Dan Mccreary Skills

Claude Skills for Intelligent Textbooks

[](https://www.mkdocs.org/) [](https://squidfunk.github.io/mkdocs-material/) [](https://dmccreary.github.io/claude-skills/) [](https://github.com/dmccreary/claude-skills) [](https://claude.ai/code) [](https://github.com/dmccreary/claude-skills) [](https://p5js.org/) [](https://www.python.org/) [](https://creativecommons.org/licenses/by-nc-sa/4.0/)

View the Live Site

Visit the interactive documentation at: [https://dmccreary.github.io/claude-skills/](https://dmccreary.github.io/claude-skills/)

Overview

**Claude Skills for Intelligent Textbooks** is a comprehensive collection of AI-powered skills and workflows designed to revolutionize educational content creation. Built with Claude AI and optimized for intelligent textbook development, this repository provides educators and content creators with powerful tools to generate interactive, standards-based educational materials at scale.

This project enables the creation of **Level 2+ intelligent textbooks** using MkDocs with the Material theme, incorporating learning graphs, concept dependencies, interactive p5.js simulations (MicroSims), and AI-assisted content generation. Every skill follows educational best practices including Bloom's Taxonomy (2001 revision) for learning outcomes, ISO 11179 standards for terminology definitions, and concept dependency graphs to ensure proper prerequisite sequencing.

Whether you're an educator building course materials, a technical writer creating documentation, or a developer interested in educational technology, these Claude skills provide a systematic, AI-powered approach to creating comprehensive, interactive educational content. The skills can generate everything from foundational learning graphs with 200+ concepts to interactive quizzes, glossaries, FAQs, and engaging simulations—all following rigorous quality standards.

Site Status and Metrics

Metric	Count
Concepts in Learning Graph	200

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