What's Missing in Standard Supabase Architecture
While Supabase provides excellent data storage, it doesn't include built-in analytics or user behavior tracking. You need to implement custom event monitoring to detect churn risk.
Standard Supabase Flow vs Optimized Skene Flow
User has access to Supabase features
Features available but usage not monitored
No activation prompts for unused features
Monitor Supabase usage patterns and feature adoption
Identify users who haven't used key features
Trigger feature discovery emails with examples and use cases
Track feature adoption and send advanced usage guides
Visual comparison of the flows:
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How Skene Fixes This
We created a Skene Prompt that installs behavioral tracking for Supabase. It monitors Supabase tables for user activity patterns and automatically triggers re-engagement campaigns when users become inactive.
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'
}
});