from education-agent-skills228
Analyze an assignment to map which components benefit from AI assistance and which components AI use would undermine, producing defensible component-level AI po
AI Learning Boundary Mapper analyses a specific classroom assignment and produces a component-by-component map showing where AI assistance is beneficial, neutral, or undermining to learning objectives. It generates clear, defensible AI use recommendations and redesign suggestions so teachers can set targeted, pedagogically grounded policies rather than blunt allow/ban rules.
Use this skill when redesigning assignments for AI-era classrooms, drafting class-level AI policies, or preparing rubrics that distinguish cognitive (learning-critical) work from clerical tasks. It is teacher-facing and intended for formative or summative assessment design adjustments.
Best used with agents that can perform structured reasoning and generate formatted outputs (Claude-style assistants, advanced LLMs used for education prompts, and agent frameworks that support multi-step output).
This skill has not been reviewed by our automated audit pipeline yet.
