Generate a knowledge graph from a folder of files with semantic analysis and community detection.
npx skills add https://github.com/ammonfife/sakima.co --skill graphify-ammonfife
Please help me install this Agent Skill. Skill: graphify Source: https://github.com/ammonfife/sakima.co/tree/main/.claude/skills/graphify Command: npx skills add https://github.com/ammonfife/sakima.co --skill graphify-ammonfife
This Skill helps users create a knowledge graph from a folder of files, uncovering hidden connections and organizing information in a structured format.
Run the graphify skill on your current directory to create a knowledge graph from all files within.
High-intent search queries and answers about installing and using this skill.
Community detection in file analysis works by identifying clusters of related concepts across a directory. It parses various file types like code and documents to uncover hidden connections, organizing information into structured clusters within the generated knowledge graph.
Yes, you can create a knowledge graph that includes images and code files. The analysis supports various file types including code, documents, and images, allowing you to visualize relationships and connections across a diverse research corpus or codebase.
Available output formats when building a knowledge graph from documents include interactive HTML, JSON, SVG, GraphML, Cypher, and an audit report. These outputs provide multiple ways to visualize and interact with the detected semantic communities.
Yes, you need Python dependencies to perform semantic analysis on a directory. The parsing and analyzing processes require specific Python libraries to extract concepts, detect communities, and generate the final knowledge graph outputs.
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