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gkg

Build a knowledge graph from Git repository code for navigation and impact analysis.

Updated Feb 27, 2026
Search Tags:#code-analysis#language-support#knowledge-graph#architecture-diagrams#go-to-definition#git-repository#find-usages
One-click install
npx skills add https://github.com/haidonglethqb/CloudSchool --skill gkg-haidonglethqb
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gkg
Source: https://github.com/haidonglethqb/CloudSchool/tree/main/.claude/skills/gkg
Command: npx skills add https://github.com/haidonglethqb/CloudSchool --skill gkg-haidonglethqb

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

GitLab Knowledge Graph (GKG) provides IDE-like code navigation, semantic analysis, and architecture visualization by building a knowledge graph from repository code, enabling faster understanding and safer refactoring.

Core Features & Use Cases

  • Go-to-definition across files to quickly locate symbol definitions.
  • Find all usages and impact analysis to assess refactoring effects.
  • Architecture visualization and RAG-enhanced code understanding for complex codebases.
  • Supports multiple languages (Ruby, Java, Kotlin, Python, TypeScript/JavaScript) and works with Git repositories.

Quick Start

Index your repository with gkg index and start the HTTP API server with gkg server start to enable go-to-definition and find-usages.

Frequently Asked Questions about gkg

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

FAQPage Schema
How do I find usages and do go-to-definition across multiple programming languages in a Git repository?▼

Go-to-definition and find-usages across Ruby, Java, Kotlin, Python, and TypeScript/JavaScript are achieved by building a knowledge graph from your Git repository code. Index the repository first to enable these IDE-like navigation queries.

What is the best way to assess the impact of refactoring code in a large codebase?▼

Impact analysis for refactoring is performed by querying a knowledge graph built from the repository code. This graph maps all symbol usages and definitions to help visualize architecture and assess the downstream effects of code changes.

How do I index a repository and start querying code architecture via HTTP API?▼

Indexing a repository requires running the indexing workflow command, followed by starting the HTTP API server. Once the server is active, you can execute interactive go-to-definition and find-usages queries through HTTP endpoints and MCP tools.

Does this code analysis approach work with Ruby, Java, Kotlin, Python, and TypeScript?▼

Yes, semantic code analysis and architecture visualization support Ruby, Java, Kotlin, Python, and TypeScript/JavaScript. The knowledge graph extracts structural relationships across these languages within Git repositories to enable cross-file navigation.

Can I visualize software architecture and enhance code understanding for complex projects?▼

Architecture visualization is generated from the repository's knowledge graph to clarify complex codebases. This graph-based representation enhances code understanding and enables safer refactoring by mapping structural dependencies.

Why do I need to build a knowledge graph for code navigation instead of using standard text search?▼

A knowledge graph provides semantic code navigation by mapping structural relationships, whereas standard text search lacks contextual awareness. Building this graph enables precise go-to-definition, find-usages, and impact analysis across multiple programming languages.

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