How do I install the Customerio Deploy Pipeline skill?

Run npx skillmds@latest add micsapp/customerio-deploy-pipeline in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Customerio Deploy Pipeline safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Customerio Deploy Pipeline?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Customerio Deploy Pipeline free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under MIT.

Who published Customerio Deploy Pipeline?

micsapp (@micsapp) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Customerio Deploy Pipeline by micsapp

Name: Customerio Deploy Pipeline
Rating: 4.5 (4 reviews)
Author: micsapp

Customerio Deploy Pipeline

Deploy Customer.io integrations to production. Use when deploying to cloud platforms, setting up production infrastructure, or automating deployments. Trigger with phrases like "deploy customer.io", "customer.io production", "customer.io cloud run", "customer.io kubernetes".

micsapp Updated Sep 8, 2026 3 repo stars

File contents

Customer.io Deploy Pipeline

Overview

Deploy Customer.io integrations to production cloud platforms (GCP Cloud Run, Vercel, AWS Lambda, Kubernetes) with health checks and blue-green deployments.

Prerequisites

CI/CD pipeline configured
Cloud platform access (GCP, AWS, Vercel, etc.)
Production credentials ready

Instructions

Step 1: Deploy to Google Cloud Run

Set up GitHub Actions workflow with Workload Identity Federation, Docker build/push, and Cloud Run deployment with secrets from Secret Manager.

Step 2: Deploy to Vercel (if applicable)

Configure Vercel project with serverless API functions for identify, track, and webhook endpoints.

Step 3: Deploy to AWS Lambda (if applicable)

Use Serverless Framework with SSM parameter store for credentials and Lambda handlers for each API operation.

Step 4: Deploy to Kubernetes

Create Deployment with secrets from SecretKeyRef, resource limits, readiness/liveness probes, and Service.

Step 5: Implement Health Check

Build a health endpoint that tests Customer.io connectivity, reports status and latency, and includes version and uptime info.

Step 6: Set Up Blue-Green Deployment

Create a deployment script that deploys with no traffic, runs health checks, then gradually shifts 10% -> 50% -> 100%.

For detailed deployment manifests and scripts, load the reference guide: Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)

Output

Cloud Run deployment workflow
Vercel serverless deployment
AWS Lambda configuration
Kubernetes deployment manifests
Health check endpoint
Blue-green deployment script

Error Handling

Issue	Solution
Secret not found	Verify secret name and permissions
Health check failing	Check Customer.io credentials
Cold start timeout	Increase memory/timeout limits

Resources

Next Steps

After deployment, proceed to customerio-webhooks-events for webhook handling.

Examples

Basic usage: Apply customerio deploy pipeline to a standard project setup with default configuration options.

Advanced scenario: Customize customerio deploy pipeline for production environments with multiple constraints and team-specific requirements.

---name: customerio-deploy-pipelinedescription: Deploy Customer.io integrations to production. Use when deploying to cloud platforms, setting up production infrastructure, or automating deployments. Trigger with phrases like "deploy customer.io", "customer.io production", "customer.io cloud run", "customer.io kubernetes".license: MIT---# Customer.io Deploy Pipeline## OverviewDeploy Customer.io integrations to production cloud platforms (GCP Cloud Run, Vercel, AWS Lambda, Kubernetes) with health checks and blue-green deployments.## Prerequisites- CI/CD pipeline configured- Cloud platform access (GCP, AWS, Vercel, etc.)- Production credentials ready## Instructions### Step 1: Deploy to Google Cloud RunSet up GitHub Actions workflow with Workload Identity Federation, Docker build/push, and Cloud Run deployment with secrets from Secret Manager.### Step 2: Deploy to Vercel (if applicable)Configure Vercel project with serverless API functions for identify, track, and webhook endpoints.### Step 3: Deploy to AWS Lambda (if applicable)Use Serverless Framework with SSM parameter store for credentials and Lambda handlers for each API operation.### Step 4: Deploy to KubernetesCreate Deployment with secrets from SecretKeyRef, resource limits, readiness/liveness probes, and Service.### Step 5: Implement Health CheckBuild a health endpoint that tests Customer.io connectivity, reports status and latency, and includes version and uptime info.### Step 6: Set Up Blue-Green DeploymentCreate a deployment script that deploys with no traffic, runs health checks, then gradually shifts 10% -> 50% -> 100%.For detailed deployment manifests and scripts, load the reference guide:`Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)`## Output- Cloud Run deployment workflow- Vercel serverless deployment- AWS Lambda configuration- Kubernetes deployment manifests- Health check endpoint- Blue-green deployment script## Error Handling| Issue | Solution ||-------|----------|| Secret not found | Verify secret name and permissions || Health check failing | Check Customer.io credentials || Cold start timeout | Increase memory/timeout limits |## Resources- [Cloud Run Documentation](https://cloud.google.com/run/docs)- [Vercel Serverless Functions](https://vercel.com/docs/functions)- [AWS Lambda Best Practices](https://docs.aws.amazon.com/lambda/latest/dg/best-practices.html)## Next StepsAfter deployment, proceed to `customerio-webhooks-events` for webhook handling.## Examples**Basic usage**: Apply customerio deploy pipeline to a standard project setup with default configuration options.**Advanced scenario**: Customize customerio deploy pipeline for production environments with multiple constraints and team-specific requirements.

Frequently asked questions