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Parallel Task

Checked
chipagosfinest·vlatest·agents

This Parallel Task agent swiftly executes multiple tasks concurrently, boosting efficiency and speeding up workflows dramatically.

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 chipagosfinest/claude-multi-agent-systems --skill parallel-task -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

chipagosfinest

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 chipagosfinest/claude-multi-agent-systems at 63cdb41578.

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

Commit
63cdb41578
Manifest
multi-agent-systems/skills/parallel-task/SKILL.md
Scanned
1 file, 143 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 allows an AI agent to break down a complex task into smaller, independent subtasks and execute them in parallel. It's designed for workflows requiring multiple steps that don’t need to be completed sequentially, significantly reducing overall processing time. The agent can then aggregate the results from each subtask to produce a final output.

When to use it

  • Data analysis: Analyzing large datasets by splitting the data into chunks and performing calculations on each chunk simultaneously.
  • Content creation: Generating multiple variations of marketing copy or image assets concurrently.
  • Research tasks: Gathering information from various sources (websites, documents) in parallel to accelerate research projects.
  • Code generation: Generating different code snippets for a larger program and combining them after completion.

Key capabilities

  • Task decomposition: Breaks down complex requests into smaller subtasks.
  • Parallel execution: Executes subtasks concurrently.
  • Result aggregation: Combines results from parallel tasks into a unified output.

Example prompts

  • "Analyze these five CSV files and summarize the key trends in each."
  • "Generate three different blog post outlines on the topic of 'sustainable living'."
  • "Research the top 10 competitors for [product name] and create a comparison table."

Tips & gotchas

The agent's performance depends on the independence of subtasks; tasks with dependencies will not benefit from parallelization. Ensure that the task can be logically divided into independent units before using this skill.