skills/claude-scientific-skills
1
0
Fork 0
mirror of https://github.com/K-Dense-AI/claude-scientific-skills.git synced 2026-03-27 07:09:27 +08:00
Code Issues Packages Projects Releases Wiki Activity

Update SKILL.md files to add double quotation marks for all skills, ensuring clarity and consistency across all entries.

Browse Source
This commit is contained in:
Haoxuan "Orion" Li
2025-10-20 20:51:50 -07:00
parent c0fa308af8
commit c2b16829f6
68 changed files with 68 additions and 68 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
scientific-packages/zarr-python/SKILL.md
View File

@@ -1,6 +1,6 @@
---
name: zarr-python
description: Toolkit for working with Zarr, a Python library for chunked, compressed N-dimensional arrays optimized for cloud storage and large-scale scientific computing. Use this skill when working with large datasets that need efficient storage and parallel access, multidimensional arrays requiring chunking and compression, cloud-native data workflows (S3, GCS), or when integrating with NumPy, Dask, and Xarray for scientific computing tasks. Essential for handling datasets larger than memory, implementing parallel I/O operations, optimizing storage with compression, creating hierarchical data structures, converting between scientific data formats (HDF5, NetCDF, NumPy), managing cloud storage workflows, implementing chunked array operations, and building scalable scientific computing pipelines.
description: "Toolkit for working with Zarr, a Python library for chunked, compressed N-dimensional arrays optimized for cloud storage and large-scale scientific computing. Use this skill when working with large datasets that need efficient storage and parallel access, multidimensional arrays requiring chunking and compression, cloud-native data workflows (S3, GCS), or when integrating with NumPy, Dask, and Xarray for scientific computing tasks. Essential for handling datasets larger than memory, implementing parallel I/O operations, optimizing storage with compression, creating hierarchical data structures, converting between scientific data formats (HDF5, NetCDF, NumPy), managing cloud storage workflows, implementing chunked array operations, and building scalable scientific computing pipelines."
---
# Zarr Python