solo-code-harness

Deploy a cross-platform multi-agent AI harness for Copilot, Claude, Gemini, and Kilo.

3|Updated Apr 1, 2026
One-click install
npx skills add https://github.com/vtgiang-dotcom/Solo-Code-Harness --skill solo-code-harness
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: solo-code-harness
Source: https://github.com/vtgiang-dotcom/Solo-Code-Harness/tree/main/.gemini/antigravity/skills/solo-code-harness
Command: npx skills add https://github.com/vtgiang-dotcom/Solo-Code-Harness --skill solo-code-harness

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a framework to deploy, configure, and maintain a cross-platform AI harness that coordinates multiple agents and keeps governance consistent across Copilot, Claude, Gemini, and Kilo.

Core Features & Use Cases

  • Standardized deployment across four AI platforms.
  • Centralized governance, safety rules, and agent templates.
  • Quick-start bootstrap for new projects and teams.

Quick Start

Initialize the multi-agent Solo-Code Harness in your project by deploying the root configuration and configuring each platform (Copilot, Claude, Gemini, and Kilo).

Frequently Asked Questions about solo-code-harness

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

FAQPage Schema
How do I standardize AI agent governance across Copilot, Claude, Gemini, and Kilo?

To standardize multi-agent governance, you deploy a cross-platform AI harness that centralizes safety rules, agent templates, and memory across Copilot, Claude, Gemini, and Kilo. This ensures consistent coding workflows and standardized deployment across all four platforms.

What is a cross-platform multi-agent AI harness and when do I need one?

A cross-platform multi-agent AI harness is a framework that coordinates multiple AI agents and maintains consistent governance across different platforms. You need it when a project requires unified setup, agent orchestration, and standardized memory directories across Copilot, Claude, Gemini, and Kilo.

How do I bootstrap a new project for multi-agent AI orchestration?

To bootstrap a new project for multi-agent AI orchestration, you initialize the harness by deploying the root configuration and specifying platform directories, agent templates, memory, and automation scripts. This quick-start setup configures each platform for immediate operation.

Can I use this AI harness to manage agent templates and memory across different coding platforms?

Yes, you can use this AI harness to manage agent templates and memory across different coding platforms. It deploys a repository structure that specifies platform directories and automation scripts for loading and operating across Copilot, Claude, Gemini, and Kilo.

Does deploying a multi-agent harness require external dependencies?

Deploying this multi-agent harness requires no external dependencies. It operates as a standalone framework that generates the necessary repository structure, including platform directories, agent templates, memory, and automation scripts for cross-platform operation.

What's the best way to maintain consistent configuration for multiple AI agents?

The best way to maintain consistent configuration for multiple AI agents is deploying a centralized harness. It establishes a repository structure that standardizes governance, safety rules, and agent templates, ensuring uniform setup and operation across Copilot, Claude, Gemini, and Kilo.