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This repository contains the Intelligence Layer for Avocado. It provides the necessary context, rules, and logic for AI agents (Cursor, Windsurf, GitHub Copilot) to build, test, and maintain Avocado-specific software.

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πŸ₯‘ Avocado AI Resources

Operational frameworks, set plans, and configurations for AI-assisted engineering within the Avocado ecosystem.

🎯 Overview

This repository serves as the "Instruction Manual" for AI agents (like Cursor, Windsurf, or Claude) when they are working on Avocado codebases. It standardizes how AI understands our logic, follows our plans, and executes tasks.

πŸ“‚ Current Resources

πŸ“‹ Set Plans (/plans)

Structured blueprints for the AI to follow step-by-step.

  • [Your-Plan-Name].md: (Current active plan) - Use this to guide the AI through specific coding workflows or feature implementations.

πŸ›  Future Roadmap

These modules will be implemented as the Avocado AI ecosystem scales:

  • .cursorrules: Global rulesets to automate context and coding style in the Cursor editor.
  • Personas: System prompts that define specific "Expert Engineer" roles for different Avocado modules.
  • Knowledge Base: Markdown-based snippets to give AI "long-term memory" of Avocado’s internal APIs.

πŸš€ How to Use

  1. Reference the Plan: In your AI chat (e.g., Cursor Composer or Claude), reference the plan file:

    "@plans/[your-plan-name].md follow this plan to help me implement the next steps."

  2. Stay Consistent: Ensure any new AI logic or rules are added here to keep a single source of truth for "Avocado-style" coding.

πŸ— Setup

To use these resources in a local project:

git clone [https://github.com/](https://github.com/)[your-username]/avocado-ai-resources.git

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This repository contains the Intelligence Layer for Avocado. It provides the necessary context, rules, and logic for AI agents (Cursor, Windsurf, GitHub Copilot) to build, test, and maintain Avocado-specific software.

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