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NVIDIA AI Platform
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 193 | Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data. | NVIDIA/ | 3.6k | 1 repo | ~2.3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 194 | Pick Jetson-compatible containers, vLLM runtime images, and Jetson AI Lab PyPI indexes; maps Orin SM 8.7 vs Thor SM 11.0 and JetPack-specific package choices. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 195 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 196 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 197 | A skill your agent uses for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 198 | Plan, configure, and chain repo-native Nemotron customization steps into single-step or multi-step pipelines: curation, translation, SFT/PEFT (AutoModel or Megatron-Bridge), pretraining/CPT, RL… | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 199 | A skill your agent uses when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches. | NVIDIA/ | 3.6k | 1 repo | ~4.8k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 200 | 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 | 2 days ago |
| 201 | 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 | 2 days ago |
| 202 | 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 | 2 days ago |
| 203 | A skill your agent uses when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). | NVIDIA/ | 3.6k | 1 repo | ~3.3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 204 | Validate coding-sequence CSVs, extract public CodonFM/Encodon embeddings, and choose checkpoints for downstream property modeling. | NVIDIA/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 205 | 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 | 2 days ago |
| 206 | Check whether a CV-CUDA operator is READY to optimize (correctness + bench coverage + captured baseline + profiling) per .agents/guidance/OPTIMIZATIONGUIDELINES.md. | CVCUDA/ | 2.7k | — | ~255 | Automated safety check: Pass | Unknown | 24 days ago |
| 207 | Run the full DEFT smart-data-augmentation loop for NVIDIA TAO Grounding DINO object detection: zero-shot baseline inference, KPI analysis, per-class gap analysis, SigLIP embedding of weak images… | NVIDIA/ | 3.6k | — | ~3.3k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 208 | Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 209 | NOTE: molecule and target inputs and your NGCAPIKEY are transmitted to external NVIDIA-hosted API endpoints on every call. | NVIDIA/ | 3.6k | 1 repo | ~1.8k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 210 | 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 |
| 211 | 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 |
| 212 | 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 |
| 213 | 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 |
| 214 | 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 |
| 215 | 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 |
| 216 | 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 |
| 217 | 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 |
| 218 | 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 |
| 219 | Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. | google/ | 21k | — | ~2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 220 | 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 |
| 221 | 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 |
| 222 | 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 |
| 223 | 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 |
| 224 | 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 |
| 225 | 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 |
| 226 | 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 |
| 227 | 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 |
| 228 | 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 |
| 229 | 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 |
| 230 | 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 |
| 231 | 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 |
| 232 | 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 |
| 233 | Optical Inspection for defect detection using Siamese networks. | NVIDIA/ | 3.6k | — | ~4.4k | Automated safety check: Notes | Apache-2.0 | 2 days ago |
| 234 | 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 |
| 235 | 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 |
| 236 | 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 |
| 237 | 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 |
| 238 | 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 |
| 239 | 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 |
| 240 | 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 |