gkg

Analyze codebases into a graph-based knowledge graph for IDE-like navigation and symbol resolution.

1|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/hoanghd218/tranvanhoang.com --skill gkg
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gkg
Source: https://github.com/hoanghd218/tranvanhoang.com/tree/main/.claude/skills/gkg
Command: npx skills add https://github.com/hoanghd218/tranvanhoang.com --skill gkg

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Semantic code understanding and navigation across large codebases by mapping code symbols into a graph-based representation, enabling quick go-to-definition, usages search, and impact analysis.

Core Features & Use Cases

  • Go-to-definition for symbols across files and repos
  • Find all usages and cross-file references
  • Generate architecture diagrams and insights for refactoring
  • RAG-enhanced code understanding for AI assistants

Quick Start

Index your repository with gkg index and then start the server with gkg server start to enable API access.

Frequently Asked Questions about gkg

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

FAQPage Schema
How do I find all usages and cross-file references in a large codebase?

To find all usages and cross-file references, you can index your repository into a graph-based knowledge graph. This maps code symbols to enable quick find-usages and impact analysis across files.

Does semantic code navigation work across multiple repositories for languages like Python and Java?

Yes, semantic code navigation works across multiple repositories for Python, Java, Kotlin, Ruby, and TypeScript/JavaScript. It maps symbols into a graph representation to resolve references in multi-repo workspaces.

How do I generate architecture diagrams from source code for refactoring?

You can generate architecture diagrams by parsing the AST of your Git repository and mapping code symbols into a graph database. This visualizes structural dependencies to guide refactoring efforts.

What do I need to set up IDE-like go-to-definition outside of my editor?

You need a Git repository, AST parsing capabilities, and a graph database to enable IDE-like go-to-definition. Index your codebase with the index command, then start the server for API access.

Can I use a knowledge graph for RAG-enhanced code understanding in AI assistants?

Yes, mapping code symbols into a graph-based representation provides semantic context for RAG-enhanced code understanding. This enables AI assistants to quickly resolve definitions and cross-file references.

How does graph-based code analysis compare to standard text search for impact analysis?

Graph-based code analysis uses semantic understanding through AST parsing and a graph database, whereas standard text search relies on string matching. This allows accurate go-to-definition and precise impact analysis across large codebases.