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antigravity

Coordinates tasks, artifacts, and agents within the Antigravity IDE.

Updated Mar 26, 2026
Search Tags:#task management#browser automation#ai coding#mcp integration#multi-agent coordination
One-click install
npx skills add https://github.com/locdinh209/curation-skills --skill antigravity-locdinh209
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: antigravity
Source: https://github.com/locdinh209/curation-skills/tree/main/antigravity
Command: npx skills add https://github.com/locdinh209/curation-skills --skill antigravity-locdinh209

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, antigravity, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill solves the problem of managing complex coding workflows, providing a structured approach to AI-powered development with Antigravity IDE.

Core Features & Use Cases

  • Task Management: Define, track, and manage tasks across different modes (PLANNING, EXECUTION, VERIFICATION).
  • Artifact Creation: Generate structured documents for planning, execution, and verification.
  • Multi-Agent Coordination: Coordinate multiple agents for parallel work and complex projects.
  • MCP Integration: Integrate external tools and servers for extended functionality.
  • Browser Subagent: Automate browser tasks for testing and screenshots.
  • Use Case: A software development team uses this Skill to manage a large feature implementation, including planning, coding, testing, and documentation.

Quick Start

Use the antigravity skill to plan a new feature, execute the implementation, and verify the results.

Frequently Asked Questions about antigravity

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

FAQPage Schema
How do I manage complex AI coding workflows with multi-agent coordination?▼

Multi-agent coordination for AI coding workflows is managed by structuring tasks across PLANNING, EXECUTION, and VERIFICATION modes. This approach enables parallel work and handles complex project implementations within the Antigravity IDE.

What is the best way to integrate external tools with an AI coding IDE?▼

Integrating external tools with an AI coding IDE is best handled through Model Context Protocol (MCP) integration. MCP servers connect external tools to the workspace, extending functionality for automated browser tasks and testing.

How do I automate browser tasks for testing within an AI coding workflow?▼

Browser tasks for testing are automated using a dedicated browser subagent. This subagent operates within the AI coding workflow to execute browser interactions, capture screenshots, and verify web application results.

Do I need Python to manage AI-powered coding tasks in Antigravity IDE?▼

Yes, Python is required to execute code and manage AI-powered coding tasks in Antigravity IDE. The environment relies on Python alongside the Antigravity platform to run scripts and process task verification.

How do I generate structured artifacts for planning and verifying code implementations?▼

Structured artifacts for code implementations are generated by defining and tracking tasks through specific workflow modes. This creates structured documents for planning, execution, and verification phases of the development cycle.

Can I use browser automation to capture screenshots during AI code verification?▼

Yes, browser automation can capture screenshots during AI code verification. A dedicated browser subagent executes these automated browser tasks to test applications and document visual results within the workflow.

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