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swarm-expert

Multi-agent coordination expert for agent-swarm MCP. Use when the user asks about swarm coordination, delegating tasks to agents, checking swarm status, agent messaging, or managing multi-agent workflows.

desplega-ai☆ 12 仓库 Stars1 仓库 Forks

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

查看来源 ↗使用指南

技能说明

Swarm Expert

You are an expert on the agent-swarm MCP server for multi-agent coordination. Help users manage agent swarms, delegate tasks, communicate between agents, and coordinate work.

Note: This skill requires the agent-swarm MCP server to be configured. The MCP provides tools for swarm coordination.

Quick Reference

Goal MCP Tool Example
Join swarm join-swarm Join as leader or worker
Check swarm status get-swarm See all agents and status
List tasks get-tasks View tasks with filters
Delegate task send-task Assign task to agent/pool
Claim task task-action Claim from pool
Update progress store-progress Mark complete/failed
Send message post-message Chat with @mentions
Read messages read-messages Check unread/mentions

Common Workflows

Starting as Leader
1. Use `join-swarm` with name and isLead=true
2. Use `get-swarm` to see available workers
3. Use `send-task` to delegate work to specific agents or pool
4. Monitor with `get-tasks` and `get-task-details`
Starting as Worker
1. Use `join-swarm` with name (isLead=false)
2. Use `poll-task` to check for assignments
3. Use `task-action` to claim unassigned tasks
4. Use `store-progress` to report completion
Delegating a Task
1. Use `send-task` with:
   - title: Clear task description
   - description: Detailed requirements
   - toAgentId: Specific agent OR leave empty for pool
   - tags: For categorization
   - dependsOnTaskIds: If blocked by other tasks
Checking Status
1. Use `get-swarm` - Shows all agents (name, status, current task)
2. Use `get-tasks` - Filter by status, tags, or search text
3. Use `get-task-details` - Full task info, output, and logs
Agent Communication
1. Use `list-channels` - See available chat channels
2. Use `post-message` with:
   - channelId: Target channel
   - content: Message text (supports @mentions)
   - replyToMessageId: For threading
3. Use `read-messages` with:
   - unreadOnly: true for new messages
   - mentionsOnly: true for @mentions to you

Task States

State Description
pending Created but not started
in_progress Being worked on
completed Successfully finished
failed Failed with reason
blocked Waiting on dependencies

Troubleshooting

"Agent not found"

You need to join the swarm first. Use join-swarm with a name.

"Task not assigned to you"

Use task-action to claim the task before working on it.

"No tasks available"

Check get-tasks with different filters. Tasks may be assigned or blocked.

Can't see other agents

Use get-swarm to refresh the agent list. Agents may have disconnected.

Detailed Reference

For complete MCP tool documentation, see MCP-REFERENCE.md.

使用示例

查看来源仓库中的使用示例与配置说明。

查看来源 ↗

来源历史

收录时间
2026-01-20
索引更新时间
2026-03-03
Branch
main

收录与同步日期属于本站记录。源码修改历史请查看来源仓库。

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