High-performance Rust-based remote filesystem library. Covers store creation, basic operations, async API, streaming uploads, Arrow integration, and fsspec compatibility wrapper.
Quickly install data-engineering-storage-remote-access-libraries-obstore AI skill to your development environment via command line
Source: legout/data-platform-agent-skills.
obstore (released 2025) provides a minimal, stateless API built on Rust's objectstore crate, offering superior performance for concurrent operations (up to 9x faster than Python-based alternatives).
obstore uses top-level functions (not methods) and a functional API. All operations are functions like obs.get(store, path), not store.get(path).
| Concurrent small files | Moderate | Moderate | 9x faster | | Async support | Yes (aiohttp) | Limited | Native | | Streaming uploads | Yes | Limited | Yes (efficient) | | Parquet pushdown | Via PyArrow | Excellent | Via PyArrow | | Maturity (2025) | Very high | High | Rapidly growing |
High-performance Rust-based remote filesystem library. Covers store creation, basic operations, async API, streaming uploads, Arrow integration, and fsspec compatibility 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-libraries-obstoreHigh-performance Rust-based remote filesystem library. Covers store creation, basic operations, async API, streaming uploads, Arrow integration, and fsspec compatibility 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-libraries-obstore 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