swarm

Orchestrate multi-agent swarms with real-time progress monitoring and status polling.

23|4|Updated Sep 5, 2013
One-click install
npx skills add https://github.com/drn/dots --skill swarm-drn
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: swarm
Source: https://github.com/drn/dots/tree/main/agents/skills/swarm
Command: npx skills add https://github.com/drn/dots --skill swarm-drn

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the issue of AI agent teams appearing idle in Conductor after initial task assignment, requiring manual re-prompting to check progress. It ensures continuous monitoring and real-time status updates.

Core Features & Use Cases

  • Real-time Progress Monitoring: Automatically polls task status and reports progress, keeping the lead thread active.
  • Native Agent Teams: Utilizes TeamCreate and SendMessage for full inter-agent communication.
  • Parallel Task Execution: Manages development, research, debugging, and review tasks in parallel.
  • Use Case: Delegate a complex development task to a swarm of agents (implementer, tester, reviewer) and receive continuous updates on their progress without manual intervention.

Quick Start

Use the swarm skill to coordinate a team of agents to implement a new feature based on the provided requirements.

Frequently Asked Questions about swarm

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

FAQPage Schema
How do I monitor multi-agent task execution progress in real-time?

To monitor multi-agent task execution in real-time, the swarm skill automatically polls task status and reports progress, keeping the lead thread active and providing synthesized updates without manual intervention.

Why do my AI agent teams appear idle after task assignment and require manual re-prompting?

AI agent teams appear idle because initial task assignment lacks continuous monitoring; the swarm skill solves this by automatically polling task status and reporting progress to keep the lead thread active.

How do I orchestrate parallel agent swarms for development and debugging tasks?

To orchestrate parallel agent swarms for development and debugging, the skill manages task creation, agent spawning, and inter-agent communication, delegating complex tasks to a team of implementer, tester, and reviewer agents.

Can I use native agent teams with inter-agent communication for complex task coordination?

Yes, you can use native agent teams with full inter-agent communication; the skill utilizes TeamCreate and SendMessage to coordinate agent swarms and handle automated status polling.

What is the best way to delegate a complex feature implementation to a team of AI agents?

The best way to delegate a complex feature implementation is to use the swarm skill to coordinate a team of agents, managing parallel execution for implementation, testing, and review while receiving continuous progress updates.