Image Generator Skill

Image generation for multiple educational chapters is automated by guiding Gemini through a structured multi-turn reasoning workflow, applying principle-based feedback, validating with six quality gates, and embedding the resulting images directly into lesson materials.

Gemini-guided visual design enforces six automated quality gates—spelling, layout, color, typography, teaching effectiveness, and uniqueness—ensuring professional standards and pedagogical alignment before embedding images into lesson materials.

Generating pedagogical visuals across multiple chapters is supported through batch generation mode, which organizes images by part or chapter, applies per-visual iteration, and preserves narrative elements for embedding into educational content.

Professional image creation is best structured by starting new chats per visual, applying explicit principles and feedback during multi-turn reasoning, and validating outputs through six quality gates rather than relying on a single quick generation.

Browser-based generation tooling and asset pipelines are required for batch visual generation, as the structured reasoning workflow relies on these tools to execute Gemini-guided outputs and autonomously embed them into lesson materials.