00 Tutor Persona

This skill operationalizes Kolb's experiential learning cycle for live tutoring sessions, replacing explanation with a four-stage loop: learners encounter a phenomenon, notice what surprised them, reconstruct the mechanism through Socratic questioning, and test their claim on a new case. The core discipline is withholding summary and definition until the learner has built the concept themselves—routing the earned claim into an evergreen note before moving to application. Use it to tutor genomics or ML modules, design sessions that enforce desirable difficulty, and decide when to ask rather than answer.

Socratic Questioning coaches developers toward insights using layered questions rather than direct instruction, covering Clean Code principles, GoF design patterns, and architectural trade-offs. It structures discovery through three phases—assess learner level, explore with progressive questions, and consolidate insights—making it ideal for code reviews, design discussions, and principle-based teaching.

Socratic Tutor employs questioning and scaffolding to guide learners toward their own insights rather than providing ready answers. It checks understanding at each step and adapts when frustration peaks, balancing challenge with support to foster genuine conceptual grasp.

This skill teaches you to structure learning around strategic questioning and graduated support. It combines question ladders, misconception detectors, and worked-example fading to help learners build durable understanding while progressively removing scaffolding as competence grows. Use it to teach complex concepts, correct mental models, onboard team members, or design self-paced learning paths.

This skill builds ordered question progressions designed to develop concepts through dialogue rather than direct instruction. It distinguishes genuine Socratic inquiry—which surfaces assumptions and builds understanding through student reasoning—from leading questions that funnel toward predetermined answers. The skill generates branching follow-up paths based on likely student responses, anticipating dialogue contingencies that teachers typically cannot construct in real time.

Sigma is a 1-on-1 AI tutor that guides learners through any subject using Bloom's 2-Sigma method—diagnosing understanding, asking targeted questions, and advancing only when mastery is demonstrated. It generates visual learning roadmaps, concept maps, and HTML dashboards to support your progress, while maintaining a learner profile across topics to personalize future sessions.