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Dispatching Parallel Agents

Checked
hainamchung·vlatest·agents·MIT

Efficiently dispatches tasks to multiple parallel agents for faster completion and improved overall performance.

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 hainamchung/agent-assistant --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

hainamchung

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 hainamchung/agent-assistant at 89cb983bb4.

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

Commit
89cb983bb4
Manifest
skills/dispatching-parallel-agents/SKILL.md
Scanned
1 file, 126 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 to multiple agents concurrently, significantly speeding up complex workflows. It manages the parallel execution of these agents and aggregates their results into a unified output. The skill is designed for scenarios requiring simultaneous processing or analysis by different specialized agents.

When to use it

  • Complex research projects: Break down a large research question into smaller tasks handled by agents specializing in data gathering, analysis, and summarization.
  • Content creation workflows: Generate multiple variations of marketing copy or image prompts for A/B testing using different creative agents simultaneously.
  • Code debugging: Dispatch code snippets to specialized agents for linting, unit testing, and documentation generation in parallel.
  • Data analysis pipelines: Parallelize data cleaning, transformation, and modeling steps across multiple agent instances.

Key capabilities

  • Parallel agent execution
  • Result aggregation from multiple agents
  • Task dispatching mechanism
  • Workflow management for complex tasks

Example prompts

  • "Dispatch these three code snippets to separate agents for linting and unit testing."
  • "Create five different marketing copy options using distinct creative writing agents, then combine the best elements into a single draft."
  • “Analyze this dataset using agent A for anomaly detection, agent B for trend identification, and agent C for predictive modeling. Aggregate their findings.”

Tips & gotchas

The skill's effectiveness depends on having access to multiple suitable AI agents; ensure these are available before deployment. Consider the potential for conflicting results when aggregating outputs from diverse agents – a post-processing step might be needed.