Content & Media

Research topics thoroughly and write comprehensive, well-structured content including articles, documentation, blog posts, and technical writing with proper citations and sources. Use when writing blog posts, creating technical articles, researching topics, gathering sources, writing documentation, creating educational content, or producing research-backed content.

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.

ALWAYS generate interactive quizzes using the Quiz component (50 comprehensive questions total).Generates 50 college-level conceptual questions with immediate feedback per question.Quiz component automatically displays 15-20 questions per batch, randomized each retake.Features: immediate feedback after each answer (correct option + explanation + why wrong if incorrect),automatic batch shuffling on retake, no passing/failing threshold, color-coded feedback,theme support. Globally-registered Quiz component handles all UI/UX.Follows ##_chapter_##_quiz.md naming convention.INCLUDES: Automated answer redistribution with intelligent explanation regeneration (consolidates quiz-answer-redistributor functionality).

Creates assessments with varied question types (MCQ, code-completion, debugging, projects) alignedto learning objectives with meaningful distractors based on common misconceptions. Activate wheneducators design quizzes, exams, or tests measuring understanding; need questions at appropriatecognitive levels (Bloom's taxonomy); want balanced cognitive distribution (60%+ non-recall); orrequire rubrics for open-ended questions. Generates MCQs with diagnostic distractors, code-writingprompts, debugging challenges, and project-based assessments targeting deep understanding.

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.

Generate measurable learning outcomes aligned with Bloom's taxonomy and CEFR proficiency levels for educational content.Use this skill when educators need to define what students will achieve, create learning objectivesfor curriculum planning, or ensure objectives are specific and testable rather than vague.This skill helps break down complex topics into progressively building learning goals with clearassessment methods and success criteria.

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.

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 learning experiences for AI-native software development, integrating the Three Roles Framework (AI as Teacher/Student/Co-Worker), co-learning partnership pedagogy, and "Specs Are the New Syntax" paradigm into programming curriculum. Use this skill when educators need to prepare students for professional AI-driven development workflows, teach effective specification-first collaboration, or balance AI assistance with foundational learning goals. This skill helps create lessons that leverageAI tools appropriately while ensuring students build independent capability, bidirectional learningpatterns, and ethical AI use practices. Aligned with Constitution v4.0.1.

This skill should be used when generating pedagogically-aligned slide decks from educational content using NotebookLM. It addresses the convergence toward generic, text-heavy slides by providing structured prompts that create engaging, proficiency-appropriate presentations aligned with specific educational frameworks.

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

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,just-in-time specification, and pedagogical best practices. Use this skill when planningmulti-part, multi-chapter educational works that require narrative continuity, progressivecomplexity, and hands-on exercises. This skill helps create cohesive learning journeysthat balance foundational scaffolding with advanced independence. Activate when tasksinvolve structuring books, managing cognitive load across chapters, defining part-levelnarratives, or coordinating multi-phase content development workflows.

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 development tasks.Use this skill when you've executed similar prompts 2+ times and need to capture the pattern as reusableintelligence. Transforms one-off prompts into parameterized templates that maintain quality while reducingcognitive load. Helps students move from Layer 2 (AI Collaboration) to Layer 3 (Intelligence Design) inthe 4-Layer Teaching Method.

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

Use when pylint checkers including built-in checkers, custom checkers, and checker development.

Use when setting up monorepo tooling, optimizing builds, or migrating between tools with Turborepo, Nx, Bazel, Lerna for efficient task running, caching, and code generation.