·data-engineering-storage-remote-access
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data-engineering-storage-remote-access

Cloud storage access in Python: fsspec, pyarrow.fs, obstore libraries, plus integrations with Polars, DuckDB, PyArrow, Delta Lake, and Iceberg.

5Installs·0Trend·@legout

Installation

$npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-storage-remote-access

How to Install data-engineering-storage-remote-access

Quickly install data-engineering-storage-remote-access AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-storage-remote-access
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: legout/data-platform-agent-skills.

SKILL.md

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Comprehensive guide to accessing cloud storage (S3, GCS, Azure) and remote filesystems in Python. Covers three major libraries - fsspec, pyarrow.fs, and obstore - and their integration with data engineering tools.

| Best For | Broad compatibility, ecosystem integration | Arrow-native workflows, Parquet | High-throughput, performance-critical | | Backends | S3, GCS, Azure, HTTP, FTP, 20+ more | S3, GCS, HDFS, local | S3, GCS, Azure, local | | Performance | Good (with caching) | Excellent for Parquet | 9x faster for concurrent ops |

| Dependencies | Backend-specific (s3fs, gcsfs) | Bundled with PyArrow | Zero Python deps (Rust) | | Async Support | Yes (aiohttp) | Limited | Native sync/async | | DataFrame Integration | Universal | PyArrow-native | Via fsspec wrapper | | Maturity | Very mature (2018+) | Mature | New (2025), rapidly evolving |

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-storage-remote-access
Category
{}Data Analysis
Verified
First Seen
2026-02-22
Updated
2026-03-10

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Quick answers

What is data-engineering-storage-remote-access?

Cloud storage access in Python: fsspec, pyarrow.fs, obstore libraries, plus integrations with Polars, DuckDB, PyArrow, Delta Lake, and Iceberg. Source: legout/data-platform-agent-skills.

How do I install data-engineering-storage-remote-access?

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 Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/legout/data-platform-agent-skills