Agent skills by NVIDIA, page 11

Change NeMo Relay adaptive configuration, built-in adaptive components, reports, or binding helpers; also use when the task calls this surface optimizer.

NVIDIA/NeMo-Relay

Add or change NeMo Relay packages, package metadata, module paths, generated artifacts, registry output, or release-facing build surfaces, including registering new unified-release surfaces with…

NVIDIA/NeMo-Relay

Review NeMo Relay documentation, examples, or public text for NVIDIA technical writing style, terminology, and repository accuracy.

NVIDIA/NeMo-Relay

Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).

NVIDIA/skills

LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective).

NVIDIA/skills

A skill your agent uses when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.

NVIDIA/skills

Build Holoscan SDK from source via the in-tree ./run script.

NVIDIA/skills

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

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

Configure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.

NVIDIA/skills

Create and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.

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 hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

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

Choose the right MoE token dispatcher (alltoall, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage.

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

Evidence-gated workflow for MoE performance optimization in Megatron Bridge.

NVIDIA/skills

Practical guidance for training MoE VLMs in Megatron Bridge.

NVIDIA/skills

Operational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.

NVIDIA/skills

Validate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.

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

Resiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.

NVIDIA/skills

A skill your agent uses 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…

NVIDIA/skills

Kubernetes execution platform — submits TAO container jobs as k8s Jobs with NVIDIA GPU scheduling; single-pod for one node, Indexed Jobs for multi-node distributed training.

NVIDIA/skills

Expert cuTile programming assistant. An agent skill from NVIDIA/skills.

NVIDIA/skills

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

NVIDIA/NeMo-Relay

Rename a NeMo Relay repository, package, crate, module, public symbol, import path, or brand surface across multiple consumers.

NVIDIA/NeMo-Relay

Route open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete…

NVIDIA/skills

Mod or remaster a game with RTX Remix - open and edit projects, swap textures and models.

NVIDIA/skills

Guide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.

NVIDIA/skills

Documentation conventions for NeMo-RL. An agent skill from NVIDIA/skills.

NVIDIA/skills

One-time session setup and orchestration map for the TAO skill bank.

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

The data-mover for TAO jobs — decides the storage tier (A pre-positioned mount with zero fetch / B volume-from-S3 / C ephemeral in-compute fetch), stages inputs (bulk + annotation-selective +…

NVIDIA/skills

The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKERHOST=ssh://user@host.

NVIDIA/skills