Antigravity IDE Integration for Openclaw

A revolutionary agent-first development environment by Google designed to place AI agents at the center of the software creation lifecycle.

duanc-chao
v1.0.0
Mar 20, 2026
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Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install antigravity

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install antigravity using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Antigravity IDE Integration?

Antigravity represents a paradigm shift in software development, moving away from traditional IDEs where AI is a plugin to an environment where the agent is the primary developer. Developed by Google, it integrates seamlessly with Openclaw Skills to provide a standardized way of teaching AI agents new workflows, coding standards, and complex task sequences.

Built on a fork of VS Code but optimized for asynchronous AI tasks, Antigravity leverages the latest multi-model capabilities, including Gemini 3 Pro and Claude 4.5. This allows developers to move beyond manual code entry into a collaborative state where the agent handles planning, implementation, and debugging while the human provides high-level logic and creative direction.

Antigravity IDE Integration Use Cases

  • Transitioning from manual coding to vibe coding by describing requirements in natural language.
  • Enforcing team-specific coding standards and framework best practices using Openclaw Skills.
  • Managing multiple parallel AI agents for complex, multi-threaded development tasks through Mission Control.
  • Providing visual feedback to agents via browser screenshots for rapid UI/UX adjustments.

How Antigravity IDE Integration Works

  1. The user defines a development task or requirement using natural language within the Antigravity interface.
  2. The Agent-First core analyzes the request and references relevant Openclaw Skills stored in the local or global skills directory.
  3. Mission Control orchestrates the necessary agents, selecting the optimal model (e.g., Gemini or Claude) for the specific sub-task.
  4. The agent writes, debugs, and tests code asynchronously, providing real-time updates to the developer.
  5. The developer reviews the output and provides iterative feedback, including visual cues, until the mission is complete.

Antigravity IDE Integration Setup

To leverage Openclaw Skills within Antigravity, you can install them at either the project or global level.

For project-specific skills, create the following directory structure:

mkdir -p .agent/skills/my-custom-skill/
touch .agent/skills/my-custom-skill/SKILL.md

For global skills accessible across all projects, use the Gemini home directory:

mkdir -p ~/.gemini/antigravity/skills/git-standard/
# Clone a community skill repository
git clone https://github.com/openclaw/skills-registry.git ~/.gemini/antigravity/skills/community

Antigravity IDE Integration Data Schema & Taxonomy

The skill system relies on a structured Markdown approach to define agent capabilities and constraints.

Location Scope Purpose
.agent/skills/ Project Local repository standards, framework-specific logic, and project hooks.
~/.gemini/antigravity/skills/ Global Universal Openclaw Skills such as Git commit conventions and global code review rules.

Each skill directory must contain a SKILL.md file with metadata including name, description, and target keywords to be indexed by the Antigravity agent.

Antigravity IDE Integration Advanced Features

  • Mission Control dashboard for real-time monitoring of parallel agent operations and resource allocation.
  • Native multi-model support allowing agents to switch between Google Gemini 3 Pro, Deep Think, and Anthropic Claude 4.5.
  • Visual feedback loops that allow agents to 'see' the application state via browser screenshots.
  • Extensible Openclaw Skills architecture for creating custom automation hooks and standardized cross-agent communication protocols.

SKILL.md


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