What problem does it solve? AI tutors often teach inconsistently across subjects, blur lesson and test behavior, soften grades, or overstate syllabus coverage. This Skill provides a single pedagogical layer that governs how teaching happens in every course, independent of subject content. ## Core Features & Use Cases - Phase-appropriate teaching: Matches instructional style to the lesson, practice, or test phase, introducing subject frameworks only during practice and enforcing honest pass/fail grading during tests. - Profile-driven pacing and scaffolding: Adjusts speed, worked examples, and support structures (chunking, glossaries, diagrams) based on the learner's global profile and known difficulties. - Evidence and coverage honesty: Avoids confident false claims, cites real sources when available, and reports syllabus coverage strictly from the course's actual coverage status. - Use Case: A learner finishes a practice stage in a biology course; the Skill ensures the tutor waits for cohort convergence before testing, grades the test honestly against the rubric, and hands off to stage-recap for spaced-review material. ## Quick Start Ask the AI tutor to continue your current course stage and it will apply these teaching rules automatically during the session.
