๐จ AI-Driven UI/UX DesignFebruary 28, 2026โ
Tests passing
Figma AI Sync Tool
This tool integrates with the Figma API and AI models like OpenAI Codex to allow seamless export, transformation, and re-import of design elements. It enables developers to automate updates to design systems, optimize designs using AI, and sync changes back to Figma.
What It Does
- Export Figma Design Elements: Programmatically fetch design elements from Figma files.
- AI-Driven Optimization: Use OpenAI models to optimize layouts and styles.
- Re-Import Updates: Sync optimized design elements back to Figma.
Installation
1. Clone the repository:
git clone <repository_url>
cd <repository_folder>
2. Install dependencies:
pip install -r requirements.txt
3. Set up environment variables:
Create a .env file in the project root and add:
OPENAI_API_KEY=<your_openai_api_key>Usage
Run the tool using the following command:
python figma_ai_sync.py --file-id <figma_file_id> --access-token <api_token> --optimize-layout
Example:
python figma_ai_sync.py --file-id abc123 --access-token xyz456 --optimize-layoutSource Code
import argparse
import requests
import openai
import os
from dotenv import load_dotenv
def export_figma_elements(file_id, access_token):
"""Export design elements from Figma file."""
url = f"https://api.figma.com/v1/files/{file_id}"
headers = {"Authorization": f"Bearer {access_token}"}
try:
response = requests.get(url, headers=headers)
response.raise_for_status()
return response.json()
except requests.exceptions.RequestException as e:
raise RuntimeError(f"Failed to fetch Figma file: {e}")
def optimize_design_with_ai(design_elements, optimize_layout):
"""Use AI to optimize design elements."""
try:
prompt = "Optimize the following design elements for better layout and style: " + str(design_elements)
if optimize_layout:
prompt += " Focus on optimizing the layout."
response = openai.Completion.create(
engine="text-davinci-003",
prompt=prompt,
max_tokens=1000
)
return response.choices[0].text.strip()
except openai.error.OpenAIError as e:
raise RuntimeError(f"Failed to optimize design with AI: {e}")
def update_figma_file(file_id, access_token, optimized_elements):
"""Update Figma file with optimized design elements."""
url = f"https://api.figma.com/v1/files/{file_id}/comments"
headers = {"Authorization": f"Bearer {access_token}"}
data = {"message": "Updated design elements:", "client_meta": optimized_elements}
try:
response = requests.post(url, headers=headers, json=data)
response.raise_for_status()
except requests.exceptions.RequestException as e:
raise RuntimeError(f"Failed to update Figma file: {e}")
def main():
load_dotenv()
parser = argparse.ArgumentParser(description="Figma AI Sync Tool")
parser.add_argument("--file-id", required=True, help="Figma file ID")
parser.add_argument("--access-token", required=True, help="Figma API access token")
parser.add_argument("--optimize-layout", action="store_true", help="Optimize layout using AI")
args = parser.parse_args()
file_id = args.file_id
access_token = args.access_token
optimize_layout = args.optimize_layout
try:
design_elements = export_figma_elements(file_id, access_token)
optimized_elements = optimize_design_with_ai(design_elements, optimize_layout)
update_figma_file(file_id, access_token, optimized_elements)
print("Figma file updated successfully.")
except RuntimeError as e:
print(e)
if __name__ == "__main__":
main()Details
- Tool Name
- figma_ai_sync
- Category
- AI-Driven UI/UX Design
- Generated
- February 28, 2026
- Tests
- Passing โ
Quick Install
Clone just this tool:
git clone --depth 1 --filter=blob:none --sparse \ https://github.com/ptulin/autoaiforge.git cd autoaiforge git sparse-checkout set generated_tools/2026-02-28/figma_ai_sync cd generated_tools/2026-02-28/figma_ai_sync pip install -r requirements.txt 2>/dev/null || true python figma_ai_sync.py