GraphifyKnowledge Graph Skill for AI Coding Assistants

Turn any folder of code, docs, papers, images, or videos into a queryable knowledge graph. 71.5x fewer tokens per query.

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Quick Reference

GitHub

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Multi-Modal Input

Code, PDFs, Markdown, screenshots, diagrams, whiteboard photos, images, video and audio files — Graphify extracts concepts and relationships from all of it.

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25 Languages via AST

Python, JS, TS, Go, Rust, Java, C, C++, Ruby, C#, Kotlin, Scala, PHP, Swift, Lua, Zig, PowerShell, Elixir, Vue, Svelte, Dart, and more — all via Tree-sitter.

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Always-On Integration

Install platform hooks once. Claude Code, Codex, Cursor, and Gemini CLI automatically consult the knowledge graph before answering architecture questions.

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71.5x Token Savings

On 52 mixed files, Graphify achieves 71.5x fewer tokens per query vs reading raw files. Savings compound across sessions since the graph persists.

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Privacy First

Code analyzed via tree-sitter AST locally. Video/audio transcribed locally with faster-whisper. No telemetry or usage tracking.

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Team Ready

Commit graphify-out/ once. The whole team gets graph context immediately. Git hooks keep it current automatically.