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DevOps & Cloud · NVIDIA AI Platform
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | A skill your agent uses for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Notes | Apache-2.0 | today |
| 50 | A skill your agent uses for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | today |
| 51 | Run RFDiffusion protein backbone design via NVIDIA NIM. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 52 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | sickn33/ | 47k | 1 repo | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 53 | Bootstrap the KERMT agent environment — verify host docker + nvidia-container-toolkit, build the kermt:latest image from the repo's Dockerfile if it doesn't yet exist, and run a GPU smoke test… | NVIDIA/ | 3.6k | 1 repo | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 54 | Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 55 | Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | today |
| 56 | Host setup for TAO GPU backends. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | today |
| 57 | A skill your agent uses for VSS alert workflows — real-time monitoring, Alert-Bridge subscriptions, Slack notifications, incident queries, camera onboarding. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | today |
| 58 | Use Boltz2 NIM for biomolecular structure prediction and binding affinity. | NVIDIA/ | 3.6k | 1 repo | ~1.4k | Automated safety check: Notes | Apache-2.0 | today |
| 59 | 59.Slime RL post-training for LLMs with Megatron and SGLang. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~2.7k | Automated safety check: Pass | MIT | 2 days ago |
| 60 | Model and publish semantic definitions in Auto Ontology. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 61 | Set up or troubleshoot the Auto Ontology runtime. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | today |
| 62 | A skill your agent uses to deploy and operate a CollectX (clx) based DOCA telemetry collector on a host or BlueField — wiring providers / counters into the collector, running the collection daemon… | NVIDIA/ | 3.6k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 63 | 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/ | 3.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | today |
| 64 | Performs gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via docker run … gapanalysis vcnaoi … — picks the… | NVIDIA/ | 3.6k | — | ~4.3k | Automated safety check: Notes | Apache-2.0 | today |
| 65 | The mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | today |
| 66 | Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). | NVIDIA/ | 3.6k | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | today |
| 67 | A skill your agent uses to run top-level VSS fusion search on archived video, or to ingest video files / RTSP streams for search. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | today |
| 68 | cuOpt REST server — start server, endpoints, Python/curl client examples. | NVIDIA/ | 3.6k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 69 | Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. | microsoft/ | 255 | — | ~764 | Automated safety check: Pass | MIT | today |
| 70 | Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | today |
| 71 | A skill your agent uses when the user is deploying or operating the DOCA Argus Service — the packaged BlueField-side runtime-security container that watches the BlueField and attached host for… | NVIDIA/ | 3.6k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | today |
| 72 | Operate NVIDIA DOCA Management Service (dmsd + dmspe) on a BlueField, Arm/x86 host, or Kubernetes pod: choose deployment and authentication, configure -allowedusers and dmsgroup, use gNMI… | NVIDIA/ | 3.6k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | today |
| 73 | Install Holoscan SDK via the NGC Docker container. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 74 | A skill your agent uses when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own… | NVIDIA/ | 3.6k | — | ~5.8k | Automated safety check: Pass | Apache-2.0 | today |
| 75 | A skill your agent uses when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). | NVIDIA/ | 3.6k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 76 | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. | NVIDIA/ | 3.6k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 77 | 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/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | today |
| 78 | 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/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | today |
| 79 | Build Holoscan SDK from source via the in-tree ./run script. | NVIDIA/ | 3.6k | — | ~1.5k | Automated safety check: Notes | Apache-2.0 | today |
| 80 | 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/ | 3.6k | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | today |
| 81 | 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/ | 3.6k | — | ~4.9k | Automated safety check: Warn | Apache-2.0 | today |
| 82 | Deploy inference services on CoreWeave with Helm charts and Kustomize. | jeremylongshore/ | 2.8k | — | ~1.5k | Automated safety check: Pass | MIT | today |
| 83 | Deploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. | BagelHole/ | 1.2k | — | ~2.1k | Automated safety check: Pass | MIT | 4 mo ago |
| 84 | 84.Setup Prover Set up and deploy a Boundless prover to a GPU server using Ansible. | boundless-xyz/ | 193 | — | ~4.1k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 85 | Generates an executable, end-to-end VERL reinforcement learning quickstart runbook for Ascend/NPU (docker image, dataset preprocessing, model setup, mainppo training, and examples/run.sh flow). | ascend-ai-coding/ | 174 | — | ~592 | Automated safety check: Pass | No licence | today |
| 86 | Audit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar. | NVIDIA/ | 3.6k | — | ~3.8k | Automated safety check: Warn | Apache-2.0 | today |
| 87 | 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/ | 3.6k | — | ~1.5k | Automated safety check: Warn | Apache-2.0 | today |
| 88 | The Docker execution platform for TAO jobs — a local daemon or a remote GPU box via DOCKERHOST=ssh://user@host. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Warn | Apache-2.0 | today |