Alternatives to dask
50 AI Skills apps to use instead, best rated first.
Top picks
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webapp-testing
LaunchNative Python Playwright scripts for testing local web applications with server lifecycle management. Includes with_server.py helper to automatically start and manage single or multiple servers before running automation scripts. Supports re
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content-research-writer
LaunchAssists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on
- O

openhue
Launchopenhue is an agent skill from the OpenClaw project, listed on skills.sh. It lets an agent control Philips Hue lights and scenes through a Hue Bridge with the OpenHue CLI: turn lights on and off, dim rooms, set scenes such as movie mode, an
- B

batch-grill-me
Launchbatch-grill-me is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It interviews you relentlessly about a plan until you share an understanding. It maps decisions as a tree and asks every question it can answer now
- I

implement
Launchimplement is an agent skill from Matt Pocock's skills collection, listed on skills.sh. It implements work from a spec or tickets: it fetches the ticket, works test-first at agreed seams, runs type checks and tests as it goes, reviews the re
- F

frontend-design
LaunchDistinctive, production-grade frontend interfaces that reject generic AI aesthetics through intentional design choices. Guides aesthetic direction selection (brutalist, maximalist, retro-futuristic, luxury, organic, etc.) before implementat
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brainstorming
Transform rough ideas into fully-formed designs through structured questioning

finishing-a-development-branch
Guides completion of development work by presenting clear options

test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
About dask

dask
Scales pandas, NumPy
dask is an agent skill for scaling pandas, NumPy and custom Python research workflows beyond the memory of one machine, or across a cluster, using Dask. Dask is a Python library for parallel and distributed computing. It offers larger-than-memory execution on one machine, parallel processing across cores, and distributed computation for datasets at terabyte scale across several machines. The skill covers DataFrames, Arrays, Bags, Futures, chunking and related patterns. How far a job can go depends on partition sizes, intermediate data, concurrency, storage and available memory, and the skill takes those into account. The reviewed release is dask and distributed 2026.8.0, reviewed on 30 September 2026. The skill notes that since version 2025.1.0 the expression-based DataFrame API with query planning is the only implementation, so you should not install dask-expr separately or set dataframe.query-planning to False. It includes a quick start and installation guide. It is part of the k-dense-ai scientific agent skills repository on GitHub, which has about 49,600 stars. The listing shows it as free, and it has about 1,900 installs.
- Price
- Free
- Made by
- k-dense-ai
- Category
- AI Skills
- Website
- github.com/k-dense-ai/scientific-agent-skills/dask
