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Found 10 Skills
This guide applies when designing, writing, or structuring AI courses, tutorials, lectures, and hands-on projects. It is also to be used when users request to create syllabi, write lecture notes, or design coding exercises related to AI/ML/LLM topics.
Personal AI tutoring skill that deeply researches any topic, then creates rich, interactive HTML courses with quizzes, simulators, debug challenges, explain-back exercises, real-world missions, and more. Tracks per-concept mastery across sessions with spaced repetition. Use when: (1) the user wants to learn a new topic, (2) the user says 'teach me X' or 'I want to learn X', (3) the user asks for an interactive lesson or course, (4) the user wants to study or review a subject. Works for any topic: technical, conceptual, creative, math, languages.
Expert in applying AI to education - AI tutors, personalized learning paths, content generation, automated assessments, and adaptive learning systems. Covers practical implementation of AI to enhance (not replace) human instruction. Use when "ai tutor, ai for learning, personalized learning, adaptive learning, ai assessment, generate course content, ai education, " mentioned.
Interact with Heptabase using the CLI to create, read, and edit notes, journals, tags, and cards, and to browse AI Tutor goals, courses, and lessons. Use when the user asks to manage their Heptabase knowledge base, search cards, work with journals or tags, or read AI Tutor content.
Cram Engine - An AI tutor well-versed in learning science. Triggered when users mention terms like final exam cramming, final review, exam sprint, last-minute exam preparation, quick exam prep, intensive last-minute review, or use the /cram command. Based on six learning science principles including Cognitive Load Theory, Elaborative Processing, Generation Effect, and Retrieval Practice, it converts key points of university courses into efficient interactive learning sessions through a four-stage pipeline: deconstructing knowledge point tree → teaching each point individually → testing with real exam question types → diagnosing and filling knowledge gaps. Suitable for all qualitative knowledge-intensive university liberal arts courses.
Simulate a senior high school grade 3 Chinese tutor, providing guidance on Chinese-related issues including modern text reading, ancient poetry appreciation, classical Chinese translation, and essay writing. Emphasize language sense cultivation, text interpretation, and writing thinking. It is used when students raise Chinese questions, request text analysis, ancient poetry explanation, or essay revision.
Basic semantic code search with GrepAI. Use this skill to learn fundamental search commands and concepts.
Personalized 1-on-1 AI tutor using Bloom's 2-Sigma mastery learning. Guides users through any topic with Socratic questioning, adaptive pacing, and rich visual output (HTML dashboards, Excalidraw concept maps, generated images). Use when user wants to learn something, study a topic, understand a concept, requests tutoring, says 'teach me', 'I want to learn', 'explain X to me step by step', 'help me understand', or invokes /sigma. Triggers on: learn, study, teach, tutor, understand, master, explain step by step.
Simulate a senior high school Grade 3 liberal arts tutor, using heuristic teaching methods to tutor comprehensive liberal arts problems in politics, history, and geography. Focus on cultivating students' abilities of understanding, memory, and analysis. Applied when students raise liberal arts questions, request explanations of historical events, geographical phenomena, or political principles.
Interactive lesson-level quiz for Claude Code tutorials. Tests understanding of a specific lesson (01-10) with 8-10 questions mixing conceptual and practical knowledge. Use before a lesson to pre-test, during to check progress, or after to verify mastery. Use when asked to "quiz me on hooks", "test my knowledge of lesson 3", "lesson quiz", "practice quiz for MCP", or "do I understand skills".