NVIDIA AI Platform · Container orchestration

Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven.

dstackai/dstack

Install NVIDIA NIM Operator on Kubernetes with prerequisite checks, optional NVIDIA GPU Operator dependency installation, public or local Helm chart selection, optional Dynamo support, and optional…

NVIDIA/k8s-nim-operator

Safely uninstall NVIDIA NIM Operator from Kubernetes with inventory checks, explicit approval gates for destructive actions, optional custom resource cleanup, optional CRD removal, and…

NVIDIA/k8s-nim-operator

A skill your agent uses when validating DCGM Exporter in a local GPU-backed k3d/Kubernetes environment.

NVIDIA/dcgm-exporter

Multi-agent PR review using Claude Code, Codex, and CodeRabbit.

NVIDIA/aicr

Create and manage dstack presets: a toolkit that streamlines model inference optimization with agents, and a portable preset format.

dstackai/dstack

Start up, tear down, and configure the local Kubernetes development environment for OpenShell.

NVIDIA/OpenShell

A skill your agent uses when analyzing an AICR snapshot YAML file, reviewing cluster state, comparing provider characteristics, extracting GPU/network topology insights, or generating a cluster…

NVIDIA/aicr

Interactively build, push or load, and deploy an airunway component (controller or any provider) to the cluster

ai-runway/airunway

dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters.

dstackai/dstack

Set up a K3s cluster on an NVIDIA GPU host, connect it to Azure Arc, and configure Azure ML to use it as a Kubernetes compute target.

microsoft/physical-ai-toolchain

A skill your agent uses when reviewing the weekly AICR component drift report — the Slack digest and drift-report.json artifact produced by Registry Drift Report (registry-drift.yaml) listing which…

NVIDIA/aicr

A skill your agent uses when the user runs /aicr-triage or asks to triage, review, or clean up a GitHub org-level Projects v2 board (default NVIDIA AICR project 248).

NVIDIA/aicr

Operate GPU-backed Kubernetes clusters for AI inference and training with scheduling, autoscaling, node health, MIG partitioning, and cost controls.

sickn33/agentic-awesome-skills

Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.

sickn33/agentic-awesome-skills

Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes.

NVIDIA/skills

Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner.

NVIDIA/skills

Host setup for TAO GPU backends. An agent skill from NVIDIA/skills.

NVIDIA/skills

Set up or troubleshoot the Auto Ontology runtime. An agent skill from NVIDIA/skills.

NVIDIA/skills

A skill your agent uses when the user is hands-on deploying an in-bundle DOCA service container (Argus, DMS, Firefly, or UROM service) on a BlueField — kubelet standalone watching a static-pod…

NVIDIA/skills

The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action.

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

Deploy inference services on CoreWeave with Helm charts and Kustomize.

jeremylongshore/tons-of-skills-marketplace

Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server.

BagelHole/DevOps-Security-Agent-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