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Swarm Planner

Checked
chipagosfinest·vlatest·agents

The Swarm Planner efficiently organizes tasks into a coordinated swarm of actions, streamlining 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 chipagosfinest/claude-multi-agent-systems --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

chipagosfinest

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 chipagosfinest/claude-multi-agent-systems at 63cdb41578.

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

Commit
63cdb41578
Manifest
multi-agent-systems/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 the orchestration of multiple AI agents within a Claude multi-agent system. It allows for defining agent roles, assigning tasks to specific agents based on their capabilities, and managing communication flow between them. This facilitates complex problem-solving by leveraging the strengths of different specialized agents working in concert.

When to use it

  • Complex Project Management: Break down a large project into smaller tasks suitable for individual AI agents with distinct expertise (e.g., research, writing, design).
  • Creative Content Generation: Assign roles like "brainstormer," "editor," and "illustrator" to different agents to collaboratively create content.
  • Data Analysis & Reporting: Delegate data gathering, cleaning, analysis, and report generation to specialized agents within a workflow.
  • Simulating Team Dynamics: Model and experiment with different agent roles and communication strategies to optimize team performance.

Key capabilities

  • Agent Role Definition: Define specific roles for each AI agent involved in the swarm.
  • Task Assignment: Assign tasks to agents based on their defined roles and capabilities.
  • Communication Management: Control and structure the flow of information between agents.

Example prompts

  • "Create a swarm plan for writing a blog post, assigning roles for research, outlining, drafting, and editing."
  • "Develop a multi-agent workflow to analyze customer reviews, with one agent summarizing sentiment and another identifying key themes."
  • "Plan a project where an agent researches competitors, another analyzes their strategies, and a third generates recommendations."

Tips & gotchas

The swarm-planner skill requires a Claude multi-agent system environment for proper functionality. Ensure that the agents you are assigning roles to have clearly defined capabilities to maximize efficiency and avoid task conflicts.