{ "$schema": "https://skills.sh/schemas/skills.sh.schema.json", "notGrouped": "bottom", "groupings": [ { "title": "Agentic AI", "description": "Build and operate agentic systems, including RAG workflows, evaluation harnesses, tool use, policy, sandboxing, agent configuration, and agent workflow automation.", "skills": [ "aiq-deploy", "aiq-research", "nemo-evaluator-plugin", "nemo-retriever", "nemoclaw-user-guide", "nemotron-policy-generator", "rag-blueprint", "rag-eval", "rag-perf", "skill-card-generator" ] }, { "title": "Physical AI", "description": "Build and validate AI workflows that interact with the physical world, including robotics, autonomy, simulation, synthetic data, and embodied AI systems.", "skills": [ "hsb-app", "hsb-flash", "hsb-setup", "hsb-test", "jetson-build-source", "jetson-customize-camera", "jetson-customize-fan", "jetson-customize-nvpmodel", "jetson-customize-uphy", "jetson-customize-usb", "jetson-derive-carrier", "jetson-diagnostic", "jetson-download-bsp", "jetson-flash-image", "jetson-init-image", "jetson-init-source", "jetson-init-target", "jetson-link-docs", "jetson-memory-audit", "jetson-package", "jetson-print-bsp-info", "jetson-print-device-info", "jetson-quick-start", "jetson-set-target", "omniverse-cad-to-simready", "omniverse-realtime-viewer", "omniverse-usd-performance-tuning", "physical-ai-defect-image-generation", "physical-ai-infrastructure-setup-and-resilient-scaling", "physical-ai-neural-reconstruction", "physical-ai-people-attribute-search", "physical-ai-video-data-augmentation" ] }, { "title": "Robotics", "description": "Build, deploy, test, and operate robotic systems, robot policies, robot applications, and robot development workflows.", "skills": [ "jetson-customize-pcie", "jetson-customize-pinmux", "jetson-validate-image" ] }, { "title": "Vision AI", "description": "Build vision and video AI workflows for analytics, search, summarization, alerts, real-time understanding, and model integration.", "skills": [ "amc-run-sample-calibration", "amc-run-video-calibration", "amc-setup-calibration-stack", "deepstream-dev", "deepstream-generate-pipeline", "deepstream-import-vision-model", "deepstream-profile-pipeline", "deepstream-sop", "dicom-metadata-extract", "dicom-series-preflight", "dicom-series-to-volume", "nv-generate-ct-rflow", "nv-generate-mr", "nv-generate-mr-brain", "nv-generate-mr-brain-finetune", "nv-generate-vae-finetune", "nv-reason-cxr", "nv-segment-ct", "nv-segment-ct-finetune", "nv-segment-ctmr", "tao-analyze-changenet-rca", "tao-analyze-gaps-visual-changenet", "tao-analyze-gaps-vlm-bcq", "tao-finetune-clip", "tao-finetune-cosmos-embed", "tao-generate-image-grounding", "tao-generate-referring-expressions", "tao-mine-aoi-images", "tao-port-huggingface-model", "tao-route-visual-changenet-samples", "tao-run-deft-aoi", "tao-train-action-recognition", "tao-train-bevfusion", "tao-train-deformable-detr", "tao-train-depth-anything-v2", "tao-train-dino", "tao-train-fast-foundation-stereo", "tao-train-foundation-stereo", "tao-train-grounding-dino", "tao-train-image-classification", "tao-train-mask-auto-label", "tao-train-mask-grounding-dino", "tao-train-mask2former", "tao-train-nvdinov2", "tao-train-nvpanoptix3d", "tao-train-ocdnet", "tao-train-ocrnet", "tao-train-oneformer", "tao-train-optical-inspection", "tao-train-pointpillars", "tao-train-pose-classification", "tao-train-reid", "tao-train-rtdetr", "tao-train-segformer", "tao-train-sparse4d", "tao-train-visual-changenet", "vss-ask-video", "vss-deploy-dense-captioning", "vss-deploy-detection-tracking-2d", "vss-deploy-detection-tracking-3d", "vss-deploy-profile", "vss-deploy-video-embedding", "vss-generate-video-calibration", "vss-generate-video-report", "vss-manage-alerts", "vss-manage-video-io-storage", "vss-query-analytics", "vss-search-archive", "vss-setup-behavior-analytics", "vss-setup-video-analytics-api", "vss-summarize-video" ] }, { "title": "Conversational AI", "description": "Build and deploy speech, voice, dialogue, and multimodal conversational AI workflows, including real-time assistant and voice-agent experiences.", "skills": [ "digital-health-clinical-asr-build", "digital-health-clinical-asr-eval", "digital-health-clinical-asr-finetune", "digital-health-clinical-asr-setup", "nemotron-speech" ] }, { "title": "Simulation and Modeling", "description": "Create, run, validate, and analyze simulation and modeling workflows for systems, environments, processes, and physical phenomena.", "skills": [ "earth2studio-create-datasource", "earth2studio-create-diagnostic", "earth2studio-create-prognostic", "earth2studio-data-fetch", "earth2studio-deterministic-forecast", "earth2studio-discover", "earth2studio-install", "physicsnemo-discover" ] }, { "title": "Data Science", "description": "Prepare, analyze, explore, and model data for AI and accelerated analytics workflows that are not specific to one training, inference, or agent task.", "skills": [ "accelerated-computing-cudf", "cupynumeric-hdf5", "cupynumeric-install", "cupynumeric-migration-readiness", "cupynumeric-parallel-data-load" ] }, { "title": "Training AI", "description": "Build, validate, tune, and maintain large-scale model training workflows, including distributed training, model support, training validation, performance tuning, and training-stack CI.", "skills": [ "dali-dynamic-mode", "data-designer", "launch-nemo-rl", "mcore-create-issue", "mcore-linting-and-formatting", "mcore-run-on-slurm", "mcore-split-pr", "mcore-testing", "nemo-automodel-distributed-training", "nemo-automodel-launcher-config", "nemo-automodel-model-onboarding", "nemo-automodel-recipe-development", "nemo-data-designer-plugin", "nemo-mbridge-mlm-bridge-training", "nemo-mbridge-multi-node-slurm", "nemo-mbridge-perf-activation-recompute", "nemo-mbridge-perf-cpu-offloading", "nemo-mbridge-perf-cuda-graphs", "nemo-mbridge-perf-expert-parallel-overlap", "nemo-mbridge-perf-hierarchical-context-parallel", "nemo-mbridge-perf-megatron-fsdp", "nemo-mbridge-perf-memory-tuning", "nemo-mbridge-perf-moe-comm-overlap", "nemo-mbridge-perf-moe-dispatcher-selection", "nemo-mbridge-perf-moe-hardware-configs", "nemo-mbridge-perf-moe-long-context", "nemo-mbridge-perf-moe-optimization-workflow", "nemo-mbridge-perf-moe-vlm-training", "nemo-mbridge-perf-parallelism-strategies", "nemo-mbridge-perf-sequence-packing", "nemo-mbridge-perf-tp-dp-comm-overlap", "nemo-mbridge-recipe-recommender", "nemo-mbridge-resiliency", "nemo-rl-auto-research", "nemo-rl-brev-etiquette", "nemo-rl-docs", "nemo-rl-session-memory", "nemotron-customize", "nemotron-retrieval-recipes", "tao-convert-dataset-format", "tao-finetune-cosmos-reason", "tao-finetune-huggingface-model", "tao-generate-video-reasoning-annotations", "tao-launch-workflow", "tao-list-capabilities", "tao-run-automl", "tao-run-automl-deft-pipeline", "tao-run-on-local-docker", "tao-run-platform", "tao-train-centerpose", "tao-train-mask-auto-encoder", "tao-train-metric-learning-recognition", "tao-train-single-step", "tao-validate-dataset-format" ] }, { "title": "Inference AI", "description": "Deploy, serve, optimize, and evaluate models for production inference, including quantization, runtime performance, and serving configuration.", "skills": [ "dynamo-interconnect-check", "dynamo-recipe-runner", "dynamo-router-starter", "dynamo-troubleshoot", "jetson-inference-mem-tune", "jetson-llm-benchmark", "jetson-llm-serve", "jetson-speculative-decoding", "tao-run-inference-service" ] }, { "title": "Decision Optimization", "description": "Formulate and solve routing, scheduling, and numerical optimization problems using optimization solvers, APIs, services, and deployment workflows.", "skills": [ "cufolio", "cuopt-developer", "cuopt-install", "cuopt-multi-objective-exploration", "cuopt-numerical-optimization-api", "cuopt-numerical-optimization-formulation", "cuopt-routing-api-python", "cuopt-server-api-python" ] }, { "title": "GPU Development", "description": "Develop, tune, profile, and integrate GPU kernels and accelerated code, including CUDA-adjacent workflows, autotuning, low-level performance work, and framework integration.", "skills": [ "tilegym-adding-cutile-kernel", "tilegym-converting-cutile-to-julia", "tilegym-converting-cutile-to-triton", "tilegym-cutile-autotuning", "tilegym-cutile-python", "tilegym-improve-cutile-kernel-perf", "tilegym-monkey-patch-kernels-to-transformers" ] }, { "title": "Quantum Computing", "description": "Build, run, and validate quantum and hybrid quantum-classical applications, including CUDA-Q development workflows.", "skills": [ "cudaq-guide" ] }, { "title": "Infrastructure", "description": "Deploy, operate, monitor, and troubleshoot clusters, runtimes, services, networking, and platform infrastructure for accelerated and AI workloads.", "skills": [ "holoscan-install-conda", "holoscan-install-container", "holoscan-install-debian", "holoscan-install-source", "holoscan-install-wheel", "holoscan-setup", "jetson-customize-clocks", "jetson-generate-kb", "jetson-headless-mode", "jetson-optimize-memory", "jetson-promote-image", "tao-run-on-brev", "tao-run-on-kubernetes", "tao-run-on-slurm", "tao-setup-nvidia-gpu-host" ] }, { "title": "Networking", "description": "Configure, operate, optimize, and troubleshoot networking workflows for data centers, clusters, edge systems, and accelerated infrastructure.", "skills": [ "jetson-customize-mgbe" ] } ] }