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NVIDIA/skills
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | Record demonstrations through a workflow's teleop Task into workflow HDF5. | NVIDIA/ | 3.6k | 1 repo | ~1.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 50 | Run the maintained workflow data-to-policy pipeline from recording through checkpoint validation. | NVIDIA/ | 3.6k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 51 | Fine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. | NVIDIA/ | 3.6k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 52 | Preflight and set up the root-level workflow runtime. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 53 | A skill your agent uses when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff. | NVIDIA/ | 3.6k | 1 repo | ~3.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 54 | Run the root-level workflow runtime policy or rule-based rollouts and verify simulator success. | NVIDIA/ | 3.6k | 1 repo | ~2.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 55 | Pick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson. | NVIDIA/ | 3.6k | 1 repo | ~2.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 56 | Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output. | NVIDIA/ | 3.6k | 1 repo | ~3.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 57 | A skill your agent uses when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. | NVIDIA/ | 3.6k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 58 | 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/ | 3.6k | 1 repo | ~2.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 59 | Run predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. | NVIDIA/ | 3.6k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 60 | Pretrain a fresh KERMT model from scratch on a user-provided corpus. | NVIDIA/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 61 | 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 | 2 days ago |
| 62 | NOTE: your protein sequence and the retrieved MSA alignment are transmitted to external NVIDIA-hosted APIs (health.api.nvidia.com) on every call. | NVIDIA/ | 3.6k | 1 repo | ~1.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 63 | Generates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. | NVIDIA/ | 3.6k | 1 repo | ~4.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 64 | Validate, prepare, or run public CodonFM Encodon masked-codon variant scoring and review compatibility of its scoring workflows. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 65 | Set up the public CodonFM v1 repository and download public Encodon checkpoints. | NVIDIA/ | 3.6k | 1 repo | ~3.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 66 | Build DeepStream GStreamer pipelines interactively. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 67 | 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/ | 3.6k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 68 | Profile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. | NVIDIA/ | 3.6k | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 69 | Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 70 | 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/ | 3.6k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 71 | Per-pin SFIO / direction / initial-state configurator for a Jetson Orin or Thor custom carrier from the pinmux XLSM. | NVIDIA/ | 3.6k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 72 | Use after jetson-flash-image to run static BSP checks, on-target smoke/regression tests on a flashed DUT, or both. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 73 | A skill your agent uses for agent-assisted Auto-FL optimization of an existing NVFLARE job in simulation, POC, or production. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 74 | Scaffold a standalone RTVI CV microservice that plugs into VSS Search and Alerts profiles via Kafka mdx-raw. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Pass | Proprietary | 2 days ago |
| 75 | Use only to generate or update a governance skill card for a specified existing agent skill directory. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 76 | Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 77 | 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/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 78 | Run iterative improvement for NVIDIA TAO CLIP / SigLIP image-text retrieval on attribute-labelled data. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 79 | Host setup for TAO GPU backends. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 80 | Optical Inspection for defect detection using Siamese networks. | NVIDIA/ | 3.6k | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 81 | Sparse4D for multi-camera temporal 3D object detection and tracking. | NVIDIA/ | 3.6k | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 82 | Visual ChangeNet for binary image classification and segmentation in AOI defect detection. | NVIDIA/ | 3.6k | — | ~4.7k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 83 | Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. | NVIDIA/ | 3.6k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 84 | A skill your agent uses to select, configure, deploy, verify, debug, or tear down a VSS profile (base, search, lvs, warehouse, edge). | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 85 | 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 | 2 days ago |
| 86 | 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/ | 3.6k | — | ~3.5k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 87 | Use Boltz2 NIM for biomolecular structure prediction and binding affinity. | NVIDIA/ | 3.6k | 1 repo | ~1.4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 88 | 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/ | 3.6k | 1 repo | ~1.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 89 | 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/ | 3.6k | 1 repo | ~2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 90 | 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/ | 3.6k | 1 repo | ~2.2k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 91 | 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/ | 3.6k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 92 | 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/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 93 | Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. | NVIDIA/ | 3.6k | — | ~4.6k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 94 | Run end-to-end calibration on the shipped sample dataset (sdg082sampledata010926.zip) against a running AMC microservice. | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 95 | Calibrates pre-recorded cam.mp4 datasets through the AutoMagicCalib REST API. | NVIDIA/ | 3.6k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 96 | Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. | NVIDIA/ | 3.6k | — | ~919 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
