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Zarr Python

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k-dense-ai·vlatest·backend·MIT

Helps with AI, Python as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add k-dense-ai/scientific-agent-skills --skill zarr-python -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

k-dense-ai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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.

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  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned k-dense-ai/scientific-agent-skills at a1043ef544.

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Commit
a1043ef544
Manifest
skills/zarr-python/SKILL.md
Scanned
0 files
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About this skill

What it does

This skill enables AI agents to interact with Zarr, a cloud-native format for storing arrays. It allows agents to read and write large datasets efficiently, particularly those that don't fit in memory. The skill leverages the zarr-python library to handle these operations within Python environments.

When to use it

  • Large Scientific Datasets: Analyze or process massive image stacks, climate data, or other numerical datasets stored in Zarr format.
  • Cloud Storage Integration: Read and write data directly from cloud storage solutions that support Zarr (e.g., AWS S3, Google Cloud Storage).
  • Data Preprocessing Pipelines: Automate the loading, transformation, and saving of large arrays as part of a machine learning or scientific workflow.

Key capabilities

  • Reading Zarr datasets
  • Writing data to Zarr datasets
  • Working with multi-dimensional arrays in Zarr format
  • Integration with Python environments

Example prompts

  • "Load the 'temperature_data' dataset from my S3 bucket and display the first 100 values."
  • "Write this NumPy array to a new Zarr dataset named 'processed_images'."
  • "Calculate the mean of the data in the 'satellite_imagery' Zarr dataset."

Tips & gotchas

  • Requires a Python environment with the zarr library installed. Ensure your agent has access to this dependency.
  • Zarr datasets can be very large; consider memory limitations when reading or writing entire datasets at once.