NVIDIA

Plugin nvidia in zhongjingyun/codex-plugins. Commands read from the repo's manifest — 1 month ago.

Skills (11)

• aiq-deploy

  Use when asked to install, deploy, run, validate, troubleshoot, or stop NVIDIA AI-Q Blueprint infrastructure. Designed for Claude Code, OpenCode, Codex, and Agent Skills-compatible tools. Requires Git, network access to GitHub, and one selected runtime path: Docker Compose v2 for the default local d

• aiq-research

  Use when asked to run deep research or AI-Q research through a reachable NVIDIA AI-Q Blueprint backend. env: - AIQ_SERVER_URL network: - http://localhost:8000 Designed for Claude Code, OpenCode, Codex, and Agent Skills-compatible tools. Requires Python 3.11+ and network access to a running local AI-

• cuopt-user-rules

  Base rules for end users calling NVIDIA cuOpt (routing/LP/MILP/QP/install/server). Not for cuOpt internals — use cuopt-developer for those.

• dynamo-interconnect-check

  Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.

• dynamo-router-starter

  Start or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.

• nemoclaw-user-get-started

  Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemohermes quickstart, hermes agent nemoclaw, run hermes openshell s

• omniverse-cad-to-simready

  Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or ve

• omniverse-realtime-viewer

  Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.

• omniverse-usd-performance-tuning

  Top-level workflow skill for USD performance diagnosis and optimization. Use for slow loading, high memory, low FPS, or 'optimize my scene' requests; delegates auth/runtime setup to Phase 0 owners.

• physical-ai-infrastructure-setup-and-resilient-scaling

  Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure

• physical-ai-neural-reconstruction

  Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.

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