What's Missing in Standard Supabase Architecture
Supabase's PostgreSQL is reliable, but there's no automatic system to segment users by activity patterns or trigger re-engagement campaigns for dormant users. Real-time subscriptions work for data changes, but they don't track behavioral patterns.
Standard Supabase Flow vs Optimized Skene Flow
User completes onboarding
User activity tracked manually (if at all)
No automated re-engagement when activity drops
Monitor Supabase 'events' table for user activity patterns via real-time subscriptions
Detect when user becomes dormant (hasn't logged in for 14 days)
Trigger re-engagement email sequence with personalized content
Track re-engagement success and adjust campaigns
Visual comparison of the flows:
Loading diagram...
How Skene Fixes This
The Skene infrastructure for Supabase monitors Supabase event patterns and identifies when users hit milestones or become inactive. It then automatically sends targeted re-engagement sequences based on their last activity.
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 Supabase.Copy Skene Prompt for Cursor
Generated skene.config.ts
// skene.config.ts - The Automated Way
import { defineLoop } from '@skene/sdk';
export default defineLoop({
type: 'retention',
opinion: 'Detect dormant users and trigger personalized re-engagement campaigns',
steps: [
{
trigger: {
type: 'schedule',
cron: '0 9 * * *' // Daily at 9 AM
},
condition: {
type: 'query',
query: `SELECT * FROM users WHERE last_activity_at < NOW() - INTERVAL '7 days' AND re_engagement_sent = false`,
timeout: '10m'
},
action: {
type: 'email',
provider: 'resend',
template: 're_engagement',
personalization: {
name: '{{user.name}}',
lastActivity: '{{user.last_activity_at}}'
}
}
}
],
recovery: {
retries: 3,
backoff: 'exponential'
}
});