{
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  "_kind": "LibrarySkill",
  "_file": "generated-library/skills.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "tensorflow-physics-ml",
    "description": "TensorFlow machine learning skill specialized for physics applications including neural network potentials and surrogate models",
    "libraryPath": "library/specializations/domains/science/physics/skills/tensorflow-physics-ml/SKILL.md",
    "specialization": "physics",
    "contentSummary": "# TensorFlow Physics ML\n\n## Purpose\n\nProvides expert guidance on TensorFlow for physics applications, including physics-informed neural networks and neural network potentials.\n\n## Capabilities\n\n- Physics-informed neural networks (PINNs)\n- Neural network potentials (NNP)\n- Normalizing flows"
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