learn-verify
Fact-check a teaching claim against sources so the learner can trust the single interface. Use when the user runs /learn-verify…
Interview the learner and write .alvar/LEARNER.md so one teacher can fit one mind — pace, voice, solid ground, and how they want to struggle. Use when the user runs /learn-profile or /skill:learn-profile, or says how I learn, learning philosophy, teaching style, set up tutoring,
$ npx -y skills add vasanthsreeram/alvarmethod --skill learn-profile --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/learn-profileContext preview
The summary Claude sees to decide when to auto-load this skill.
Interview the learner and write .alvar/LEARNER.md so one teacher can fit one mind — pace, voice, solid ground, and how they want to struggle. Use when the user runs /learn-profile or /skill:learn-profile, or says how I learn, learning philosophy, teaching style, set up tutoring,
name: learn-profile description: > Interview the learner and write .alvar/LEARNER.md so one teacher can fit one mind — pace, voice, solid ground, and how they want to struggle. Use when the user runs /learn-profile or /skill:learn-profile, or says how I learn, learning philosophy, teaching style, set up tutoring, or install my learning preferences. license: MIT metadata: author: vasanthsreeram version: "1.0" source: "Eero Alvar — How I Use AI to Learn Things https://youtu.be/kzcI5F4tGiU"
Install **how this mind wants to be taught**. The file is the teacher. Do not cram style rules into every later prompt.
1. **Solid ground** — what they already hold thoroughly (subjects, notations). 2. **Goal** — what "done" looks like for the next stretch. 3. **Pace** — default is one reasoning step, then a quiz. Only change if they insist. 4. **Struggle** — they keep the hard thinking; you keep logistics. Ask what kind of problems they want. 5. **Voice** — density, tone, hated LLM habits, language. 6. **Artifacts** — Obsidian / markdown / no files.
Do not ask all six in one message. 2–3 questions per turn, through the harness quiz UI in [../teach/references/quiz-ui.md](../teach/references/quiz-ui.md) — not as a markdown list.
Create `.alvar/LEARNER.md` from [assets/LEARNER.md](assets/LEARNER.md). Use their words where you can. Do not invent hobbies or a persona.
If a file already exists, show a diff of proposed edits and wait.
Show the file. Tell them `teach` will read it every session. Offer to start a probe on the current goal.
One-to-one AI teaching skills (Alvar method) for Codex, Claude Code, Grok, Pi, and OpenCode
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…
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…