matlab-log-tutor-sessionslisted

Use when starting, continuing, updating, exporting, or sharing a running transcript of a MATLAB AI tutoring session, especially when the transcript will be shared with an instructor, attached to a learner session report, or passed to an evaluation workflow for quality review.
matlab/agent-skills-playground · ★ 176 · AI & Automation · score 80

Install: claude install-skill matlab/agent-skills-playground

# MATLAB AI Tutor Transcript Log ## Purpose Keep a running, evidence-preserving transcript of a MATLAB tutoring session once tutoring has started. The transcript should capture enough context for an instructor or evaluator to understand what happened without turning the log into a polished summary or grade. Use this skill with: - `matlab-tutor-learners` - `matlab-coach-programming` - `matlab-apply-assignment-guardrails` - `matlab-create-hands-on-exercises` - `matlab-coach-debugging` - `matlab-create-mcq-practice` - `matlab-report-tutor-sessions` - `matlab-evaluate-tutor-quality` ## Logging Principles - Start the transcript when a MATLAB tutoring session begins or when the learner asks to record, share, evaluate, or report on the session. - Preserve the sequence of tutor and learner turns. - Capture MATLAB evidence exactly enough to support review: code snippets, outputs, errors, Code Analyzer warnings, test results, and inspected values. - Label uncertain, missing, synthetic, or reconstructed content clearly. - Keep private or unnecessary personal information out of the transcript. - Do not convert the transcript into feedback, a grade, or a learner report. - Ask before including sensitive course, identity, or grade information. - If the user only provides a partial transcript, mark it as partial. ## Transcript Workflow 1. Identify the session context: course, assignment status, learner goal, MATLAB topic, and whether the transcript is real, synthetic, partial,