Found 13 repositories(showing 13)
pkeffect
Antigravity Architect is the definitive Agent-First project engine. It is a modular, zero-dependency Python package that generates Living Repositories—complete development environments designed from the ground up to be self-describing, self-protecting, and self-evolving for AI coding agents like Gemini, Claude, and GPT-4.
xiaoche0907
Amazon A9 视觉营销 AI 架构师 - 基于 ModelScope 与 Nanobanana 的双引擎工作流
A Federated Multi-Agent System (MAS) architecture for Google Antigravity. Orchestrates specialized AI Skills (Backend, DevOps, Frontend) using the Google ADK and A2A Protocol.
iammuhammadasimofficial
Complete toolkit for senior architects - Antigravity/Claude/Gemini skill
joelaugx
his skill helps to create new custom MCPs from scratch and fixes errors in already created MCPs.
shinsuke016
Antigravityを利用して資格学習アプリ(PoC版)を開発するためのリポジトリ。
TsutsuiShinsuke
Antigravityを利用して資格学習アプリ(PoC版)を開発するためのリポジトリ。
muslimadille
No description available
Neozs
A comprehensive, AI-architected study platform for PTE Academic. Built with Vibecoding (NotebookLM + Antigravity) to master exam structure, strategies, and practice.
sufiaTech
♻️ Smart Recycle Vision: AI-powered recycling tool architected with Google Antigravity. Features real-time object detection (OpenCV), automated data logging (SQLite), and a modern Python GUI
fengye2023work-tech
A noval multi-agentic system architected with the core philosophy of Compounding Engineering. The agentic system is designed for user-centric job hunting, developed in Antigravity. All private data are kept local.
Abubokkor98
A bespoke personal portfolio designed with a sleek Modern Tech-Minimalist aesthetic to chronicle memories and academic milestones. Architected entirely by challenging the limits of AI and built by commanding Google's Antigravity agent
JK-1117
A system architect skill for Claude Code and Antigravity. Blueprint safely maps existing codebases using a strict 90% confidence constraint to generate highly detailed, self-contained implementation specs. It ensures all necessary context, paths, and types are gathered for seamless, zero-waste agent handoffs.
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