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gastown

Orchestrate multiple AI agents for software development task execution.

Updated Feb 13, 2026
Search Tags:#project management#developer tools#workflow automation#code generation#ai agents#orchestration
One-click install
npx skills add https://github.com/lev-os/lev-content --skill gastown-lev-os
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gastown
Source: https://github.com/lev-os/lev-content/tree/main/sources/skills/gastown
Command: npx skills add https://github.com/lev-os/lev-content --skill gastown-lev-os

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex coordination and execution of multiple AI agents, managing their workflows, task assignments, and operational lifecycle to streamline project completion.

Core Features & Use Cases

  • Multi-Agent Orchestration: Manages the spawning, tasking, and monitoring of various AI agents (Polecats, Crew) for parallel or sequential processing.
  • Work Management: Tracks tasks as 'beads', assigns them to agents via 'slinging', and monitors their progress.
  • Use Case: Coordinate a team of AI agents to refactor a large codebase, with one agent identifying issues, another fixing them, and a third performing quality assurance, all managed seamlessly by Gas Town.

Quick Start

Use the gastown skill to set up a new project workspace and add your first GitHub repository as a rig.

Frequently Asked Questions about gastown

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

FAQPage Schema
How do I orchestrate multiple AI agents for a complex software development project?▼

You can coordinate AI agents by tracking tasks as 'beads', assigning them to agents via 'slinging', and monitoring their progress to ensure deterministic task execution across complex projects.

What is multi-agent orchestration for code generation workflows?▼

Multi-agent orchestration automates the coordination and execution of various AI agents, managing their workflows, task assignments, and operational lifecycle to streamline project completion. It handles agent spawning, tasking, and monitoring for parallel or sequential processing.

Can I automate crash recovery and workspace setup for AI agent workflow automation?▼

Yes, workflow automation includes installation, workspace setup, work tracking, agent coordination, and crash recovery. These CLI operations ensure deterministic task execution and seamless recovery for coordinated AI agents.

Does this multi-agent orchestrator support GitHub repositories for project management?▼

Yes, project management setup allows you to initialize a new project workspace and add your first GitHub repository as a rig, enabling coordinated AI agents to process your codebase.

What is the best way to coordinate parallel AI agents for codebase refactoring?▼

The best way to coordinate parallel AI agents for refactoring is using a multi-agent orchestrator that assigns distinct roles—like issue identification, fixing, and quality assurance—managed seamlessly to streamline project completion.

Are there limitations when using workflow automation for agent lifecycle management?▼

Workflow automation manages agent lifecycles and crash recovery deterministically, but complex software project orchestration requires proper workspace setup and task tracking via CLI operations to avoid coordination failures.

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