Skip to content
TrustedSkillsbeta
Back to all skills

Swarm Planner

Checked
am-will·vlatest·agents

The Swarm Planner efficiently organizes tasks into a coordinated swarm of agent actions, streamlining complex workflows and boosting productivity.

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 am-will/codex-skills --skill swarm-planner -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.

Commit
9f954c3b63
Manifest
skills/swarm-planner/SKILL.md
Scanned
1 file, 172 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 swarm-planner skill enables AI agents to coordinate and manage multiple autonomous entities, or "swarms," working together toward a common goal. It supports dynamic task allocation, real-time decision-making, and efficient resource management across distributed systems.

When to use it

  • Managing fleets of drones for delivery or surveillance tasks.
  • Coordinating multiple robots in manufacturing or warehouse environments.
  • Optimizing traffic flow using autonomous vehicles in smart cities.
  • Handling complex logistics operations with decentralized teams.

Key capabilities

  • Dynamic task assignment based on real-time conditions.
  • Scalable coordination across large numbers of agents.
  • Conflict resolution and path optimization for swarm members.
  • Integration with external APIs for environmental sensing or control systems.

Example prompts

  • "Coordinate a swarm of 20 drones to deliver packages in a city while avoiding obstacles."
  • "Optimize the movement of autonomous vehicles in a traffic grid to reduce congestion."
  • "Assign tasks to multiple robots on an assembly line based on current workload and priorities."

Tips & gotchas

  • Ensure all swarm members have consistent communication protocols for effective coordination.
  • Performance may degrade with extremely large swarms due to increased computational overhead.