Converts code, docs, papers, and media into a persistent knowledge graph with community detection.
npx skills add https://github.com/MSC72m/DevForge --skill graphify-msc72m
Please help me install this Agent Skill. Skill: graphify Source: https://github.com/MSC72m/DevForge/tree/main/skills/graphify Command: npx skills add https://github.com/MSC72m/DevForge --skill graphify-msc72m
High-intent search queries and answers about installing and using this skill.
Run /graphify on the target directory. It detects files, runs AST extraction on code and semantic extraction on docs, then clusters the graph and writes graph.html, graph.json, and GRAPH_REPORT.md into graphify-out/.
It supports code files via AST parsing, docs and papers such as Markdown, text, and PDF, images via vision, and video or audio files which are first transcribed with Whisper and treated as documents.
Yes. The --update flag re-extracts only new or changed files using a saved manifest, and a semantic cache avoids reprocessing unchanged files. A --watch mode auto-rebuilds on code changes without LLM calls.
Yes. The --neo4j flag generates a Cypher import file and --neo4j-push writes directly to a running Neo4j instance using MERGE. The --obsidian flag generates an Obsidian vault with a canvas file and community overview notes.
An empty graph means extraction produced no nodes, typically because all files were skipped, the corpus contains only unsupported binaries, or extraction failed. Check that the path contains supported file types and rerun.
Graphs with more than 5,000 nodes are too large for the HTML visualizer, so the skill directs you to the Obsidian vault output instead. Very large corpora over 200 files or 2 million words require selecting a subfolder first.
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