Antigravity

v1.0.0

Provides a comprehensive introduction and usage guide for Google Antigravity IDE, focusing on its Agent-First design, multi-model support, and Skills system.

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for duanc-chao/antigravity.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Antigravity" (duanc-chao/antigravity) from ClawHub.
Skill page: https://clawhub.ai/duanc-chao/antigravity
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install antigravity

ClawHub CLI

Package manager switcher

npx clawhub@latest install antigravity
Security Scan
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Purpose & Capability
The name/description claim a guide for Google Antigravity IDE and the SKILL.md is exactly that: explanatory content and usage guidance. The skill requests no binaries, env vars, installs, or other capabilities beyond documentation.
Instruction Scope
The runtime instructions are purely informational: describing Agent-First concepts, usage patterns, and where to place Skill files (e.g., .agent/skills/ or ~/.gemini/antigravity/skills/). It does not instruct the agent to read arbitrary user files or exfiltrate data, but it does recommend global config paths — be aware that placing third-party SKILL.md files into global directories grants those skills broad visibility to your agents.
Install Mechanism
No install spec or code is present. This is the lowest-risk category (instruction-only), nothing will be written to disk by the skill itself.
Credentials
No environment variables, credentials, or config paths are required by the skill beyond the explanatory suggestion of where to store skills. There is no disproportionate request for secrets or unrelated credentials.
Persistence & Privilege
always is false and the skill does not request any persistent or elevated platform privileges. It does recommend locations for global skills, which is a normal usage note rather than a privilege escalation.
Assessment
This skill is documentation-only and low-risk, but exercise normal caution: only clone or copy community Skill repositories from sources you trust; review any SKILL.md before placing it into project or global skill directories (~/.gemini/... or .agent/skills/) because skills stored globally can affect multiple projects/agents; never put secrets or credentials in SKILL.md files; if your agent platform supports sandboxing or a review workflow for skills, use those protections when installing third-party skills.

Like a lobster shell, security has layers — review code before you run it.

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432downloads
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Updated 1mo ago
v1.0.0
MIT-0

Antigravity 介绍与使用指南


name: antigravity-introduction

description: 提供关于 Google Antigravity IDE 的全面介绍、核心功能解析及最佳实践指南。当用户询问“什么是 Antigravity”、“如何使用 Antigravity”或需要了解其 Agent 优先理念时使用。 keywords: ["antigravity", "google ide", "ai coding", "agent-first", "gemini", "vibe coding"]

Antigravity 深度指南

目标 帮助用户理解并掌握 Google Antigravity 的核心概念,使其能够从传统 IDE 思维转变为 Agent-First(智能体优先)的开发模式。

核心概念解析

Antigravity 是 Google 于 2025 年末发布的 Agent-First IDE(智能体优先集成开发环境)。它不仅仅是代码编辑器,更是一个让 AI 代理(Agent)作为核心开发者的平台。

  • Agent-First 理念:不同于传统 IDE 将 AI 作为辅助插件,Antigravity 将 AI 置于工作流的中心。用户通过自然语言描述需求,由 Agent 负责规划、编写代码、调试和测试。
  • 多模型支持:原生支持 Google Gemini 3 Pro、Deep Think、Flash 以及 Anthropic 的 Claude Sonnet 4.5 和 Opus 4.5。
  • Mission Control:内置面板,允许用户同时管理和监控多个并行工作的智能体。
  • Skills 系统:允许用户通过简单的文件结构(SKILL.md)扩展 Agent 的能力,实现工作流的标准化和复用。

使用场景与最佳实践

  1. Vibe Coding(氛围编程)
  • 描述:用户专注于逻辑和创意,将具体的语法实现、样板代码交给 Agent。
  • 操作:在对话框中输入自然语言需求,例如“创建一个响应式的登录页面,使用 Tailwind CSS”。
  1. Skills 的应用
  • 项目专属技能:将团队规范、特定框架的最佳实践封装在 .agent/skills/ 目录下。
  • 全局技能:将通用的开发工具(如 Git 提交规范、代码审查流程)封装在 ~/.gemini/antigravity/skills/ 目录下。
  1. 异步反馈
  • 利用浏览器截图功能,直接在视觉层面上给 Agent 提供反馈,例如“把这个按钮的颜色调暗一点”。

常见问题解答

  • Q: Antigravity 和 VS Code 有什么区别?
  • A:Antigravity 基于 VS Code 分支,但深度集成了 Agent 能力,底层架构针对异步 AI 任务进行了优化(参考了 Windsurf 的技术)。
  • Q: 如何安装 Skills?
  • A:通常通过 Git Clone 官方或社区的 Skills 仓库到指定目录,或者手动创建包含 SKILL.md 的文件夹。

示例对话

用户:“帮我介绍一下 Antigravity 的 Skill 系统。” Agent:“Antigravity 的 Skill 系统是一套开放标准,允许你通过 Markdown 文件教 Agent 学习新技能。比如你可以创建一个 Skill 来规范 Git 提交信息。只需在项目中创建 .agent/skills/my-skill/SKILL.md,写入指令,Agent 就会自动识别并执行。”

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