graphify-setup

Automate installation and configuration of graphifyy or codegraph tools.

1|1|Updated Jul 7, 2026

Search Tags:#automation #codebase #claude #mcp #codegraph #graphify

Ready to run

npx skills add https://github.com/hicucu/my-poor-ai --skill graphify-setup-hicucu

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: graphify-setup
Source: https://github.com/hicucu/my-poor-ai/tree/main/skills/graphify-setup
Command: npx skills add https://github.com/hicucu/my-poor-ai --skill graphify-setup-hicucu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pip, npm.

What problem does it solve?

This skill eliminates the manual complexity of configuring code visualization tools, ensuring your codebase is indexed and integrated with Claude Code without repetitive setup steps.

Core Features & Use Cases

Tool Selection & Installation: Automatically detects and installs either graphifyy or codegraph based on your environment.
Seamless Integration: Handles git hook registration, .gitignore updates, and Claude Code MCP configuration in one go.
Use Case: When starting a new project or onboarding a team member, use this skill to instantly sync the codebase graph and enable intelligent code context for your AI agent.

Quick Start

Run the graphify-setup command to automatically detect, install, and configure the best code graph tool for your current project environment.

Frequently Asked Questions about graphify-setup

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

FAQPage Schema

How do I automate codebase graph setup for Claude Code?▼

Automating codebase graph setup involves configuring tools like graphifyy or codegraph within a repository. This skill manages package installation, git hook registration, .gitignore updates, and Claude Code MCP integration to ensure consistent environment setup across development teams.

How does Claude Code MCP integration work with code visualization tools?▼

Claude Code MCP integration works by configuring code visualization tools like graphifyy or codegraph to index your codebase. This provides enhanced context awareness, allowing your AI agent to understand repository structure and relationships intelligently.

Do I need pip and npm to configure codegraph in my repository?▼

Yes, you need pip and npm installed because the skill verifies these dependencies to manage package installation. It automatically detects and installs either graphifyy or codegraph based on your current project environment.

What is the best way to sync a codebase graph for a new project?▼

The best way to sync a codebase graph for a new project is running an automated setup command. This instantly detects your environment, installs the appropriate visualization tool, and configures git hooks and MCP integration in one go.

Can I use this automated setup to onboard team members with graphifyy?▼

Yes, you can use this automated setup to onboard team members with graphifyy. It ensures consistent environment setup by automating configuration steps, verifying dependencies, and registering git hooks across development teams.

Why does manual code visualization configuration fail across development teams?▼

Manual code visualization configuration fails due to repetitive setup steps and inconsistent environment setups. Automating package installation, .gitignore updates, and git hook registration eliminates manual complexity and ensures consistent integration.