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Parallel Task Spark

Checked
am-will·vlatest·data

This skill rapidly initiates multiple tasks concurrently, boosting efficiency and speeding up workflows by leveraging parallel processing.

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 am-will/codex-skills --skill parallel-task-spark -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

am-will

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 am-will/codex-skills at 9f954c3b63.

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

Commit
9f954c3b63
Manifest
skills/parallel-task-spark/SKILL.md
Scanned
1 file, 157 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

The parallel-task-spark skill enables AI agents to execute multiple tasks simultaneously, improving efficiency and reducing processing time. It is particularly useful in scenarios where independent operations can be run concurrently rather than sequentially.

When to use it

  • Processing large datasets that can be split into smaller chunks for parallel computation.
  • Running multiple analyses or simulations at the same time to speed up results.
  • Handling real-time data streams by distributing tasks across available resources.
  • Optimizing workflows where task dependencies are minimal or non-existent.

Key capabilities

  • Concurrent execution of independent tasks
  • Resource allocation and load balancing
  • Task scheduling and prioritization
  • Integration with distributed computing frameworks

Example prompts

  • "Run a sentiment analysis on each of these 100 articles in parallel."
  • "Process the incoming data streams from sensors A, B, and C simultaneously."
  • "Distribute this machine learning model training across four GPUs."

Tips & gotchas

  • Ensure tasks are independent to avoid conflicts or race conditions.
  • Monitor system resources to prevent overloading during concurrent execution.