dask SKILL.md skillA
dask from marielynneblock/arcanum-artifex is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add marielynneblock/arcanum-artifex/dask@git:20260710.0115f49Pins git:20260710.0115f49 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- marielynneblock/arcanum-artifex
- Path
skills/data-science/dask/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260710.0115f49, committed Jul 10, 2026
- First version recorded
- Apr 6, 2026
- Size
- 14,303 bytes
- Repository stars
- 4
- License
- none declared
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
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
# Dask ## Overview Dask is a Python library for parallel and distributed computing that enables three critical capabilities: - **Larger-than-memory execution** on single machines for data exceeding available RAM - **Parallel processing** for improved computational speed across multiple cores - **Distributed computation** supporting terabyte-scale datasets across multiple machines Dask scales from laptops (processing ~100 GiB) to clusters (processing ~100 TiB) while maintaining familiar Python APIs. ## When to Use This Skill This skill should be used when: - Process datasets that exceed available RAM - Scale pandas or NumPy operations to larger datasets - Parallelize computations for performance improvements - Process multiple files efficiently (CSVs, Parquet, JSON, text logs) - Build custom parallel workflows with task dependencies - Distribute workloads across multiple cores or machines ## Core Capabilities Dask provides five main components, each suited to different use cases: ### 1. DataFrames - Parallel Pandas Operations **Purpose**: Scale pandas operations to larger datasets through parallel processing. **When to Use**: - Tabular data exceeds available RAM …
Read the whole file at its exact version.
How to install
mdr add marielynneblock/arcanum-artifex/dask@sha256:c7668529d06dd66eThe line at the top of this page pins the label git:20260710.0115f49, 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_yiccn4nsrtgfff33)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Apr 6, 2026 and Jul 10, 2026, about one every 32 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260710.0115f49 latest | 2026-07-10 | 0115f49 | 14,303 B | A | view · diff |
| git:20260710.ffb3400 | 2026-07-10 | ffb3400 | 14,302 B | A | view · diff |
| git:20260515.b861afb | 2026-05-15 | b861afb | 14,302 B | A | view · diff |
| git:20260406.05dff34 | 2026-04-06 | 05dff34 | 14,303 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 (14303 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
marielynneblock/arcanum-artifex · 4 stars · license none declared · pushed 2026-09-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_yiccn4nsrtgfff33 GET https://markdownregistry.com/api/v1/resolve?ref=marielynneblock/arcanum-artifex/dask GET https://markdownregistry.com/api/v1/blob/c7668529d06dd66e8f298571fe48692b84d5526b5a9dbc0ab8c213fe651e36a6
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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