runner

Orchestrate multi-agent collaboration via a shared SQLite event queue.

43|4|Updated Feb 7, 2026
One-click install
npx skills add https://github.com/gordonbrander/busytown --skill runner
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: runner
Source: https://github.com/gordonbrander/busytown/tree/main/.claude/skills/runner
Command: npx skills add https://github.com/gordonbrander/busytown --skill runner

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables the creation and management of multi-agent systems where individual AI agents communicate and coordinate their actions through a centralized event queue, automating complex workflows.

Core Features & Use Cases

  • Agent Orchestration: Manages the lifecycle and communication of multiple AI agents.
  • Event-Driven Architecture: Agents react to events, enabling asynchronous and decoupled operations.
  • Use Case: Automate a software development workflow where one agent plans features, another writes code, and a third reviews it, all coordinated by events pushed to the queue.

Quick Start

Start the agent runner as a background daemon.

Frequently Asked Questions about runner

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

FAQPage Schema
How do I orchestrate multi-agent workflows using an event queue?

You orchestrate multi-agent workflows using a shared SQLite event queue for asynchronous communication and task dispatch. Agents listen for specific events, claim them, and execute tasks, enabling decoupled and coordinated operations.

Can I define and execute AI agents using markdown with Deno?

Yes, you can define AI agents using markdown and execute them with Deno. The runner integrates with Deno and Claude Code to process agent definitions and manage their lifecycle through the event queue.

What is event claiming in multi-agent coordination?

Event claiming is a coordination mechanism where multiple agents listen to a shared event queue. When an event occurs, an agent claims it to prevent duplicate processing, ensuring asynchronous tasks are dispatched without conflict.

How to automate a software development workflow with multiple AI agents?

Automate software workflows by dispatching tasks to specialized AI agents through a centralized event queue. For example, one agent plans features, another writes code, and a third reviews it, all coordinated via asynchronous events.

Does this event-driven agent orchestration require external dependencies?

No external dependencies are required. The multi-agent orchestration relies on a shared SQLite event queue built into the system, along with Deno and Claude Code integration for agent execution.

When should I use an event queue for multi-agent orchestration?

Use an event queue for multi-agent orchestration when you need asynchronous, decoupled operations. This architecture is ideal when multiple agents must react to specific events and coordinate complex workflows without blocking each other.