{
  "id": "scientific/dask",
  "version": "1.0.0",
  "name": "dask",
  "description": "Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.",
  "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 dask",
        "you need to scale existing pandas/numpy code beyond memory or across clusters"
      ]
    },
    "cursor": {},
    "skeneflow": {}
  }
}
