AI & LLM Engineering · By NVIDIA

A skill your agent uses when an application owns tool or LLM/provider call sites and needs to wrap them with NeMo Relay scopes and managed execution APIs for lifecycle events, middleware, or…

NVIDIA/NeMo-Relay

A skill your agent uses when concurrent requests, async tasks, threads, workers, goroutines, or agents need independent NeMo Relay scope stacks and correct ancestry propagation.

NVIDIA/NeMo-Relay

Stage 3 of Clinical ASR Flywheel. An agent skill from NVIDIA/skills.

NVIDIA/skills

Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI.

NVIDIA/skills

Per-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay.

NVIDIA/skills

Configure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers.

NVIDIA/skills

Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay.

NVIDIA/skills

Set up the BSP source workspace: LinuxforTegra overlay tracker, bspsources, Crosstool-NG toolchain.

NVIDIA/skills

Author a new Jetson target-platform profile (referencedevkit + optional customcarrier) and update the active pointer.

NVIDIA/skills

Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures.

NVIDIA/skills

Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit.

NVIDIA/skills

NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage.

NVIDIA/skills

Filesystem RAG benchmarks: corpus/, train.json, evaluaterag.py (RAGAS quality).

NVIDIA/skills

Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config.

NVIDIA/skills

How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2dcv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT…

NVIDIA/skills

How to swap the VLM in the VSS Alerts Blueprint — covers RTVI-VLM microservice deployment methods, all three VLM consumers (rtvi-vlm, vlm-as-verifier, vss-agent), and health checks.

NVIDIA/skills

Shared Cosmos3 frontend that explicitly routes Cosmos Framework and Cosmos-RL, validates runtime model/video-dataset/SLURM inputs, consumes an SQSH or packaged backend image, optionally plans…

NVIDIA/skills

Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline).

NVIDIA/skills

Add or change a third-party framework integration that attaches NeMo Relay to framework tool, LLM, or lifecycle boundaries.

NVIDIA/NeMo-Relay

Bootstrap a custom carrier board by forking carrier files and scaffolding a DT overlay from the reference devkit.

NVIDIA/skills

Build a per-target knowledge-base markdown next to the active profile by walking the BSP root and source tree.

NVIDIA/skills

Extract Jetson Linux + sample-rootfs tarballs and run applybinaries.sh for the active target, then record bspimage in the profile.

NVIDIA/skills

Entry skill for Jetson / IGX BSP customization. An agent skill from NVIDIA/skills.

NVIDIA/skills

Switch the active Jetson target-platform pointer to an existing profile YAML.

NVIDIA/skills

Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.

NVIDIA/skills

Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data.

NVIDIA/skills

Validate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.

NVIDIA/skills

Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.

NVIDIA/skills

Validate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlapmoeexpertparallelcomm, delaywgradcompute, and flex dispatcher backends such as DeepEP and HybridEP.

NVIDIA/skills

Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

NVIDIA/skills

Techniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM…

NVIDIA/skills

MoE expert-parallel communication overlap in Megatron Bridge.

NVIDIA/skills

Representative, point-in-time MoE training playbooks by hardware and model family.

NVIDIA/skills

Long-context MoE training guidance for Megatron Bridge. An agent skill from NVIDIA/skills.

NVIDIA/skills

Practical guidance for training MoE VLMs in Megatron Bridge.

NVIDIA/skills

Operational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

NVIDIA/skills

Stage 4 of the Clinical ASR Flywheel. An agent skill from NVIDIA/skills.

NVIDIA/skills

Bind pre-downloaded Jetson reference docs (developer guide, design guide, pinmux, schematics) into the active profile documents block.

NVIDIA/skills

Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar.

NVIDIA/skills