Ray Data

Scalable data processing for ML workloads. Streaming execution across CPU/GPU, supports Parquet/CSV/JSON/images. Integrates with Ray Train, PyTorch, TensorFlow. Scales from single machine to 100s of nodes. Use for batch inference, data preprocessing, multi-modal data loading, or distributed ETL pipelines.

Originally published by orchestra. Licensed under MIT. View original: https://github.com/Orchestra-Research/AI-Research-SKILLs/tree/main/05-data-processing/ray-data

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Add the free skill.ski MCP server to your .mcp.json or equivalent config file:

{
  "mcpServers": {
    "skill-ski-free": {
      "url": "https://mcp.skill.ski/free",
      "type": "http"
    }
  }
}

Once connected, this Oski is available as a callable tool at your runtime. No paywall. No sign-in required for free-tier Oskis.