claudecodex

zarr-data-format

Comprehensive agents and skills for working with the Zarr array storage format — creation, compression, cloud backends, xarray integration, and data migration

32 on GitHubby SSEC Engineering Teamv0.1.0BSD-3-Clauseupdated 13 days agodata-science
/

Plugin zarr-data-format from marketplace rse-plugins in uw-ssec/rse-plugins. Commands read from the repo's manifest — 12 days ago.

What it installs

Skills (5)

  • cloud-storage-backends

    Configures Zarr stores on cloud object storage, covering S3, GCS, and Azure Blob backends via fsspec (s3fs, gcsfs, adlfs), the high-performance Rust-based obstore library, and Icechunk for versioned cloud storage. Covers authentication patterns, caching strategies, and performance tuning for remote

  • compression-codecs

    Configures and optimizes compression for Zarr arrays. Covers all numcodecs compressors (Blosc, Zstd, LZ4, Gzip, LZMA, BZ2), pre-compression filters (Delta, Quantize, FixedScaleOffset, PackBits), codec pipelines, Blosc thread safety, and the trade-offs between compression speed and ratio. Use when th

  • data-migration

    Migrates data between formats with a focus on converting HDF5 and NetCDF datasets to Zarr. Covers xarray-based conversion, direct zarr.copy operations, VirtualiZarr for reference-based virtual Zarr stores, kerchunk for legacy workflows, validation strategies, and batch migration pipelines. Use when

  • zarr-fundamentals

    Work with the Zarr array storage format for chunked, compressed, N-dimensional arrays. Covers array creation, hierarchical groups, metadata/attributes, advanced indexing modes, data types, thread/process safety, sharding, and Zarr v2 vs v3 differences. Use when the user asks about Zarr arrays, .zarr

  • zarr-xarray-integration

    Integrates Zarr with xarray and Dask for labeled, multi-dimensional scientific data workflows. Covers reading and writing Zarr stores with xarray, append and region-write operations, multi-file virtual datasets, Dask chunk alignment with Zarr chunks, encoding configuration, consolidated metadata, an

Subagents (2)

  • zarr-cloud-architect

    Specialist in integrating Zarr with cloud object stores (AWS S3, Google Cloud Storage, Azure Blob Storage). Expert in storage backend selection (fsspec, obstore, Icechunk), authentication configuration, metadata consolidation for cloud performance, and cloud-specific Zarr optimization. Use this agen

  • zarr-expert

    Comprehensive Zarr format expert for creating, reading, writing, and managing chunked, compressed, N-dimensional arrays. Deep knowledge of Zarr v2 and v3 specifications, compression codecs, storage backends, metadata management, hierarchical groups, advanced indexing, and integration with xarray, Da

View source on GitHub

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