Verified:GitHub

ck:gkg

Index code repositories and provide go-to-definition, find-usages, and impact analysis.

Updated Feb 27, 2026

Search Tags:#impact-analysis #code-navigation #go-to-definition #ai-assistance #semantic-analysis #find-usages #architecture-visualization

Ready to run

npx skills add https://github.com/haidonglethqb/CloudSchool --skill ck-gkg-haidonglethqb

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ck:gkg
Source: https://github.com/haidonglethqb/CloudSchool/tree/main/.qwen/skills/gkg
Command: npx skills add https://github.com/haidonglethqb/CloudSchool --skill ck-gkg-haidonglethqb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Semantic code analysis and navigation across codebases to discover definitions, usages, and architectural relationships.

Core Features & Use Cases

Go-to-definition across files
Find all usages and impact analysis
Architecture visualization and RAG-assisted code understanding

Quick Start

Install the knowledge-graph server locally, index your repository, then start the server to enable semantic code analysis.

Frequently Asked Questions about ck:gkg

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

FAQPage Schema

How do I perform go-to-definition and find usages across multiple programming languages in a single repository?▼

To perform go-to-definition and find usages across multiple programming languages, you can index your local Git repository using a knowledge graph server. This enables IDE-like semantic code analysis and navigation for Ruby, Java, Kotlin, Python, and TypeScript/JavaScript files.

How does semantic code analysis and impact analysis work for large codebases?▼

Semantic code analysis works by indexing and analyzing code repositories to map architectural relationships. It coordinates querying and visualization workflows using a graph database and language parsers to provide accurate impact analysis and find all usages.

What do I need to set up to enable AI-assisted code navigation and architecture visualization?▼

To enable AI-assisted code navigation and architecture visualization, you need a local Git repository, a running knowledge graph server, and dependencies including a graph database and language parsers. You must index the repository before starting the server.

Can I use this semantic code analysis approach for a multi-language project containing Ruby, Java, and Python?▼

Yes, semantic code analysis supports multi-language projects containing Ruby, Java, Kotlin, Python, and TypeScript/JavaScript. It indexes these codebases to provide cross-file definition lookup and impact analysis for teams integrating AI assistants.

Is there a way to visualize code architecture and relationships without a standard IDE?▼

Yes, you can visualize code architecture without a standard IDE by running a local knowledge graph server. It analyzes your repository to generate architecture visualization and supports RAG-assisted code understanding for your project.