vibe-coding-cn/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude series models when working with code in this repository.

Repository Overview

This is the Vibe Coding CN repository, a workflow, toolset, and knowledge base for advanced AI-assisted programming. The project's core assets are its extensive prompts and skills libraries.

Key Commands

Prompt Library Management

# Enter the library directory
cd libs/external/prompts-library

# Run the interactive conversion tool
python3 main.py

Development & Maintenance

# Lint all markdown files in the repository
make lint

# Create a full project backup (respects .gitignore)
bash backups/一键备份.sh

Architecture & Structure

Core Directories

• prompts/: The core asset. A massive, well-organized library of prompts.
  • coding_prompts/, system_prompts/, user_prompts/
• skills/: A modular library of skills for the AI, providing domain-specific knowledge for various tools like ccxt, postgresql, telegram-dev, etc.
• documents/: The project's knowledge base, containing methodology, principles, and guides.
• libs/external/prompts-library/: A Python-based tool for converting prompts between Excel and Markdown formats.
• backups/: Scripts for project backups.
• libs/: Skeleton for shared Python library code.

Key Technical Details

1. Prompt Organization: Prompts use a (row,col)_ prefix for categorization.
2. Conversion Tool: The prompts-library uses Python with pandas and openpyxl.
3. Documentation Standard: User-facing documentation is in Chinese. Code, file names, and structure are in English.
4. Skills: The skills directory provides context and knowledge for specific tools and domains, each with its own SKILL.md.

Development Workflow

When modifying this repository:

1. Follow the existing prompt and skill categorization systems.
2. Use the prompts-library tool to maintain consistency when updating prompts.
3. Run make lint after changing any Markdown files.
4. Run a backup with bash backups/一键备份.sh before any major refactoring.