AI capability framework for Google Gemini and agentic workflows

🌌 Antigravity Config

Workspace Configuration Framework for Agentic Software Engineering

A standardized configuration framework to define architectural constraints, specialized skills, and operational workflows for AI coding agents (Gemini, Gemini, Gemini, Windsurf).

🎯 Overview

This repository provides a standardized configuration structure for AI development environments. It ensures code consistency and adherence to architectural standards through three main components:

Core Components

1. Rules: Global architectural constraints applied universally to all agent interactions.
   • Example: Enforcing thread-safe patterns or complexity limits.
   • Location: rules/
2. Skills: Specialized knowledge modules for specific domains.
   • Concept: Contextual information (e.g., 8-blockchain) loaded only when relevant to the task.
   • Format: Standardized SKILL.md files organized by category.
3. Workflows: Automated procedures for multi-step tasks.
   • Mechanics: Pre-defined sequences for operations like /deploy or security audits.

🌐 Trilingual Support

Main documentation is available in English, Spanish, and Portuguese. Technical skill instructions (skill.md) are maintained in English for cross-LLM precision and token efficiency.

🏗️ Directory Standards

This repository enforces lowercase kebab-case for file and directory names to ensure compatibility with CLI tools.

antigravity-config/
├── install.sh           # Installation script
├── docs/                # Project documentation
├── scripts/             # Internal utilities and scripts
├── template/            # Templates for new components
├── rules/               # Global architectural rules
├── skills/              # Domain knowledge (100+ Skills)
└── workflows/           # Automated operational sequences