What problem does it solve? AI-drafted grading comments and announcements often sound like a fresh, generic AI voice each session, so students receive feedback that reads inconsistently and does not match their instructor's tone. This Skill loads the instructor's established voicing profile before drafting any student-facing text so every comment sounds like them. ## Core Features & Use Cases - Profile Discovery: Locates the course's feedback voice profile in canonical locations such as grading/FEEDBACK_VOICE.md, with fallbacks for older paths. - Voice Application: Applies core principles, banned jargon lists, template openers, per-assignment comment structures, and before/after examples when drafting comments. - Profile Bootstrapping: Provides a FEEDBACK_VOICE.template.md skeleton to build a new profile from instructor input and existing edited comments when none exists. - Use Case: Before writing grading feedback for a Canvas assignment, load the course's FEEDBACK_VOICE.md so the drafted comment uses the instructor's phrasing, openers, and criticism style instead of a generic AI tone. ## Quick Start Load the course's feedback voice profile and draft a grading comment for this assignment in the instructor's established voice.
