Zarr Python
CheckedAutomates Zarr data access and manipulation in Python via Jackspace's backend integration for efficient storage and processing.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add jackspace/claudeskillz --skill zarr-python -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
jackspace
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Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned jackspace/claudeskillz at aef4e299d1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- aef4e299d1
- Scanned
- 2 files, 726 lines
About this skill
What it does
This skill provides access to and manipulation of Zarr data through Python. Zarr is a format for storing large, multi-dimensional arrays in compressed chunks, often used for scientific datasets. The skill allows you to read, write, and manage these datasets programmatically using the zarr Python library.
When to use it
- Analyzing large scientific datasets: Load and process massive image stacks or simulation data stored in Zarr format.
- Creating custom data pipelines: Build workflows that involve reading from and writing to Zarr stores for efficient data management.
- Working with cloud-based storage: Interact with Zarr datasets hosted on object storage services like AWS S3 or Google Cloud Storage.
- Developing data analysis tools: Integrate Zarr functionality into custom Python scripts for data exploration and visualization.
Key capabilities
- Reads Zarr arrays from various backends (local filesystem, cloud storage).
- Writes Zarr arrays to different storage locations.
- Supports compressed chunking for efficient storage of large datasets.
- Provides access to the
zarrPython library's functionality.
Example prompts
- "Read the array 'my_array' from the Zarr store at /path/to/store."
- "Write the contents of this NumPy array to a new Zarr dataset named 'new_data'."
- "List all datasets in the Zarr store located at s3://my-bucket/zarr-data/"
Tips & gotchas
- Requires Python and the
zarrlibrary to be installed. Ensure these dependencies are met before using the skill.