SKILLSET · TRACKS main
Agent Skills for NVIDIA products — install into Claude Code, Codex, and other coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end to end.
skillmarket install-set greatsage_sh/nvidia-skillsOfficial 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.
skillmarket install greatsage_sh/accelerated-computing-cudf|
skillmarket install greatsage_sh/aiq-deploy|
skillmarket install greatsage_sh/aiq-researchCalibrate 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, then runs calibration.
skillmarket install greatsage_sh/amc-run-rtsp-calibrationRun end-to-end calibration on the shipped sample dataset (sdg_08_2_sample_data_010926.zip) against a running AMC microservice. Use when user says 'test sample dataset', 'run sample calibration', 'verify AMC install', or 'launch and test'.
skillmarket install greatsage_sh/amc-run-sample-calibrationCalibrates 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`.
skillmarket install greatsage_sh/amc-run-video-calibrationLaunch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose. Use when user says 'deploy auto calibration', 'launch auto calibration', 'launch AMC', 'start MS+UI', or 'set up auto-magic-calib'. Requires NGC API key.
skillmarket install greatsage_sh/amc-setup-calibration-stackUse for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.
skillmarket install greatsage_sh/cudaq-guideUse when porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.
skillmarket install greatsage_sh/cudaq-importingModify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.
skillmarket install greatsage_sh/cuopt-developerInstall cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.
skillmarket install greatsage_sh/cuopt-installTrace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).
skillmarket install greatsage_sh/cuopt-multi-objective-explorationLP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.
skillmarket install greatsage_sh/cuopt-numerical-optimization-formulationVehicle routing (VRP, TSP, PDP) with cuOpt — Python API only. Use when the user is building or solving routing in Python.
skillmarket install greatsage_sh/cuopt-routing-api-pythoncuOpt REST server — start server, endpoints, Python/curl client examples. Use when the user is deploying or calling the REST API.
skillmarket install greatsage_sh/cuopt-server-api-python>-
skillmarket install greatsage_sh/cupynumeric-hdf5Install and verify cuPyNumeric for Python — requirements, commands, verification. Source builds are out of scope.
skillmarket install greatsage_sh/cupynumeric-installPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-
skillmarket install greatsage_sh/cupynumeric-migration-readinessLoad a sharded, on-disk dataset (sharded .npy, Parquet/Arrow, raw binary, sharded HDF5, custom layouts) into a distributed cuPyNumeric ndarray via a manual partition + leaf @task launch with CPU/OMP/GPU variants. Use when no single-call loader fits, including when per-shard row counts differ across files. Prefer cupynumeric.load or legate.io.hdf5.from_file when they apply.
skillmarket install greatsage_sh/cupynumeric-parallel-data-loadDALI imperative dynamic mode (`nvidia.dali.experimental.dynamic`, ndd): use when working on ndd code or migrating pipelines; skip pipeline-only tasks.
skillmarket install greatsage_sh/dali-dynamic-modeUse when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
skillmarket install greatsage_sh/data-designerNVIDIA DeepStream SDK development with Python pyservicemaker API. Use when building video analytics pipelines, GStreamer-based video processing, TensorRT inference integration, object detection/tracking, or Kafka/message broker integration.
skillmarket install greatsage_sh/deepstream-devProfile a DeepStream pipeline with Nsight Systems and derive its configs from the measurement. Use when the user asks for an efficient, performant, or profiled pipeline — or to benchmark, tune, or measure FPS.
skillmarket install greatsage_sh/deepstream-profile-pipelineRun and operate the DeepStream Multi-View 3D Tracking reference app, also known as MV3DT. Use when the user asks to set up prerequisites, run shipped MV3DT samples, run Multi-View 3D Tracking on custom synchronized MP4 datasets, import camera calibration, delegate missing calibration to AutoMagicCalib, inspect OSD or BEV visualization, consume MV3DT Kafka metadata, or clean up MV3DT run state in the DeepStream MV3DT app directory.
skillmarket install greatsage_sh/deepstream-run-mv3dtUsed for extracting selected metadata from one DICOM file and flagging standard-tag PHI presence. Not for anonymization or clinical use.
skillmarket install greatsage_sh/dicom-metadata-extractUsed for header-only preflight of one DICOM series folder before conversion or inference. Not for de-identification or clinical clearance.
skillmarket install greatsage_sh/dicom-series-preflightUsed for converting one CT DICOM series folder to a HU NIfTI volume with affine evidence. Not for multi-frame DICOM or clinical use.
skillmarket install greatsage_sh/dicom-series-to-volumeStage 2 of the Clinical ASR Flywheel. Use when curating clinical terms, tagging IPA, and synthesizing a NeMo manifest. NOT for scoring (use /digital-health-clinical-asr-eval).
skillmarket install greatsage_sh/digital-health-clinical-asr-buildStage 3 of Clinical ASR Flywheel. Score a NeMo manifest, produce the five-section KER leaderboard (by-ipa_source diagnostic). Not for ASR auth (/riva-asr).
skillmarket install greatsage_sh/digital-health-clinical-asr-evalStage 4 of the Clinical ASR Flywheel. Use when priority KER is above 0.3 to run stock NeMo SFT on Parakeet TDT v2 and offline cycle N+1 re-eval. NOT for generic word boosting (use /finetune-asr).
skillmarket install greatsage_sh/digital-health-clinical-asr-finetuneStage 1 of Clinical ASR Flywheel. Use when bootstrapping a cycle: NVCF+MW disclosure, NVIDIA_API_KEY check, deps install, TTS+ASR smoke test.
skillmarket install greatsage_sh/digital-health-clinical-asr-setup>
skillmarket install greatsage_sh/doca-aes-gcm>
skillmarket install greatsage_sh/doca-argp>
skillmarket install greatsage_sh/doca-argus>
skillmarket install greatsage_sh/doca-bare-metal-deployment>
skillmarket install greatsage_sh/doca-bench>
skillmarket install greatsage_sh/doca-bench-extension>
skillmarket install greatsage_sh/doca-bf3-deployment>
skillmarket install greatsage_sh/doca-bf4-deployment>
skillmarket install greatsage_sh/doca-caps>
skillmarket install greatsage_sh/doca-collectx-deployment>
skillmarket install greatsage_sh/doca-comch>
skillmarket install greatsage_sh/doca-comm-channel-admin>
skillmarket install greatsage_sh/doca-common>
skillmarket install greatsage_sh/doca-compress>
skillmarket install greatsage_sh/doca-container-deployment>
skillmarket install greatsage_sh/doca-debug>
skillmarket install greatsage_sh/doca-devemu>
skillmarket install greatsage_sh/doca-dma>
skillmarket install greatsage_sh/doca-dms>
skillmarket install greatsage_sh/doca-dpa>
skillmarket install greatsage_sh/doca-dpa-hl-tracer>
skillmarket install greatsage_sh/doca-dpdk-bridge>
skillmarket install greatsage_sh/doca-erasure-coding>
skillmarket install greatsage_sh/doca-eth>
skillmarket install greatsage_sh/doca-firefly>
skillmarket install greatsage_sh/doca-flow>
skillmarket install greatsage_sh/doca-flow-dpa-perf>
skillmarket install greatsage_sh/doca-flow-dpa-provider>
skillmarket install greatsage_sh/doca-flow-grpc-server>
skillmarket install greatsage_sh/doca-flow-perf>
skillmarket install greatsage_sh/doca-flow-tune>
skillmarket install greatsage_sh/doca-gpi>
skillmarket install greatsage_sh/doca-gpunetio>
skillmarket install greatsage_sh/doca-gpunetio-ib-write-bw>
skillmarket install greatsage_sh/doca-gpunetio-ib-write-lat>
skillmarket install greatsage_sh/doca-hardware-safety>
skillmarket install greatsage_sh/doca-mgmt>
skillmarket install greatsage_sh/doca-pcc>
skillmarket install greatsage_sh/doca-pcc-counters>
skillmarket install greatsage_sh/doca-pcc-ztr-rttcc-algo>
skillmarket install greatsage_sh/doca-programming-guide>
skillmarket install greatsage_sh/doca-public-knowledge-map>
skillmarket install greatsage_sh/doca-rdma>
skillmarket install greatsage_sh/doca-rdmi>
skillmarket install greatsage_sh/doca-rmax>
skillmarket install greatsage_sh/doca-setup>
skillmarket install greatsage_sh/doca-sha>
skillmarket install greatsage_sh/doca-sha-offload-engine>
skillmarket install greatsage_sh/doca-socket-relay>
skillmarket install greatsage_sh/doca-spcx-cc>
skillmarket install greatsage_sh/doca-sta>
skillmarket install greatsage_sh/doca-structured-tools-contract>
skillmarket install greatsage_sh/doca-telemetry>
skillmarket install greatsage_sh/doca-telemetry-exporter>
skillmarket install greatsage_sh/doca-telemetry-utils>
skillmarket install greatsage_sh/doca-upgrade>
skillmarket install greatsage_sh/doca-urom>
skillmarket install greatsage_sh/doca-urom-svc>
skillmarket install greatsage_sh/doca-verbs>
skillmarket install greatsage_sh/doca-versionValidate that a Dynamo deployment's NIXL/UCX/NCCL interconnect is ready for disaggregated serving over RDMA/NVLink. Use after recipe-runner brings a deployment up (especially disagg/multi-node) to confirm the KV transport is correct; use troubleshoot for diagnosing already-failed pods.
skillmarket install greatsage_sh/dynamo-interconnect-checkSelect, validate, patch, and deploy existing NVIDIA Dynamo Kubernetes recipes. Use for model/backend/GPU/deployment-mode recipe bring-up; use router-starter for router-only mode work and troubleshoot for broken deployments.
skillmarket install greatsage_sh/dynamo-recipe-runnerStart or patch Dynamo router modes and run router endpoint smoke checks. Use for round-robin, KV-aware, least-loaded, or device-aware routing setup; use recipe-runner for recipe deployment and troubleshoot for failure diagnosis.
skillmarket install greatsage_sh/dynamo-router-starterDiagnose failed or unhealthy Dynamo deployments. Use when pods, model-cache jobs, PVCs, workers, frontend/router health, endpoints, or benchmark jobs fail; use recipe-runner/router-starter before this for normal bring-up.
skillmarket install greatsage_sh/dynamo-troubleshoot>
skillmarket install greatsage_sh/earth2studio-create-datasource>
skillmarket install greatsage_sh/earth2studio-create-diagnostic>
skillmarket install greatsage_sh/earth2studio-create-prognostic>
skillmarket install greatsage_sh/earth2studio-data-fetch>
skillmarket install greatsage_sh/earth2studio-deterministic-forecast>
skillmarket install greatsage_sh/earth2studio-discover>
skillmarket install greatsage_sh/earth2studio-installAdapt BOP datasets, run the FoundationPose perception pipeline with TAO depth, and evaluate or re-score pose results. Use for dataset runs and result comparisons; environment installation belongs to foundationpose-setup.
skillmarket install greatsage_sh/foundationpose-pipelineInstall 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 precision decisions.
skillmarket install greatsage_sh/foundationpose-setupUse for non-failing HoloHub app work with ./holohub: scaffold, build, run, test, visual evidence, lint, and flow benchmarking.
skillmarket install greatsage_sh/holohub-app-lifecycleUse when a concrete ./holohub command fails, hangs, regresses, or returns wrong output and needs reproducible diagnosis and verification.
skillmarket install greatsage_sh/holohub-debug-build-runUse for reusable Holoscan Module work with ./holohub: scaffold, tests, editable install, DEB/WHEEL packaging, and clean-consumer proof.
skillmarket install greatsage_sh/holohub-module-lifecycleInstall Holoscan SDK v4.3+ via Conda in a CUDA 13 environment. Use for Conda installs; redirect CUDA 12 hosts to container/wheel.
skillmarket install greatsage_sh/holoscan-install-condaInstall Holoscan SDK via the NGC Docker container. Use for container-based installs; not for native apt/pip/Conda installs.
skillmarket install greatsage_sh/holoscan-install-containerInstall Holoscan SDK natively on Ubuntu via apt. Use for C++ installs on Ubuntu; pair with /holoscan-install-wheel for Python.
skillmarket install greatsage_sh/holoscan-install-debianBuild Holoscan SDK from source via the in-tree ./run script. Use only when published packages don't meet the user's needs.
skillmarket install greatsage_sh/holoscan-install-sourceInstall Holoscan SDK Python wheel via pip into a venv. Use for Python installs; not for native C++/apt or Conda installs.
skillmarket install greatsage_sh/holoscan-install-wheelGuides Holoscan SDK installation: inspects the host, assesses platform compatibility, recommends an install method, and delegates to the matching install skill.
skillmarket install greatsage_sh/holoscan-setupDiscover and run Holoscan Sensor Bridge example applications on a connected devkit. Filters available apps by the user's platform, HSB software version, board type, and sensors. Supports timed execution, failure analysis, code-edit suggestions, and iterative re-runs.
skillmarket install greatsage_sh/hsb-appFlash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must never be mixed.
skillmarket install greatsage_sh/hsb-flashCreate or explain fixed-format HSB FPGA_top.sv wrappers from validated HOLOLINK_def.svh files. Do not use for def generation or validation.
skillmarket install greatsage_sh/hsb-ip-create-topGenerate, validate, compare, or explain HSB HOLOLINK_def.svh macros. Do not use for FPGA_top.sv wrappers or packetizer-only derivation. Generation runs bundled Python scripts locally through shell commands and writes validated .svh output files after user-confirmed paths.
skillmarket install greatsage_sh/hsb-ip-defChoose or explain HSB Sensor RX packetizer fields for HOLOLINK_def.svh. Do not use for full defs, validation, or runtime APB programming.
skillmarket install greatsage_sh/hsb-ip-packetizerExecute QA test plans on Holoscan Sensor Bridge hardware. Reads a user-provided test document, filters tests by the user's setup, determines which tests can run automatically, executes them with pass/fail evaluation, and produces a structured test results report.
skillmarket install greatsage_sh/hsb-testServe 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.
skillmarket install greatsage_sh/i4h-lerobot-vizOrient 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.
skillmarket install greatsage_sh/i4h-workflowCreate a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding.
skillmarket install greatsage_sh/i4h-workflow-createGrade or filter workflow HDF5 episodes with an OpenAI-compatible vision model. Use for visual success labels; do not use for replay, policy evaluation, or recordings without frames.
skillmarket install greatsage_sh/i4h-workflow-dataset-annotateConvert workflow HDF5 recordings to LeRobot datasets for training or browser inspection. Use for conversion; do not use for replay, augmentation, or raw-data repair.
skillmarket install greatsage_sh/i4h-workflow-dataset-convertExpand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.
skillmarket install greatsage_sh/i4h-workflow-dataset-mimicReplay a workflow HDF5 episode through its original Scene. Use for visual trajectory and recording verification; do not use for policy evaluation or LeRobot data.
skillmarket install greatsage_sh/i4h-workflow-dataset-replayRecord demonstrations through a workflow's teleop Task into workflow HDF5. Use for keyboard, leader, VR, or bus input; do not use for policy evaluation or autonomous rule-based Tasks.
skillmarket install greatsage_sh/i4h-workflow-dataset-teleopRun 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.
skillmarket install greatsage_sh/i4h-workflow-e2eFine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.
skillmarket install greatsage_sh/i4h-workflow-finetuneEdit an existing workflow Scene or task contract. Use for assets, layout, cameras, randomization, task text, or success rules; do not use to create a new workflow.
skillmarket install greatsage_sh/i4h-workflow-scene-editPreflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.
skillmarket install greatsage_sh/i4h-workflow-setupUse when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff.
skillmarket install greatsage_sh/i4h-workflow-train-rlRun the root-level workflow runtime policy or rule-based rollouts and verify simulator success. Use for evaluation, checkpoints, or local controllers; do not use for replay or dataset annotation.
skillmarket install greatsage_sh/i4h-workflow-validateRun and validate an end-to-end Mission Control showcase with a locally installed Isaac Sim launched in its GUI window, driven through the isaac-sim-remote Python server, with Nova Carter SIL. Use for demos, showcase replays, Mission Control driving a simulated robot, or diagnosing the integrated small-warehouse scenario. Detect existing Isaac Sim installations without modifying them, automatically select a usable runtime without prompting whenever compatibility can be confirmed, and delegate req
skillmarket install greatsage_sh/isaac-mission-control-showcase>-
skillmarket install greatsage_sh/jetson-build-sourceUse to lock/cap Jetson CPU/GPU/EMC clocks, toggle EMC/CPU DVFS, or change cpufreq governors by editing BPMP DTB and nvpower.sh pre-flash. Do NOT use for live tuning or nvpmodel edits.
skillmarket install greatsage_sh/jetson-customize-clocks>-
skillmarket install greatsage_sh/jetson-customize-fan>-
skillmarket install greatsage_sh/jetson-customize-mgbe>-
skillmarket install greatsage_sh/jetson-customize-nvpmodel>-
skillmarket install greatsage_sh/jetson-customize-pcie>-
skillmarket install greatsage_sh/jetson-customize-pinmuxConfigure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. Do NOT use for pinmux or PCIe-only edits.
skillmarket install greatsage_sh/jetson-customize-uphyEnable/disable Jetson USB2/USB3 SS ports via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.
skillmarket install greatsage_sh/jetson-customize-usb>-
skillmarket install greatsage_sh/jetson-derive-carrierRead-only Jetson health snapshot for identity, memory, GPU, thermal, power, storage, services, and top processes.
skillmarket install greatsage_sh/jetson-diagnostic>-
skillmarket install greatsage_sh/jetson-download-bspUse to flash a promoted BSP image to a Jetson DUT in RCM mode via flash.sh or l4t_initrd_flash.sh. Do NOT use for BSP customization, image promotion, or carrier derivation.
skillmarket install greatsage_sh/jetson-flash-image>-
skillmarket install greatsage_sh/jetson-generate-kbPlan and apply safe Jetson headless-mode changes to reclaim GUI and daemon memory.
skillmarket install greatsage_sh/jetson-headless-modePick the serving stack and per-runtime memory flags (vLLM, SGLang, llama.cpp, TensorRT Edge-LLM) for an LLM/VLM workload on any NVIDIA Jetson.
skillmarket install greatsage_sh/jetson-inference-mem-tune>-
skillmarket install greatsage_sh/jetson-init-image>-
skillmarket install greatsage_sh/jetson-init-source>-
skillmarket install greatsage_sh/jetson-init-target>-
skillmarket install greatsage_sh/jetson-link-docsBenchmark Jetson LLM/VLM serving performance across vLLM, llama.cpp, and Ollama with structured JSON output.
skillmarket install greatsage_sh/jetson-llm-benchmarkStand 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.
skillmarket install greatsage_sh/jetson-llm-serveMeasure Jetson DRAM/NvMap usage and verify before/after memory reclamation with live audit data.
skillmarket install greatsage_sh/jetson-memory-audit>-
skillmarket install greatsage_sh/jetson-optimize-memoryPick 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.
skillmarket install greatsage_sh/jetson-packageUse 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.
skillmarket install greatsage_sh/jetson-print-bsp-infoUse 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.
skillmarket install greatsage_sh/jetson-print-device-info>-
skillmarket install greatsage_sh/jetson-promote-image>-
skillmarket install greatsage_sh/jetson-quick-start>-
skillmarket install greatsage_sh/jetson-set-targetAdd EAGLE-3 or draft-model speculative decoding to a Jetson vLLM server when TPOT is the bottleneck.
skillmarket install greatsage_sh/jetson-speculative-decoding>-
skillmarket install greatsage_sh/jetson-validate-image>-
skillmarket install greatsage_sh/jetson-video-benchmark>-
skillmarket install greatsage_sh/jetson-video-capability>-
skillmarket install greatsage_sh/jetson-video-pipeline>-
skillmarket install greatsage_sh/jetson-video-recipe>-
skillmarket install greatsage_sh/jetson-video-setupConvert a grover_base checkpoint (encoder-only or encoder + vocab heads) into a hybrid checkpoint by adding a randomly-initialized cMIM decoder + latent_dist, then continue pretraining on the user's corpus as hybrid (vocab + contrast). Effectively kermt-continue-pretrain with a one-time ckpt-conversion step prepended.
skillmarket install greatsage_sh/bionemo-kermt-add-cmim-pretrainContinue KERMT pretraining on a custom SMILES corpus with a grover_base, cmim, or hybrid checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized training and write model bundles, prepared data, logs, and checkpoints to user-selected host directories.
skillmarket install greatsage_sh/bionemo-kermt-continue-pretrainExtract per-molecule embeddings from any encoder-bearing KERMT checkpoint. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Run containerized embedding extraction and write model bundles, per-readout .npy embeddings, canonical SMILES, and validity arrays to user-selected host directories.
skillmarket install greatsage_sh/bionemo-kermt-embedFinetune a pretrained KERMT encoder on a labeled CSV. Validate the checkpoint and data, prepare features, and run containerized training. Use a local checkpoint or optionally download a pinned Hugging Face model bundle using HF_TOKEN if configured. Write model bundles, prepared data, logs, and trained models to user-selected host directories.
skillmarket install greatsage_sh/bionemo-kermt-finetuneRun predictions with a finetuned KERMT checkpoint on a SMILES-only CSV. The skill validates that the input ckpt has task FFN heads (refuses pretrain ckpts with a redirect to kermt-finetune), validates the CSV, prepares the data (clean + rdkit_2d features), then launches main.py predict inside the kermt container (blocking, minutes-scale).
skillmarket install greatsage_sh/bionemo-kermt-inferCheck progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses progress lines (epoch, step, val loss).
skillmarket install greatsage_sh/bionemo-kermt-monitorPretrain a fresh KERMT model from scratch on a user-provided corpus. Builds a new vocabulary from the corpus, instantiates the model architecture from defaults, and launches pretrain_ddp.py inside the kermt container (detached for long runs). Unlike kermt-continue-pretrain, no starting checkpoint is loaded — the model is randomly initialized.
skillmarket install greatsage_sh/bionemo-kermt-pretrain-scratchBootstrap 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 inside the container. Every other kermt-* skill depends on this; invoke it first.
skillmarket install greatsage_sh/bionemo-kermt-setupPlaybook for launching, monitoring, stopping, and debugging NeMo-RL recipes on a Kubernetes cluster via the nrl-k8s CLI. Covers ephemeral vs long-lived RayCluster modes, iterating on runs, and debugging hung or failed training jobs.
skillmarket install greatsage_sh/launch-nemo-rlInvestigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
skillmarket install greatsage_sh/mcore-create-issueLinting and formatting for Megatron-LM. Covers running autoformat.sh, tools (ruff, black, isort, pylint, mypy), and code style rules.
skillmarket install greatsage_sh/mcore-linting-and-formattingHow to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.
skillmarket install greatsage_sh/mcore-run-on-slurmSplit a PR into multiple PRs to reduce the number of required CODEOWNERS reviewer groups.
skillmarket install greatsage_sh/mcore-split-prTest system for Megatron-LM. Covers test layout, recipe YAML structure, adding and running unit and functional tests, golden values, marker filters, and CI parity.
skillmarket install greatsage_sh/mcore-testingExports sanitized metadata, parameters, reproducibility details, quality metrics, and optional review artifacts from Medical AI inference runs or evidence packs to MLflow. Use after inference, including NV-Generate runs; not for live training tracking, model registration, or clinical use.
skillmarket install greatsage_sh/medtech-model-evidence-exportGuide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.
skillmarket install greatsage_sh/nemo-automodel-distributed-trainingConfigure NeMo AutoModel job launches for interactive runs, Slurm clusters, and SkyPilot cloud execution.
skillmarket install greatsage_sh/nemo-automodel-launcher-configGuide for onboarding new model architectures into NeMo AutoModel, including architecture discovery, implementation patterns, registration, and validation.
skillmarket install greatsage_sh/nemo-automodel-model-onboardingCreate and modify NeMo AutoModel training and evaluation recipes, including YAML structure, builders, and execution flow.
skillmarket install greatsage_sh/nemo-automodel-recipe-developmentBuild, 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 harness or custom-agent runtime, implementing start/invoke/stop, declaring schemas and capabilities, packaging discovery metadata, or assessing adapter conformance. Do not use for consumer applications that only call the NVIDIA NeMo Fabric SDK.
skillmarket install greatsage_sh/nemo-fabric-build-adapterUse this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory FabricConfig, choosing the single-invocation convenience API or an explicitly started runtime, validating with plan and doctor, and consuming normalized results, artifacts, and telemetry.
skillmarket install greatsage_sh/nemo-fabric-integrateRun Megatron-LM (MLM) and Megatron Bridge training with mock or real data. Covers correlation testing, available recipes, and multi-GPU examples.
skillmarket install greatsage_sh/nemo-mbridge-mlm-bridge-trainingConvert single-node scripts to multi-node Slurm sbatch jobs and debug common multi-node failures. Covers srun-native vs uv run torch.distributed approaches, container setup, NCCL timeouts, OOM sizing for MoE models, and interactive allocation.
skillmarket install greatsage_sh/nemo-mbridge-multi-node-slurm>-
skillmarket install greatsage_sh/nemo-mbridge-perf-activation-recomputeValidate and use CPU offloading in Megatron Bridge, including layer-level activation offloading and fractional optimizer state offloading with HybridDeviceOptimizer.
skillmarket install greatsage_sh/nemo-mbridge-perf-cpu-offloadingValidate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
skillmarket install greatsage_sh/nemo-mbridge-perf-cuda-graphsValidate and use MoE expert-parallel communication overlap in Megatron-Bridge, including overlap_moe_expert_parallel_comm, delay_wgrad_compute, and flex dispatcher backends such as DeepEP and HybridEP.
skillmarket install greatsage_sh/nemo-mbridge-perf-expert-parallel-overlapOperational guide for enabling hierarchical context parallelism in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
skillmarket install greatsage_sh/nemo-mbridge-perf-hierarchical-context-parallelOperational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
skillmarket install greatsage_sh/nemo-mbridge-perf-megatron-fsdpTechniques for reducing peak GPU memory in Megatron Bridge — expandable segments, PEFT + SP input re-gather, parallelism resizing, activation recompute, CPU offloading constraints, and common OOM fixes.
skillmarket install greatsage_sh/nemo-mbridge-perf-memory-tuningMoE expert-parallel communication overlap in Megatron Bridge. Covers dispatch/combine overlap, flex dispatcher backends, and expert wgrad scheduling.
skillmarket install greatsage_sh/nemo-mbridge-perf-moe-comm-overlapChoose the right MoE token dispatcher (`alltoall`, DeepEP, or HybridEP) for the hardware, EP degree, and optimization stage. Summarizes patterns from DSV3, Qwen3, Qwen3-Next, and VLM bring-up work.
skillmarket install greatsage_sh/nemo-mbridge-perf-moe-dispatcher-selectionRepresentative, point-in-time MoE training playbooks by hardware and model family. Use them as candidate seeds, then revalidate the exact runtime, semantics, topology, and steady-state throughput.
skillmarket install greatsage_sh/nemo-mbridge-perf-moe-hardware-configsLong-context MoE training guidance for Megatron Bridge. Covers CP sizing, selective recompute, dispatcher choices, and practical patterns from DSV3, Qwen3, and Qwen3-Next long-context experiments.
skillmarket install greatsage_sh/nemo-mbridge-perf-moe-long-contextEvidence-gated workflow for MoE performance optimization in Megatron Bridge. Covers measurement contracts, the Three Walls framework, parallel folding, profiling, matched A/B tuning, and final validation.
skillmarket install greatsage_sh/nemo-mbridge-perf-moe-optimization-workflowPractical guidance for training MoE VLMs in Megatron Bridge. Compares FSDP and 3D-parallel approaches, using rounded lessons from Qwen3-VL, Qwen3-Next, and other multimodal experiments.
skillmarket install greatsage_sh/nemo-mbridge-perf-moe-vlm-trainingOperational guide for choosing and combining parallelism strategies in Megatron Bridge, including sizing rules, hardware topology mapping, and combined parallelism configuration.
skillmarket install greatsage_sh/nemo-mbridge-perf-parallelism-strategiesValidate and use packed sequences and long-context training in Megatron-Bridge, including offline LLM packing, collate-time VLM packing, Energon online packing, and CP constraints.
skillmarket install greatsage_sh/nemo-mbridge-perf-sequence-packingOperational guide for enabling TP, DP, and PP communication overlap in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.
skillmarket install greatsage_sh/nemo-mbridge-perf-tp-dp-comm-overlapRecommend and customize Megatron Bridge library and benchmark recipes for a user's model, GPU count, hardware, sequence length, and pretrain/SFT/PEFT goal. Use when selecting a starting recipe, comparing library and benchmark configs, resizing parallelism for a GPU allocation, or distinguishing convergence changes, semantics-preserving execution tuning, and benchmark-only shortcuts.
skillmarket install greatsage_sh/nemo-mbridge-recipe-recommenderResiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.
skillmarket install greatsage_sh/nemo-mbridge-resiliencyUse this skill 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 or adaptive wiring problems.
skillmarket install greatsage_sh/nemo-relay-debug-runtime-integrationUse this skill 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 direct Python, Node.js, or Rust instrumentation before production setup.
skillmarket install greatsage_sh/nemo-relay-get-startedUse this skill when choosing or running NeMo Relay installation for the CLI, Python, Node.js, Rust, OpenClaw, Hermes, or maintained framework integrations before runtime configuration or quick-start setup.
skillmarket install greatsage_sh/nemo-relay-installUse this skill 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 guardrails.
skillmarket install greatsage_sh/nemo-relay-instrument-callsUse this skill when concurrent requests, async tasks, threads, workers, goroutines, or agents need independent NeMo Relay scope stacks and correct ancestry propagation.
skillmarket install greatsage_sh/nemo-relay-instrument-context-isolationUse this skill when adding NeMo Relay typed wrappers, domain types, or provider codecs while preserving JSON middleware semantics and caller-visible behavior.
skillmarket install greatsage_sh/nemo-relay-instrument-typed-wrappersUse 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, configuration, and observability surfaces.
skillmarket install greatsage_sh/nemo-relay-migrate-from-flowUse this skill when baseline NeMo Relay instrumentation exists and the user wants to configure or evaluate adaptive plugin behavior, including telemetry, state, adaptive_hints, tool_parallelism, ACG, hint consumption, or measured rollout.
skillmarket install greatsage_sh/nemo-relay-plugin-adaptive-tuningUse this skill when building or packaging reusable NeMo Relay runtime behavior as an embedded configuration component or a manifest-backed `rust_dynamic` native or `worker` gRPC plugin, with deterministic validation and rollback-safe registration.
skillmarket install greatsage_sh/nemo-relay-plugin-buildUse this skill when choosing or configuring NeMo Relay 0.6 or 0.7 observability through the built-in plugin, subscribers, or exporters, including raw ATOF events, ATIF trajectories, OpenTelemetry, OpenInference, or custom event handling.
skillmarket install greatsage_sh/nemo-relay-plugin-observabilityUse 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, Office files, HTML, text, audio, and video; not for editing documents or web search.
skillmarket install greatsage_sh/nemo-retrieverUse when a task needs to search or add documents through NeMo Retriever MCP.
skillmarket install greatsage_sh/nemo-retriever-mcpAutonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger. Do NOT use for: bug fixes, code review, documentation, refactoring, dependency updates, or single-file changes.
skillmarket install greatsage_sh/nemo-rl-auto-researchBrev 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. Use when running nemo-rl-auto-research campaigns, experiments, training jobs, model or dataset downloads, shared cache-heavy commands, log-producing runs, checkpoint generation, W&B or Hugging Face authenticated workflows, or any workflow that may create large files on Brev.
skillmarket install greatsage_sh/nemo-rl-brev-etiquetteDocumentation conventions for NeMo-RL. Covers docs/index.md updates and docstring format. Do NOT use for: bug fixes, test fixes, dependency bumps, refactoring, CI/CD changes, performance tuning, or any task that does not involve writing or updating documentation.
skillmarket install greatsage_sh/nemo-rl-docsManage durable working-session memory for coding agents. Use when a user asks to preserve or recover agent context across disconnects, VS Code restarts, long-running work, handoffs, or any session where important state should be written periodically under the repo's session directory. Do NOT use for: simple questions, short tasks, one-off commands, linting, or code review.
skillmarket install greatsage_sh/nemo-rl-session-memoryGuides 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 NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.
skillmarket install greatsage_sh/nemoclaw-user-guideOrchestration skill for NVIDIA Nemotron Speech (Riva) / NeMo ASR domain and language adaptation. Given a goal like "improve/fine-tune ASR for my domain or language", it scopes the task, picks the cheapest sufficient path (word boosting → n-gram LM → fine-tuning), delegates each stage to the right sub-skill (data generation, training, evaluation, deployment), and answers cost/time/data questions along the way.
skillmarket install greatsage_sh/nemotron-asr-finetunePlan, 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 alignment (DPO/RLVR/GRPO/RLHF), BYOB/MCQ benchmarks, checkpoint conversion, ModelOpt optimization, env profiles, and evaluation of trained checkpoints or existing/hosted endpoints. Use when a request names a Nemotron step or workflow, or asks to clean, translate, train, fine-tune, align, convert, optimize
skillmarket install greatsage_sh/nemotron-customizeGenerates BYO custom safety policies for NVIDIA Nemotron content-safety guardrails — Nemotron-Content-Safety-Reasoning-4B (text) and multimodal Nemotron-3-Content-Safety. Produces a Markdown policy, JSON taxonomy, and drop-in inference prompts. Maps rough words or an existing policy to V2 categories, adding custom categories or topic-following rules.
skillmarket install greatsage_sh/nemotron-policy-generatorUse when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.
skillmarket install greatsage_sh/nemotron-retrieval-recipesRoutes NVIDIA Nemotron Speech (Formerly Riva) NIM tasks — deploys, runs, and tests ASR, TTS, and NMT NIMs on build.nvidia.com or self-hosted.
skillmarket install greatsage_sh/nemotron-speechUsed for generating synthetic CT volumes and masks with NV-Generate-CTMR rflow-ct. Not for production training data without review.
skillmarket install greatsage_sh/nv-generate-ct-rflowUsed for generating synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Not for paired masks or production training data.
skillmarket install greatsage_sh/nv-generate-mrUsed for generating synthetic T1, T2, FLAIR, SWI, or MRA brain MRI volumes with NV-Generate-CTMR MR-Brain v1. Not for production training data.
skillmarket install greatsage_sh/nv-generate-mr-brainUsed for finetuning NV-Generate-CTMR MR-Brain v1 for T1, T2, FLAIR, SWI, or MRA data from a NIfTI datalist. Not for clinical or production data approval.
skillmarket install greatsage_sh/nv-generate-mr-brain-finetuneUsed for finetuning the NV-Generate-CTMR MAISI VAE from CT/MRI NIfTI datalists. Not for clinical or production data approval.
skillmarket install greatsage_sh/nv-generate-vae-finetuneUsed for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting.
skillmarket install greatsage_sh/nv-reason-cxrUsed for running NV-Segment-CT VISTA3D on CT NIfTI volumes and recording label-map evidence.
skillmarket install greatsage_sh/nv-segment-ctRuns 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 predefined, mutually exclusive classes; keeps the standard workflow when point prompts or runtime-variable classes are needed. Not for clinical validation.
skillmarket install greatsage_sh/nv-segment-ct-finetuneUsed for running NV-Segment-CTMR on CT or MRI NIfTI volumes and recording label-map evidence. Not for clinical interpretation.
skillmarket install greatsage_sh/nv-segment-ctmrGenerate a reproducible final report, literature-outcome synthesis, JSON summary, and refreshed progress plot for a stopped or interrupted NVFLARE Auto-FL campaign.
skillmarket install greatsage_sh/nvflare-autofl-reportConvert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names Hugging Face or preliminary source inspection identifies one Hugging Face owner, and not for manual PyTorch loops, Lightning, inference-only pipelines, deployment, or experiment workflows.
skillmarket install greatsage_sh/nvflare-convert-huggingfaceConvert 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 federated/NVFLARE conversion or asks multiple sites to train collaboratively while keeping each site's data local, and either names PyTorch Lightning or preliminary source inspection identifies one Lightning owner; do not use for non-federated Lightning work such as DDP, profiling, inference serving, or training-loo
skillmarket install greatsage_sh/nvflare-convert-lightningConvert 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 preliminary source inspection identifies one plain-PyTorch owner, and not for Lightning, other frameworks, deployment, POC/production lifecycle, or experiment workflows.
skillmarket install greatsage_sh/nvflare-convert-pytorchCompute 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 NVFLARE sites via FedStatsRecipe — automatic and non-interactive from the dataset, feature names (header or supplied), and optionally a README or notes declaring which statistics to compute; do not use for model training conversion, hierarchical statistics, deployment, POC/production lifecycle, or fa
skillmarket install greatsage_sh/nvflare-fed-statsRoute open-ended NVFLARE advice and only conversion requests whose preliminary source inspection reports unresolved or conflicting ownership; never load this skill merely to inspect a concrete conversion request before selecting its detected framework converter.
skillmarket install greatsage_sh/nvflare-orientInternal NVFLARE conversion references and templates. Use only when another NVFLARE skill directs you to a shared workflow, policy, or asset.
skillmarket install greatsage_sh/nvflare-shared>-
skillmarket install greatsage_sh/nvidia-skill-finder>-
skillmarket install greatsage_sh/nvidia-skills-nvidia-skill-finderUse as the top-level router for Omniverse Realtime Viewer USD app requests and focused viewer reference documents.
skillmarket install greatsage_sh/omniverse-realtime-viewer>-
skillmarket install greatsage_sh/paidf-augmentation>-
skillmarket install greatsage_sh/paidf-auto-labeling>-
skillmarket install greatsage_sh/paidf-curation-and-retrievalAudit, prepare, and deploy PAIDF Orchestration on a Kubernetes GPU cluster - single-GPU H100/L40S hosts, managed Kubernetes, kubeadm, and similar. Select for requests to set up, install, deploy, configure, or check a PAIDF Orchestration environment; run a workflow on a new or unverified GPU host; connect via kubeconfig; validate GPU compute; deploy the Airflow controller; or choose external versus in-cluster model services. A plain SSH host is not a supported backend.
skillmarket install greatsage_sh/paidf-orchestration-setupUse when a user describes a custom PAIDF Orchestration pipeline — a specific ordered combination of stages such as augmentation only, auto-labeling only, detection+captioning only, or image attribute augmentation without full auto-labeling — that no existing DAG in airflow/dags/workflows/ covers, and asks for a new Kubernetes DAG. Also use to check that a generated or existing DAG's model/container/prompt choices match an external spec document (e.g. a PAIDF `launchable.md`).
skillmarket install greatsage_sh/paidf-orchestration-write-dag>-
skillmarket install greatsage_sh/physical-ai-defect-image-generationRun the PAIDF Orchestration Event Video Generation DAG on Kubernetes - image-to-video anomaly generation, auto-labeling, and anomaly dataset generation. Select for requests about event video generation, anomaly video generation, image-to-video synthesis, Cosmos3 image2video, anomaly dataset creation, safety/surveillance SDG, or generating person-falling, person-climbing, person-running, fighting, smoking/vaping, fire/smoke, or shoplifting video clips from a seed image. Runs environment setup fir
skillmarket install greatsage_sh/physical-ai-event-video-generationRun the PAIDF Orchestration Image Attribute Augmentation DAG on Kubernetes - person-crop clothing augmentation, attribute search, and augmented dataset generation. Select for requests about image attribute augmentation, person attribute search, person re-identification data, clothing augmentation, attribute captions, augmentation payloads, run status, or result retrieval. Runs environment setup first when controller readiness is unknown. Not for video or defect-image generation.
skillmarket install greatsage_sh/physical-ai-image-attribute-augmentationRouter for NVIDIA NuRec/NRE: USDZ rendering, NCore conversion, 3DGS, gRPC sensor sim, carline adaptation, PhysicalAI HF datasets. Do NOT use for SimReady or infra setup.
skillmarket install greatsage_sh/physical-ai-neural-reconstruction>-
skillmarket install greatsage_sh/physical-ai-video-data-augmentationOfficial NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment setup, training-loop or other code authoring/scaffolding, contributor/CI/packaging questions, repo-specific questions in physicsnemo-sym/-cfd/-curator, or general (non-physics) ML/Py
skillmarket install greatsage_sh/physicsnemo-discoverOfficial NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyT
skillmarket install greatsage_sh/physicsnemo-shard-tensorUse when a user asks to build, optimize, backtest, rebalance, or analyze a stock portfolio with Mean-CVaR, Mean-Variance/SOCP variance caps, efficient frontiers, scenario generation, or NVIDIA cuOpt.
skillmarket install greatsage_sh/portfolio-optimizationNVIDIA RAG Blueprint — deploy, configure, troubleshoot, and manage. Handles any RAG action: deploy, install, start, enable, disable, toggle, change, configure, troubleshoot, debug, fix, shutdown, stop, or tear down any RAG feature or service (Agentic RAG, VLM, guardrails, query rewriting, models, search, ingestion, observability, summarization, reasoning, and more).
skillmarket install greatsage_sh/rag-blueprint>-
skillmarket install greatsage_sh/rag-eval>-
skillmarket install greatsage_sh/rag-perf>
skillmarket install greatsage_sh/rtvi-cv-scaffold-vss-servicePerforms deep Root Cause Analysis (RCA) on NVIDIA TAO Visual ChangeNet classification experiments with
skillmarket install greatsage_sh/tao-analyze-changenet-rcaPerforms gap analysis on NVIDIA TAO VCN Classify (Visual Component Net) experiments by invoking the pinned TAO data-services container directly via `docker run … gap_analysis vcn_aoi …` — picks the optimal decision threshold, ranks per-sample weakness, and emits a top-K weakest parquet expanded per-lighting for downstream augmentation. Use when analyzing VCN classification failures, picking SDA augmentation targets, or auditing PASS/NO_PASS boundary cases.
skillmarket install greatsage_sh/tao-analyze-gaps-visual-changenetExtract false-positive and false-negative gaps from VLM binary-classification-question (BCQ, yes/no) predictions.
skillmarket install greatsage_sh/tao-analyze-gaps-vlm-bcqRun `tao-daft convert` to convert NVIDIA TAO DAFT datasets between supported formats. Do not use for non-DAFT data.
skillmarket install greatsage_sh/tao-convert-dataset-formatCLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX
skillmarket install greatsage_sh/tao-finetune-clip>-
skillmarket install greatsage_sh/tao-finetune-cosmos-embedCosmos3-Nano video QA supervised fine-tuning with FSDP parallelism across variable-width GPU configurations. Use when training or evaluating video
skillmarket install greatsage_sh/tao-finetune-cosmos-reason>
skillmarket install greatsage_sh/tao-finetune-huggingface-modelTwo-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them
skillmarket install greatsage_sh/tao-generate-image-groundingFour-step image referring-expression pipeline: turns images plus KITTI bounding-box labels into region
skillmarket install greatsage_sh/tao-generate-referring-expressions>-
skillmarket install greatsage_sh/tao-generate-video-reasoning-annotations>-
skillmarket install greatsage_sh/tao-launch-workflow>-
skillmarket install greatsage_sh/tao-list-capabilitiesRuns the DEFT embed-then-mine workflow for VCN AOI iterations — embeds the gap-analysis target parquet, embeds a source pool, and mines nearest-neighbour source images for downstream augmentation. Use as the immediate next step after `tao-route-visual-changenet-samples` when expanding a real-image augmentation queue from the mining subset.
skillmarket install greatsage_sh/tao-mine-aoi-images>
skillmarket install greatsage_sh/tao-port-huggingface-modelRoutes the weakest VCN samples (output of `tao-analyze-gaps-visual-changenet`) into per-augmentation-module
skillmarket install greatsage_sh/tao-route-visual-changenet-samplesRun container-backed AutoML / hyperparameter optimization (HPO) for NVIDIA TAO networks using AutoMLRunner. Handles algorithm
skillmarket install greatsage_sh/tao-run-automl>
skillmarket install greatsage_sh/tao-run-automl-deft-pipeline>
skillmarket install greatsage_sh/tao-run-deft-aoi>
skillmarket install greatsage_sh/tao-run-inference-serviceBrev managed GPU instances with Docker support. Use when running TAO training, evaluation, or inference on
skillmarket install greatsage_sh/tao-run-on-brevDocker conventions for running NVIDIA GPU container workloads — NGC authentication, --gpus flag, mount patterns,
skillmarket install greatsage_sh/tao-run-on-dockerKubernetes execution platform — submits TAO container jobs as single-pod k8s Jobs with NVIDIA GPU scheduling.
skillmarket install greatsage_sh/tao-run-on-kubernetesLocal or remote Docker execution for TAO SDK job containers using a Docker daemon with NVIDIA GPU runtime. Use
skillmarket install greatsage_sh/tao-run-on-local-dockerRemote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed
skillmarket install greatsage_sh/tao-run-on-slurmTAO Execution SDK for submitting and monitoring GPU training jobs on supported platforms (Brev, SLURM,
skillmarket install greatsage_sh/tao-run-platform>-
skillmarket install greatsage_sh/tao-setup-nvidia-gpu-hostAction recognition from video sequences. Supports RGB, optical flow, and joint (multi-stream) input types for
skillmarket install greatsage_sh/tao-train-action-recognitionBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view
skillmarket install greatsage_sh/tao-train-bevfusionCenterPose for keypoint / pose estimation. Detects object centers and regresses keypoint locations for 6-DoF
skillmarket install greatsage_sh/tao-train-centerpose