{
  "id": "scientific/rowan",
  "version": "1.0.0",
  "name": "rowan",
  "description": "Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.",
  "domain": "scientific",
  "source": "external",
  "tools": [],
  "exitStates": [
    "success",
    "failure"
  ],
  "inputSchema": {},
  "outputSchema": {},
  "temperature": 0,
  "tags": [
    "scientific",
    "imported",
    "community"
  ],
  "platforms": {
    "claude": {
      "license": "Proprietary (API key required)",
      "triggers": [
        "help with rowan",
        "tasks involve quantum chemistry calculations, molecular property prediction, dft or semiempirical methods, neural network potentials (aimnet2), protein-ligand binding predictions, or automated computational chemistry pipelines"
      ]
    },
    "cursor": {},
    "skeneflow": {}
  }
}
