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Cursor Rules Auto-Sync Setup Guide

This repository automatically syncs team Cursor AI rules from a shared gist to ensure consistent AI behavior across the team.

🎯 Why Use This?

Benefits:

  • Consistent code quality - Everyone's AI follows the same standards (naming conventions, error handling, testing practices)
  • Faster onboarding - New team members get best practices automatically
  • Living documentation - Rules evolve with the project, updates propagate instantly

Project Proposal: floatingTokens

The Peer-to-Peer LLM Resource Exchange for Salesforce Developers

Guiding Principle: > “From each according to his ability, to each according to his needs.” — Karl Marx


1. Concept Overview

floatingTokens is a decentralized, peer-to-peer (P2P) token redistribution layer built on the Model Context Protocol (MCP).

Sketch2Dash MCP

![Sketch2Dash - Hand-drawn sketch to Superset dashboard] image

Managerial Summary

Sketch2Dash is a compiler-style MCP server that converts human dashboard intent into a production-grade Apache Superset dashboard bundle.

Input is informal (a hand-drawn sketch, mockup, or conversation). Output is formal and deterministic (a Superset-importable ZIP that passes strict validation).

AI Development Ground Rules

Authoritative rules for AI-assisted development Visual reference version (human-readable)


---
description: Mandatory rules for Java development, architectural integrity, change management, and testing standards.
alwaysApply: true
globs:
- "**/*.java"
- "**/build.gradle"
- "**/pom.xml"
- "**/*.md"
---
#table {
font-family: Arial, Helvetica, sans-serif;
border-collapse: collapse;
width: 100%;
}
#table td, #table th {
border: 1px solid #ddd;
padding: 8px;
text-align: center;