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Salesforce deploy integration

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

425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.

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

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What its author says it does

Copied from the file, not written here

'Deploy Salesforce-connected applications to Heroku, Vercel, and Cloud Run with proper credential management.

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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Salesforce Deploy Integration

Overview

Deploy Salesforce-connected Node.js applications to Heroku (native SF integration), Vercel, or Cloud Run with JWT authentication and proper secrets management.

Prerequisites

  • Salesforce Connected App with JWT Bearer flow
  • RSA key pair for server-to-server auth
  • Platform CLI installed (heroku, vercel, or gcloud)
  • Application tested against sandbox

Instructions

Heroku Deployment (Recommended for Salesforce)

Heroku has native Salesforce integration via Heroku Connect (bi-directional data sync).

# Create Heroku app
heroku create my-sf-app

# Set Salesforce credentials as config vars
heroku config:set SF_LOGIN_URL=https://login.salesforce.com
heroku config:set SF_CLIENT_ID=3MVG9...
heroku config:set [email protected]
heroku config:set SF_JWT_KEY="$(cat server.key)"

# Deploy
git push heroku main

# Optional: Add Heroku Connect for bi-directional sync
heroku addons:create herokuconnect:demo
heroku connect:authorize
# Map sObjects: Account, Contact, Opportunity → Postgres tables

Vercel Deployment (Serverless)

# Add Salesforce secrets
vercel env add SF_LOGIN_URL production
vercel env add SF_CLIENT_ID production
vercel env add SF_USERNAME production
vercel env add SF_JWT_KEY production  # Paste private key content

# Deploy
vercel --prod
{
  "functions": {
    "api/**/*.ts": {
      "maxDuration": 30
    }
  }
}
// api/salesforce/accounts.ts — Vercel serverless function
import jsforce from 'jsforce';

export default async function handler(req, res) {
  const conn = new jsforce.Connection({
    loginUrl: process.env.SF_LOGIN_URL,
  });

  // JWT auth — no password needed
  await conn.authorize({
    grant_type: 'urn:ietf:params:oauth:grant-type:jwt-bearer',
    client_id: process.env.SF_CLIENT_ID!,
    username: process.env.SF_USERNAME!,
    privateKey: process.env.SF_JWT_KEY!,
  });

  const accounts = await conn.query(
    'SELECT Id, Name, Industry FROM Account ORDER BY CreatedDate DESC LIMIT 10'
  );

  res.json({ accounts: accounts.records });
}

Google Cloud Run

FROM node:20-slim
WORKDIR /app
COPY package*.json ./
RUN npm ci --only=production
COPY . .
CMD ["npm", "start"]
# Store JWT key in Secret Manager
echo -n "$(cat server.key)" | gcloud secrets create sf-jwt-key --data-file=-

# Build and deploy
gcloud builds submit --tag gcr.io/$PROJECT_ID/sf-service

gcloud run deploy sf-service \
  --image gcr.io/$PROJECT_ID/sf-service \
  --region us-central1 \
  --platform managed \
  --set-env-vars SF_LOGIN_URL=https://login.salesforce.com \
  --set-env-vars SF_CLIENT_ID=3MVG9... \
  --set-env-vars [email protected] \
  --set-secrets=SF_JWT_KEY=sf-jwt-key:latest

Health Check Pattern

// health.ts — include in every deployment
export async function healthCheck() {
  const conn = new jsforce.Connection({ loginUrl: process.env.SF_LOGIN_URL });

  try {
    await conn.authorize({ /* JWT params */ });
    const limits = await conn.request('/services/data/v59.0/limits/');
    const apiRemaining = limits.DailyApiRequests.Remaining;

    return {
      status: apiRemaining > 1000 ? 'healthy' : 'degraded',
      salesforce: {
        connected: true,
        instance: conn.instanceUrl,
        apiRemaining,
      },
    };
  } catch (error: any) {
    return {
      status: 'unhealthy',
      salesforce: { connected: false, error: error.message },
    };
  }
}

Output

  • Application deployed to production platform
  • JWT authentication configured (no passwords in config)
  • Salesforce secrets stored in platform-native secrets manager
  • Health check endpoint verifying Salesforce connectivity
  • API limit monitoring active

Error Handling

IssueCauseSolution
INVALID_GRANT on deployJWT key format issueEnsure full private key including headers
Cold start timeoutConnection + auth on every requestCache connection or use connection pooling
Health check failsWrong SF_LOGIN_URLlogin.salesforce.com for prod, test.salesforce.com for sandbox
Secret not foundWrong secret nameVerify with platform-specific secret list command

Resources

Next Steps

For event handling, see salesforce-webhooks-events.

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