image-generator

Professional-quality visual generation applies multi-turn reasoning with Gemini to transform narrative briefs—including story, intent, metaphor, composition, color semantics, and pedagogical goals—into compliant visuals. This skill automates batch browser-based generation with 5-gate quality checks (spelling, layout, color, typography, teaching effectiveness) and iterative feedback loops to meet high standards without generic output.

Yes. Batch image generation with autonomous workflows and gate-based quality checks enables multi-turn brief-to-visual cycles without back-and-forth prompts. The skill applies principle-based feedback across iterations, enforces pass/fail criteria for clarity and teaching effectiveness, and integrates results into lesson deployment pipelines.

Structure briefs with narrative reasoning layers—The Story, Emotional Intent, Visual Metaphor—paired with technical specification layers: Subject/Composition/Action/Location/Style/Camera/Lighting, Color Semantics, Typography Hierarchy, and Pedagogical Reasoning. This framework activates reasoning over prediction and teaches Gemini your standards through principle-based iteration.

Quality gates enforce explicit pass/fail criteria across five dimensions: spelling accuracy, layout coherence, color semantics alignment, typography hierarchy clarity, and teaching effectiveness. Automated gate-based checks validate each visual and trigger per-visual iteration feedback without manual review overhead.

Yes. The skill supports autonomous batch workflows with token-conservation prompts and embedded uniqueness checks, enabling multi-visual generation at scale. Results integrate directly into asset pipelines and lesson deployment, reducing manual iteration cycles while maintaining compliance with design and pedagogical standards.

Batch generation depends on Gemini's reasoning capabilities and Playwright's browser automation scope. Complex briefs require well-structured narrative and technical specification layers; incomplete briefs may produce generic output. Gate-based quality checks validate compliance but cannot guarantee creative novelty beyond embedded uniqueness constraints.