Gastown

Orchestrate multiple AI agents and automate software development workflows via CLI.

Updated Jan 26, 2026
One-click install
npx skills add https://github.com/tiandiyiqi/ai-skills --skill gastown-tiandiyiqi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Gastown
Source: https://github.com/tiandiyiqi/ai-skills/tree/main/%E5%B7%A5%E4%BD%9C%E6%B5%81%E4%B8%8E%E4%BB%A3%E7%90%86/Gastown
Command: npx skills add https://github.com/tiandiyiqi/ai-skills --skill gastown-tiandiyiqi

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the complex orchestration and management of multiple AI agents, streamlining workflows, task execution, and inter-agent communication for software development and project management.

Core Features & Use Cases

  • Multi-Agent Orchestration: Coordinate multiple AI agents (Polecats, Crew, Witness, Refinery, Mayor) for complex tasks.
  • Workflow Automation: Automates task assignment, execution, monitoring, and merging via a robust command-line interface (gt and bd).
  • Use Case: Manage the entire lifecycle of a software feature, from initial task creation and assignment to an AI worker, through testing and final merge to the main branch, all orchestrated by Gas Town.

Quick Start

Use the gastown skill to install the necessary tools and set up your first project 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 complex software development workflows?

To orchestrate multiple AI agents, you need a framework that manages agent lifecycles, task dispatching, and inter-agent communication. This Skill coordinates AI agents through a command-line interface to automate task execution and code integration.

What is multi-agent orchestration for software engineering tasks?

Multi-agent orchestration is the coordination of multiple AI agents to manage complex software development workflows. It involves task assignment, progress monitoring, and merging code changes, allowing AI workers to handle the entire lifecycle of a software feature.

Do I need Go and Git to automate task assignment and monitoring with AI agents?

Yes, you need both Go and Git installed in your environment. They are required dependencies for installing and operating the command-line tools that dispatch tasks to AI agents and monitor their progress.

Can I manage the full software feature lifecycle from task creation to final merge using command line tools?

Yes, you can manage the full lifecycle via a CLI. The framework automates everything from initial task creation and assignment to an AI worker, through testing, to the final merge to the main branch.

How does inter-agent communication work when automating complex project management tasks?

Inter-agent communication is handled by a framework that manages the lifecycles of various AI agents. It coordinates their interactions, dispatches tasks, and integrates the resulting code through command-line commands.