What problem does it solve? Manually crafting prompts and calling the OpenAI Images API one image at a time is slow and repetitive. This Skill automates batch image generation with structured random prompts, model-aware parameter defaults, and a browsable local gallery of results. ## Core Features & Use Cases - Batch Generation: Create multiple images in one run using gpt-image-1, gpt-image-1.5, dall-e-3, or dall-e-2, with automatic per-model defaults for size and quality. - Random Prompt Sampler: Combines subjects, styles, and lighting descriptors into varied prompts when no explicit prompt is given. - Model-Specific Options: Supports background transparency and output formats (png, jpeg, webp) for GPT image models, and vivid/natural styles for dall-e-3. - Use Case: A designer needs 16 concept variations for a landing page hero image. Run the script with a count of 16, then open the generated index.html gallery to review thumbnails and pick the best option. ## Quick Start Run the gen.py script with python3 and your OPENAI_API_KEY set, then open the generated index.html gallery to review the images.