claude-skills

Generates illustrated graphic novel narratives about scientists, mathematicians, and historical figures for intelligent textbooks, with image prompts for each panel. Use when adding historical-figure or case-study stories to a textbook's Stories section.

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.

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.

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.

Wires Google Analytics 4 into an MkDocs Material site — creates a GA4 property, writes the Measurement ID into mkdocs.yml, verifies the tag, and deploys. Use when adding analytics to a textbook for the first time.

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.

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.

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.

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.

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.

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.

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 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 with relevance descriptions, stored in chapter references.md files. Use when an intelligent textbook chapter needs citations.

Adds freely-licensed maps and photos to textbook chapters by sourcing from Wikimedia Commons and US government archives, then inserting them with captions and proper attribution.

Generates slide decks in the MARP (Markdown Presentation Ecosystem) format and publishes them as live, embeddable presentations on an MkDocs Material site. Use this skill whenever the user wants to turn a topic, description, or existing chapter/document into a presentation, slide deck, or set of slides — trigger on phrases like "make a slide deck", "turn this chapter into a presentation", "create slides for X", "I need to present this", "build a deck about Y", or "add a presentation to the site", even if the user never says "MARP" by name. Produces a self-contained docs/slides/<deck-name>/ directory (MARP source, exported HTML, thumbnail, documentation page), adds the deck to the docs/slides/index.md gallery, and updates mkdocs.yml nav.

Generate an MP3 pronunciation of a glossary term using ElevenLabs TTS API and insert a "Pronounce" button into the term's entry in a markdown file. Trigger when the user says "Create a pronounce button for the term X" or "Add pronunciation for X". Defaults to glossary.md if no file is specified.

Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 70+ languages.

Generates a lecture PowerPoint from an intelligent textbook using pptxgenjs — visual design, 4-act storytelling structure, and speaker notes. Use when converting a textbook into slides for classroom delivery.

Generates fact-checked infographic posters by verifying every statistic against peer-reviewed sources before producing the image prompt. Use for any poster or infographic containing numeric claims or cited data; skip for purely decorative images.

Generates a LinkedIn post announcing an intelligent textbook milestone by pulling book metrics, chapter count, and key statistics. Use when announcing textbook completion or major content milestones on social media.

Generates a 13-slide LinkedIn carousel (a "document post" — PPTX/PDF) that showcases an intelligent textbook's key features, with real screenshots, mascot art, and metrics pulled from the project. Use when the user wants a LinkedIn slideshow/carousel/document post for a textbook, as opposed to linkedin-announcement-generator which produces post *text* only.

Generates an AP-style press release for an intelligent textbook or course milestone — headline, lead, attributed quotes, boilerplate, and media-contact block. Use when pitching to journalists or education trade press; distinct from linkedin-announcement-generator (social post) and readme-generator (GitHub docs).

Creates or updates the GitHub README for a textbook project with badges, project overview, site metrics, and getting-started instructions.

Scaffolds a new intelligent textbook project from scratch — mkdocs.yml, docs/ directory tree, starter pages, and license files. Use at the very start of a new project, before chapters, learning graph, or MicroSims exist.

Generates a status report of all diagrams and MicroSims across an intelligent textbook's chapters, including difficulty, Bloom's level, and UI complexity. Use to audit visualization coverage before a content review.

Generates an interactive diagram MicroSim with numbered callout markers or rectangular zones over a scientific illustration, supporting explore, quiz, and edit modes. Use for anatomy diagrams, labeled components, or comparison posters needing interactive annotations.

Creates interactive causal-loop diagram (CLD) articles for MkDocs Material sites. Use when the user wants to visualize feedback loops, systems archetypes (reinforcing/balancing loops, limits to growth, tragedy of the commons), or any topic with competing runaway and stabilizing dynamics. Produces vis-network diagrams — not static images or Mermaid.

Creates a p5.js MicroSim where students read scenarios and sort them into the correct category. Use for any subject where learners need to recognize patterns, identify types, or categorize examples.

Generates an interactive Docker Python lab block for MkDocs textbook pages, where students write and run real Python code inside an isolated Docker container. Use this skill whenever someone asks to add a Python lab, code runner, interactive Python exercise, or runnable code block to a textbook page that uses Docker (not Skulpt). Also use it when adding multiple labs to a single page, setting up the shared CSS/JS infrastructure, or creating a timing/benchmark lab that shows students how long each phase takes. Always invoke this skill instead of writing docker lab HTML by hand.

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.