What's Missing in Standard Flask Architecture
Flask works, but developers often miss advanced features because there's no system to track setup progress and provide targeted guidance.
Standard Flask Flow vs Optimized Skene Flow
Standard Flow
1
Flask is installed
2
Framework configured but setup progress not tracked
3
No guidance for framework-specific best practices
Skene Flow
1
Track Flask setup milestones (first page, API route, deployment)
2
Identify setup completion milestones
3
Send framework-specific guidance and best practices
4
Track developer progress and send advanced tips
Visual comparison of the flows:
Loading diagram...
How Skene Fixes This
The Skene setup for Flask tracks developer progress through framework setup and automatically provides guidance when milestones are reached, helping developers discover advanced features.
Implementation Comparison
Using Skene Infrastructure
Auto-managed state. Installed via Prompt.
Install via Prompt
cursor.mdc
@task: Initialize Skene.
@action: Analyze my local code, validating subscription via `npx skene login`, and generate `skene.config.ts` to implement the Framework Onboarding pattern for Flask.Copy Skene Prompt for Cursor
Generated skene.config.ts
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'
}
});