graphify

name	graphify
description	Use this skill when the user wants to build a knowledge graph from code, docs, papers, images, or videos, or query an existing graph.

Graphify Plugin

Turn any folder of code, docs, papers, images, or videos into a queryable knowledge graph. Uses tree-sitter AST for code extraction and Claude for semantic extraction from docs and media.

Commands

Build Graph

• graphify graph build [path] — Build knowledge graph from a directory (default: current directory)
• graphify graph update [path] — Re-extract only changed files, merge into existing graph
• graphify graph watch [path] — Auto-sync graph as files change

Query Graph

• graphify graph query "<question>" — Ask a question to the knowledge graph
• graphify graph path <node1> <node2> — Find shortest path between two nodes
• graphify graph explain <node> — Get plain-language explanation of a node

Add Content

• graphify content add <url> — Fetch and add paper, video, or tweet to the graph

Setup

• graphify platform install — Install graphify skill for your AI assistant
• graphify git hook-install — Install git hooks for auto-rebuild on commit/branch switch

Usage Examples

• "Build a knowledge graph from my codebase"
• "Query the graph about the auth flow"
• "Add this paper to my knowledge graph"
• "What connects Attention to the optimizer?"

Installation

pip install graphifyy
graphify install

Examples

# Build graph from current directory
graphify .

# Build graph from specific folder
graphify ./src

# Query the graph
graphify query "what connects attention to the optimizer?"

# Add a paper
graphify add https://arxiv.org/abs/1706.03762

# Incremental update
graphify update ./src

# Auto-sync on file changes
graphify watch ./src

Key Features

• Tree-sitter AST for deterministic code structure extraction (classes, functions, imports, call graphs)
• Claude-powered semantic extraction from docs, papers, images
• Video/audio transcription via faster-whisper (runs locally)
• NetworkX graph with Leiden community detection clustering
• Confidence scores on inferred relationships
• 71.5x token reduction vs reading raw files
• Git hooks for automatic graph rebuild on commit