Multi-Agent group chat collaboration system inspired by DingTalk/Lark. Enables AI agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. Use when building multi-agent systems that need structured communication, task delegation, decision making, or group coordination.
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install agent-networkOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install agent-networkβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/agent-network/π‘Extract and place the folder at the path above, then restart your agent.
Category
π¬CommunicationWhat Agent Network can do for your AI workflow
Multi-agent group chat directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
Trusted by 1,543+ developers worldwide
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Agent Network
Send a Slack message to the #engineering channel about the deployment
Formats and sends the message with relevant context, tagging the right people
Summarize all unread messages in my inbox from today
Reads messages across connected channels and returns a prioritized summary
Draft a reply to this customer complaint and send it for review
Writes an empathetic, professional response and routes it to the approval queue
Guides & tutorials for AI skills
Staying on top of communications across multiple channels is a real challenge for modern teams. Agent Network helps by enabling multi-agent group chat collaboration system inspired by dingtalk/lark. enables ai agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. use when building multi-agent systems that need structured communication, task delegation, decision making, or group coordination directly from your AI assistant, without switching apps or logging into separate platforms.
Agent Network works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Agent Network once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
Getting started with Agent Network takes about two minutes. Place the skill at `~/.claude/skills/agent-network/` (personal, all projects) or `.claude/skills/agent-network/` (project-specific), then restart your AI client. From that point, typing `/agent-network` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
Agent Network has been installed 1,543 times, making it one of the more actively used skills in the Communication category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/agent-network/ for personal use (all projects), or .claude/skills/agent-network/ for project-specific use. Restart your AI client, then invoke with /agent-network or let the AI discover it automatically.
Agent Network supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Agent Network is free to install. Check the repository for licensing information.
Multi-Agent group chat collaboration system inspired by DingTalk/Lark. Enables AI agents to chat in groups, @mention each other, assign tasks, make decisions via voting, and collaborate. Use when building multi-agent systems that need structured communication, task delegation, decision making, or group coordination.
Platforms
Links
MCP vs traditional plugins: what's the difference?
Agent Network is categorized under Communication. These skills help AI agents perform specialized tasks in this domain.