Install and configure Customer.io SDK/CLI authentication. Use when setting up a new Customer.io integration, configuring API keys, or initializing Customer.io in your project. Trigger with phrases like "install customer.io", "setup customer.io", "customer.io auth", "configure customer.io API key".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: customerio-install-auth description: | Install and configure Customer.io SDK/CLI authentication. Use when setting up a new Customer.io integration, configuring API keys, or initializing Customer.io in your project. Trigger with phrases like "install customer.io", "setup customer.io", "customer.io auth", "configure customer.io API key". allowed-tools: Read, Write, Edit, Bash(npm:), Bash(pip:), Grep version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Customer.io Install & Auth
Overview
Set up Customer.io SDK and configure authentication credentials for email, push, SMS, and in-app messaging automation.
Prerequisites
- Node.js 18+ or Python 3.10+
- Package manager (npm, pnpm, or pip)
- Customer.io account with API access
- Site ID and API Key from Customer.io dashboard
Instructions
Step 1: Install SDK
# Node.js (Track API)
npm install customerio-node
# Node.js (Journeys Track API - recommended)
npm install @customerio/track
# Python
pip install customerio
Step 2: Configure Authentication
# Set environment variables
export CUSTOMERIO_SITE_ID="your-site-id"
export CUSTOMERIO_API_KEY="your-api-key"
# Or create .env file
cat >> .env << 'EOF'
CUSTOMERIO_SITE_ID=your-site-id
CUSTOMERIO_API_KEY=your-api-key
EOF
Step 3: Verify Connection
import { TrackClient, RegionUS } from '@customerio/track';
const client = new TrackClient(
process.env.CUSTOMERIO_SITE_ID,
process.env.CUSTOMERIO_API_KEY,
{ region: RegionUS }
);
// Test by identifying a user
await client.identify('test-user', { email: 'test@example.com' });
console.log('Customer.io connection successful');
Output
- Installed SDK package in node_modules or site-packages
- Environment variables or .env file with Site ID and API Key
- Successful connection verification output
Error Handling
| Error | Cause | Solution |
|---|---|---|
| Invalid API Key | Incorrect or expired key | Verify key in Customer.io Settings > API Credentials |
| Invalid Site ID | Wrong site identifier | Check Site ID in Customer.io Settings |
| 401 Unauthorized | Authentication failed | Ensure both Site ID and API Key are correct |
| Network Error | Firewall blocking | Ensure outbound HTTPS to track.customer.io allowed |
| Module Not Found | Installation failed | Run npm install or pip install again |
Examples
TypeScript Setup
import { TrackClient, RegionUS, RegionEU } from '@customerio/track';
// US region (default)
const client = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_API_KEY!,
{ region: RegionUS }
);
// EU region
const euClient = new TrackClient(
process.env.CUSTOMERIO_SITE_ID!,
process.env.CUSTOMERIO_API_KEY!,
{ region: RegionEU }
);
Python Setup
import os
from customerio import CustomerIO
cio = CustomerIO(
site_id=os.environ.get('CUSTOMERIO_SITE_ID'),
api_key=os.environ.get('CUSTOMERIO_API_KEY')
)
Resources
Next Steps
After successful auth, proceed to customerio-hello-world for your first API call.
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
