Skill collection
NVIDIA/skills agent skills, page 7
Skills in NVIDIA/skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 289 | Exports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence packs to MLflow. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 290 | Build, migrate, review, and maintain third-party NVIDIA NeMo Fabric adapters against the public adapter contract. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | today |
| 291 | A skill your agent uses when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own… | NVIDIA/ | 3.6k | — | ~5.8k | Automated safety check: Pass | Apache-2.0 | today |
| 292 | Validate and use selective and full activation recompute in Megatron Bridge to reduce GPU memory usage at the cost of extra compute. | NVIDIA/ | 3.6k | — | ~4.7k | Automated safety check: Pass | Apache-2.0 | today |
| 293 | A skill your agent uses when searching, extracting, ingesting, or querying a document collection with the NeMo Retriever 26.8.1 CLI, including local LanceDB indexes and deployed Retriever services. | NVIDIA/ | 3.6k | — | ~583 | Automated safety check: Pass | Apache-2.0 | today |
| 294 | Brev instance operating guidance for NeMo-RL agents working in /home/ubuntu/RL with limited workspace disk, a larger /ephemeral volume, and optional /home/ubuntu/RL/.env secrets. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 295 | Manage durable working-session memory for coding agents. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 296 | Orchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. | NVIDIA/ | 3.6k | — | ~3k | Automated safety check: Pass | Apache-2.0 | today |
| 297 | Used for finetuning NV-Generate-CTMR MR-Brain v1 for T1, T2, FLAIR, SWI, or MRA data from a NIfTI datalist. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | today |
| 298 | Used for finetuning the NV-Generate-CTMR MAISI VAE from CT/MRI NIfTI datalists. | NVIDIA/ | 3.6k | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | today |
| 299 | Run NV-Reason-CT inference on user-provided 3D NIfTI chest or abdominal CT volumes for engineering and research workflows. | NVIDIA/ | 3.6k | — | ~4.6k | Automated safety check: Notes | Apache-2.0 | today |
| 300 | Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Notes | Apache-2.0 | today |
| 301 | Used for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence. | NVIDIA/ | 3.6k | — | ~2.1k | Automated safety check: Notes | Apache-2.0 | today |
| 302 | Used for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. | NVIDIA/ | 3.6k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | today |
| 303 | Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use only when the request names… | NVIDIA/ | 3.6k | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | today |
| 304 | Convert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use when the user names plain PyTorch or… | NVIDIA/ | 3.6k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 305 | Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count, failurecount, pixel-intensity histogram) across… | NVIDIA/ | 3.6k | — | ~3k | Automated safety check: Pass | Apache-2.0 | today |
| 306 | Internal NVFLARE conversion references and templates. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | today |
| 307 | A skill your agent uses when authoring or validating PAIDF augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or… | NVIDIA/ | 3.6k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 | today |
| 308 | A skill your agent uses when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning… | NVIDIA/ | 3.6k | — | ~8.2k | Automated safety check: Pass | Apache-2.0 | today |
| 309 | Run tao-daft convert to convert NVIDIA TAO DAFT datasets between supported formats. | NVIDIA/ | 3.6k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 310 | Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. | NVIDIA/ | 3.6k | — | ~878 | Automated safety check: Notes | Apache-2.0 | today |
| 311 | Routes the weakest VCN samples (output of tao-analyze-gaps-visual-changenet) into per-augmentation-module subsets based on each module's label eligibility. | NVIDIA/ | 3.6k | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | today |
| 312 | Run tao-daft validate to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors. | NVIDIA/ | 3.6k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | today |
| 313 | Add a new cuTile GPU kernel operator to TileGym. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 314 | A skill your agent uses to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip. | NVIDIA/ | 3.6k | — | ~1.4k | Automated safety check: Notes | Apache-2.0 | today |
| 315 | A skill your agent uses when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). | NVIDIA/ | 3.6k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 316 | A skill your agent uses when choosing or running NeMo Relay installation for the CLI, Python, Node.js, Rust, OpenClaw, Hermes, or maintained framework integrations before runtime configuration or… | NVIDIA/ | 3.6k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 317 | Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. | NVIDIA/ | 3.6k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 318 | Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads. | NVIDIA/ | 3.6k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 319 | A skill your agent uses when porting circuits from another framework (e.g. | NVIDIA/ | 3.6k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 320 | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. | NVIDIA/ | 3.6k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 321 | Stage 3 of Clinical ASR Flywheel. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | today |
| 322 | Discover and run Holoscan Sensor Bridge example applications on a connected devkit. | NVIDIA/ | 3.6k | — | ~4.1k | Automated safety check: Notes | Apache-2.0 | today |
| 323 | Execute QA test plans on Holoscan Sensor Bridge hardware. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | today |
| 324 | Enable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI. | NVIDIA/ | 3.6k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | today |
| 325 | Per-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. | NVIDIA/ | 3.6k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 326 | Configure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. | NVIDIA/ | 3.6k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | today |
| 327 | Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. | NVIDIA/ | 3.6k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 328 | Set up the BSP source workspace: LinuxforTegra overlay tracker, bspsources, Crosstool-NG toolchain. | NVIDIA/ | 3.6k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | today |
| 329 | Author a new Jetson target-platform profile (referencedevkit + optional customcarrier) and update the active pointer. | NVIDIA/ | 3.6k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | today |
| 330 | Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. | NVIDIA/ | 3.6k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | today |
| 331 | Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. | NVIDIA/ | 3.6k | — | ~844 | Automated safety check: Pass | Apache-2.0 | today |
| 332 | A skill your agent uses when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTIONEXCEPTION, or produced suspicious… | NVIDIA/ | 3.6k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 333 | NVIDIA App MCP: drivers, games, laptops, overlay. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | today |
| 334 | Coordinate the end-to-end CAD/source-asset to SimReady workflow. | NVIDIA/ | 3.6k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | today |
| 335 | Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents. | NVIDIA/ | 3.6k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | today |
| 336 | Top-level workflow skill for USD performance diagnosis and optimization. | NVIDIA/ | 3.6k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | today |