{
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  "_kind": "LibrarySkill",
  "_file": "generated-library/skills.yaml",
  "_cluster": "generated-library",
  "attributes": {
    "displayName": "qdrant-integration",
    "description": "Qdrant vector database with filtering, payloads, and quantization support",
    "libraryPath": "library/specializations/ai-agents-conversational/skills/qdrant-integration/SKILL.md",
    "specialization": "ai-agents-conversational",
    "contentSummary": "# Qdrant Integration Skill\n\n## Capabilities\n\n- Set up Qdrant (local, cloud, self-hosted)\n- Create collections with configuration\n- Implement advanced filtering with payloads\n- Configure quantization for efficiency\n- Set up sparse vectors for hybrid search\n- Implement batch operations and op"
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        "weight": 1
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        "weight": 0.7
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}