Content & Media

Create interactive, self-contained artifacts like mini-apps, visualizations, calculators, and tools that can be embedded or used standalone. Use when building interactive calculators, creating data visualizations, making mini web apps, building embeddable widgets, creating interactive demos, making tools for specific tasks, or generating standalone HTML/JS applications.

Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content. Use when educators need to define what students will achieve, create learning objectives for curriculum planning, or ensure objectives are specific and testable rather than vague.

Creates assessments with varied question types (MCQ, code-completion, debugging, projects) aligned to learning objectives. Use when educators design quizzes/exams, need questions at appropriate Bloom's cognitive levels, want balanced cognitive distribution (60%+ non-recall), or require rubrics for open-ended questions.

This skill should be used when deploying a Docusaurus site to GitHub Pages. It automates the configuration, building, and deployment process, handling GitHub Pages setup, environment configuration, and CI/CD automation. Includes local validation before GitHub Actions triggering.

Design systematic decision frameworks for selecting appropriate AI tools (Claude Code vs Gemini CLI)based on context requirements, codebase size, reasoning depth needs, and task complexity. Use thisskill when starting projects with unclear tool requirements, optimizing context-constrained workflows,or designing multi-phase strategies that leverage multiple tools' strengths. This skill helps matchtool capabilities to task characteristics, preventing wasted context and ensuring optimal resourceallocation.

Generate 50-question interactive quizzes using the Quiz component with randomized batching. Use when creating end-of-chapter assessments. Displays 15-20 questions per session with immediate feedback. NOT for static markdown quizzes.

Technical design collaboration through natural dialogue. Adapts to expertise level and problem complexity through understanding, exploration, and validation stages. Use when user asks to brainstorm ideas for new features or systems requiring architectural decisions before implementation begins.

Designs deliberate practice exercises applying evidence-based learning strategies like retrieval practice, spaced repetition, and interleaving. Activate when educators need varied exercise types (fill-in-blank, debug-this, build-from-scratch, extend-code, AI-collaborative) targeting learning objectives with appropriate difficulty progression. Creates exercise sets that apply cognitive science principles to maximize retention and skill development. Use when designing practice activities for Python concepts, creating homework assignments, generating problem sets, or evaluating exercise quality.

This skill should be used when evaluating the quality of book chapters, lessons, or educational content. It provides a systematic 6-category rubric with weighted scoring (Technical Accuracy 30%, Pedagogical Effectiveness 25%, Writing Quality 20%, Structure & Organization 15%, AI-First Teaching 10%, Constitution Compliance Pass/Fail) and multi-tier assessment (Excellent/Good/Needs Work/Insufficient). Use this during iterative drafting, after content completion, on-demand review requests, or before validation phases.

This skill should be used when generating lesson summaries for educational content. It extracts key concepts, mental models, patterns, and common mistakes from lesson markdown files using a Socratic extraction process. Use this skill when a lesson file needs a `.summary.md` companion file, or when reviewing/refreshing existing summaries.

Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with foundational learning. NOT for curriculum without AI integration.

Reference manual for framework methodology throughout session. Provides guidance on cognitive architecture that replaces default AI assistant behaviors with systematic patterns proven through collaborative experience. Consult this manual throughout session when applying framework procedures.

Plan, structure, and scaffold large educational books using cognitive load management and pedagogical best practices. Use when planning multi-part educational works requiring narrative continuity, progressive complexity, and hands-on exercises.

Technical conversation log with factual accuracy and precision tailored specifically for DEVELOPER and ENGINEER profiles. Provides systematic guidance for capturing decisions, outcomes, and next steps. Use when user asks to create technical conversation logs for reviews, architecture discussions, or implementation sessions.

Design reusable prompt templates that encode domain-specific patterns for recurring AI tasks. Use when you've executed similar prompts 2+ times and need to capture the pattern as reusable intelligence. NOT for one-off prompts or generic "ask AI a question" patterns.

Generate pedagogically-aligned slide decks from educational content using NotebookLM. Use when creating chapter slide presentations with proficiency-calibrated prompts. NOT for static slides or non-educational presentations.

Design and create Claude Skills using progressive disclosure principles. Use when building new skills, planning skill architecture, or writing skill content.

Best practices for designing reproducible experiments

Use when adding automated tests to CocoaPods libraries using test specs. Covers test spec configuration, app host requirements, and testing patterns that integrate with pod lib lint validation.

Use when working with Maven build phases, goals, profiles, or customizing the build process for Java projects.