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Super Swarm Spark

Checked
am-will·vlatest·agents

Super Swarm Spark rapidly generates multiple creative ideas and variations based on a prompt, boosting brainstorming efficiency & innovation.

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 super-swarm-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.

Scanned
1 file, 213 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 super-swarm-spark skill enables AI agents to coordinate and execute complex tasks through distributed swarm intelligence. It allows agents to dynamically allocate workloads, share insights in real time, and optimize performance across multiple nodes or systems.

When to use it

  • To manage large-scale data processing tasks that require parallel execution.
  • For collaborative problem-solving scenarios where multiple AI agents need to interact seamlessly.
  • In environments requiring adaptive resource allocation based on workload changes.

Key capabilities

  • Real-time coordination between multiple AI agents
  • Dynamic task distribution and load balancing
  • Seamless sharing of insights and data across swarm members

Example prompts

  • "Coordinate a swarm of agents to analyze this dataset and identify patterns."
  • "Distribute the processing of this query across available nodes for faster results."
  • "Optimize resource allocation in real time as new tasks arrive."

Tips & gotchas

  • Ensure all participating agents are compatible with super-swarm-spark for seamless integration.
  • Monitor swarm performance to avoid overloading individual nodes or causing bottlenecks.