Antigravity OS — AI skill for Claude Code
The Production Runtime, Dual-Memory Architecture & 182-Skill Playbook for Google Antigravity & Universal AI Coding Agents.
How to install Antigravity OS
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open ratulbd/antigravity-os and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Antigravity OS does
The Production Runtime, Dual-Memory Architecture & 182-Skill Playbook for Google Antigravity & Universal AI Coding Agents.
Alternatives in AI
- Unofficial Claude Code Prompt Playbook — Unofficial playbook for production-grade LLM system prompt architecture, derived from local analysis of Claude 258 ★
- Engrim — The Universal Cross-Model Episodic Memory Standard 219 ★
- Claude Antigravity Agents — A Claude Code skill that delegates coding, review, analysis, and research jobs to Google Antigravity CLI (agy) 137 ★
README
Antigravity-OS 🚀
**The Production Runtime, Dual-Memory Architecture & 193-Skill Playbook for Google Antigravity & Universal AI Coding Agents.** *Turn your AI coding assistant into a disciplined, autonomous software engineering team in under 2 minutes.*
⚡ The 2-Minute Quickstart
Install the complete runtime, all **193 skills**, global MCP servers, and the 4-Pillar Synergy rules with a single command:
🪟 Windows (PowerShell)
irm https://raw.githubusercontent.com/ratulbd/antigravity-os/main/scripts/install.ps1 | iex
*(Or clone this repo and run `./scripts/install.ps1` in PowerShell as Administrator or regular user)*
🍎 macOS (Terminal)
curl -fsSL https://raw.githubusercontent.com/ratulbd/antigravity-os/main/scripts/install.sh | bash
🐧 Linux (Bash)
curl -fsSL https://raw.githubusercontent.com/ratulbd/antigravity-os/main/scripts/install.sh | bash
📊 Graphical Architecture
flowchart TD
subgraph P1["Pillar 1: Prescriptive Specs"]
Specs["/docs/01_PRD.md → 06_Plan.md
WHAT & WHY: Design tokens, CSS contracts, API schemas"]
end
subgraph P2["Pillar 2: Structural AST Graph"]
AST["codebase-me
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Memory Recall
Use this agent PROACTIVELY before starting complex, multi-step implementations or when encountering unfamiliar
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