graphify

Transform codebases and document collections into queryable knowledge graphs.

Updated Jun 5, 2026
One-click install
npx skills add https://github.com/zMynxx/bifrost-with-opencode --skill graphify-zmynxx
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/zMynxx/bifrost-with-opencode/tree/main/.opencode/skills/graphify
Command: npx skills add https://github.com/zMynxx/bifrost-with-opencode --skill graphify-zmynxx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the challenge of understanding large codebases and document collections by transforming scattered project content into a persistent knowledge graph with traceable relationships.

Core Features & Use Cases

  • Knowledge Graph Generation: Converts code, documentation, papers, images, and videos into interconnected graph structures with extracted and inferred relationships.
  • Codebase Exploration: Answers architecture questions, traces dependencies, explains concepts, and finds paths between components using graph-based queries.
  • Use Case: A developer onboarding to an unfamiliar repository can use this Skill to build a visual knowledge graph, discover major modules, and ask questions about how systems are connected.

Quick Start

Use the graphify skill to analyze this repository and explain its main architecture and component relationships.

Frequently Asked Questions about graphify

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

FAQPage Schema
How do I turn a codebase into a queryable knowledge graph?

You can query architecture and trace component dependencies by using graph traversal workflows that extract relationships from code and document collections, building a persistent structure for exploration.

What is the best way to analyze codebase architecture for component relationships?

The best way to analyze codebase architecture is generating a knowledge graph that extracts and infers relationships across modules, allowing you to visually discover major components and trace system connections.

Can I use graph extraction on technical documentation and research corpora?

Yes, graph extraction applies to technical documentation, research corpora, images, and videos, converting multi-format content collections into interconnected graph structures for relationship discovery.

Do I need to set up dependencies to perform repository exploration with knowledge graphs?

No dependencies are required to perform repository exploration with knowledge graphs, as the process relies entirely on internal graph extraction, clustering, and query traversal workflows to map the repository.

How do I export a persistent knowledge representation after codebase analysis?

You export persistent knowledge representations by applying the export workflow after graph extraction and clustering, producing queryable graph structures that preserve traceable relationships from the analyzed codebase.