The Complete Guide to Google Antigravity Agent

Master Google Antigravity Agents with this complete guide covering core philosophy, Skills, directory setup, role specifications, task orchestration, and strict mode.

A friend asked me today about how to use Antigravity agents, so here’s a streamlined guide.

1. Welcome to the “Agent Era”: Antigravity Core Philosophy

In 2026, software engineering paradigms underwent a fundamental reversal. This year is defined as “The Year of Skills”. With Google’s release of Antigravity, AI is no longer merely a code completion plugin but has evolved into the core orchestrator of the IDE.

As a developer, you’re experiencing a transformation from “Coder” to “AI Commander”. Within Antigravity’s architecture, we advocate for a governance philosophy of “System Prompts as Code”. Your role is no longer wrestling with every line of syntax, but rather designing high-precision Skills, defining architectural boundaries and governance frameworks, and orchestrating expert Agents from different domains to work collaboratively. This represents not just an efficiency boost, but system-level governance of software quality.

2. Deep Dive: What Are Agents and Skills?

Understanding these two concepts is foundational to building automation pipelines in the Antigravity ecosystem:

Agent (Intelligent Entity):

An AI entity that executes tasks in specific vertical domains. These aren’t general-purpose chatbots, but rather “digital employees” granted specific permissions, toolsets, and knowledge domains.

Skills:

Markdown files stored in .agent/skills/. They serve as the Agent’s governance guidelines, containing instructions, constraints, workflows, and examples.

For Skills writing, you can also reference Google’s official project:

https://github.com/google-gemini/gemini-skills