Research-based learning tutor with citation-grounded teaching
Admin access level
Server config contains admin-level keywords
Requires secrets
Needs API keys or credentials to function
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Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
A Claude Code plugin that teaches any subject using only retrieved, cited sources — never parametric knowledge.
Instead of teaching from training data (which can hallucinate), this plugin:
This is not a cheerful tutor. It is a cold researcher and strict professor:
# From GitHub
claude --plugin-dir /path/to/research-learning-tutor
On first session, dependencies (Python + Node.js) install automatically via SessionStart hook.
You will be prompted for:
/learn transformer attention mechanism
The plugin will:
All Python/Node.js packages install automatically.
Adapted from:
MIT
npx claudepluginhub noelclay/academic-research-mcp-pluginA personal AI tutor based on Bloom's 2-sigma research: it generates a structured syllabus, teaches one adaptive lesson at a time, and tailors each next lesson to the learner's highlights and feedback. Bundles the bloom-tutor tutoring skill plus six learn-* learning-method skills.
Li-EvanAdaptive tutor skill with 10 teaching modes, active teaching tools, and a browser-based visual companion — runs code, creates exercises, generates interactive diagrams, quizzes, and walkthroughs. Makes Claude act as an interactive coach for learning any subject.
JEFF7712Interactive learning companion — creates personalized learning plans, quizzes with adaptive difficulty, and tracks progress across sessions
kirilxdUniversal research framework with conversational intent analysis - works for any field
hongswTeach Claude ANY topic - code libraries, APIs, concepts, tools, methodologies, or domains. Researches via web and docs, then retains knowledge as a permanent skill.
aviz85Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
upstash