dask SKILL.md skillA
dask from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add k-dense-ai/scientific-agent-skills/dask@v1.4Pins v1.4 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- k-dense-ai/scientific-agent-skills
- Path
skills/dask/SKILL.md- Versions recorded
- 6
- Latest version
- v1.4, committed Oct 1, 2026
- First version recorded
- May 27, 2026
- Size
- 17,483 bytes
- Repository stars
- 53,159
- License
- MIT
Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics. Use for partitioned file processing, scientific array computation, or parallel tasks whose memory and dependency structure require Dask.
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 Capacity depends on partition sizes, intermediate data, concurrency, storage, and available memory. **Reviewed release:** dask/distributed **2026.8.0** (September 30, 2026 review). Docs: [docs.dask.org](https://docs.dask.org/en/stable/). Since **2025.1.0**, the expression-based DataFrame API with query planning is the only implementation — do not install `dask-expr` separately or set `dataframe.query-planning: False`. ## Quick Start ### Installation ```bash uv pip install "dask[array,dataframe]==2026.8.0" ``` For a typical pandas/NumPy workflow with the distributed scheduler and dashboard: ```bash uv pip install "dask[complete]==2026.8.0" ``` Remote object storage (requires provider credentials for private data): ```bash uv pip install s3fs # s3:// paths uv pip install gcsfs # gs:// paths …
Read the whole file at its exact version.
How to install
mdr add k-dense-ai/scientific-agent-skills/dask@sha256:3b563a98f4cb4285The line at the top of this page pins the label v1.4, 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_rcqlliqe5veeyl3q)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 6 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.4 latest | 2026-10-01 | a92663a | 17,483 B | A | view · diff |
| v1.3 | 2026-09-30 | ce9e6e9 | 16,720 B | A | view · diff |
| v1.2 | 2026-09-02 | 1e5eeff | 16,370 B | A | view · diff |
| v1.1 | 2026-07-26 | b085e11 | 15,413 B | A | view · diff |
| git:20260611.1b8fae3 | 2026-06-11 | 1b8fae3 | 15,418 B | A | view · diff |
| v1.0 | 2026-05-27 | 0936740 | 14,318 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 (17483 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
k-dense-ai/scientific-agent-skills · 53,159 stars · license MIT · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rcqlliqe5veeyl3q GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/dask GET https://markdownregistry.com/api/v1/blob/3b563a98f4cb42858bb1cc49832a3fa1ff9483d929af57ebe629473538e5a041
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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