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Figma deploy integration

Skill jeremylongshore/claude-code-plugins-plus-skills/skills/.curated/figma-deploy-integration

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Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill figma-deploy-integration

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What its author says it does

Copied from the file, not written here

'Deploy Figma-powered applications to Vercel, Cloud Run, and Fly.io.

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

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Figma Deploy Integration

Overview

Deploy Figma webhook receivers and design API services to production platforms with proper secret management and health checks.

Prerequisites

  • Figma PAT for production environment
  • Platform CLI installed (vercel, fly, or gcloud)
  • Application tested locally with Figma API

Instructions

Step 1: Vercel Deployment (Webhook Receiver)

# Store Figma secrets
vercel env add FIGMA_PAT production
vercel env add FIGMA_WEBHOOK_PASSCODE production

# Deploy
vercel --prod
// api/webhooks/figma.ts (Vercel serverless function)
import { NextRequest, NextResponse } from 'next/server';
import crypto from 'crypto';

export async function POST(req: NextRequest) {
  const payload = await req.json();

  // Verify passcode
  const expected = process.env.FIGMA_WEBHOOK_PASSCODE!;
  const received = payload.passcode || '';
  const a = Buffer.from(received);
  const b = Buffer.from(expected);
  // timingSafeEqual throws on length mismatch — guard first
  if (a.length !== b.length || !crypto.timingSafeEqual(a, b)) {
    return NextResponse.json({ error: 'Invalid passcode' }, { status: 401 });
  }

  // Process webhook event
  switch (payload.event_type) {
    case 'FILE_UPDATE':
      console.log(`File updated: ${payload.file_name} (${payload.file_key})`);
      // Trigger token re-sync, invalidate cache, etc.
      break;
    case 'FILE_COMMENT':
      console.log(`New comment on ${payload.file_name}`);
      break;
    case 'LIBRARY_PUBLISH':
      console.log(`Library published: ${payload.file_name}`);
      break;
  }

  return NextResponse.json({ received: true });
}

export const config = { maxDuration: 10 };

Step 2: Google Cloud Run (Design Token API)

FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --omit=dev
COPY dist/ ./dist/
ENV PORT=8080
CMD ["node", "dist/server.js"]
PROJECT_ID="${GOOGLE_CLOUD_PROJECT}"
SERVICE="figma-token-api"
REGION="us-central1"

# Store PAT in Secret Manager
echo -n "${FIGMA_PAT}" | gcloud secrets create figma-pat --data-file=-

# Build and deploy
gcloud builds submit --tag gcr.io/$PROJECT_ID/$SERVICE
gcloud run deploy $SERVICE \
  --image gcr.io/$PROJECT_ID/$SERVICE \
  --region $REGION \
  --platform managed \
  --set-secrets="FIGMA_PAT=figma-pat:latest" \
  --allow-unauthenticated \
  --max-instances=5 \
  --timeout=30s

Step 3: Fly.io (Persistent Webhook Service)

# fly.toml
app = "figma-webhook-service"
primary_region = "iad"

[env]
  NODE_ENV = "production"

[http_service]
  internal_port = 3000
  force_https = true
  auto_stop_machines = "suspend"
  auto_start_machines = true
  min_machines_running = 1

[[http_service.checks]]
  grace_period = "10s"
  interval = "30s"
  method = "GET"
  path = "/health"
  timeout = "5s"
fly secrets set FIGMA_PAT=figd_your-token
fly secrets set FIGMA_WEBHOOK_PASSCODE=your-passcode
fly deploy

Step 4: Health Check Endpoint

// src/health.ts -- works on any platform
import { figmaFetch } from './figma-client';

export async function healthHandler(req: Request): Promise<Response> {
  const start = Date.now();

  try {
    const res = await fetch('https://api.figma.com/v1/me', {
      headers: { 'X-Figma-Token': process.env.FIGMA_PAT! },
      signal: AbortSignal.timeout(5000),
    });

    return Response.json({
      status: res.ok ? 'healthy' : 'degraded',
      figma: {
        authenticated: res.ok,
        latencyMs: Date.now() - start,
      },
      timestamp: new Date().toISOString(),
    });
  } catch {
    return Response.json({
      status: 'unhealthy',
      figma: { authenticated: false, latencyMs: Date.now() - start },
    }, { status: 503 });
  }
}

Output

  • Application deployed with Figma secrets configured
  • Webhook endpoint receiving Figma events
  • Health check validating Figma connectivity
  • Platform-specific optimizations applied

Error Handling

IssueCauseSolution
Secret not found in runtimeWrong env nameVerify with platform CLI (vercel env ls)
Webhook timeoutProcessing too slowReturn 200 immediately, process async
Cold start latencyServerless cold bootUse Fly.io min_machines_running: 1 or Cloud Run min instances
Health check failsPAT expiredRotate token via platform secret management

Examples

Deploy the webhook receiver to Vercel (Step 1) and verify end-to-end:

vercel deploy --prod
curl -s -X POST https://figma-hooks.example.vercel.app/api/figma/webhook \
  -H 'Content-Type: application/json' \
  -d '{"event_type":"PING","passcode":"'"${WEBHOOK_PASSCODE}"'"}'
# 200 {"ok":true}

Then point Figma at it and watch a real event arrive:

POST /api/figma/webhook  200  event=FILE_UPDATE file=AbC123 triggered_by=mia.designer

Probe the deployed health endpoint (Step 4) — it checks Figma reachability, not just process-up:

curl -s https://figma-hooks.example.vercel.app/api/health | jq .
# {"status":"ok","figma_api":"reachable","uptime_s":86400}

Cloud Run and Fly.io equivalents: references/google-cloud-run-design-token-api.md, references/fly-io-persistent-webhook-service.md.

Resources

Next Steps

For webhook handling, see figma-webhooks-events.

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