learning-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.
faq-generator
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.
book-chapter-generator
Designs the chapter structure for an intelligent textbook by analyzing the learning graph and concept dependencies. Use after the learning graph is complete and before generating chapter content.
course-description-analyzer
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.
glossary-generator
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.
microsim-generator
Creates interactive educational MicroSims, routing to the best-matched generator - p5.js, Chart.js, Plotly, Mermaid, vis-network, timelines, maps, Venn, causal-loop/feedback-loop diagrams (CLD), concept-classifier sorting quizzes, infographic overlays with callout labels, and Docker Python labs (runnable code blocks). Generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, and metadata.
quiz-generator
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.
reference-generator
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.
circuit-diagram-generator
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led-strip-pattern-generator
Generate MicroPython programs for the Moving Rainbow LED strip educational project using Raspberry Pi Pico with NeoPixel strips and button controls.
pi-keys-generator
This skill generates Python scripts and shell scripts to control RGB LEDs on the Raspberry Pi 500+ keyboard. Use this skill when the user asks to create keyboard lighting effects, animations, color patterns, notification systems, or any program that controls the Pi 500+ keyboard LEDs. This skill should be used for requests like "turn F1-F12 keys blue", "create a typing speed indicator", or "make an email notification effect".
learning-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.
book-installer
Installs and configures intelligent-textbook infrastructure - scaffold a brand-new MkDocs Material textbook (init textbook), install any of 40 features (math, mascot, learning graph viewer, Google Analytics GA4, custom 404, kanban board), and generate book metrics. Routes to the appropriate installation guide.
book-media-generator
Generates media for intelligent textbooks - slide decks and presentations (MARP web decks in docs/slides/ or PowerPoint .pptx lecture downloads), illustrated stories and graphic novels, fact-checked infographic posters, freely-licensed chapter images from Wikimedia and government archives, and audio (text-to-speech voiceovers, glossary pronounce buttons via ElevenLabs). Routes to the appropriate media guide.
book-publisher
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 guide.
chapter-content-generator
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.
docx-to-web-publisher
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.
microsim-utils
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 task needed.