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Dask Optimization

Checked
tondevrel·vlatest·other·MIT

Optimizes Dask workflows for faster parallel processing and reduced resource consumption using advanced scheduling techniques.

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 tondevrel/scientific-agent-skills --skill dask-optimization -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

tondevrel

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 passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    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.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned tondevrel/scientific-agent-skills at 6e89d9e8c8.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
6e89d9e8c8
Manifest
skills/dask-optimization/SKILL.md
Scanned
1 file, 196 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill optimizes Dask workflows for improved performance. It automatically identifies and resolves bottlenecks in data processing pipelines, leading to faster execution times. The agent can analyze existing Dask graphs and suggest or implement changes to enhance efficiency.

When to use it

  • Slow Data Processing: When a Dask-based data analysis pipeline is taking an unacceptably long time to complete.
  • Resource Constraints: To reduce the memory footprint or CPU usage of a Dask job, especially when running on limited hardware.
  • Complex Workflows: When dealing with intricate Dask graphs where manual optimization would be difficult and error-prone.
  • Performance Tuning: As part of an iterative process to continually improve the speed and efficiency of data analysis tasks.

Key capabilities

  • Dask graph analysis
  • Bottleneck identification
  • Automatic optimization suggestions
  • Workflow restructuring for improved performance

Example prompts

  • "Optimize this Dask workflow: [paste Dask code]"
  • "Analyze the performance of my Dask pipeline and suggest improvements."
  • "Reduce the memory usage of this Dask job."

Tips & gotchas

This skill requires a working Dask environment. The agent's suggestions should be reviewed carefully before implementation, as automatic changes could potentially introduce unexpected behavior.