What problem does it solve? Manually translating Figma designs into prompts for AI prototyping tools produces bloated, imprecise prompts that waste tokens and generate inconsistent output. This Skill extracts design structure programmatically and generates compact, tool-specific prompts, reducing prompt size by up to 97%. ## Core Features & Use Cases - Design Structure Extraction: Pulls layouts, components, styles, and design tokens from Figma files via the Figma API. - Tool-Specific Prompt Templates: Generates targeted prompts for Lovable, Figma Make, Pencil.dev, Paper.design, and Google Stitch. - Token Optimization: Replaces frame attachments with structured MCP text context, cutting prompt size from 500+ tokens to roughly 45. - Use Case: A designer exports a Figma file, runs the transform script to extract the component hierarchy and style tokens, and receives a ready-to-paste Lovable prompt that produces a matching React app on the first generation. ## Quick Start Ask the AI to convert your Figma file into an optimized prompt for Lovable by providing the Figma file key and target tool.