Skip to main content Deploy Gamma-integrated applications to production environments.
Use when deploying to Vercel, AWS, GCP, or other cloud platforms
with proper secret management and configuration.
Trigger with phrases like "gamma deploy", "gamma production",
"gamma vercel", "gamma AWS", "gamma cloud deployment".
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill gamma-deploy-integration ai automation claude-code devops mcp ai-agents
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 Error Cause Solution Secret not found Missing secret Create secret in platform Timeout Function too slow Increase timeout limit Cold start Lambda initialization Use provisioned concurrency Permission denied IAM misconfigured Update IAM policies
Resources
Next Steps Proceed to gamma-webhooks-events for event handling.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
CLI to manage emails via IMAP/SMTP. Use `himalaya` to list, read, write, reply, forward, search, and organize emails from the terminal. Supports multiple accounts and message composition with MML (MIME Meta Language).
