Accessibility audit and remediation for Canvas LMS courses. Scans content for WCAG-oriented issues, generates prioritized reports, guides fixes, and verifies remediation. Use when asked to "audit accessibility", "check WCAG", "fix accessibility issues", or "run accessibility review".
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Bulk grading workflows for Canvas LMS assignments using rubrics. Covers single grading, batch grading, and code execution strategies with safety-first dry runs.
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Scaffold complete Canvas LMS course structures from specs, templates, or existing courses. Creates modules, pages, assignments, and discussions in bulk. Use when asked to "build a course", "scaffold modules", "create course structure", "set up a new course", or "copy course structure".
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Learning designer quality check for Canvas LMS courses. Audits module structure, content completeness, publishing state, date consistency, and rubric coverage. Use when asked to "QC a course", "is this course ready", "pre-semester check", or "quality review".
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Discussion forum facilitator for Canvas LMS. Helps students and educators browse, read, reply to, and create discussion posts. Trigger phrases include "discussion posts", "reply to students", "check discussions", "forum participation", "post a discussion", or any discussion-related Canvas task.
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Educator morning course health check for Canvas LMS. Shows submission rates, struggling students, grade distribution, and upcoming deadlines. Trigger phrases include "morning check", "course status", "how are my students", or any start-of-day teaching review.
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Student weekly assignment planner for Canvas LMS. Shows all due dates, submission status, grades, and peer reviews across all courses. Use when a student says "what's due", "plan my week", "weekly check", or wants to organize their coursework.
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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.
Architect, execute, and iterate on AI evaluations using the Data-Task-Score framework. Treats evals as the modern, quantifiable version of a PRD. Use when the user asks to "build an eval," "improve model quality," "test an agent workflow," "quantify product intuition," "move beyond vibe checks," "measure AI output," "score LLM responses," "benchmark a prompt," or "set up evaluation infrastructure." Also triggers on phrases like "how do I know if this is working," "is the model getting better," or "eval-driven development.
Design and install validation hooks for coding agents (e.g., Claude Code) to make AI changes safer and more deterministic. Use when you want post-tool-use or stop hooks, automated tests/linters/formatters, parallel subagents with per-file validation, or a repeatable “agent pipeline” with audit logs.
Use when delegating OpenAI agent work across GPT-5.6 Sol, Terra, or Luna, especially for new task classes, parallel workers, independent review, model fallback, repeated failures, weak verification, or high-consequence operations.
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.
Design Canvas LMS assignments using evidence-based learning science principles from the Four Learning Design Pillars. Use when educators want to create pedagogically sound assignments, need help writing assignment descriptions with clear objectives, want rubric suggestions, or are creating quizzes/discussions/peer reviews. Integrates with canvas-mcp for direct Canvas creation.
Audit an entire Canvas LMS course against the Four Learning Design Pillars (Clear Structure, Active Content, Continuous Practice, Intuitive UX). Use when users want to evaluate course quality, identify improvement areas, or prepare for course redesign. Requires canvas-mcp server for course data access. Triggers on "audit course", "course review", "evaluate my course", or Canvas course IDs/codes.
Generate learning science-backed feedback templates for Canvas assignments. Use when educators need feedback templates for grading, want to create rubric comments, need encouraging feedback language aligned with Pillar 3 principles (targeted, encouraging, immediate), or want to set up SpeedGrader comment libraries. Works with canvas-mcp for bulk grading.
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)
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