GitHub organization
Agent skills by NVIDIA, page 10
Skills by NVIDIA, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 433 | 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/ | 3.5k | — | ~8.2k | Automated safety check: Pass | Apache-2.0 | today |
| 434 | Run tao-daft convert to convert NVIDIA TAO DAFT datasets between supported formats. | NVIDIA/ | 3.5k | — | ~1.3k | Automated safety check: Notes | Apache-2.0 | today |
| 435 | Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. | NVIDIA/ | 3.5k | — | ~878 | Automated safety check: Notes | Apache-2.0 | today |
| 436 | 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/ | 3.5k | — | ~3.1k | Automated safety check: Notes | Apache-2.0 | today |
| 437 | Run tao-daft validate to check NVIDIA TAO DAFT datasets for structure, schema, and cross-reference errors. | NVIDIA/ | 3.5k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | today |
| 438 | Add a new cuTile GPU kernel operator to TileGym. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 439 | A skill your agent uses to ask the VSS agent's videounderstanding tool a fresh visual question about a recorded clip. | NVIDIA/ | 3.5k | — | ~1.4k | Automated safety check: Notes | Apache-2.0 | today |
| 440 | A skill your agent uses when reading video-analytics metrics, incidents, alerts, and sensor data via the VA-MCP server (port 9901). | NVIDIA/ | 3.5k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 441 | 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/ | 3.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 442 | Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. | NVIDIA/ | 3.5k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 443 | Create and push a signed, annotated NeMo Relay beta tag from its release branch or validated main. | NVIDIA/ | 190 | — | ~728 | Automated safety check: Pass | Apache-2.0 | today |
| 444 | Create and push a signed, annotated NeMo Relay release-candidate tag from its validated release branch. | NVIDIA/ | 190 | — | ~635 | Automated safety check: Pass | Apache-2.0 | today |
| 445 | Create and push a signed, annotated NeMo Relay stable tag, then prepare an unpublished GitHub Release draft for review. | NVIDIA/ | 190 | — | ~827 | Automated safety check: Pass | Apache-2.0 | today |
| 446 | 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/ | 3.5k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 447 | A skill your agent uses when porting circuits from another framework (e.g. | NVIDIA/ | 3.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 448 | Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. | NVIDIA/ | 3.5k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 449 | Stage 3 of Clinical ASR Flywheel. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | — | ~4.6k | Automated safety check: Pass | Apache-2.0 | today |
| 450 | Discover and run Holoscan Sensor Bridge example applications on a connected devkit. | NVIDIA/ | 3.5k | — | ~4.1k | Automated safety check: Notes | Apache-2.0 | today |
| 451 | Execute QA test plans on Holoscan Sensor Bridge hardware. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | today |
| 452 | 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/ | 3.5k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | today |
| 453 | Per-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. | NVIDIA/ | 3.5k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 454 | Configure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. | NVIDIA/ | 3.5k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | today |
| 455 | Enable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. | NVIDIA/ | 3.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 456 | Set up the BSP source workspace: LinuxforTegra overlay tracker, bspsources, Crosstool-NG toolchain. | NVIDIA/ | 3.5k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | today |
| 457 | Author a new Jetson target-platform profile (referencedevkit + optional customcarrier) and update the active pointer. | NVIDIA/ | 3.5k | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | today |
| 458 | Convert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. | NVIDIA/ | 3.5k | — | ~3.9k | Automated safety check: Pass | Apache-2.0 | today |
| 459 | Create, refine, or fix NVIDIA voice agents (Cascaded or Omni) with Pipecat or LiveKit. | NVIDIA/ | 3.5k | — | ~844 | Automated safety check: Pass | Apache-2.0 | today |
| 460 | 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/ | 3.5k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 461 | NVIDIA App MCP: drivers, games, laptops, overlay. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.5k | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | today |
| 462 | Coordinate the end-to-end CAD/source-asset to SimReady workflow. | NVIDIA/ | 3.5k | — | ~2.7k | Automated safety check: Notes | Apache-2.0 | today |
| 463 | Use as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents. | NVIDIA/ | 3.5k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 | today |
| 464 | Top-level workflow skill for USD performance diagnosis and optimization. | NVIDIA/ | 3.5k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | today |
| 465 | NVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. | NVIDIA/ | 3.5k | — | ~2.8k | Automated safety check: Notes | Apache-2.0 | today |
| 466 | Filesystem RAG benchmarks: corpus/, train.json, evaluaterag.py (RAGAS quality). | NVIDIA/ | 3.5k | — | ~2.3k | Automated safety check: Notes | Apache-2.0 | today |
| 467 | Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. | NVIDIA/ | 3.5k | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | today |
| 468 | How to swap the DeepStream CV detection model in the VSS Alerts Blueprint verification (2dcv) mode - covers ONNX export, custom bbox parsers, compose mount gotchas, nvinfer config, runtime TRT… | NVIDIA/ | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | today |
| 469 | How to swap the VLM in the VSS Alerts Blueprint — covers RTVI-VLM microservice deployment methods, all three VLM consumers (rtvi-vlm, vlm-as-verifier, vss-agent), and health checks. | NVIDIA/ | 3.5k | — | ~5k | Automated safety check: Notes | Apache-2.0 | today |
| 470 | Shared Cosmos3 frontend that explicitly routes Cosmos Framework and Cosmos-RL, validates runtime model/video-dataset/SLURM inputs, consumes an SQSH or packaged backend image, optionally plans… | NVIDIA/ | 3.5k | — | ~5k | Automated safety check: Notes | Apache-2.0 | today |
| 471 | Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline). | NVIDIA/ | 3.5k | — | ~4.5k | Automated safety check: Notes | Apache-2.0 | today |
| 472 | Standard single-step train/eval/export workflow for any TAO model. | NVIDIA/ | 3.5k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | today |
| 473 | Deploy and operate the RTVI-CV-3D microservice as MV3DT (MODE=mv3dt): per-camera DeepStream perception plus BEV Fusion over calibrated cameras. | NVIDIA/ | 3.5k | — | ~4.8k | Automated safety check: Notes | Apache-2.0 | today |
| 474 | A skill your agent uses when NeMo Relay is installed or imported but application-side runtime behavior is missing or incorrect, including load failures, inactive scopes, missing events, and plugin… | NVIDIA/ | 190 | — | ~1k | Automated safety check: Pass | Apache-2.0 | today |
| 475 | A skill your agent uses when an application owns tool or LLM/provider call sites and needs to wrap them with NeMo Relay scopes and managed execution APIs for lifecycle events, middleware, or… | NVIDIA/ | 190 | — | ~1k | Automated safety check: Pass | Apache-2.0 | today |
| 476 | A skill your agent uses when concurrent requests, async tasks, threads, workers, goroutines, or agents need independent NeMo Relay scope stacks and correct ancestry propagation. | NVIDIA/ | 190 | — | ~667 | Automated safety check: Pass | Apache-2.0 | today |
| 477 | A skill your agent uses when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior. | NVIDIA/ | 190 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 478 | Add or change a public NeMo Relay runtime API across Rust and affected language bindings when no more specific maintainer skill owns the domain. | NVIDIA/ | 190 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | today |
| 479 | Change NeMo Relay dynamic plugin loaders, manifests, native ABI, gRPC worker protocol, or Python worker SDK. | NVIDIA/ | 190 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | today |
| 480 | Change NeMo Relay event fields, subscribers, ATIF output, or typed OpenTelemetry and OpenInference projections. | NVIDIA/ | 190 | — | ~858 | Automated safety check: Pass | Apache-2.0 | today |