← ClaudeAtlas

matlab-create-ai-policylisted

Use when an instructor wants to create, interview for, configure, install, update, or review a course AI-use policy for MATLAB AI tutoring. Produces an AI-POLICY.md file for LMS sharing and local tutoring-session enforcement by assignment guardrails.
matlab/agent-skills-playground · ★ 176 · AI & Automation · score 80
Install: claude install-skill matlab/agent-skills-playground
# MATLAB AI Tutor Course Policy ## Purpose Interview an instructor to create a course-specific `AI-POLICY.md` file. The file should be suitable to upload to a learning management system, share with learners, and install locally for MATLAB AI tutoring sessions so assignment guardrails can enforce the instructor's rules. Use this skill before a course pilot, when adopting the tutor for graded work, or when an instructor wants one policy that applies consistently across homework, labs, projects, quizzes, exams, and instructor-facing materials. ## Interactive Interview Run the interview in short rounds. Ask at most three questions at a time and summarize choices before generating the policy. If the instructor supplies a syllabus, assignment description, or existing policy, extract answers from it first and ask only about gaps. Required policy requirements: 1. Course title, term, instructor, and contact or support path. 2. Course-wide AI-use stance: encouraged, allowed with limits, restricted, or prohibited except when explicitly authorized. 3. Rules by activity type: homework, labs, projects, quizzes, exams, take-home assessments, and instructor-facing content. 4. Allowed AI tutor help: concept explanations, analogous examples, debugging, code review, tests, reflection, transcript logs, and session reports. 5. Restricted AI tutor help: final solutions, full programs, answer keys, hidden test bypassing, unauthorized collaboration, and polishing work before a