Search
NVIDIA/skills
Skills
Sort:BestMost starsTrending todayTrending this weekTrending this monthNewestRecently updatedName
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when the user wants to deploy, run, debug, tear down, or call the REST API of the RTVI-CV 2D detection / tracking microservice. | NVIDIA/ | 3.6k | 1 repo | ~4.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 2 | Generates, validates, compares and explains HOLOLINK_def.svh macro files for the HSB IP, using bundled Python scripts and asking before it writes anything. | NVIDIA/ | 3.6k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 3 | Runs and validates an end-to-end Mission Control demo in a locally installed Isaac Sim, with a Nova Carter robot driven through a Python server. | NVIDIA/ | 3.6k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 4 | Orchestrates defect image generation for PCBA, metal surface and glass inspection with NVIDIA Cosmos AnomalyGen on OSMO, from cold-start Day 0 to real-photo Day 1 labeling. | NVIDIA/ | 3.6k | — | ~5k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 5 | Orchestrates video data augmentation and auto-labeling workflows on OSMO, from flow selection and preflight checks to submission, monitoring and output download. | NVIDIA/ | 3.6k | — | ~4.7k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 6 | Runs NVIDIA TAO Data Services KPI analysis on object detection results, comparing predictions to ground truth and writing per-class precision, recall and AP to a CSV. | NVIDIA/ | 3.6k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 7 | Runs TAO Data Services gap analysis that compares ground-truth and predicted boxes to find weak images by per-class recall, precision and AP50. | NVIDIA/ | 3.6k | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 8 | Compares a vision-language model's yes/no predictions with ground truth and writes the false-positive and false-negative cases to a JSONL file with a summary report. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 9 | Turns a parquet of image file paths into a parquet of embeddings with CLIP, SigLIP or a TAO checkpoint, using the TAO Data Services container, ahead of neighbor mining. | NVIDIA/ | 3.6k | — | ~2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 10 | Run TAO Data Services TMM nearest-neighbor mining from embedding parquet files. | NVIDIA/ | 3.6k | — | ~1.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 11 | Run TAO Data Services TMM unique-neighbor matching mining from embedding parquet files for object detection workflows. | NVIDIA/ | 3.6k | — | ~2.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 12 | Start or patch Dynamo router modes and run router endpoint smoke checks. | NVIDIA/ | 3.6k | 1 repo | ~1.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 13 | Diagnose failed or unhealthy Dynamo deployments. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 14 | Generate and analyze DNA sequences using NVIDIA's Evo 2 BioNeMo NIM microservice. | NVIDIA/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 15 | Generate multiple sequence alignments (MSAs) for protein sequences using the ColabFold MSA-Search NIM. | NVIDIA/ | 3.6k | 1 repo | ~4.6k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 16 | Run ProteinMPNN inverse folding via NVIDIA NIM to design protein sequences for a target backbone. | NVIDIA/ | 3.6k | 1 repo | ~2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 17 | Fine-tune public CodonFM Encodon checkpoints on labeled coding-sequence or coding-variant data using LoRA, head-only, or full fine-tuning. | NVIDIA/ | 3.6k | 1 repo | ~2.4k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 18 | Run the mining-based DEFT improvement workflow for ITS Cosmos-Reason binary video questions, focused on the non-reasoning classification/evaluation path. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 19 | Run DiffDock molecular docking via NVIDIA NIM to predict small-molecule binding poses against protein targets. | NVIDIA/ | 3.6k | 1 repo | ~1.1k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 20 | Validate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. | NVIDIA/ | 3.6k | 1 repo | ~1.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 21 | Generate novel drug-like molecules using the GenMol NIM microservice. | NVIDIA/ | 3.6k | 1 repo | ~1.4k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 22 | Orient users to the i4h workflow runtime and route them to the correct stage skill. | NVIDIA/ | 3.6k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 23 | Edit an existing workflow Scene or task contract. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~4.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 24 | Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes. | NVIDIA/ | 3.6k | 1 repo | ~2.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 25 | 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 | yesterday |
| 26 | 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 | yesterday |
| 27 | 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 | yesterday |
| 28 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 29 | Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 30 | 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 | yesterday |
| 31 | 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 | yesterday |
| 32 | A skill your agent uses when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron embed/rerank retrieval recipes. | NVIDIA/ | 3.6k | 1 repo | ~2.6k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 33 | 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 | yesterday |
| 34 | 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 | yesterday |
| 35 | 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 | yesterday |
| 36 | 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 | yesterday |
| 37 | 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 | yesterday |
| 38 | 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 | yesterday |
| 39 | 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 | yesterday |
| 40 | 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/ | 3.6k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 41 | Evaluate whether an existing hot path is a credible NVIDIA Warp candidate. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 42 | 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 | yesterday |
| 43 | Serve and visually inspect a converted LeRobot dataset in the browser. | NVIDIA/ | 3.6k | 1 repo | ~976 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 44 | Create a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. | NVIDIA/ | 3.6k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 45 | Grade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. | NVIDIA/ | 3.6k | 1 repo | ~1.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 46 | Convert workflow HDF5 recordings to LeRobot datasets for training or browser inspection. | NVIDIA/ | 3.6k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 47 | Expand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. | NVIDIA/ | 3.6k | 1 repo | ~982 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 48 | Replay a workflow HDF5 episode through its original Scene. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~972 | Automated safety check: Pass | Apache-2.0 | yesterday |