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Multi Agent Orchestration

Checked
qodex-ai·vlatest·agents

Qodex-AI's multi-agent orchestration intelligently coordinates specialized agents to achieve complex tasks efficiently.

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 qodex-ai/ai-agent-skills --skill multi-agent-orchestration -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

qodex-ai

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 qodex-ai/ai-agent-skills at 6ea9f00885.

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

Commit
6ea9f00885
Manifest
skills/multi-agent-orchestration/SKILL.md
Scanned
7 files, 2,464 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 multi-agent-orchestration skill enables the coordination and management of multiple AI agents to work together on complex tasks. It allows for structured communication, task delegation, and synchronization between agents, ensuring efficient collaboration and execution of workflows.

When to use it

  • Managing a team of AI agents working on different parts of a large project.
  • Automating multi-step processes that require input from specialized agents.
  • Enhancing system performance by distributing tasks across multiple agents.
  • Building scalable AI systems where coordination between agents is essential for success.

Key capabilities

  • Task delegation and assignment among agents
  • Real-time communication and synchronization
  • Workflow orchestration and execution tracking
  • Scalable agent management

Example prompts

  • "Coordinate three agents to research, summarize, and present a report on climate change."
  • "Assign tasks to different AI agents for data collection, analysis, and visualization."
  • "Orchestrate multiple agents to handle customer support queries in parallel."

Tips & gotchas

  • Ensure all agents are compatible and share a common communication protocol.
  • Monitor performance closely when scaling up the number of agents to avoid bottlenecks or conflicts.