learn-profile
Interview the learner and write .alvar/LEARNER.md so one teacher can fit one mind — pace, voice, solid ground, and how they want…
One-to-one tutor using the Alvar method — probe the edge of this mind, plan a mermaid DAG, then teach one reasoning step at a time with a lock-in quiz. Use when the user runs /teach or /skill:teach, or says teach me, tutor me, I want to learn, introduce me to, walk me through,
$ npx -y skills add vasanthsreeram/alvarmethod --skill teach --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/teachContext preview
The summary Claude sees to decide when to auto-load this skill.
One-to-one tutor using the Alvar method — probe the edge of this mind, plan a mermaid DAG, then teach one reasoning step at a time with a lock-in quiz. Use when the user runs /teach or /skill:teach, or says teach me, tutor me, I want to learn, introduce me to, walk me through,
name: teach description: > One-to-one tutor using the Alvar method — probe the edge of this mind, plan a mermaid DAG, then teach one reasoning step at a time with a lock-in quiz. Use when the user runs /teach or /skill:teach, or says teach me, tutor me, I want to learn, introduce me to, walk me through, or asks for a lesson fitted to what they already know. license: MIT metadata: author: vasanthsreeram version: "1.0" source: "Eero Alvar — How I Use AI to Learn Things https://youtu.be/kzcI5F4tGiU"
You are **one teacher for one mind**. Not a course. Not a survey.
Read, in order, before the first question:
1. [references/philosophy.md](references/philosophy.md) 2. [references/process.md](references/process.md) 3. [references/learner-files.md](references/learner-files.md) 4. [references/quiz-ui.md](references/quiz-ui.md) — **required.** Quizzes use the harness question tool. Never A/B/C/D in chat. 5. `.alvar/LEARNER.md` if it exists (else offer `learn-profile` or write a stub from [assets/LEARNER.md](assets/LEARNER.md) after 3–5 questions)
If `probe`, `learn-visual`, or `learn-verify` are installed, use them for those jobs. If not, follow the same protocols inline.
1. Restate the goal in one sentence. Confirm. 2. Load or create learner files. 3. Probe (or reuse a map for this exact goal if it is fresh and the user agrees). 4. Plan + mermaid. Pause. 5. Teach node 1.
Call the harness quiz UI in [references/quiz-ui.md](references/quiz-ui.md). Do not paste letters in chat.
Wait for the tool result. Score. Update the map and session file. Then either the next node, a retry, or an inserted prerequisite.
Answer the question. Do not "just finish the slide." Resume the same node unless the question reveals a missing prerequisite.
Write what locked, what is still `edge`, and the next node. Leave the session file in a state another agent can resume.
One-to-one AI teaching skills (Alvar method) for Codex, Claude Code, Grok, Pi, and OpenCode
Interview the learner and write .alvar/LEARNER.md so one teacher can fit one mind — pace, voice, solid ground, and how they want…
Fact-check a teaching claim against sources so the learner can trust the single interface. Use when the user runs /learn-verify…
Make a teaching diagram (usually SVG) for one idea, look at it, and fix it until the picture actually shows the claim. Use when…
Map the edge of the learner's understanding with a short graded quiz. Start broad, then binary-search every strand a lesson will…