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rulebook-ai

by botingw

Pending

Elevate vibe coding to vibe engineering: Get consistent Github Copilot custom instructions, Cursor, Roo Code, Cline, Windsurf, Claude Code, Gemini Cli, Codex CLI, kilo code, warp custom rules via a universal, managed template. Features vibe coding memory bank & best practices for large codebases.

569stars
79forks
Python
Added 12/27/2025
View on GitHubDownload ZIP
CLI Toolsclaude-codeclinecodex-clicontext-encursorgemini-cligithub-copkilo-coderoo-codevibe-codingwarpwindsurf
Installation
# Add to your Claude Code skills
git clone https://github.com/botingw/rulebook-ai
README.md

Python 3.9+ License: MIT

  • For bug report, use issues or use rulebook-ai command rulebook-ai bug-report
  • For real-time chat, community support, and to share your ideas, Join our Discord
  • Have specific feedback or want a personal demo? Book a Chat on my Calendar

Rulebook-AI: The AI Environment Manager

rulebook-ai is a command-line tool for packaging and deploying consistent, expert environments—rules, context, and tools—to your favorite AI coding assistants.

Stop wasting time re-explaining your project's architecture or manually copy-pasting instructions between different AIs. With rulebook-ai, you define your AI's environment once, and deploy it anywhere.

The Problem: AI Assistants are Generic and Isolated

AI coding assistants are powerful, but they operate in a vacuum.

  1. They are forgetful: They have no long-term memory of your project's specific architecture, libraries, or goals.
  2. They are inconsistent: Instructions you give to Cursor don't work in Gemini, and your Copilot context is siloed.
  3. They are unspecialized: An AI's general knowledge is not enough for expert-level tasks. A great "React developer" AI needs different rules, context, and tools than a great "DevOps engineer" AI.

The Solution: Portable and Composable AI Environments

rulebook-ai solves this by treating an AI's entire operational context as a portable Environment that you can manage like code. An Environment consists of three parts:

  • Rules: The AI's operating instructions and workflows.
  • Context: A persistent knowledge base (your project's "memory").
  • Tools: Helper scripts the AI can use to perform tasks.

These environments are packaged into versionable, shareable Packs.

Why rulebook-ai is the Answer

| Value Proposition | How rulebook-ai Delivers | | ---------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Portability Across Assistants | Define an environment once in a universal Pack. The project sync command automatically translates and deploys it to any supported AI (Cursor, Gemini, Copilot, etc.). Use the best AI for the job without losing context. | | Deep Specialization for Any Task | Create or use packs for specific roles (Product Manager, DevOps) or technologies (React, AWS, Data Science). Instantly...