Design to Code

High-fidelity UI restoration from Figma designs to production-ready React + TypeScript components. This SKILL uses a robust helper script to minimize manual errors and ensure pixel-perfect results.

Prerequisites

1. Figma API Token: Get from Figma → Settings → Personal Access Tokens
2. Node.js: Version 18+
3. coderio: Installed in scripts/ folder (handled by Setup phase)

Workflow Overview

Phase 0: SETUP    → Create helper script and script environment
Phase 1: PROTOCOL → Generate design protocol (Structure & Props)
Phase 2: CODE     → Generate components and assets

Phase 0: Setup

Step 0.1: Initialize Helper Script

User Action: Run these commands to create the execution helper and isolate its dependencies.

bash
mkdir -p scripts

# 1. Copy script files
# Note: Ensure you have the 'skills/design-to-code/scripts' directory available
cp skills/design-to-code/scripts/package.json scripts/package.json
cp skills/design-to-code/scripts/coderio-skill.mjs scripts/coderio-skill.mjs

# 2. Install coderio in scripts directory (adjust version if needed)
cd scripts && pnpm install && cd ..

Step 0.2: Scaffold Project (Optional)

If starting a new project:

1. Run: node scripts/coderio-skill.mjs scaffold-prompt "MyApp"
2. AI Task: Follow the instructions output by the command to create files.

Phase 1: Protocol Generation

Step 1.1: Fetch Data

bash
# Replace with your URL and Token
node scripts/coderio-skill.mjs fetch-figma "https://figma.com/file/..." "figd_..."

Verify: process/thumbnail.png should exist.

Step 1.2: Generate Structure

1. Generate Prompt:

bash node scripts/coderio-skill.mjs structure-prompt > scripts/structure-prompt.md

1. AI Task (Structure):

• ATTACH: process/thumbnail.png (MANDATORY)
• READ: scripts/structure-prompt.md
• INSTRUCTION: "Generate the component structure JSON based on the prompt and the attached thumbnail. Focus on visual grouping. Use text content to name components accurately (e.g. 'SafeProducts', not 'FAQ')."
• SAVE: Paste the JSON result into scripts/structure-output.json.

1. Process Result:

bash node scripts/coderio-skill.mjs save-structure

Step 1.3: Extract Props (Iterative)

1. List Components:

bash node scripts/coderio-skill.mjs list-components

1. For EACH component in the list:

a. Generate Prompt:

bash node scripts/coderio-skill.mjs props-prompt "ComponentName" > scripts/current-props-prompt.md

b. AI Task (Props):

• ATTACH: process/thumbnail.png (MANDATORY)
• READ: scripts/current-props-prompt.md
• INSTRUCTION: "Extract props and state data. Be pixel-perfect with text and image paths."
• SAVE: Paste the JSON result into scripts/ComponentName-props.json.

c. Save & Validate:

bash node scripts/coderio-skill.mjs save-props "ComponentName" # If this fails, re-do step 'b' with better attention to the thumbnail

Phase 2: Code Generation

Step 2.1: Plan Tasks

bash
node scripts/coderio-skill.mjs list-gen-tasks

This outputs a list of tasks with indices (0, 1, 2...).

Step 2.2: Generate Components (Iterative)

For EACH task index (starting from 0):

1. Generate Prompt:

bash node scripts/coderio-skill.mjs code-prompt 0 > scripts/code-prompt.md # Replace '0' with current task index

1. AI Task (Code):

• ATTACH: process/thumbnail.png (MANDATORY)
• READ: scripts/code-prompt.md
• INSTRUCTION: "Generate the React component code. Match the thumbnail EXACTLY. Use STRICT text content from input data, do not hallucinate."
• SAVE: Paste the code block into scripts/code-output.txt.

1. Save Code:

bash node scripts/coderio-skill.mjs save-code 0 # Replace '0' with current task index

Step 2.3: Final Integration

Inject the root component into App.tsx. Use the path found in the last task of Phase 2.1.

Troubleshooting

• "Props validation failed": The AI generated empty props. Check if process/thumbnail.png was attached and visible to the AI. Retry the props generation step.
• "Module not found": Ensure node scripts/coderio-skill.mjs save-code was run for the child component before the parent component. Phase 2 must be done in order (0, 1, 2...).
• "Visuals don't match": Did you attach the thumbnail? The AI relies on it for spacing and layout nuances not present in the raw data.