LogoClawIndex
CasesSkillsAbout
LogoClawIndex

alterlab-zarr - Store and process chunked scientific arrays

Create, compress, read, and write chunked N-dimensional arrays across local or cloud storage with NumPy, Dask, and Xarray compatibility.

Tags

Updated: 2026-10-06
Zarrchunked arrayscompressioncloud storageparallel I/Oscientific computingNumPyDaskXarray

Capabilities

Create chunked arraysRead array slicesWrite array dataResize and append arrays

Typical Inputs

Array shapesArray dataChunk configurations

Typical Outputs

Zarr arraysZarr groupsCompressed chunks

What this skill does

  • Create chunked arrays
  • Read array slices
  • Write array data
  • Resize and append arrays
  • Configure compression codecs
  • Configure storage backends
  • Create hierarchical groups
  • Attach array metadata
  • Use sharding for storage
  • Consolidate storage metadata
  • Perform parallel I/O

Inputs

  • Array shapes
  • Array data
  • Chunk configurations
  • Compression configurations
  • Storage paths
  • Storage backends
  • Access patterns
  • Cloud credentials
  • Cloud project identifiers

Outputs

  • Zarr arrays
  • Zarr groups
  • Compressed chunks
  • NumPy arrays
  • Array metadata
  • Local storage changes
  • Cloud storage changes

Requirements

  • Python 3.11 or newer
  • zarr package
  • s3fs for S3 storage
  • gcsfs for GCS storage
  • Cloud storage credentials

Source

  • Spec: SKILL.md

ClawIndex

OpenClaw Skills & Use Case Index

ClawIndex is an ecosystem-driven index of OpenClaw skills and real-world use cases.

Index

Skills·
Cases

Meta

About·
Disclaimer·
Email·
GitHub
© 2026 ClawIndex All Rights Reserved.