graphify

Solid

any input (code, docs, papers, images) → knowledge graph → clustered communities → HTML + JSON + audit report

Data & Documents 48 stars 4 forks Updated today MIT

Install

View on GitHub

Quality Score: 87/100

Stars 20%
56
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# /graphify Turn any folder of files into a navigable knowledge graph with community detection, an honest audit trail, and three outputs: interactive HTML, GraphRAG-ready JSON, and a plain-language GRAPH_REPORT.md. ## Usage ``` /graphify # full pipeline on current directory → Obsidian vault /graphify <path> # full pipeline on specific path /graphify <path> --mode deep # thorough extraction, richer INFERRED edges /graphify <path> --update # incremental - re-extract only new/changed files /graphify <path> --cluster-only # rerun clustering on existing graph /graphify <path> --no-viz # skip visualization, just report + JSON /graphify <path> --html # (HTML is generated by default - this flag is a no-op) /graphify <path> --svg # also export graph.svg (embeds in Notion, GitHub) /graphify <path> --graphml # export graph.graphml (Gephi, yEd) /graphify <path> --neo4j # generate graphify-out/cypher.txt for Neo4j /graphify <path> --neo4j-push bolt://localhost:7687 # push directly to Neo4j /graphify <path> --mcp # start MCP stdio server for agent access /graphify <path> --watch # watch folder, auto-rebuild on code changes (no LLM...

Details

Author
jjmartres
Repository
jjmartres/ai-coding-agents
Created
5 months ago
Last Updated
today
Language
TypeScript
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category