Holoscan Install Container
NVIDIAOfficial
A workflow for installing and verifying the Holoscan SDK 5.x development container.
Trusted skills for AI agents from official vendors and established maintainers. Every skill is attributed to its author, scanned, and comes with install steps for your AI tool.
54 skills
NVIDIAOfficial
A workflow for installing and verifying the Holoscan SDK 5.x development container.
NVIDIAOfficial
Operate the DOCA UROM Service container on BlueField Arm to execute remote memory operations offloaded from a paired host.
NVIDIAOfficial
Automated deployment of the AutoMagicCalib microservice and web UI stack using Docker Compose.
NVIDIAOfficial
Run the CDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attribute augmentation, person attribute search, person re-identification data, clothing augmentation, attribute captions, augmentation payloads, run status, or result retrieval. Runs environment setup first when controller readiness is unknown. Not for video or defect-image generation.
NVIDIAOfficial
Run the CDF Video Data Augmentation Airflow workflow on Kubernetes or OSMO to create Cosmos video-to-video variants and auto-label both source and generated videos. Use for VDA payload authoring, preflight, execution, monitoring, output verification, or result retrieval. OSMO requires external endpoints. Standalone augmentation or auto-labeling configuration belongs to the respective component skill. Not for retrieval-driven CDF pipelines or image-to-video event generation.
NVIDIAOfficial
Standardized workflow for deploying and debugging DOCA service containers on BlueField using kubelet standalone.
NVIDIAOfficial
A playbook for managing NeMo-RL training jobs and RayClusters on Kubernetes using the nrl-k8s CLI.
NVIDIAOfficial
Bootstrap the KERMT agent environment by verifying host requirements, building the container image, and running a GPU smoke test.
NVIDIAOfficial
Use when a user describes a custom CDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without full auto-labeling — that no existing DAG in airflow/dags/workflows/ covers, and asks for a new Kubernetes DAG. Also use to check that a generated or existing DAG's model/container/prompt choices match an external spec document (e.g. a CDF `launchable.md`). Not for requests that an existing DAG already covers, including payload-only changes such as different inputs, endpoints, models, or variant counts — route those to the matching workflow skill, unless the user still wants a separate DAG after being pointed to it.
NVIDIAOfficial
Set up missing Linux prerequisites and audit whether a Cosmos Data Factory (CDF) Orchestration checkout and its Kubernetes or OSMO environment are ready to install the controller and run every packaged DAG. Use for prerequisite, pre-setup, Kubernetes, GPU, RWX/NFS, credential, controller-readiness, and quick-start checks. Not for deploying the controller (use cdf-orchestration-setup, which calls this audit first), authoring payloads, or running workflows.
NVIDIAOfficial
Execute TAO container jobs on Kubernetes clusters using native Jobs and GPU scheduling.
NVIDIAOfficial
Generate synthetic PCB inspection images on Kubernetes with the SMT Defect Image Generation (DIG) DAG in CDF Orchestration. The DAG renders components in simulation, turns the renders into realistic golden images (sim2real), and uses AnomalyGen to add texture defects such as solder bridges, excess solder or missing components. Simulation can also render shift, tombstone and sideflip pose defects. Use it to build DIG payloads, pick a pipeline mode (full, simulation, sim2real or defect-only), check GPU readiness, follow a run, and match each defect image to its golden and simulated source. Not for running Simulation, Augmentation or AnomalyGen on their own.
NVIDIAOfficial
Automate the selection, validation, and deployment of NVIDIA Dynamo Kubernetes recipes.
NVIDIAOfficial
Run the CDF Orchestration Event Video Generation DAG on Kubernetes or OSMO - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation, image-to-video synthesis, Cosmos3 image2video, anomaly dataset creation, safety/surveillance SDG, or generating person-falling, person-climbing, person-running, fighting, smoking/vaping, fire/smoke, or shoplifting video clips from a seed image. Covers both event_video_generation_dag_k8s and the external-endpoints-only event_video_generation_dag_osmo. Runs environment setup first when controller readiness is unknown. Not for person-crop clothing/attribute augmentation (that is cdf-image-attribute-augmentation) and not for video style transfer.
AWSOfficial
Expert guidance for building, deploying, and troubleshooting containerized workloads on AWS EKS, ECS, and Elastic Beanstalk.
MicrosoftOfficial
Plan, provision, and configure production-ready Azure Kubernetes Service (AKS) clusters with expert guidance on Day-0 and Day-1 operations.
MicrosoftOfficial
A structured workflow for performing bounded packet captures on AKS nodes and gathering associated Azure network configuration.
MicrosoftOfficial
A guided workflow for deploying AI Runway on an existing Azure Kubernetes Service (AKS) cluster.
MicrosoftOfficial
Evidence-first, read-only diagnostic framework for troubleshooting Azure Kubernetes Service (AKS) incidents.
DockerOfficial
Standardizes the initialization of Dockerized project environments using best practices for Dockerfiles, Compose, and dependency management.
DockerOfficial
Provides patterns and rules for writing, reviewing, and optimizing Dockerfiles using BuildKit features.
DockerOfficial
Author, verify, and compose Docker Sandboxes v3 kits for agents and tools.
DockerOfficial
Standardized patterns for creating, managing, and debugging Docker Compose configurations.
ElasticOfficial
Investigate and diagnose Kubernetes workload, node, and control-plane issues using OpenTelemetry (OTel) telemetry.