Converts a folder of files into a knowledge graph with HTML, JSON, and report outputs.
npx skills add https://github.com/kos3nz/dotfiles --skill graphify-kos3nz
Please help me install this Agent Skill. Skill: graphify Source: https://github.com/kos3nz/dotfiles/tree/main/.config/agents/skills/graphify Command: npx skills add https://github.com/kos3nz/dotfiles --skill graphify-kos3nz
Turn any folder of files (code, docs, papers, images) into a navigable knowledge graph with an honest audit trail and ready-made outputs (interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPH_REPORT.md).
Drop any folder into graphify and run the CLI on that path to generate a graph, an HTML/JSON output, and an audit report.
High-intent search queries and answers about installing and using this skill.
To turn a folder into a knowledge graph, run the CLI on your target path to detect files, extract cross-document relationships, and generate interactive HTML, GraphRAG-ready JSON, and a plain-language report.
An audit trail in a knowledge graph labels every edge as EXTRACTED, INFERRED, or AMBIGUOUS to show evidence. This transparency matters because it reveals the confidence level behind cross-document connections and inferred concepts.
Yes, you can generate a knowledge graph from mixed file formats. The tool detects files across code, docs, papers, and images, running deterministic and semantic extraction to reveal cross-format community connections.
To keep knowledge graph relationships persistent across sessions, the tool saves discovered connections to a graph.json file in the output directory, ensuring your extracted and inferred data survives for later exploration.
The best way to understand an unfamiliar codebase using a knowledge graph is to run extraction on the folder to discover cross-document relationships, cluster concepts, and review the generated plain-language report for navigable insights.
No, graphify does not require external dependencies to process files for data discovery. It operates independently to load paths, detect files, and run deterministic and semantic extraction for your folder corpus.
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