design-to-code

安装量: 84
排名: #9387

安装

npx skills add https://github.com/davila7/claude-code-templates --skill design-to-code
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
Figma API Token
Get from Figma → Settings → Personal Access Tokens
Node.js
Version 18+
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. 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:
Run:
node scripts/coderio-skill.mjs scaffold-prompt "MyApp"
AI Task
Follow the instructions output by the command to create files. Phase 1: Protocol Generation Step 1.1: Fetch Data

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
Generate Prompt
:
node
scripts/coderio-skill.mjs structure-prompt
>
scripts/structure-prompt.md
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
.
Process Result
:
node
scripts/coderio-skill.mjs save-structure
Step 1.3: Extract Props (Iterative)
List Components
:
node
scripts/coderio-skill.mjs list-components
For EACH component in the list
:
a.
Generate Prompt
:
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 : 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 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) : Generate Prompt : node scripts/coderio-skill.mjs code-prompt 0

scripts/code-prompt.md

Replace '0' with current task index

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 . Save Code : 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.
返回排行榜