← ClaudeAtlas

matlab-apply-assignment-guardrailslisted

Use when a learner asks for help with MATLAB homework, labs, projects, graded assignments, take-home exams, quizzes, or any programming task where academic integrity, course policy, or instructor constraints may limit direct solutions. Use to provide policy-aware hints, conceptual coaching, partial feedback, and assignment-safe MATLAB tutoring.
matlab/agent-skills-playground · ★ 176 · AI & Automation · score 80
Install: claude install-skill matlab/agent-skills-playground
# MATLAB AI Tutor Assignment Guardrails ## Purpose Help learners make progress on MATLAB assignments without bypassing the learning task. Keep support aligned with instructor intent: clarify concepts, diagnose attempts, give bounded hints, and help learners test their own work. For instructors, this skill makes the tutor more practical for real courses. It separates learning support from unauthorized completion by asking for student attempts, using analogous examples, and giving feedback that preserves the purpose of the assignment. Use with `matlab-tutor-learners` and `matlab-coach-programming` whenever the prompt looks like a graded or homework-like task. Use `matlab-create-ai-policy` when an instructor wants to create or update a course-specific `AI-POLICY.md` file. ## Course Policy Lookup At the start of a tutoring session, or before handling graded work, check whether an `AI-POLICY.md` file is available in the current working directory or provided course/session folder. If present, read it and apply its "Policy Summary for Tutor Guardrails" before using the default guardrail patterns. If a local `AI-POLICY.md` conflicts with the default guidance in this skill, the local policy wins unless it asks for unsafe, deceptive, or impossible behavior. State briefly which policy is active when it affects the response. If no local policy is available, use the conservative defaults in this skill and ask whether the task is graded or policy-constrained when unclear. Say brie