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Dispatching Parallel Agents

Checked
obra·vlatest·agents·MIT

Efficiently distributes tasks across multiple agents simultaneously to accelerate complex workflows and achieve faster results.

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 obra/superpowers --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

obra

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 obra/superpowers at 8ca22dba9a.

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

Scanned
1 file, 160 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 enables AI agents to coordinate and execute multiple tasks simultaneously, improving efficiency in complex workflows. It allows for dynamic task allocation based on agent availability and workload, ensuring optimal resource utilization.

When to use it

  • When handling large-scale data processing that benefits from parallel execution
  • During real-time analytics where speed is critical
  • For multi-step operations requiring concurrent sub-task completion

Key capabilities

  • Parallel task scheduling
  • Dynamic load balancing across agents
  • Real-time coordination between multiple AI agents

Example prompts

  • "Process these 100 data entries in parallel using available agents."
  • "Run sentiment analysis and entity recognition on this text simultaneously."
  • "Distribute the image classification workload across all active agents."

Tips & gotchas

Ensure your system has sufficient resources to handle concurrent agent operations. Monitor performance regularly to avoid overloading the network or individual agents.