skills.rest
sdisaacson
sdisaacsonCOMMUNITY
Explore all skills by this author →
WebsiteGitHub

graphify

Create knowledge graphs from codebases and documents using Python libraries.

Updated Jun 27, 2026
Search Tags:#document processing#code analysis#knowledge graph#graph visualization#community detection
One-click install
npx skills add https://github.com/sdisaacson/careersyncai --skill graphify-sdisaacson
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graphify
Source: https://github.com/sdisaacson/careersyncai/tree/main/.claude/skills/graphify
Command: npx skills add https://github.com/sdisaacson/careersyncai --skill graphify-sdisaacson

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires graphify, graphify.llm, graphify.serve, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill turns codebases, documents, and other content into a navigable knowledge graph, making it easy to explore relationships and connections within the data.

Core Features & Use Cases

  • Codebase Analysis: Visualize codebase architecture, file relationships, and project content.
  • Document Processing: Build a knowledge graph from a collection of documents, with community detection and persistent search capabilities.
  • Use Case: Use this Skill to explore the architecture of a large codebase or to understand the relationships between different documents in a research project.

Quick Start

Run the graphify skill with the path to your project or codebase.

Frequently Asked Questions about graphify

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

FAQPage Schema
How do I generate a knowledge graph from a codebase?▼

To generate a knowledge graph from a codebase, provide the project path to the graphify skill. It performs structural and semantic code analysis to map file relationships and visualize architecture.

What is the best way to build a knowledge graph from a document collection?▼

Building a knowledge graph from a document collection involves structural and semantic analysis with community detection. The graphify skill processes documents to map relationships and provide persistent search capabilities.

Do I need Python libraries to perform code analysis for knowledge graphs?▼

Yes, you need Python libraries to process knowledge graphs. The graphify skill requires graphify, graphify.llm, and graphify.serve to analyze content, detect communities, and serve queries.

How does community detection work for document processing?▼

Community detection for document processing groups related content by analyzing semantic relationships within the collection. The graphify skill applies these algorithms to identify clusters and map connections in your data.

Can I use graphify to explore the architecture of a large codebase?▼

You can use graphify to explore large codebase architecture by transforming structural and semantic code analysis into a navigable knowledge graph. This makes it easy to visualize and query file relationships.

Related Skills

Explore More Software Engineering Skills→
lyq-linlyq-lin

ant-design-knowledge-base

Query a local knowledge base for Ant Design component semantics and documentation links.

Community
Advanced
jsagirjsagir
2

graph

Translate natural language queries into SQL for SQLite knowledge graphs.

Community
Intermediate
NoegnesisNoegnesis

graphify-windows

Builds a navigable knowledge graph from mixed folders with HTML and JSON exports.

Community
Advanced
priyanshuuzzpriyanshuuzz

graphify

Construct a knowledge graph from a folder of files with community detection.

Community
Advanced