What's Missing in Standard Firebase Architecture
Firebase creates user sessions, but lacks the infrastructure to detect when users first achieve value in your application without custom implementation.
Standard Firebase Flow vs Optimized Skene Flow
User signs up via authentication
User record created in Firebase
No automatic trigger - manual follow-up required
Watch Firebase 'users' table for new signups using firestore.collection()
Detect when user completes first key action (e.g., completing their first workflow) using Firebase queries
Trigger activation email sequence via Resend with personalized onboarding
Track activation completion and send milestone emails
Visual comparison of the flows:
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How Skene Fixes This
The Skene setup for Firebase watches Firebase events and triggers activation workflows when users hit key milestones. It uses firestore.collection() to send personalized onboarding sequences that guide users to their first value moment.
Implementation Comparison
Using Skene Infrastructure
Install via Prompt
@task: Initialize Skene.
@action: Analyze my local code, validating subscription via `npx skene login`, and generate `skene.config.ts` to implement the Retention Loop pattern for Firebase.Copy Skene Prompt for Cursor
Generated skene.config.ts
// skene.config.ts - The Automated Way
import { defineLoop } from '@skene/sdk';
export default defineLoop({
type: 'activation',
opinion: 'Detect when users complete their first key action and trigger personalized onboarding',
steps: [
{
trigger: {
type: 'database',
table: 'users',
event: 'insert'
},
condition: {
type: 'query',
query: `SELECT * FROM user_actions WHERE user_id = $1 AND action_type = 'first_project_created'`,
timeout: '5m'
},
action: {
type: 'email',
provider: 'resend',
template: 'activation_welcome',
personalization: {
name: '{{user.name}}',
activationLink: '{{user.activation_link}}'
}
}
}
],
recovery: {
retries: 3,
backoff: 'exponential'
}
});