zarr-python SKILL.md skillA
zarr-python from jaechang-hits/sciagent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jaechang-hits/sciagent-skills/zarr-python@git:20260528.0e69cedPins git:20260528.0e69ced in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jaechang-hits/sciagent-skills
- Path
skills/scientific-computing/zarr-python/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260528.0e69ced, committed May 28, 2026
- First version recorded
- Feb 18, 2026
- Size
- 17,752 bytes
- Repository stars
- 381
- License
- a license file GitHub does not identify
Chunked N-D arrays with compression and cloud storage. NumPy-style indexing. Backends: local, S3, GCS, ZIP, memory. Dask/Xarray integration for parallel and labeled computation. For lineage use lamindb; for labeled arrays use xarray.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# Zarr Python — Chunked N-D Arrays ## Overview Zarr is a Python library for storing large N-dimensional arrays with chunking, compression, and parallel I/O. It provides NumPy-compatible indexing with pluggable storage backends (local, cloud, in-memory), making it the standard format for cloud-native scientific data pipelines. ## When to Use - Storing arrays too large for memory with chunked access (out-of-core computing) - Cloud-native data workflows with S3 or GCS storage backends - Parallel read/write with Dask for large-scale computation - Hierarchical data organization (groups of named arrays with metadata) - Converting between formats (HDF5 → Zarr, NetCDF → Zarr) - Appending time-series data incrementally without rewriting - For **labeled, coordinate-aware arrays** (time, lat, lon), use xarray with Zarr backend instead - For **data management, lineage, and ontology validation**, use lamindb (which uses Zarr as a storage format) ## Prerequisites ```bash pip install zarr # Cloud storage support pip install s3fs # Amazon S3 pip install gcsfs # Google Cloud Storage ``` Requires Python 3.11+. ## Quick Start ```python import zarr import numpy as np …
Read the whole file at its exact version.
How to install
mdr add jaechang-hits/sciagent-skills/zarr-python@sha256:515970a186cf75c7The line at the top of this page pins the label git:20260528.0e69ced, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_w45s3ozdxfuwkrvk)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Feb 18, 2026 and May 28, 2026, about one every 50 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260528.0e69ced latest | 2026-05-28 | 0e69ced | 17,752 B | A | view · diff |
| git:20260428.81ea2d2 | 2026-04-28 | 81ea2d2 | 17,752 B | A | view · diff |
| git:20260218.e460066 | 2026-02-18 | e460066 | 17,834 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (17752 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
jaechang-hits/sciagent-skills · 381 stars · license a license file GitHub does not identify · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_w45s3ozdxfuwkrvk GET https://markdownregistry.com/api/v1/resolve?ref=jaechang-hits/sciagent-skills/zarr-python GET https://markdownregistry.com/api/v1/blob/515970a186cf75c78670b0bc9a6cc2562cf513e77b52675e4614375dfdef4449
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