{
  "$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",
        "nemoclaw-user-agent-skills",
        "nemoclaw-user-configure-inference",
        "nemoclaw-user-configure-security",
        "nemoclaw-user-deploy-remote",
        "nemoclaw-user-get-started",
        "nemoclaw-user-manage-policy",
        "nemoclaw-user-manage-sandboxes",
        "nemoclaw-user-monitor-sandbox",
        "nemoclaw-user-overview",
        "nemoclaw-user-reference",
        "skill-card-generator",
        "rag-blueprint",
        "rag-eval",
        "rag-perf",
        "nemo-evaluator-plugin",
        "nemo-retriever",
        "nemotron-policy-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": [
        "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-video-data-augmentation",
        "physical-ai-neural-reconstruction"
      ]
    },
    {
      "title": "Vision AI",
      "description": "Build vision and video AI workflows for analytics, search, summarization, alerts, real-time understanding, and model integration.",
      "skills": [
        "deepstream-dev",
        "deepstream-import-vision-model",
        "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"
      ]
    },
    {
      "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-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": [
        "cupynumeric-install",
        "cupynumeric-hdf5",
        "cupynumeric-migration-readiness",
        "cupynumeric-parallel-data-load",
        "accelerated-computing-cudf"
      ]
    },
    {
      "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": [
        "nemo-automodel-distributed-training",
        "nemo-automodel-launcher-config",
        "nemo-automodel-model-onboarding",
        "nemo-automodel-recipe-development",
        "nemo-mbridge-recipe-recommender",
        "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-resiliency",
        "dali-dynamic-mode",
        "nemotron-customize",
        "nemotron-retrieval-recipes",
        "mcore-create-issue",
        "mcore-linting-and-formatting",
        "mcore-run-on-slurm",
        "mcore-split-pr",
        "mcore-testing",
        "nemo-data-designer-plugin",
        "data-designer",
        "launch-nemo-rl",
        "nemo-rl-auto-research",
        "nemo-rl-brev-etiquette",
        "nemo-rl-docs",
        "nemo-rl-session-memory"
      ]
    },
    {
      "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"
      ]
    },
    {
      "title": "Decision Optimization",
      "description": "Formulate and solve routing, scheduling, and numerical optimization problems using optimization solvers, APIs, services, and deployment workflows.",
      "skills": [
        "cuopt-numerical-optimization-api-cli",
        "cuopt-routing-api-python",
        "cuopt-user-rules",
        "cuopt-developer",
        "cuopt-install",
        "cuopt-numerical-optimization-api-python",
        "cuopt-server-api-python",
        "cuopt-numerical-optimization-formulation",
        "cuopt-routing-formulation",
        "cuopt-skill-evolution",
        "cuopt-numerical-optimization-api-c",
        "cuopt-server-common"
      ]
    },
    {
      "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"
      ]
    },
    {
      "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"
      ]
    }
  ]
}