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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.

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Install

armory install ray-data --cli claude

writes the skill into.claude/skills/ray-data/SKILL.mdListed as compatible

Configuration
# fetches the source and writes it to:
.claude/skills/ray-data/SKILL.md

Needs the armory CLI · not on npm yet, build it from cli/ in the repository

What it is

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.

When to use it

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.

How to install / invoke

# Copy the skill into your .claude/skills/ directory
curl -sL https://raw.githubusercontent.com/davila7/claude-code-templates/main/cli-tool/components/skills/ai-research/data-processing-ray-data/SKILL.md -o .claude/skills/data-processing-ray-data/SKILL.md

Notes

Extracted from davila7/claude-code-templates, data-processing-ray-data category.