GitHub organization
Agent skills by NVIDIA, page 5
Skills by NVIDIA, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | Convert a groverbase checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latentdist, then continue pretraining on the user's… | NVIDIA/ | 3.5k | 1 repo | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 194 | Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. | NVIDIA/ | 3.5k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 195 | Pretrain a fresh KERMT model from scratch on a user-provided corpus. | NVIDIA/ | 3.5k | 1 repo | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 196 | 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/ | 3.5k | 1 repo | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 197 | NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. | NVIDIA/ | 3.5k | 1 repo | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 198 | Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. | NVIDIA/ | 3.5k | 1 repo | ~4.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 199 | Run NV-Reason-CT inference on user-provided 3D NIfTI chest or abdominal CT volumes for engineering and research workflows. | NVIDIA/ | 3.5k | 1 repo | ~4.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 200 | Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence. | NVIDIA/ | 3.5k | 1 repo | ~2.1k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 201 | Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. | NVIDIA/ | 3.5k | 1 repo | ~2.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 202 | Build DeepStream GStreamer pipelines interactively. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 203 | A skill your agent uses to bring a supported object-detection vision model from HuggingFace or NVIDIA NGC into an NVIDIA DeepStream pipeline with end-to-end automation: ONNX download, SafeTensors… | NVIDIA/ | 3.5k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 204 | Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. | NVIDIA/ | 3.5k | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 205 | Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. | NVIDIA/ | 3.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 206 | Clone the latest NVIDIA Holoscan Sensor Bridge repo, ask which supported devkit is being used, configure the host per platform, build the correct demo container, run it, and verify HSB connectivity… | NVIDIA/ | 3.5k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 207 | Per-pin SFIO / direction / initial-state configurator for a Jetson Orin or Thor custom carrier from the pinmux XLSM. | NVIDIA/ | 3.5k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 208 | Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. | NVIDIA/ | 3.5k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 209 | Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw. | NVIDIA/ | 3.5k | — | ~4.5k | Automated safety check: Pass | Proprietary | yesterday |
| 210 | Use only to generate or update a governance skill card for a specified existing agent skill directory. | NVIDIA/ | 3.5k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 211 | Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. | NVIDIA/ | 3.5k | — | ~5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 212 | Run the disk-backed DEFT AOI improvement loop for NVIDIA Cosmos Reason 3 / Cosmos3 models, using Nano by default and Edge or Super when explicitly requested: evaluate the base model on Proxy and… | NVIDIA/ | 3.5k | — | ~5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 213 | Run iterative improvement for NVIDIA TAO CLIP / SigLIP image-text retrieval on attribute-labelled data. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 214 | Host setup for TAO GPU backends. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 215 | Optical Inspection for defect detection using Siamese networks. | NVIDIA/ | 3.5k | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 216 | Sparse4D for multi-camera temporal 3D object detection and tracking. | NVIDIA/ | 3.5k | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 217 | Visual ChangeNet for binary image classification and segmentation in AOI defect detection. | NVIDIA/ | 3.5k | — | ~4.7k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 218 | Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. | NVIDIA/ | 3.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 219 | A skill your agent uses to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). | NVIDIA/ | 3.5k | — | ~5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 220 | A skill your agent uses when compile time or startup time is the problem in code that uses Warp: a request to improve, optimize, or cut compile times; an app that is slow to start or stalls at the… | NVIDIA/ | 3.5k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 221 | Use Boltz2 NIM for biomolecular structure prediction and binding affinity. | NVIDIA/ | 3.5k | 1 repo | ~1.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 222 | A skill your agent uses when measuring Jetson Video Codec SDK or PyNvVideoCodec encode/decode throughput, comparing presets or surfaces, testing codec-worker capacity with authenticated samples and… | NVIDIA/ | 3.5k | 1 repo | ~1.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 223 | A skill your agent uses when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA… | NVIDIA/ | 3.5k | 1 repo | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 224 | A skill your agent uses when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise… | NVIDIA/ | 3.5k | 1 repo | ~2.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 225 | A skill your agent uses when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections. | NVIDIA/ | 3.5k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 226 | A skill your agent uses when installing, repairing, reusing, inspecting, or verifying readiness of the native NVIDIA Video Codec SDK or PyNvVideoCodec on Jetson, including the one-frame… | NVIDIA/ | 3.5k | 1 repo | ~2.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 227 | Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. | NVIDIA/ | 3.5k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 228 | A skill your agent uses when assessing, extending, or implementing NeMo Relay support in an agent harness or agent framework, including coding agents and orchestration runtimes, when the host lacks… | NVIDIA/ | 192 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | today |
| 229 | Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. | NVIDIA/ | 3.5k | — | ~4.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 230 | Run end-to-end calibration on the shipped sample dataset (sdg082sampledata010926.zip) against a running AMC microservice. | NVIDIA/ | 3.5k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 231 | Calibrates pre-recorded cam.mp4 datasets through the AutoMagicCalib REST API. | NVIDIA/ | 3.5k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 232 | Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. | NVIDIA/ | 3.5k | — | ~919 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 233 | DALI imperative dynamic mode (nvidia.dali.experimental.dynamic, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks. | NVIDIA/ | 3.5k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 234 | Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names… | NVIDIA/ | 3.5k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 235 | A skill your agent uses when controlling NVIDIA Broadcast through MCP to apply effects, process local media, select devices, or change camera resolution, or when Broadcast is missing or too old to… | NVIDIA/ | 3.5k | — | ~10k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 236 | Run the PAIDF Orchestration Event Video Generation DAG on Kubernetes - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. | NVIDIA/ | 3.5k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 237 | Run the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 238 | Full PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nnscore), and search per-sample (guidance, cropratio) parameters. | NVIDIA/ | 3.5k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 239 | A skill your agent uses when adding, modifying, optimizing, or debugging CuTile autotuning code. | NVIDIA/ | 3.5k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 240 | A skill your agent uses to summarize a recorded video via the LVS summarization microservice (HITL-gated) with a VLM fallback. | NVIDIA/ | 3.5k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | yesterday |