Construct a knowledge graph from a folder of files with community detection.
npx skills add https://github.com/priyanshuuzz/wordblitz --skill graphify-priyanshuuzz
Please help me install this Agent Skill. Skill: graphify Source: https://github.com/priyanshuuzz/wordblitz/tree/main/.kiro/skills/graphify Command: npx skills add https://github.com/priyanshuuzz/wordblitz --skill graphify-priyanshuuzz
This Skill transforms folders of files into a structured knowledge graph, making it easier to understand and navigate complex information.
Run the graphify skill on the current directory to create a knowledge graph of all files within.
High-intent search queries and answers about installing and using this skill.
To create a knowledge graph from a folder of files, run the graphify Skill on your target directory to automatically extract relationships from code, documents, images, and videos. It outputs interactive HTML, GraphRAG-ready JSON, and a plain-language report.
Community detection for knowledge graph visualization works by identifying and clustering related concepts within your files into interconnected groups. This process highlights structural relationships and provides a comprehensive view of how different information nodes interact.
Yes, you can build a knowledge graph that includes images and videos. The Skill processes mixed-media folders by analyzing multimedia content alongside code and text documents to extract and map conceptual relationships.
An audit trail in file analysis is a record that tracks all extracted relationships and their confidence levels. It ensures transparency during knowledge graph construction by documenting how concepts were linked together.
Yes, you need Python installed along with specific libraries for file analysis and graph construction. The Skill relies on this Python environment to process your files and generate the interactive HTML graph output.
The best way to prepare folder data for GraphRAG is to generate a structured JSON knowledge graph. This Skill automatically maps file relationships and outputs GraphRAG-ready JSON alongside an interactive HTML visualization.
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