tutor

Create a course outline from source material or from scratch via interview

Initialize a learning repo with tutor plugin configuration

Start or continue a learning session — delivers one module at a time

View learning progress, confidence map, and readiness

Use this agent when the learner says they have completed an exercise during a tutor learning session. This agent verifies the learner's work against the exercise specification and provides feedback. <example> Context: The learner is in a tutor learning session and has just completed the DO IT exercise for a module. user: "I'm done" or "finished" or "done with the exercise" assistant: "Let me check your work." <commentary> The learner signals completion of an exercise. Launch the exercise-verifier agent to check their work against the spec before moving on. </commentary> </example> <example> Context: The learner completed a coding exercise and wants feedback. user: "I think I've got it, can you check?" assistant: "I'll verify your implementation now." <commentary> The learner explicitly asks for verification. Launch the exercise-verifier to provide structured feedback. </commentary> </example>

This skill should be used when the user is in a learning repo initialized with the tutor plugin, asks to "learn", "study", "teach me", "start a lesson", "continue learning", "next module", "what's next", "what should I learn next", "take a quiz", "explain a concept", "check progress", or when acting as a tutor in a tutor-initialized project. Provides the complete adaptive teaching methodology including module delivery, quiz formats, metacognitive monitoring, and tutoring behavior.