Skill rating
395 skills. The A–F grade combines safety (60%) and quality (40%); tests add a bonus. The rating refreshes automatically from open catalogs.
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| # | Grade | Skill | Score ▾ | Safety | Quality | Process | Tests | Popularity | Updated |
|---|---|---|---|---|---|---|---|---|---|
| 51 | A | Query Auto Ontology and validate generated SQL, rows, and answers. Use for MCP or REST access, readiness, authentication, conversations, and grounded questions. | 100 | 89 | C | evals | — | 13 d ago | |
| 52 | A | doca_telemetry_utils command line on a host with DOCA: discover the diagnostic-counter schema, translate counter names to binary Data IDs and back, and check per-device counter support before committi | 100 | 90 | B | evals | — | 13 d ago | |
| 53 | A | Install or repair the FoundationPose perception pipeline and build its FoundationStereo TensorRT engines. Use for SAM3/TAO dependency conflicts, CUDA library failures, and depth-engine shape or precis | 100 | 89 | C | evals | — | 13 d ago | |
| 54 | A | Use when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections. | 100 | 89 | C | evals | — | 13 d ago | |
| 55 | A | Use this skill to check or change this machine's NVIDIA display and GPU settings, such as resolution, refresh rate, V-Sync, G-SYNC, brightness, color, and GPU performance. | 100 | 89 | A | evals | — | 13 d ago | |
| 56 | A | Preflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation. | 100 | 89 | B | evals | — | 13 d ago | |
| 57 | A | Use this skill when choosing or running NeMo Relay installation for an agent runtime, application language, framework integration, or plugin bundle, or checking a runtime's native Relay readiness. Do | 100 | 89 | C | evals | — | 13 d ago | |
| 58 | A | Use this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process | 100 | 90 | B | evals | — | 13 d ago | |
| 59 | A | Read-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes. | 100 | 90 | B | evals | — | 13 d ago | |
| 60 | A | Compute federated statistics over tabular data (count, sum, mean, stddev, var, histogram, quantile, noise-protected min/max) and image data (count, failure_count, pixel-intensity histogram) across NVF | 100 | 89 | B | evals | — | 13 d ago | |
| 61 | A | Run the maintained workflow data-to-policy pipeline from recording through checkpoint validation. Use for full end-to-end requests; do not use for one individual stage. | 100 | 89 | B | evals | — | 13 d ago | |
| 62 | A | Serve and visually inspect a converted LeRobot dataset in the browser. Use for videos and state/action timelines; do not use for raw workflow HDF5 or incomplete conversion output. | 100 | 89 | B | evals | — | 13 d ago | |
| 63 | A | Use 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. Use for PDFs, images, | 100 | 89 | D | evals | — | 13 d ago | |
| 64 | A | Internal NVFLARE conversion references and templates. Use only when another NVFLARE skill directs you to a shared workflow, policy, or asset. | 100 | 89 | B | evals | — | 13 d ago | |
| 65 | A | Operate the DOCA UROM Service container on BlueField Arm for remote memory operations (puts, gets, atomics, collectives) enqueued by a paired host using `doca-urom`: pull the NGC image, choose the UCX | 100 | 89 | C | evals | — | 13 d ago | |
| 66 | A | Orient users to the i4h workflow runtime and route them to the correct stage skill. Use for architecture, support, or where-to-start questions; do not execute a known stage. | 100 | 89 | C | evals | — | 13 d ago | |
| 67 | A | Run `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or | 100 | 89 | C | evals | — | 13 d ago | |
| 68 | A | Use this skill when the user is dealing with the DOCA environment around their workload — verifying an install is healthy, preparing the build env (pkg-config, headers, LD_LIBRARY_PATH, hugepages, dev | 100 | 91 | B | evals | — | 13 d ago | |
| 69 | A | Use this skill when the user wants to invoke the read-only doca_caps CLI to ask what DOCA sees on this host — listing DOCA devices and PCIe addresses, listing representor devices, asking which DOCA li | 100 | 90 | B | evals | — | 13 d ago | |
| 70 | A | RDMA data movement on NVIDIA BlueField/ConnectX NICs (RoCE/InfiniBand) with DOCA RDMA, instead of hand-written libibverbs/rdma_cm. Use when the user moves data between processes or hosts over the NIC, | 100 | 90 | B | evals | — | 13 d ago | |
| 71 | A | Use this skill when the user needs SHA-1, SHA-256, or SHA-512 digest acceleration on BlueField-2 silicon via doca_sha (absent on BF-3) — selecting one-shot `doca_sha_task_hash` versus incremental `doc | 100 | 90 | B | evals | — | 13 d ago | |
| 72 | A | Route NVSHMEM tuning to data collection, remote transport, NIC-to-PE mapping, or TMA. Do not use for unrelated CUDA, NCCL, or application tuning. | 100 | 89 | C | evals | — | 6 d ago | |
| 73 | A | Use when NVSHMEM beginners want a tutorial-style overview on assessment, mental models, first C/C++ or Python NVSHMEM programs, compilation, launching, and next steps. | 100 | 89 | C | evals | — | 6 d ago | |
| 74 | A | doca-pipeline-language-developer-toolsProcedureInfrastructureSoftware developmentNVIDIA/skillsAgent Skills Use this skill when the operator is driving the DOCA Pipeline Language (DPL) Developer Tools to inspect or debug DPL programs on a BlueField DPU — DPL Nspect for runtime state such as tables, keys, an | 100 | 90 | B | evals | — | 24 h ago | |
| 75 | A | doca-telemetry-traceback-applicationIntegrationSoftware developmentInfrastructureNVIDIA/skillsAgent Skills Use this skill when the operator is driving the DOCA Telemetry Traceback application to monitor telemetry data locally on a BlueField DPU or ConnectX NIC, detect long-term trends and threshold breache | 100 | 90 | A | evals | — | 24 h ago | |
| 76 | A | Use this skill when the user is running DOCA Perftest (doca_perftest), the RDMA benchmark that measures bandwidth, message rate and latency for RDMA verbs, point-to-point or across a cluster, with an | 100 | 90 | D | evals | — | 24 h ago | |
| 77 | A | Generate, change, or repair a complete vectorized NVIDIA PVA operator from a validated pva-spec handoff. Deliver the contract's API, host and VPU code, independent CPU reference, sample, build integra | 100 | 90 | B | evals | — | 24 h ago | |
| 78 | A | tilegym-monkey-patch-kernels-to-transformersIntegrationSoftware developmentAI and agentsNVIDIA/skillsAgent Skills Integrate TileGym kernels into Hugging Face `transformers` models by replacing the library's submodule(s) and certain class(es)' implementations, and patching certain class(es)' init/forward/load weig | 99 | 89 | C | evals | — | 13 d ago | |
| 79 | A | tao-generate-video-reasoning-annotationsProcedureMedia and videoAI and agentsNVIDIA/skillsAgent Skills Multi-step video annotation pipeline that turns raw videos into Chain-of-Thought training data — multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with reasoning tr | 95 | 94 | B | evals | — | 13 d ago | |
| 80 | A | tilegym-converting-cutile-to-juliaGeneratorSoftware developmentWriting and documentsNVIDIA/skillsAgent Skills Converts cuTile Python GPU kernels (@ct.kernel) to cuTile.jl Julia equivalents. Handles kernel syntax translation, 0-indexed to 1-indexed conversion, broadcasting differences, memory layout (row-major | 100 | 87 | C | evals | — | 13 d ago | |
| 81 | A | Prepare normalized object-detection false negatives, source masks, and clean-image embedding inputs for AnomalyGenNext. Use when turning box-level FN gaps into a frozen, pair-preserving preparation pl | 95 | 96 | C | evals | — | 13 d ago | |
| 82 | A | Use this skill when migrating applications, examples, integrations, documentation, manifests, or repository code from NeMo Flow to NeMo Relay across Python, Rust, Node.js, Go, C FFI, CLI, configuratio | 100 | 88 | C | evals | — | 13 d ago | |
| 83 | A | 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. Use this whenever someone wants to repro | 95 | 94 | C | evals | — | 13 d ago | |
| 84 | A | Monocular depth estimation using Metric Depth Anything v2 or Relative Depth Anything architectures. Predicts per-pixel depth from single RGB images. Use when training, evaluating, exporting, or runnin | 95 | 94 | C | evals | — | 13 d ago | |
| 85 | A | Stereo depth estimation using FoundationStereo. Predicts disparity maps from stereo image pairs for 3D reconstruction. Use when training, evaluating, exporting, or running inference for a TAO Foundati | 95 | 94 | C | evals | — | 13 d ago | |
| 86 | A | Use when compile time or startup time is the problem in code that uses Warp: a request to improve, optimize, or cut compile times; an app that is slow to start or stalls at the first wp.launch; second | 95 | 96 | B | evals | — | 13 d ago | |
| 87 | A | Kumo-Forecast — transformer-based multivariate time series forecasting with DARR (context-enhanced kNN retrieval), interpretability, and fine-tuning. Use when the user asks to "forecast with Kumo-Fore | 95 | 94 | C | evals | — | 13 d ago | |
| 88 | A | Calibrates pre-recorded `cam_*.mp4` datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to `amc-run-rtsp-calibration`. | 100 | 87 | B | evals | — | 13 d ago | |
| 89 | A | Build, migrate, review, and maintain third-party NVIDIA NeMo Fabric adapters against the public adapter contract. Use when creating adapter or target descriptors, mapping AgentConfig into an agent har | 100 | 88 | D | evals | — | 13 d ago | |
| 90 | A | Performs deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with image-evidence-driven investigation. Use when analyzing ChangeNet model failures, investigating p | 95 | 94 | B | evals | — | 13 d ago | |
| 91 | A | Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API. Use when the user provides RTSP URLs or asks to calibrate live cameras; VIOS records clips, AMC ingests them, the | 100 | 87 | B | evals | — | 13 d ago | |
| 92 | A | Use when you need to print Jetson device info (module model, L4T version, kernel, OS version, current power mode) from a running Jetson target. This is an example skill. | 100 | 88 | B | evals | — | 13 d ago | |
| 93 | A | Use this skill when wiring the DOCA SHA Offload Engine (an OpenSSL ENGINE) into an existing OpenSSL pipeline to offload one-shot SHA-1, SHA-256, or SHA-512 (EVP_Digest) onto DOCA SHA hardware without | 98 | 90 | A | evals | — | 13 d ago | |
| 94 | A | Runs standard or fixed-channel softmax finetuning of NV-Segment-CT VISTA3D on CT NIfTI image/label datasets, with optional MONAI-native MLflow tracking and checkpoint evidence. Uses softmax for predef | 95 | 96 | B | evals | — | 13 d ago | |
| 95 | A | Use when you need to print Jetson BSP info (L4T version, board configs, rootfs state) from a Linux_for_Tegra root on the host PC. This is an example skill. | 100 | 88 | B | evals | — | 13 d ago | |
| 96 | A | Set up or troubleshoot the Auto Ontology runtime. Use for Helm (the official install), Docker Compose, developer setup, and MCP connection to an existing deployment. | 100 | 87 | C | evals | — | 13 d ago | |
| 97 | A | Use this skill whenever the agent is about to recommend or apply a change that touches DPU / NIC hardware state on a live system — mlxconfig firmware-parameter write, NIC firmware burn, BFB reflash, N | 97 | 91 | C | evals | — | 13 d ago | |
| 98 | A | Hardware-offloaded erasure coding with DOCA Erasure Coding (Reed-Solomon, doca_ec) on a BlueField DPU, ConnectX NIC, or host: generating parity for data blocks, rebuilding lost blocks from the survivo | 100 | 87 | B | evals | — | 13 d ago | |
| 99 | A | Guides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn N | 100 | 88 | C | evals | — | 13 d ago | |
| 100 | A | Create or explain fixed-format HSB FPGA_top.sv wrappers from validated HOLOLINK_def.svh files. Do not use for def generation or validation. | 100 | 88 | B | evals | — | 13 d ago |