiq-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

AI-Q deep research routing and reporting against a locally hosted NVIDIA AI-Q Blueprint backend, enabling structured, citation-backed results for complex inquiries.

Core Features & Use Cases

  • Routes deep AI-Q research prompts to a local or self-hosted backend and returns detailed final reports with citations.
  • Supports routed chat-style interactions when applicable, with asynchronous job handling for long-running tasks.
  • Provides health checks, compatibility guidance, and safe-operation guardrails to ensure reliable usage in local environments.

Quick Start

Run the AI-Q helper with your research query to start a routed session against your local backend.

Frequently Asked Questions about aiq-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run deep research queries against a local AI-Q backend?

You can run deep research queries against a local AI-Q backend by routing your prompts to a locally hosted NVIDIA AI-Q Blueprint server, which returns structured final reports with citations.

Can I use asynchronous jobs for long-running research analyses locally?

Yes, asynchronous job support is available for long-running research analyses, allowing the local backend to process complex inquiries and deliver final reports when complete.

Do I need Python 3.11 to route research requests to a self-hosted AI-Q Blueprint?

Yes, Python 3.11 or higher is required to route research requests to a self-hosted AI-Q Blueprint server, ensuring strict compatibility checks and safe operation.

What is AI-Q deep research routing and how does it handle citations?

AI-Q deep research routing directs complex inquiries to a local NVIDIA AI-Q Blueprint server, processing them to return detailed final reports that include structured citations.

Does the AI-Q local backend support health checks and compatibility guidance?

Yes, the local AI-Q backend provides health checks, compatibility guidance, and safe-operation guardrails to ensure reliable usage and strict compatibility in local environments.