init-textbook
init-textbook
Purpose
This skill drops a complete, sensible default scaffold into an empty (or
nearly empty) project directory so the user can run mkdocs serve and see a
working intelligent textbook within minutes. The scaffold matches the
consensus pattern across our recent textbooks (cybersecurity, networking,
information-systems, ancient-history, statistics-course, token-efficiency,
quantum-computing, world-history, intelligent-textbooks, book-mascots) so the
project starts from the same baseline as everything else in the workspace.
More from dmccreary/claude-skills
readme-generator
This skill creates or updates a README.md file in the GitHub home directory of the current project. The README.md file it generates will conform to GitHub best practices, including badges, project overview, site metrics, getting started instructions, and comprehensive documentation.
190quiz-generator
This skill generates interactive multiple-choice quizzes for each chapter of an intelligent textbook, with questions aligned to specific concepts from the learning graph and distributed across Bloom's Taxonomy cognitive levels to assess student understanding effectively. Uses serial execution (one agent) for token efficiency. Use this skill after chapter content has been written and the learning graph exists.
85story-generator
This skill generates graphic novel narratives about scientists, mathematicians, engineers, inventors, and other historical figures in science and technology, designed for intelligent textbooks. It creates compelling, historically accurate 12-panel stories with embedded image prompts and can also generate the panel images automatically via the Google Gemini API. Use this skill when the user wants to add a new historical-figure story to a textbook's Stories section, or when creating educational graphic novel content. Also use this skill when the user says "give me some ideas for graphic-novel stories" to generate a curated list of story ideas tailored to the textbook's subject matter.
51learning-graph-generator
Generates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.
44faq-generator
This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understand common questions and prepare content for chatbot integration. Use this skill after course description, learning graph, glossary, and at least 30% of chapter content exist.
43chapter-content-generator
This skill generates comprehensive chapter content for intelligent textbooks after the book-chapter-generator skill has created the chapter structure. Use this skill when a chapter index.md file exists with title, summary, and concept list, and detailed educational content needs to be generated at the appropriate reading level with rich non-text elements including diagrams, infographics, and MicroSims. (project, gitignored)
39