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 and organizes results into a browsable gallery. ## Core Features & Use Cases - Batch Image Generation: Create multiple images in one run using GPT image models (gpt-image-1, gpt-image-1.5) or DALL-E 2/3, with model-specific size, quality, style, background, and output-format parameters handled automatically. - Random Prompt Sampler: Combines subjects, styles, and lighting descriptors into varied prompts when no explicit prompt is given. - HTML Gallery Output: Produces an index.html thumbnail gallery plus a prompts.json mapping for every run. - Use Case: A designer needs 16 concept variations of a product photo; run the script with --count 16 --model gpt-image-1 and open the generated gallery to review all options at once. ## Quick Start Run the gen.py script with your desired count and model, making sure the OPENAI_API_KEY environment variable is set, then open the generated index.html gallery.