Using PyArrow's parquet and dataset modules with remote filesystems (S3, GCS, Azure). Covers native filesystems, fsspec bridge, and obstore wrapper.
Quickly install data-engineering-storage-remote-access-integrations-pyarrow AI skill to your development environment via command line
Source: legout/data-platform-agent-skills.
PyArrow's parquet and dataset modules work seamlessly with cloud storage through its native filesystem abstraction and fsspec compatibility.
Use obstore's high-performance fsspec wrapper for concurrent operations:
See @data-engineering-storage-remote-access/patterns.md for advanced patterns including:
Using PyArrow's parquet and dataset modules with remote filesystems (S3, GCS, Azure). Covers native filesystems, fsspec bridge, and obstore wrapper. Source: legout/data-platform-agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-storage-remote-access-integrations-pyarrowUsing PyArrow's parquet and dataset modules with remote filesystems (S3, GCS, Azure). Covers native filesystems, fsspec bridge, and obstore wrapper. Source: legout/data-platform-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-storage-remote-access-integrations-pyarrow Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/legout/data-platform-agent-skills