Smart Lesson Plan Image Generator

Problem It Solves

When teachers need to turn a course topic, class duration, student context, and key teaching points into presentable lesson-preparation material, they often manually extract objectives, sketch structure, and arrange graphics. This skill addresses that by converting natural-language requirements into a structured, image-backed lesson-plan diagram, while keeping reusable text artifacts for review and iteration.

How It Works and Boundaries

The skill runs as an asynchronous job. After receiving a prompt, it extracts structured teaching elements such as subject, grade, topic, duration, objectives, and key or difficult points, then proposes layout and composition guidance. It combines these signals with fixed templates and image-quality constraints to build a text-to-image prompt, then calls an image-generation API and polls by task_id until the final high-resolution result returns.

• Core output: structured teaching elements, layout suggestions, the generated prompt, and the final diagram link.
• Key constraint: real calls are strictly asynchronous; each polling round should surface newly returned content to the user immediately.
• Use cases: lesson plans, slide decks, classroom board design, and teaching-research presentation materials.
• Boundary: without an appKey, the skill can only return a simulated preview; production use requires ShowAPI credentials. The prompt must clearly describe topic, duration, student level, and teaching focus, otherwise the diagram may miss important instructional details.