{
  "id": "skill-area:inference-performance-testing",
  "_kind": "SkillArea",
  "_file": "domain/skill-areas/curated-testing-data-ml-skill-areas.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Inference Performance Testing",
    "description": "Measuring serving-path model performance - latency, throughput, batching\neffects, cold starts, and resource usage under realistic traffic.\n",
    "domains": [
      "specialization:ml-inference-serving",
      "specialization:performance-optimization"
    ],
    "expertiseLevels": [
      "intermediate",
      "expert"
    ]
  },
  "outgoingEdges": [
    {
      "from": "skill-area:inference-performance-testing",
      "to": "specialization:ml-inference-serving",
      "kind": "applies_to",
      "attributes": {
        "confidence": "primary"
      }
    },
    {
      "from": "skill-area:inference-performance-testing",
      "to": "specialization:performance-optimization",
      "kind": "applies_to",
      "attributes": {
        "confidence": "secondary"
      }
    },
    {
      "from": "skill-area:inference-performance-testing",
      "to": "skill-area:performance-testing",
      "kind": "requires_skill_area"
    },
    {
      "from": "skill-area:inference-performance-testing",
      "to": "skill-area:model-serving-operations",
      "kind": "requires_skill_area"
    }
  ],
  "incomingEdges": [
    {
      "from": "skill-area:machine-learning",
      "to": "skill-area:inference-performance-testing",
      "kind": "prerequisite_for_learning",
      "attributes": {
        "strength": "recommended"
      }
    },
    {
      "from": "lib-skill:data-science-ml--inference-performance-testing",
      "to": "skill-area:inference-performance-testing",
      "kind": "lib_requires_skill_area",
      "attributes": {
        "weight": 1
      }
    }
  ]
}