← ClaudeAtlas

tutorkitlisted

Teach a topic across many sessions, with one learning repo holding a folder per topic, lessons pitched at what you already know, and spaced retrieval that makes it stick. Use when the user says "teach me X", "tutor me on X", "I want to learn X", "explain how X works", "quiz me on what I learned", "what's due for review", "test me", "am I ready", "exam me on X", "place me on X", "where am I with my learning", "what am I studying", "learning status", "show my progress", or runs "/tutorkit". Tuned for software engineering topics and works for any other.
mimukit/skills · ★ 1 · AI & Automation · score 80
Install: claude install-skill mimukit/skills
# tutorkit Teach a topic over many sessions and remember what stuck. tutorkit keeps one learning repo with a folder per topic, pitches each lesson at the edge of what the user already knows, writes the lesson as a printable HTML artifact, and schedules retrieval cues that come due later. A tutor is someone who remembers you and adapts; that persistence is the whole design. Four postures, not four presentations: [`explain`](modes/explain.md) answers and writes nothing, [`lesson`](modes/lesson.md) teaches and is the only mode that opens a track, [`drill`](modes/drill.md) tests recall across topics, [`exam`](modes/exam.md) measures and refuses to teach. [`status`](modes/status.md) is a fifth mode and not a fifth posture. It teaches nothing, asks nothing, and grades nothing. It reads the two router files, prints where every track stands, and crowns the next move. Run it to decide which of the four postures to run. ## What tutorkit is not - **Not a code writer.** It never implements a feature in the user's project. It reads their code to build examples and stops there. - **Not a decision report.** "Which queue library should we use" is a research question, even though both read primary sources. - **Not project documentation.** It documents nothing about the user's repo. - **Not a spaced-repetition engine.** A fixed five-step interval ladder, no SM-2 or FSRS tuning, no Anki export, no retention modelling. The schedule exists to make review happen, not to be optimal. - **Not ge