keli-wen/agy-staff
163 stars · Last commit 2026-09-18
Hire Google's Antigravity CLI (agy) as a fast Gemini staffer for Claude Code and OpenAI Codex.
README preview
<p align="center"><img src="assets/logo/gemini-agy.svg" width="440" alt="AGY-STAFF"></p> <p align="center"><a href="README.md">English</a> | <a href="README.zh-CN.md">Simplified Chinese</a></p> <p align="center"><a href="https://antigravity.google/product/antigravity-cli"><img src="assets/badges/powered-by-antigravity.svg" height="20" alt="powered by: Antigravity"></a> <img src="assets/badges/model-gemini-3-8-flash.svg" height="20" alt="model: Gemini 3.8 Flash"></p> <p align="center"><a href="https://claude.com/claude-code"><img src="assets/badges/claude-code-plugin.svg" height="20" alt="Claude Code plugin"></a> <a href="https://developers.openai.com/codex/"><img src="assets/badges/codex-plugin.svg" height="20" alt="Codex plugin"></a> <a href="LICENSE"><img src="assets/badges/license-mit.svg" height="20" alt="license: MIT"></a></p> Hire Google's Antigravity CLI (`agy`) as a staffer for **Claude Code**, **OpenAI Codex**, and **Pi**.  **[Install](#install) · [Examples](#cujs) · [Core design](#core-design) · [Upgrade](#upgrade)** ## What & Why agy-staff lets your senior agents delegate to `agy`, which ships fast Gemini 3.8 Flash. Five personas: staffer (general-purpose), researcher, reviewer (code **and** plans/decisions), implementer, and ask — plus a model-facing jobs skill. Claude Code uses `/agy:<persona>` and Codex uses `$agy:<persona>`. If you use Codex you know the feeling: GPT-5.6-Sol is slow even with fast mode on. Claude Code is quicker but still not fast, and Fable quota is scarce enough that you want it orchestrating subagents, not grinding through every survey and review itself. An agy worker gives you a fast lane — second opinions in seconds, research and reviews at Flash speed, scoped implementation handled off to the side while you keep moving. And where speed isn't the point, a second model family looking at the same code buys coverage and robustness your main agent can't give itself.