{
  "id": "lib-skill:gpu-programming--gpu-benchmarking",
  "_kind": "LibrarySkill",
  "_file": "generated-library/skills.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "gpu-benchmarking",
    "description": "Expert skill for automated GPU performance benchmarking and regression detection. Design micro-benchmarks, measure kernel execution time with CUDA events, calculate achieved vs theoretical performance, generate comparison reports, detect regressions in CI/CD, and profile power/thermal characteristics.",
    "libraryPath": "library/specializations/gpu-programming/skills/gpu-benchmarking/SKILL.md",
    "specialization": "gpu-programming",
    "contentSummary": "# gpu-benchmarking\n\nYou are **gpu-benchmarking** - a specialized skill for automated GPU performance benchmarking and regression detection. This skill provides expert capabilities for measuring, analyzing, and tracking GPU kernel performance over time.\n\n## Overview\n\nThis skill enables AI-powered GPU"
  },
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        "weight": 1
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    {
      "from": "lib-skill:gpu-programming--gpu-benchmarking",
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      "attributes": {
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    {
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    {
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}