What problem does it solve? Choosing the wrong image or video generation tool, inventing file paths, or trusting image models with exact text and data leads to broken or inaccurate visual output. This Skill defines the correct tool-selection rules, prompt-craft practices, and verification loops for the split Imagine computer stack. ## Core Features & Use Cases - Tool Selection Matrix: Maps each situation to the right call — text_to_image, image_to_image, reference_to_image, text_to_video, image_to_video, or reference_to_video — based on how many reference images exist. - Accuracy-First Workflow: Directs exact-text, data, and diagram requests to code-built HTML/CSS assets instead of image models, with a read_file verification loop. - Reference-First Real People Handling: Requires web search grounding and a real reference path before generating or animating any named person. - Use Case: When asked to create a cinematic portrait of a public figure, search the web to verify identity, obtain a reference image, then call imagine_image_to_image with that path and show the result via render_file. ## Quick Start Generate a 16:9 image of a neon-lit city street at dusk using the imagine text-to-image tool, then show it to me in chat.