cursor-rules-synchronizer

Cursor Rules Synchronizer

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "cursor-rules-synchronizer" with this command: npx skills add amhuppert/my-ai-resources/amhuppert-my-ai-resources-cursor-rules-synchronizer

Cursor Rules Synchronizer

Overview

Synchronizes Cursor Rules to CLAUDE.md, creating a self-contained Rules section that enables Claude Code to discover and apply rules in future sessions.

When to Use

Run this skill when:

  • Setting up Cursor Rules in a project for the first time

  • After adding new Cursor Rule files

  • After modifying existing rule descriptions or organization

  • When the Rules section in CLAUDE.md is missing, incomplete, or outdated

Synchronization Workflow

Follow these steps to synchronize Cursor Rules to CLAUDE.md:

Step 1: List Rules

Use the helper command to get all Cursor Rule file paths:

ai skill cursor-rules-synchronizer list

This outputs one file path per line (e.g., .cursor/rules/meta/creating-rules.mdc ).

Step 2: Read All Rules

Read each rule file using the Read tool to understand:

  • Frontmatter metadata (description, globs, alwaysApply)

  • Full rule content

  • Purpose and when the rule should be applied

Step 3: Generate Descriptions

For each rule, generate a context-efficient description following the Description Writing Standards below.

Step 4: Update CLAUDE.md

Add or update the Rules section in CLAUDE.md with:

Rules Discovery Instructions (if not already present):

  • Explain how to use the Rules section

  • Instruct to review descriptions and read relevant rule files

Rules Section:

  • Organize rules by category (extract from directory structure)

  • List each rule with path and generated description

Description Writing Standards

When generating descriptions for CLAUDE.md, follow Claude Skill description best practices:

Format requirements:

  • Third person perspective ("This rule should be used when..." not "Use this rule when...")

  • Concrete language specifying what the rule does

  • Include specific triggers (contexts, file types, tasks)

  • Keep under 2 sentences for context efficiency

Adaptation process:

  • Use the rule's frontmatter description as starting point

  • Read full rule content to understand complete purpose

  • Transform into third-person, trigger-rich format

  • Prioritize discovery information over implementation details

Output (for CLAUDE.md): "This rule should be used when creating Mermaid diagrams for AI consumption in markdown or .mdc files. Provides standards for inline comments, self-contained diagrams, and embedded context to eliminate external documentation dependencies."

❌ Not third person, too vague, missing triggers, doesn't specify what rule provides.

CLAUDE.md Structure

The Rules section should follow this structure:

Project Rules

Review rule descriptions below to identify relevant rules for the current task. Read full rule files when determined to be relevant.

[category]

  • [path-to-rule]: [description]
  • [path-to-rule]: [description]

Helper Command

ai skill cursor-rules-synchronizer list

Lists all Cursor Rule file paths in the project.

Output: One file path per line, suitable for reading with the Read tool.

Context Efficiency Requirements

CLAUDE.md is always loaded into context, so minimize token usage:

  • Descriptions under 2 sentences each

  • Focus on "what" and "when", not "how"

  • Implementation details stay in rule files

  • Only essential discovery information in CLAUDE.md

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

ll-feishu-audio

飞书语音交互技能。支持语音消息自动识别、AI 处理、语音回复全流程。需要配置 FEISHU_APP_ID 和 FEISHU_APP_SECRET 环境变量。使用 faster-whisper 进行语音识别,Edge TTS 进行语音合成,自动转换 OPUS 格式并通过飞书发送。适用于飞书平台的语音对话场景。

Archived SourceRecently Updated
General

test_skill

import json import tkinter as tk from tkinter import messagebox, simpledialog

Archived SourceRecently Updated
General

51mee-resume-profile

简历画像。触发场景:用户要求生成候选人画像;用户想了解候选人的多维度标签和能力评估。

Archived SourceRecently Updated
General

51mee-resume-parse

简历解析。触发场景:用户上传简历文件要求解析、提取结构化信息。

Archived SourceRecently Updated