GA

gamma-deploy-integration

Guides deployment of Gamma-enabled apps with secure secret management across cloud providers.

Install

mkdir -p .claude/skills/gamma-deploy-integration && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/8170" && unzip -o skill.zip -d .claude/skills/gamma-deploy-integration && rm skill.zip

Installs to .claude/skills/gamma-deploy-integration

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Deploy Gamma-integrated applications to production environments.
64 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Deploy Gamma applications to Vercel
  • Configure AWS Lambda for Gamma integration
  • Deploy Gamma services to Google Cloud Run
  • Manage Gamma API keys securely in production
  • Automate Gamma deployment with GitHub Actions

How it works

It provides step-by-step instructions for deploying Gamma-integrated applications to various cloud platforms, including Vercel, AWS Lambda, and Google Cloud Run, with a focus on secure secret management.

Inputs & outputs

You give it
Gamma-integrated application code, cloud platform credentials, Gamma API key
You get back
Production deployment of Gamma-integrated application

When to use gamma-deploy-integration

  • Deploy Gamma apps to Vercel
  • Configure AWS Secrets Manager for Gamma
  • Manage production environment variables
  • Set up serverless function configurations

About this skill

Gamma Deploy Integration

Overview

Deploy Gamma-integrated applications to various cloud platforms with proper configuration and secret management.

Prerequisites

  • Completed CI integration
  • Cloud platform account (Vercel, AWS, or GCP)
  • Production Gamma API key

Instructions

Vercel Deployment

Step 1: Configure Vercel Project

set -euo pipefail
# Install Vercel CLI
npm i -g vercel

# Link project
vercel link

# Set environment variable
vercel env add GAMMA_API_KEY production

Step 2: Create vercel.json

{
  "framework": "nextjs",
  "buildCommand": "npm run build",
  "env": {
    "GAMMA_API_KEY": "@gamma_api_key"
  },
  "functions": {
    "api/**/*.ts": {
      "maxDuration": 30
    }
  }
}

Step 3: Deploy

# Preview deployment
vercel

# Production deployment
vercel --prod

AWS Lambda Deployment

Step 1: Store Secret in AWS Secrets Manager

aws secretsmanager create-secret \
  --name gamma/api-key \
  --secret-string '{"apiKey":"your-gamma-api-key"}'

Step 2: Lambda Configuration

// lambda/gamma-handler.ts
import { SecretsManager } from '@aws-sdk/client-secrets-manager';
import { GammaClient } from '@gamma/sdk';

const secretsManager = new SecretsManager({ region: 'us-east-1' });
let gamma: GammaClient;

async function getGammaClient() {
  if (!gamma) {
    const secret = await secretsManager.getSecretValue({
      SecretId: 'gamma/api-key',
    });
    const { apiKey } = JSON.parse(secret.SecretString!);
    gamma = new GammaClient({ apiKey });
  }
  return gamma;
}

export async function handler(event: any) {
  const client = await getGammaClient();
  const result = await client.presentations.create({
    title: event.title,
    prompt: event.prompt,
  });
  return { statusCode: 200, body: JSON.stringify(result) };  # HTTP 200 OK
}

Step 3: SAM Template

# template.yaml
AWSTemplateFormatVersion: '2010-09-09'  # 2010 = configured value
Transform: AWS::Serverless-2016-10-31  # 2016 = configured value

Resources:
  GammaFunction:
    Type: AWS::Serverless::Function
    Properties:
      Handler: dist/gamma-handler.handler
      Runtime: nodejs20.x
      Timeout: 30
      MemorySize: 256  # 256 bytes
      Policies:
        - SecretsManagerReadWrite
      Environment:
        Variables:
          NODE_ENV: production

Google Cloud Run Deployment

Step 1: Store Secret

echo -n "your-gamma-api-key" | \
  gcloud secrets create gamma-api-key --data-file=-

Step 2: Dockerfile

FROM node:20-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY dist ./dist
CMD ["node", "dist/server.js"]

Step 3: Deploy

set -euo pipefail
gcloud run deploy gamma-service \
  --image gcr.io/$PROJECT_ID/gamma-service \
  --platform managed \
  --region us-central1 \
  --set-secrets GAMMA_API_KEY=gamma-api-key:latest \
  --allow-unauthenticated

GitHub Actions Deployment

# .github/workflows/deploy.yml
name: Deploy

on:
  push:
    branches: [main]

jobs:
  deploy:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4

      - name: Build
        run: npm ci && npm run build

      - name: Deploy to Vercel
        uses: amondnet/vercel-action@v25
        with:
          vercel-token: ${{ secrets.VERCEL_TOKEN }}
          vercel-org-id: ${{ secrets.VERCEL_ORG_ID }}
          vercel-project-id: ${{ secrets.VERCEL_PROJECT_ID }}
          vercel-args: '--prod'

Output

  • Production deployment on chosen platform
  • Secrets securely stored
  • Environment variables configured
  • Automated deployment pipeline

Error Handling

ErrorCauseSolution
Secret not foundMissing secretCreate secret in platform
TimeoutFunction too slowIncrease timeout limit
Cold startLambda initializationUse provisioned concurrency
Permission deniedIAM misconfiguredUpdate IAM policies

Resources

Next Steps

Proceed to gamma-webhooks-events for event handling.

Prerequisites

Completed CI integrationCloud platform account (Vercel, AWS, or GCP)Production Gamma API key

Limitations

  • Requires a cloud platform account (Vercel, AWS, or GCP)
  • Requires a production Gamma API key
  • IAM policies must be updated for permission issues

How it compares

This skill offers platform-specific deployment configurations for Gamma applications, contrasting with generic application deployment guides.

Compared to similar skills

gamma-deploy-integration side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
gamma-deploy-integration (this skill)026dReviewIntermediate
vercel-deployment36moNo flagsIntermediate
ideogram-deploy-integration126dCautionIntermediate
deployment-pipeline-design62moReviewAdvanced

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