Add a Specialized Deep Research Skill to Agent Harnesses | NVIDIA Technical Blog

This post introduces the AI-Q skill, a portable agent skill that packages the deep research pipeline of the NVIDIA AI-Q Blueprint. This skill enables agent harnesses (like Claude Code, Codex, and LangChain Deep Agents) to delegate deep research tasks, including multi-document synthesis and decision briefs backed by enterprise data, to a local or hosted AI-Q server. The skill manages intent classification, clarification, shallow and deep research, and evaluation, returning a structured report with citations. It addresses the complexity of grounding agents in enterprise data, routing queries, managing authentication, and preserving source attribution. The post also details secure MCP integration patterns for AI-Q as an MCP client, enabling it to connect to authenticated MCP servers as data sources using various authentication scenarios (no per-user auth, backend/app credentials, or forwarding user's bearer token). Deployment properties for regulated industries, such as data locality, self-hostable models, and auditability, are emphasized.