Deeptutor Claude Skill

DeepTutor Skill for Claude Code

A Claude Code skill that brings [DeepTutor](https://github.com/HKUDS/DeepTutor)'s graph-enhanced RAG tutoring methodology to your terminal. Transform documents (PDFs, textbooks, papers) into interactive tutoring sessions with knowledge graphs, dual-loop problem solving, deep research, and adaptive question generation.

Credits & Attribution

This skill is a **Hybrid Claude-Native adaptation** of [DeepTutor](https://github.com/HKUDS/DeepTutor) by the [HKU Data Science Lab (HKUDS)](https://github.com/HKUDS).

The original DeepTutor is a full-stack AI tutoring platform (FastAPI + Next.js) with 6 agent systems. This skill adapts its **methodology and pedagogical patterns** -- not its code -- into a lightweight Claude Code skill that leverages Claude's native reasoning capabilities.

**Key patterns adapted from DeepTutor:**

• Dual-loop problem solving (Analysis Loop + Solve Loop)
• Graph-enhanced RAG retrieval (entity-relationship knowledge graphs)
• Investigate Agent's precision query methodology
• Research pipeline with topic decomposition
• Difficulty-calibrated question generation
• Citation-driven answering

If you use this in academic or professional work, please cite the original DeepTutor project:

@software{deeptutor,
  author = {HKUDS},
  title = {DeepTutor: AI-Powered Personalized Learning Assistant},
  url = {https://github.com/HKUDS/DeepTutor},
  year = {2024}
}

What It Does

Workflow	Description
Initialize KB	Process a document into chunks + knowledge graph
Dual-Loop Solve	Analysis (gather context) then Solve (step-by-step reasoning)
Generate Questions	Practice questions calibrated by difficulty
Deep Research	Multi-section academic reports with citations
Guided Learning	Prerequisite-aware step-by-step teaching
KB Management	List, inspect, explore, delete knowledge bases

Installation

Quick Install

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