claude-skills

Load for ANY bug-fix task — code, UI/UX, content, docs, accessibility, or workflow. Reproduce → isolate → fix → prevent cycle with real-session patterns. GEPA-evolved from 353 real Claude Code session bugfixes (+31pp holdout).

Generate Canvas-ready HTML pages and assignments for BADM 350 Technology & AI Strategy course. Use when building weekly module content from markdown lesson plans, creating "Start Here" pages with Tuesday/Thursday session structure, or generating assignment HTML with rubrics. Triggers on requests to "build Canvas content", "create week X page", or "generate assignment for BADM 350".

This skill generates a structured chapter outline for intelligent textbooks by analyzing course descriptions, learning graphs, and concept dependencies. Use this skill after the learning graph has been created and before generating chapter content, to design an optimal chapter structure that respects concept dependencies and distributes content evenly across 6-20 chapters.

This skill generates comprehensive metrics reports for intelligent textbooks built with MkDocs Material, analyzing chapters, concepts, glossary terms, FAQs, quiz questions, diagrams, equations, MicroSims, word counts, and links. Use this skill when working with an intelligent textbook project that needs quantitative analysis of its content, typically after significant content development or for project status reporting. The skill creates two markdown files - book-metrics.md with overall statistics and chapter-metrics.md with per-chapter breakdowns - in the docs/learning-graph/ directory.

This skill generates interactive Chart.js bubble chart visualizations for priority matrices and multi-dimensional data analysis. Use this skill when users need to create scatter plots with variable bubble sizes, particularly for 2x2 priority matrices (Impact vs Effort, Risk vs Value, etc.), portfolio analysis, or any visualization comparing items across two dimensions with a third dimension represented by size. The skill creates a complete MicroSim package with HTML, CSS, and documentation.

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)

This skill generates interactive Chart.js visualizations for use in iframes using any chart type supported by the library (line, bar, pie, doughnut, radar, polar area, bubble, scatter). Use this skill when users need to create data visualizations for educational content, reports, or dashboards. The skill creates complete MicroSim packages with HTML, CSS, and documentation.

Apply the codebase singularity approach: reliable codebase understanding and change with a repeatable workflow, guardrails, and verification gates. Use for repo work (feature, bugfix, refactor, migration) when you need high trust, minimal diffs, and explicit validation and exit criteria.

Create an interactive classification quiz MicroSim using p5.js where students read scenarios and classify them into the correct category from multiple choice options. Uses a data.json file for easy question editing. Ideal for teaching students to recognize patterns, identify types, or categorize examples across any subject domain.

This skill analyzes or creates course descriptions for intelligent textbooks by checking for completeness of required elements (title, audience, prerequisites, topics, Bloom's Taxonomy outcomes) and providing quality scores with improvement suggestions. Use this skill when working with course descriptions in /docs/course-description.md that need validation or creation for learning graph generation.

Convert a course outline into a fully fleshed out intelligent textbook. Use when: (1) User provides a URL containing a course outline/syllabus (2) User asks to "generate a course" or "create a textbook" from an outline (3) User wants to expand a course description into full learning materials Generates: learning graph, chapter structure, MicroSim specifications, quizzes, glossary, and FAQ following the intelligent textbooks framework and evidence-based learning design principles.

This skill generates comprehensive diagram and MicroSim reports for the geometry course by analyzing chapter markdown files and creating table and detail reports. Use this skill when working with an intelligent textbook (specifically geometry-course) that needs updated visualization of all diagrams and MicroSims across chapters, including their status, difficulty, Bloom's Taxonomy levels, and UI complexity.

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.

This skill automatically generates a comprehensive glossary of terms from a learning graph's concept list, ensuring each definition follows ISO 11179 metadata registry standards (precise, concise, distinct, non-circular, and free of business rules). Use this skill when creating a glossary for an intelligent textbook after the learning graph concept list has been finalized.

This skill generates an interactive infographic visualization using p5.js that read vis-network compatible JSON data. Use this skill when creating educational infographics with nodes, edges, and hover interactions where users can explore relationships between concepts. Each infographic displays shapes with labels, shows tooltips on hover, and displays detailed descriptions in a control panel below the drawing area. The nodes are placed in absolute coordinates. The output is not a responsive design.

This skill installs an interactive learning graph viewer application into an intelligent textbook project. Use this skill when working with a textbook that has a learning-graph.json file and needs a visual, interactive graph exploration tool with search, filtering, and statistics capabilities.

This skill installs a complete Claude Code skill tracking system using hooks to automatically log skill usage, execution duration, token usage, and user prompts for later analysis. Use this skill when setting up activity tracking in a Claude Code project to identify patterns, monitor costs, and discover opportunities for new skills.

Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.

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.

This skill generates interactive maps using the Leaflet JavaScript library. Use this skill when users need to create geographic visualizations, location-based data displays, or interactive maps for educational textbooks. The skill creates complete MicroSim packages with HTML, CSS, and documentation, optimized for iframe embedding in narrow MkDocs pages with navbar and TOC.

This skill generates interactive mathematical function plots using Plotly.js for iframe embedding in intelligent textbooks. Creates visualizations with hover tooltips, interactive sliders to move points along curves, responsive design optimized for narrow layouts, and comprehensive educational documentation. Use this when users request plotting mathematical functions, graphing equations, visualizing f(x), or creating interactive function explorers for calculus, precalculus, physics, or engineering courses.

This skill generates interactive workflow diagrams using the Mermaid JavaScript library for placement in a narrow region of a textbook using an iframe. Use this skill when users request creating flowcharts, process diagrams, workflow visualizations, or decision trees for educational textbooks. The skill creates MicroSim packages with standalone HTML files featuring colorful backgrounds, 16-point fonts, and top-down rendering by default, saved to /docs/sims/ following the MicroSim pattern.

This skill analyzes diagram, chart, or simulation specifications and returns a ranked list of the most suitable MicroSim generator skills to use. It compares the specification against capabilities of all available microsim generators (p5.js, ChartJS, Plotly, Mermaid, vis-network, timeline, map, Venn, bubble) and provides match scores (0-100) with detailed reasoning for each recommendation. Use this skill when a user has a diagram specification and needs guidance on which MicroSim generator skill to use.

Create an interactive educational MicroSim using the p5.js JavaScript library with distinct regions for drawing and interactive controls. Each MicroSim is a directory located in the /docs/sims folder. It has a main.html file that references the javascript code and the main.html can be referenced as an iframe from the index.md. The metadata.json contains Dublin core metadata about the MicroSim.

This skill automates the capture of high-quality screenshots for MicroSim visualizations using Chrome headless mode. Use this skill when working with MicroSims that need preview images for social media sharing, documentation, or quality assessment. The skill handles JavaScript-heavy visualizations that require proper rendering time and external CDN resources.

This skill standardizes MicroSim directories by validating structure, metadata, documentation, and required components against a comprehensive quality checklist. Use this when auditing or upgrading a MicroSim to ensure it meets all documentation and structural standards, including index.md formatting, metadata.json validation, iframe embeds, and p5.js editor links.

Utility tools for MicroSim management including quality validation, screenshot capture, icon management, and index page generation. Routes to the appropriate utility based on the task needed.

Generate MicroPython programs for the Moving Rainbow LED strip educational project using Raspberry Pi Pico with NeoPixel strips and button controls.

Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports. Provides comprehensive support for all stages from planning to final polish.

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. Use this skill after chapter content has been written and the learning graph exists.

This skill generates curated, verified reference lists for textbooks with level-appropriate resources (10 for junior-high, 20 for senior-high, 30 for college, 40 for graduate). References are formatted with links, publication details, and relevance descriptions. Use this skill when working with intelligent textbooks that need academic references, either book-level or chapter-level.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Use when user says "let's get started", "where are we", or at beginning of a session. Reads project context from CLAUDE.md, checks git status and recent commits, and provides orientation for the session. Works across all repo types (code, research, mixed).

This skill generates interactive timeline visualizations using the vis-timeline JavaScript library. Use this skill when users need to create historical timelines, project timelines, event sequences, or any chronological data visualization with optional category filtering. The skill creates a complete MicroSim package with HTML, CSS, JSON data, and documentation.

This skill generates interactive Venn diagram visualizations using the venn.js JavaScript library. Use this skill when users request creating Venn diagrams, set visualizations, overlap diagrams, or comparison charts for educational textbooks. The skill creates complete MicroSim packages with standalone HTML files featuring colorful circles, clear labels, and interactive tooltips, saved to /docs/sims/ following the MicroSim pattern.

Create an educational MicroSim using the vis-network JavaScript library. Each MicroSim is a directory located in the /docs/sims folder. It has a main.html file that can be referenced with an iframe. The main.html file imports the main JavaScript code to run the educational MicroSim.

Use when user says "let's wrap up", "close shop", "done for today", or wants to end a session. Handles session wrap-up including git operations, documentation updates, roadmap updates, and preparing for next session. Works across all repo types.

Write newsletter articles for The Hybrid Builder (chatwithgpt.substack.com) with intelligent cross-referencing of the full article archive. Includes sitemap-based article cache with theme indexing, reference suggestions, session transcript export, and cover image generation. Use when asked to write a blog post, article, or newsletter about a collaboration or technical topic.

Production-grade text search algorithms for finding and matching text in large documents with millisecond performance. Includes Boyer-Moore search, n-gram similarity, fuzzy matching, and intelligent indexing. Use when building search features for large documents, finding quotes with imperfect matches, implementing fuzzy search, or need character-level precision.

A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating AI/LLM APIs, need automatic fallback when models are overloaded, want type-safe structured responses, or building features requiring reliable AI generation.