Publishes and promotes a finished intelligent textbook - GitHub README with badges and site statistics, LinkedIn announcement posts, LinkedIn carousel document posts (PPTX/PDF slideshows), and AP-style press releases. Use when announcing a book milestone or updating repository documentation. Routes to the appropriate…
Generates detailed chapter content for an intelligent textbook — text, diagrams, MicroSims, and exercises at the appropriate Bloom's level. Use when a chapter's index.md exists with title, summary, and concept list.
Validates or creates a course description for an intelligent textbook, scoring completeness against required elements (title, audience, prerequisites, topics, Bloom's Taxonomy outcomes). Use before running the learning-graph-generator.
Converts .docx files (papers, briefs, reports) into styled React component pages in a Next.js content-catalog site. Use when publishing a Word document as a structured web page.
Generates a FAQ set for an intelligent textbook from course content, learning graph, and glossary terms. Use after the learning graph and glossary exist and at least 30% of chapters are written.
Generates a glossary from the learning graph's concept list with ISO 11179-compliant definitions (precise, concise, non-circular). Use after the learning graph concept list is finalized.
Generates a comprehensive learning graph from a course description, including 300-600 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.
Utility tools for MicroSim management including quality validation, screenshot capture, icon management, index page generation, iframe height synchronization, iframe control-visibility testing, visual layout review, and diagram/MicroSim coverage reports across chapters. Routes to the appropriate utility based on the…
Generates multiple-choice quiz questions for each chapter, aligned to the learning graph and distributed across Bloom's Taxonomy levels. Use after chapter content and the learning graph both exist.
Generates 10 curated academic references per chapter, prioritizing Wikipedia plus credited textbook authors known for innovative explanations, with relevance descriptions, stored in chapter references.md files. Use when an intelligent textbook chapter needs citations.
AGENTS.md instructions for dmccreary/learning-graphs, covering agents.md, project overview, common development commands, mkdocs site building and build the static site (outputs to site/).
Claude Code instructions for dmccreary/learning-graphs, covering claude.md, project overview, common development commands, mkdocs site building and build the static site (outputs to site/).