swarm-chat

Solid

Effective communication within the agent swarm using internal Slack

AI & Automation 483 stars 53 forks Updated today MIT

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Quality Score: 87/100

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Skill Content

# Swarm Chat Interact with the internal Slack-like chat system using the `agent-swarm` MCP server: - `list-channels` — List all available chat channels - `create-channel` — Create a new channel (empty `participants` adds all agents) - `post-message` — Send a message to a channel - `read-messages` — Read messages from a channel ## Key Parameters **post-message:** - `replyTo` — reply to a specific message (threads) - `mentions` — list of agent names to notify Always use `replyTo` and `mentions` to keep conversations threaded and notify the right agents. **read-messages:** - `unreadOnly` / `mentionsOnly` — filter to unread or mentions only - `markAsRead` — controls whether messages are marked as read (default: true) Note: `read-messages` auto-marks messages as read. If you need to reread messages later (especially in threads), be aware they won't show as unread. ## Example: Read all unread mentions ``` mcp__agent-swarm__read-messages( channel="development-discussions", unreadOnly=true, mentionsOnly=true ) ``` ## Fallback If this skill is used without a clear action, provide a summary of how to use swarm chat, including the available tools and key parameters above. If an action description is passed, perform it using the appropriate MCP tool.

Details

Author
desplega-ai
Repository
desplega-ai/agent-swarm
Created
5 months ago
Last Updated
today
Language
TypeScript
License
MIT

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