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NVIDIA AI Platform · For developers
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 194 | 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 | yesterday |
| 195 | CLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 196 | Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 197 | InternVideo2-CLIP L14 (TAO videoclip) for video-text retrieval, zero-shot classification, embedding extraction, LoRA fine-tuning, ONNX export, and TensorRT deployment. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 198 | 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 | yesterday |
| 199 | PyTorch-based TAO image classification. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 200 | Pose classification using ST-GCN (Spatial Temporal Graph Convolutional Network). | NVIDIA/ | 3.6k | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 201 | A skill your agent uses when deploying, operating, or integrating the VSS 3.2 GA RT-Embed Video Embedding microservice. | NVIDIA/ | 3.6k | — | ~3.7k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 202 | A skill your agent uses to call the VIOS REST API (sensor list, timelines, clip extraction, snapshots, add/delete sensors and streams). | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 203 | 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 | yesterday |
| 204 | Runs NVIDIA garak probe suites (jailbreak, prompt injection, data leakage, toxicity, and more) against an LLM endpoint - Hugging Face models, OpenAI-compatible APIs, or Bedrock - then interprets the… | mukul975/ | 34k | — | ~2.9k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 205 | Cross-engine decision rubric for self-hosting or recommending an LLM serving stack. | agentsope/ | 436 | — | ~6.1k | Automated safety check: Pass | MIT | 2 days ago |
| 206 | 206.Agentsop Vllm Decision SOP for serving LLMs with vLLM. An agent skill from agentsope/SkillAlchemy. | agentsope/ | 436 | — | ~6.1k | Automated safety check: Pass | MIT | 2 days ago |
| 207 | 207.Engine Sglang Serve a Hugging Face model with SGLang on a Linux machine with an NVIDIA or AMD GPU, configured from the model's SGLang cookbook page — or, when it has none, from the model's own files — and join it… | autonomous-ai/ | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 208 | 208.Engine Vllm Serve a Hugging Face model with vLLM on a Linux machine with an NVIDIA or AMD GPU, configured from the model's official vLLM recipe — or, when it has none, from the model's own files — and join it… | autonomous-ai/ | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 209 | cuOpt REST server — start server, endpoints, Python/curl client examples. | NVIDIA/ | 3.6k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 210 | Prepare and run PAIDF Cosmos Predict video generation for DEFT media samples. | NVIDIA/ | 3.6k | — | ~4.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 211 | Diagnose Day-2 AKS GPU and KAITO incidents using profile-aware, read-only evidence. | microsoft/ | 255 | — | ~764 | Automated safety check: Pass | MIT | yesterday |
| 212 | 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 | yesterday |
| 213 | 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 | yesterday |
| 214 | A skill your agent uses for hands-on DOCA GPI programming — wiring a GPU-Packet-Initiator context so a CUDA kernel drives RDMA queues directly from GPU memory without host CPU mediation. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 215 | A skill your agent uses when the user is doing hands-on DOCA GPUNetIO programming — wiring a CUDA kernel on an NVIDIA GPU to a doca-eth queue via docagpuethrxq / docagpuethtxq, standing up the… | NVIDIA/ | 3.6k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 216 | A skill your agent uses when the user is building, running, or interpreting the doca/tools/gpunetioibwritebw client+server benchmark — a CUDA kernel on the client posts RDMA WRITE work requests… | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 217 | A skill your agent uses when the user is doing hands-on DOCA Rivermax work on a BlueField DPU or ConnectX host — standing up docarmaxinstream (receive) sessions for timing-precise media-over-IP… | NVIDIA/ | 3.6k | — | ~4.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 218 | A skill your agent uses to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance. | NVIDIA/ | 3.6k | — | ~4k | Automated safety check: Pass | CC-BY-4.0 | yesterday |
| 219 | Install Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 220 | 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 | yesterday |
| 221 | Install Holoscan SDK natively on Ubuntu via apt. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 222 | Install Holoscan SDK Python wheel via pip into a venv. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 223 | Guides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill. | NVIDIA/ | 3.6k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 224 | Download NVIDIA Jetson Linux BSP artifacts (BSP tarball, sample rootfs, publicsources, x-tools, guides) for the active target. | NVIDIA/ | 3.6k | — | ~3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 225 | A skill your agent uses when you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a LinuxforTegra root on the host PC. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 226 | 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 | yesterday |
| 227 | Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute. | NVIDIA/ | 3.6k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 228 | Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence. | NVIDIA/ | 3.6k | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 229 | A skill your agent uses when authoring or validating PAIDF augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or… | NVIDIA/ | 3.6k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 230 | 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 | yesterday |
| 231 | 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 | yesterday |
| 232 | Discover and run Holoscan Sensor Bridge example applications on a connected devkit. | NVIDIA/ | 3.6k | — | ~4.1k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 233 | Execute QA test plans on Holoscan Sensor Bridge hardware. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 234 | Set up the BSP source workspace: LinuxforTegra overlay tracker, bspsources, Crosstool-NG toolchain. | NVIDIA/ | 3.6k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 235 | Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 236 | Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. | NVIDIA/ | 3.6k | — | ~844 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 237 | NVIDIA App MCP: drivers, games, laptops, overlay. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 238 | NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. | NVIDIA/ | 3.6k | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 239 | 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 | yesterday |
| 240 | 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 | yesterday |