sync-ai-rules

Compare and reconcile AI rule sets across Cursor, Claude Code, and GitHub Copilot.

Updated Aug 23, 2026

Search Tags:#sync #claude-code #cursor #copilot #rule-management #ai-rules

Ready to run

npx skills add https://github.com/seanwachs/cursor-skills --skill sync-ai-rules

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: sync-ai-rules
Source: https://github.com/seanwachs/cursor-skills/tree/main/.agents/skills/sync-ai-rules
Command: npx skills add https://github.com/seanwachs/cursor-skills --skill sync-ai-rules

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Reconcile and validate AI rule definitions across Cursor, Claude Code, and Copilot to prevent drift and ensure consistent behavior across tools and providers.

Core Features & Use Cases

Cross-provider rule discovery and comparison across Cursor, Claude Code, and Copilot.
Automated delta reporting and reconciliation guidance to align rule sets.
Exportable patches or new rule templates to restore synchronization.

Quick Start

Run a cross-provider audit to identify mismatched rules and apply canonical changes to align all providers.

Frequently Asked Questions about sync-ai-rules

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I keep AI rules in sync across Cursor, Claude Code, and Copilot?▼

To keep AI rule sets in sync across providers, run a cross-provider audit to identify mismatched definitions and apply canonical changes that align Cursor, Claude Code, and Copilot instructions.

What causes AI rule drift between Cursor and Claude Code?▼

AI rule drift happens when independent edits to .cursor/rules/*.mdc and .claude/rules/*.md create conflicting instructions. Delta reporting identifies these mismatches and generates reconciliation guidance to restore alignment.

How do I compare AI rule definitions across multiple coding assistants?▼

Comparing AI rule definitions across multiple coding assistants involves auditing cross-provider rule files, detecting deltas between Cursor, Claude Code, and Copilot instructions, and generating normalized reconciliation patches.

Can I generate reconciliation patches for mismatched Copilot and Cursor rules?▼

Yes, you can generate exportable patches and new rule templates for mismatched Copilot and Cursor rules. The reconciliation process identifies deltas and produces actionable guidance to restore synchronization.

What is the best way to normalize AI instruction versions across providers?▼

The best way to normalize AI instruction versions across providers is to perform cross-provider rule comparison and version normalization, which audits definitions and applies canonical changes to ensure consistent instruction behavior.