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Dispatching Parallel Agents

Checked
lgbarn·vlatest·agents·MIT

Dynamically distributes tasks to multiple parallel agents for faster, more efficient completion using lgbarn's intelligent dispatching.

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 lgbarn/devops-skills --skill dispatching-parallel-agents -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

lgbarn

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 lgbarn/devops-skills at 8a37cc3fe5.

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

Commit
8a37cc3fe5
Manifest
skills/dispatching-parallel-agents/SKILL.md
Scanned
1 file, 263 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 dispatch tasks across multiple, parallel agents. It can distribute workloads for increased efficiency and faster completion times. The system manages the assignment of subtasks to individual agents and aggregates their results into a unified output.

When to use it

  • Complex Research: Break down a large research project into smaller queries handled by different search agents.
  • Data Extraction from Multiple Sources: Distribute data extraction tasks across multiple agents, each scraping a different website or API.
  • Parallel Code Review: Have several agents review code concurrently to accelerate the feedback process.
  • Content Generation with Diverse Styles: Assign different writing styles (e.g., formal, informal, technical) to separate agents for a single content piece.

Key capabilities

  • Task distribution across multiple agents
  • Subtask assignment and management
  • Result aggregation from parallel agents
  • Workload balancing

Example prompts

  • "Divide this research topic into three sub-questions and assign each to a different agent."
  • "Extract data from these five URLs, using separate agents for each URL."
  • "Review this code block for security vulnerabilities. Assign sections of the code to multiple agents for faster review."

Tips & gotchas

This skill requires access to multiple AI agent instances or a system capable of spawning them. Ensure that the tasks assigned to parallel agents are independent and can be executed without significant inter-agent communication for optimal performance.