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Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 145 | 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 | yesterday |
| 146 | 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 | yesterday |
| 147 | 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 | yesterday |
| 148 | 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 | yesterday |
| 149 | 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 |
| 150 | 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 | yesterday |
| 151 | Select, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 152 | 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 | yesterday |
| 153 | Run container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 154 | 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 | yesterday |
| 155 | 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 | yesterday |
| 156 | Host setup for TAO GPU backends. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~3.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 157 | 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 | yesterday |
| 158 | Use Boltz2 NIM for biomolecular structure prediction and binding affinity. | NVIDIA/ | 3.6k | 1 repo | ~1.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 159 | 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 | yesterday |
| 160 | Optimize RMS Normalization kernels in Triton for NVIDIA and AMD GPUs. | ZJLi2013/ | 102 | — | ~728 | Automated safety check: Pass | No licence | 6 mo ago |
| 161 | 161.System Profile Profile a target (script, process, GPU, memory, interconnect) using external tools and code instrumentation. | AI4Scientist/ | 128 | 4 repos | ~1.1k | Automated safety check: Pass | No licence | 4 mo ago |
| 162 | 162.Accelerate Run PyTorch training across GPUs with minimal changes. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~2.3k | Automated safety check: Pass | MIT | 3 days ago |
| 163 | 163.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 | 3 days ago |
| 164 | 164.Tensorrt LLM High-throughput LLM inference on NVIDIA GPUs. An agent skill from Luciole-Studio/Misaka-Agent. | Luciole-Studio/ | 171 | 1 repo | ~1.3k | Automated safety check: Pass | MIT | 3 days ago |
| 165 | DALI imperative dynamic mode (nvidia.dali.experimental.dynamic, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks. | NVIDIA/ | 3.6k | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 166 | Plan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 167 | Stand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin. | NVIDIA/ | 3.6k | 1 repo | ~3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 168 | Add EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck. | NVIDIA/ | 3.6k | 1 repo | ~1.2k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 169 | 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 | yesterday |
| 170 | Query Auto Ontology and validate generated SQL, rows, and answers. | NVIDIA/ | 3.6k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 171 | 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 | yesterday |
| 172 | Optimize fused softmax kernels in Triton for NVIDIA and AMD GPUs. | ZJLi2013/ | 102 | — | ~742 | Automated safety check: Pass | No licence | 6 mo ago |
| 173 | A skill your agent uses for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 174 | Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). | NVIDIA/ | 3.6k | — | ~3.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 175 | NVIDIA DeepStream SDK development with Python pyservicemaker API. | NVIDIA/ | 3.6k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 176 | Run and operate the DeepStream Multi-View 3D Tracking reference app, also known as MV3DT. | NVIDIA/ | 3.6k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 177 | A skill your agent uses when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether… | NVIDIA/ | 3.6k | — | ~4.7k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 178 | Stage 1 of Clinical ASR Flywheel. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 179 | 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 | yesterday |
| 180 | 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 | yesterday |
| 181 | A skill your agent uses when the user needs to locate authoritative information about NVIDIA DOCA without access to the source tree — finding the right docs.nvidia.com page for a… | NVIDIA/ | 3.6k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 182 | Install or repair the FoundationPose perception pipeline and build its FoundationStereo TensorRT engines. | NVIDIA/ | 3.6k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 183 | A skill your agent uses for non-failing HoloHub app work with ./holohub: scaffold, build, run, test, visual evidence, lint, and flow benchmarking. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 184 | A skill your agent uses to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. | NVIDIA/ | 3.6k | — | ~4.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 185 | A skill your agent uses to promote overlay files and built artifacts into the staged BSP image. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 186 | Routes NVIDIA Nemotron Speech (Formerly Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted. | NVIDIA/ | 3.6k | — | ~3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 187 | Used for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 188 | A skill your agent uses for NVIDIA-related requests where an NVIDIA skill might help, even if the user did not ask for a skill. | NVIDIA/ | 3.6k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 189 | A skill your agent uses when operating PAIDF Curation and Retrieval or NVIDIA Cosmos Curator pipelines (split, filter, caption, embed, dedup, shard, image annotate) or PAIDF Data Mining… | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 190 | Router for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets. | NVIDIA/ | 3.6k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 191 | Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse… | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 192 | Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and… | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |