multi-agent-chatPrevent common failures in multi-agent Discord conversations. Use when multiple AI agents (bots) are chatting in the same channel — townhalls, group discussi...
Install via ClawdBot CLI:
clawdbot install mupengi-bot/multi-agent-chatGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
AI agents facilitate structured discussions in community Discord servers, managing agendas and preventing conversational chaos. This ensures efficient multi-agent collaboration during events like Q&A sessions or announcements.
Multiple AI bots assist teams in brainstorming sessions on Discord, adhering to turn-based rules to avoid overlapping ideas and token waste. This streamlines creative processes in remote work environments.
AI tutors operate together in Discord study groups, answering student questions sequentially to prevent confusion and context overflow. This enhances learning efficiency in online education platforms.
Bots handle customer inquiries in shared Discord support channels, following protocols to avoid duplicate responses and rate limit issues. This improves response accuracy and reduces operational costs.
Offer a subscription service providing configurable multi-agent protocols and monitoring tools for Discord server owners. Revenue comes from monthly fees based on server size and bot count.
Provide consulting to businesses implementing multi-agent systems on Discord, including setup, optimization, and incident response. Revenue is generated through project-based fees and retainer contracts.
Sell a platform that manages separate API keys per bot to avoid rate limits and optimize token usage, with analytics for cost tracking. Revenue comes from usage-based pricing and premium features.
💬 Integration Tip
Ensure each bot has a unique API key and disable reaction notifications in config.yml to prevent token waste and rate limit collisions.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.