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@mrtrinhvn/ag-kit

v1.0.11

Published

Antigravity Kit Base Framework - Generic Agentic AI Programming Core

Readme

Antigravity Kit Core (@mrtrinhvn/ag-kit) 🚀

A generic, institutional-grade AI programming framework for automating scaffolding, architecture, and coding directly inside your software projects. Inspired by the principles of .agent systems, carefully stripped of domain-specific constraints to adapt to any software development lifecycle.

📦 Quick Install

The best way to initialize the AG-Kit in a new project is using npx:

npx @mrtrinhvn/ag-kit init

🛠 Global Usage & Commands

You can also install it globally if you frequently create new projects:

npm install -g @mrtrinhvn/ag-kit

Then use the provided CLI anywhere:

| Command | Description | |---|---| | ag-kit init | Scaffolds the .agent framework (Agents, Skills, Workflows) into your current directory. | | ag-kit update | Pulls the latest rules and templates and safely overwrites the core .agent folders without breaking your custom knowledge/ base. | | ag-kit status | Checks exactly which version of the AG-Kit is active in your current working directory. |

🧠 What's Inside the Brain?

Running ag-kit init injects the following core architecture into your project:

  • GEMINI.md: The supreme constitution (Tier 0 Rules) ensuring the Agent always thinks systematically, acts safely, and never hallucinates code.
  • agents/: Core personas taking specialized roles (e.g., orchestrator, frontend-specialist, backend-specialist, debugger).
  • skills/: Tactical operational algorithms spanning from clean-code and tdd-workflow to python-patterns and nextjs-react-expert.
  • workflows/: Pre-defined step-by-step instructions (slash commands) like /create, /plan, /brainstorm, and /debug.
  • scripts/: CI/CD automation checkers like lint_runner.py and security_scan.py.

⚙️ How It Works

The AG-Kit is designed to be injected into an AI IDE or a custom Agent workspace.

  1. The AI reads GEMINI.md first.
  2. It assumes the persona of the relevant specialist in agents/.
  3. It selectively loads specific techniques from skills/ based on context.
  4. It continuously documents important technical learnings in knowledge/.

Built with ❤️ to enforce Institutional-Grade Software Standards.