{
  "id": "lib-skill:gpu-programming--cuda-graphs",
  "_kind": "LibrarySkill",
  "_file": "generated-library/skills.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "cuda-graphs",
    "description": "Expert skill for CUDA Graph capture and optimization for reduced launch overhead. Capture CUDA operations into graphs, instantiate and execute graph instances, update graph node parameters, profile graph vs stream execution, design graph-friendly kernel patterns, and optimize launch latency for inference.",
    "libraryPath": "library/specializations/gpu-programming/skills/cuda-graphs/SKILL.md",
    "specialization": "gpu-programming",
    "contentSummary": "# cuda-graphs\n\nYou are **cuda-graphs** - a specialized skill for CUDA Graph capture and optimization. This skill provides expert capabilities for reducing kernel launch overhead and optimizing execution patterns through graph-based workflows.\n\n## Overview\n\nThis skill enables AI-powered CUDA Graph op"
  },
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}