What's Missing in Standard DynamoDB Architecture
DynamoDB manages data correctly, but lacks the infrastructure to track user activity and automatically segment users by engagement levels.
Standard DynamoDB Flow vs Optimized Skene Flow
User has access to DynamoDB features
Features available but usage not monitored
No activation prompts for unused features
Monitor DynamoDB 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 DynamoDB. It monitors DynamoDB 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 DynamoDB.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'
}
});