GitHub organization
Agent skills by NVIDIA, page 4
Skills by NVIDIA, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 145 | Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. | NVIDIA/ | 3.5k | 1 repo | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 146 | Generate novel drug-like molecules using the GenMol NIM microservice. | NVIDIA/ | 3.5k | 1 repo | ~1.4k | Automated safety check: Notes | Apache-2.0 | today |
| 147 | Orient users to the i4h workflow runtime and route them to the correct stage skill. | NVIDIA/ | 3.5k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 148 | Edit an existing workflow Scene or task contract. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~4.8k | Automated safety check: Pass | Apache-2.0 | today |
| 149 | Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes. | NVIDIA/ | 3.5k | 1 repo | ~2.7k | Automated safety check: Pass | Apache-2.0 | today |
| 150 | Measure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data. | NVIDIA/ | 3.5k | 1 repo | ~2.3k | Automated safety check: Notes | Apache-2.0 | today |
| 151 | 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/ | 3.5k | 1 repo | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 152 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.5k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 153 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.5k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 154 | Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 155 | A skill your agent uses for MolMIM, NVIDIA's BioNeMo NIM microservice for small-molecule latent-space generation and optimization. | NVIDIA/ | 3.5k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | today |
| 156 | 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/ | 3.5k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 157 | A skill your agent uses when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron embed/rerank retrieval recipes. | NVIDIA/ | 3.5k | 1 repo | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 158 | A skill your agent uses when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches. | NVIDIA/ | 3.5k | 1 repo | ~4.8k | Automated safety check: Pass | Apache-2.0 | today |
| 159 | A skill your agent uses for OpenFold2, NVIDIA's BioNeMo NIM microservice for monomer protein structure prediction. | NVIDIA/ | 3.5k | 1 repo | ~1.8k | Automated safety check: Notes | Apache-2.0 | today |
| 160 | A skill your agent uses for OpenFold3, NVIDIA's BioNeMo NIM microservice for biomolecular structure prediction. | NVIDIA/ | 3.5k | 1 repo | ~1.9k | Automated safety check: Notes | Apache-2.0 | today |
| 161 | Run RFDiffusion protein backbone design via NVIDIA NIM. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 162 | Person re-identification (ReID). An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~3.6k | Automated safety check: Notes | Apache-2.0 | today |
| 163 | A skill your agent uses when deploying standalone RT-VLM dense captioning or calling its REST API (uploads, captions, streams, chat-completions, Kafka). | NVIDIA/ | 3.5k | 1 repo | ~3.3k | Automated safety check: Notes | Apache-2.0 | today |
| 164 | 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/ | 3.5k | 2 repos | ~3k | Automated safety check: Notes | Apache-2.0 | today |
| 165 | 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/ | 3.5k | — | ~3.3k | Automated safety check: Notes | Apache-2.0 | today |
| 166 | Port a published computer vision paper's official code and training recipe onto a customer's own dataset, or diagnose why such a transfer produced bad numbers. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | today |
| 167 | Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. | NVIDIA/ | 3.5k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | today |
| 168 | NOTE: molecule and target inputs and your NGCAPIKEY are transmitted to external NVIDIA-hosted API endpoints on every call. | NVIDIA/ | 3.5k | 1 repo | ~1.8k | Automated safety check: Notes | Apache-2.0 | today |
| 169 | Serve and visually inspect a converted LeRobot dataset in the browser. | NVIDIA/ | 3.5k | 1 repo | ~976 | Automated safety check: Pass | Apache-2.0 | today |
| 170 | Create a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. | NVIDIA/ | 3.5k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 171 | Grade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. | NVIDIA/ | 3.5k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 172 | Convert workflow HDF5 recordings to LeRobot datasets for training or browser inspection. | NVIDIA/ | 3.5k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 173 | Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. | NVIDIA/ | 3.5k | 1 repo | ~982 | Automated safety check: Pass | Apache-2.0 | today |
| 174 | Replay a workflow HDF5 episode through its original Scene. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~972 | Automated safety check: Pass | Apache-2.0 | today |
| 175 | Record demonstrations through a workflow's teleop Task into workflow HDF5. | NVIDIA/ | 3.5k | 1 repo | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 176 | Run the maintained workflow data-to-policy pipeline from recording through checkpoint validation. | NVIDIA/ | 3.5k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 177 | Fine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. | NVIDIA/ | 3.5k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 178 | Preflight and set up the root-level workflow runtime. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | 1 repo | ~1k | Automated safety check: Pass | Apache-2.0 | today |
| 179 | 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/ | 3.5k | 1 repo | ~3.8k | Automated safety check: Pass | Apache-2.0 | today |
| 180 | Run the root-level workflow runtime policy or rule-based rollouts and verify simulator success. | NVIDIA/ | 3.5k | 1 repo | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 181 | 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/ | 3.5k | 1 repo | ~2.9k | Automated safety check: Pass | Apache-2.0 | today |
| 182 | Benchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output. | NVIDIA/ | 3.5k | 1 repo | ~3.1k | Automated safety check: Pass | Apache-2.0 | today |
| 183 | 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/ | 3.5k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 184 | 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 | today |
| 185 | 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 | today |
| 186 | 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 | today |
| 187 | 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 | today |
| 188 | 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 | today |
| 189 | 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 | today |
| 190 | A skill your agent uses when first-time NeMo Relay users want to try Relay, choose the least-complex supported quick start, or verify initial value through the CLI, a maintained integration, or… | NVIDIA/ | 190 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 191 | Build DeepStream GStreamer pipelines interactively. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | today |
| 192 | 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 | today |