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from awesome-codex-plugins616
Maps which parts of an assignment benefit from AI assistance versus which parts AI use would undermine, and produces component-level policy recommendations for
Generates a component-by-component analysis for a given assignment that identifies which elements are AI-beneficial, AI-neutral, or AI-undermining. It produces an AI learning boundary map, concrete policy language teachers can paste into assignment briefs, tool-comparison guidance (search vs AI), and redesign suggestions to preserve learning-critical challenge while permitting useful AI assistance.
Use this skill when redesigning classroom tasks, drafting AI-use policies for assessments, or when you need defensible, component-specific guidance rather than blanket allow/prohibit rules. Works for essays, lab reports, coding assignments, and other structured tasks where learning objectives are explicit.
Best used with agents that can accept structured prompts and return long-form markdown (Claude/Claude-internal-style, Gemini/LLM agents, Copilot-style assistants).
A well-crafted education skill that maps which parts of an assignment benefit from AI vs. where AI undermines learning. The SKILL.md is comprehensive with detailed evidence foundation, structured input/output schemas, a thorough prompt template, and a worked example output. No scripts are bundled — this is a prompt-only skill. The prompt is detailed and specific with clear principles, self-check criteria, and structured output format. No security concerns whatsoever as it contains no executable code, no network calls, and no data exfiltration vectors.
Solid educational tool with strong pedagogical grounding. Well-structured frontmatter with input/output schemas and evidence sources. The prompt is thorough and includes self-check criteria. Main limitation is niche audience (teachers designing AI-age assignments) and no executable scripts to validate or enforce output format.
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