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design-to-code

Pixel-perfect Figma to React conversion using coderio. Generates production-ready code (TypeScript, Vite, TailwindCSS V4) with high visual fidelity. Features robust error handling, checkpoint recovery, and streamlined execution via helper script.

231 stars

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/design-to-code/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/migoxlab/design-to-code/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/design-to-code/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How design-to-code Compares

Feature / Agentdesign-to-codeStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Pixel-perfect Figma to React conversion using coderio. Generates production-ready code (TypeScript, Vite, TailwindCSS V4) with high visual fidelity. Features robust error handling, checkpoint recovery, and streamlined execution via helper script.

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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
    ```

2.  **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`.

3.  **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
    ```

2.  **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
    ```

2.  **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`.

3.  **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.