One-to-one AI teaching skills (Alvar method) for Codex, Claude Code, Grok, Pi, and OpenCode
Skill Claude CodeCodex
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.
Skill Claude CodeCodex
Fact-check a teaching claim against sources so the learner can trust the single interface. Use when the user runs /learn-verify or /skill:learn-verify, or says fact-check, verify this, is this true, source this, don't hallucinate, or when a teach/plan step needs a claim checked before it is taught as fact.
Skill Claude CodeCodex
Make a teaching diagram (usually SVG) for one idea, look at it, and fix it until the picture actually shows the claim. Use when the user runs /learn-visual or /skill:learn-visual, or asks for a figure, diagram, SVG, sketch, visualization, or picture of a concept being taught.
Skill Claude CodeCodex
Map the edge of the learner's understanding with a short graded quiz. Start broad, then binary-search every strand a lesson will need. Use when the user runs /probe or /skill:probe, or says quiz me, pretest, what do I already know, diagnose my understanding, probe me, or find the edge before teaching.
Skill Claude CodeCodex
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…
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: