{
  "id": "scientific/scvi-tools",
  "version": "1.0.0",
  "name": "scvi-tools",
  "description": "Deep generative models for single-cell omics. Use when you need probabilistic batch correction (scVI), transfer learning, differential expression with uncertainty, or multi-modal integration (TOTALVI, MultiVI). Best for advanced modeling, batch effects, multimodal data. For standard analysis pipelines use scanpy.",
  "domain": "scientific",
  "source": "external",
  "tools": [],
  "exitStates": [
    "success",
    "failure"
  ],
  "inputSchema": {},
  "outputSchema": {},
  "temperature": 0,
  "tags": [
    "scientific",
    "imported",
    "community"
  ],
  "platforms": {
    "claude": {
      "license": "BSD-3-Clause license",
      "triggers": [
        "help with scvi tools",
        "data analysis",
        "you need probabilistic batch correction (scvi), transfer learning, differential expression with uncertainty, or multi-modal integration (totalvi, multivi)"
      ]
    },
    "cursor": {},
    "skeneflow": {}
  }
}
