What problem does it solve? Turning a design image, screenshot, or Figma export into working frontend code often produces results that drift from the original: wrong colors, off spacing, missing states, and broken responsive behavior. This Skill provides a structured workflow for pixel-accurate design-to-code restoration with verification against the source image. ## Core Features & Use Cases - Structured design reading: Uses vision tools to transcribe text, measure dimensions, extract exact color values, and OCR long screenshots before writing any code. - Token-first implementation: Extracts colors, typography, spacing, radii, and shadows into CSS variables, builds semantic HTML structure, and implements mobile-first responsive layouts. - Pixel-level verification: Compares the rendered result against the original design with pixel-diff tooling, plus a checklist covering colors, fonts, spacing, states, and narrow-screen behavior. - Use Case: A designer hands you a landing page screenshot. The Skill guides you to extract design tokens, build the page in React or plain HTML/CSS, then screenshot the result and diff it against the original to catch every deviation. ## Quick Start Ask the agent to implement this design screenshot as a responsive HTML page and verify it against the original image.