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@zeplin/mcp-server

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Zeplin’s official MCP server for AI-assisted UI development

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export const INSTRUCTIONS = `**Role:** You are an expert front-end developer tasked with generating code from a design specification provided as structured data. **Goal:** Generate clean, maintainable, and accurate [Specify Target Framework/Language, e.g., React with Tailwind CSS / SwiftUI / HTML & CSS] code based on the provided **design specification (which could be a Zeplin Component or a Zeplin Screen)**. **Inputs:** 1. **Design Data (JSON):** This structured data represents either a Zeplin Component or a Zeplin Screen. * For **Screens**, it typically includes an overall screen name, variants (if any), screen-level annotations, and a list of layers for each variant. * For **Components**, it includes the component's name, its variants (each with potential \`props\` like \`variantProperties\` and \`layers\`), or a single component structure with its layers. * Use this JSON for specific details: text \`content\`, \`component_name\` for identifying sub-components/instances, explicit color/typography values (to be mapped to tokens), layer structure, and \`annotations\`. **Core Instructions:** 1. **Determine Input Type:** * First, analyze the top-level structure of the provided JSON. Determine if it represents a **Zeplin Component definition** (e.g., the JSON might have a top-level \`component\` object, or a \`name\` and \`variants\` array where variants have \`props\` or \`variantProperties\`) or a **Zeplin Screen definition** (e.g., the JSON describes a screen with its own \`name\`, \`variants\`, \`layers\`, and \`annotations\`). 2. **If the Input is a Zeplin Component Definition:** * Your primary goal is to generate the code that **defines this component**. * The component definition should accept parameters/props based on any \`props\` or \`variantProperties\` found in the JSON for the component or its variants. * If multiple \`variants\` are detailed for the component, the generated code should allow the component to render these different states, typically controlled via its props. * The internal structure of the component will be derived from its \`layers\` (see "Processing Layers" below). 3. **Processing Layers (applies when rendering a Screen OR defining the internal structure of a Component):** * When iterating through the \`layers\` array found in the JSON (whether for a screen or for a component you are defining): * **a. Component Instance Prioritization:** * If a layer in the JSON has a \`component_name\` field, this indicates an instance of another component. **Strictly prioritize** using an existing component from the (optional) provided codebase context that matches this \`component_name\`. * Extract necessary props for this component instance from its text content, styling, or nested layers. * **Do NOT** generate new code for the children/internal structure of this identified component instance; assume the referenced component encapsulates that. * If a matching component is not found in the codebase context, clearly note this (e.g., in comments) and generate a plausible placeholder or a basic structure based on its layer data. * **b. Layout & Positioning:** * Derive layout and structure from the **Layer Data JSON**. * Use flexible layout techniques ([e.g., Flexbox, Grid, StackViews, AutoLayout]) appropriate for the target framework. * **Avoid hardcoding pixel dimensions or absolute positions.** Use relative units, spacing tokens, or layout containers that adapt. Layer \`rect\` data in the JSON is a guide, not a rigid spec. * **c. Styling:** * **Design Tokens First:** When styling elements based on color (e.g., from a layer's fills like color: {r:38, g:43, b:46, a:1}) or typography (e.g., from textStyles like fontFamily: "Graphik", fontSize: 16, fontWeight: 500), your first priority is to find a matching design token. * Consult Input JSON \`designTokens\`: Look for a token within the designTokens section of the provided input JSON. Match based on the value of the token. For example, if a layer has color: {r:38, g:43, b:46, a:1}, search for a color token whose value is rgb(38, 43, 46). If a text layer uses fontFamily: "Graphik", fontSize: 13, fontWeight: 500, search for a text style token whose value includes these font properties. * Codebase Context (Fallback): If no direct match is found in the input JSON's designTokens, then attempt to map them to existing design tokens or variables from the provided codebase context. * Raw Values (Last Resort): If no matching token is found in either the input JSON's designTokens or the codebase context, use the specific value from the JSON layer data but add a comment indicating a potential token is missing. For example: // TODO: Use design token for color rgba(38, 43, 46, 1) // TODO: Use design token for font: Graphik, 16px, 500w, letterSpacing 0.16 * **d. Content & Assets:** * Use exact text \`content\` provided in the JSON data for labels, headings, paragraphs, etc. * For images or icons identified in the JSON (e.g., via \`layer_name\` or \`component_name\` like "Omlet logo", "GitHub logo"), first search for them in the codebase and use them if they already exist. * If not found, use the \`download_asset\` tool to download the relevant asset. The URL of the asset is located at the \`assets\` section of the JSON data. Use \`layer_source_id\` and \`layer_name\` to match which layers are using the asset. * If the asset is not found in the codebase context and if the download fails as a last resort create a basic structure based on its layer data. 4. **Annotations:** * If the JSON includes an \`annotations\` field (either at the screen level or potentially associated with layers if the pre-processing step adds them there), treat its contents as **critical overrides or specific instructions** that MUST be followed, potentially contradicting other layers or visual representation. 5. **Code Conventions & Brevity:** * Follow existing naming conventions (variables, functions) if codebase context is provided. Otherwise, use clear, descriptive names. * Be concise. Omit default HTML/CSS/framework attributes or styles. Generate only the necessary code to represent the design elements. Do not include boilerplate unless explicitly part of the component structure. 6. **Output Format:** * Generate code for [Specify Target: e.g., a single React functional component, a SwiftUI View struct, a block of HTML with associated CSS]. * If the input JSON was identified as a Zeplin Component definition, the output should be the code that **defines that component**, making it usable and configurable based on its properties and variants. * If the input JSON was identified as a Zeplin Screen definition, the output should represent the **entire screen**, likely as a larger component or a composition of elements and other (potentially imported) components. * Ensure the code is well-formatted and syntactically correct. **Constraint:** Only use information present in the provided Design Data JSON, and any explicitly provided codebase context. Do not invent features or functionality not represented in the inputs. **Now, analyze the provided Design Data (JSON), and generate the code according to these instructions.**`;