multi-agent-chat

Route messages to designated owners and suppress duplicate responses in group channels.

Updated Mar 19, 2026
One-click install
npx skills add https://github.com/edhahn/agent-skills --skill multi-agent-chat
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: multi-agent-chat
Source: https://github.com/edhahn/agent-skills/tree/main/multi-agent-chat
Command: npx skills add https://github.com/edhahn/agent-skills --skill multi-agent-chat

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Rules for AI agents sharing a group channel with humans to prevent infinite loops, reduce noise, and eliminate redundant responses.

Core Features & Use Cases

  • Establishes topic ownership to ensure a single primary responder per topic.
  • Enforces concise, information-dense interactions and silent status when appropriate.
  • Provides anti-loop and channel hygiene guidelines to minimize token waste across agent conversations.

Quick Start

Provide concise, non-redundant responses by routing messages to a designated owner and remaining silent when another agent has already provided a complete answer.

Frequently Asked Questions about multi-agent-chat

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prevent AI agents from looping and duplicating responses in a shared chat channel?

You can stop infinite loops in multi-agent chats by enforcing explicit routing rules, assigning per-topic ownership to a single primary responder, and implementing anti-loop guardrails that suppress redundant messages when another agent has already answered.

What is topic ownership for coordinating AI agents in group channels?

Topic ownership is a multi-agent coordination mechanism that designates a single primary responder per conversation topic. It routes messages to the correct agent and requires others to remain silent, eliminating redundant responses and cutting token waste.

How do I set up routing rules for multiple AI agents in Slack, Discord, or Teams?

To set up multi-agent routing rules across Discord, Slack, or Teams, define explicit per-topic ownership and configure anti-loop guardrails. This ensures messages route to the designated owner while suppressing duplicate responses from other agents.

Does multi-agent chat coordination work across Discord, Slack, and Teams environments?

Multi-agent chat coordination applies to Discord, Slack, and Teams-style environments. It enforces consistent routing rules, per-topic ownership, and anti-loop guardrails to manage human-agent interactions and maintain channel hygiene across platforms.

How can I reduce token waste when multiple AI agents share a channel with humans?

Reduce token waste in multi-agent channels by enforcing concise, information-dense interactions, routing messages to designated topic owners, and requiring agents to remain silent when another agent has already provided a complete answer.

What are the limitations of using routing rules for multi-agent chat coordination?

Multi-agent chat coordination requires predefined explicit routing rules and per-topic ownership to function. Without these anti-loop guardrails and channel hygiene guidelines documented upfront, agents may still produce redundant responses and consume excess tokens.