Growth & Learning Skill (Tier 4)

The Feedback Loop That Makes Us Better

This tier contains skills for analyzing performance and improving future sessions.

Purpose

Process feedback, analyze metrics, and continuously improve the Dreamweaving system.

Load Conditions

This tier loads conditionally when:

Processing YouTube analytics data
Analyzing viewer comments
Reviewing code quality
Applying lessons to new sessions

Sub-Skills

Skill	Location	Purpose
Analytics Learning	`analytics-learning/`	Process YouTube metrics
Feedback Integration	`feedback-integration/`	Extract insights from comments

Feedback Loop

Session Published
       ↓
Analytics Collected (30-90 days)
       ↓
Lessons Extracted
       ↓
Knowledge Base Updated
       ↓
Applied to Next Session
       ↓
[Repeat]

Key Metrics Tracked

Category	Metrics
Engagement	Views, likes, comments, shares
Retention	Average view duration, retention %
Growth	Subscribers gained, impressions
Quality	Like ratio, comment sentiment

Benchmarks

Metric	Good	Average	Needs Work
Retention (30 min)	>50%	30-50%	<30%
Like Ratio	>8%	4-8%	<4%
Comment Rate	>1%	0.5-1%	<0.5%
Sub Conversion	>2%	1-2%	<1%

Knowledge Base Files

File	Purpose
`knowledge/lessons_learned.yaml`	Accumulated insights
`knowledge/best_practices.md`	Evolving standards
`knowledge/analytics_history/`	Historical data

Commands

# Process analytics for a session
/learn-analytics session-name

# Analyze comments
/learn-comments session-name

# Review code quality
/review-code

# Show accumulated lessons
/show-lessons

Integration with Production

When creating new sessions:

Check lessons_learned.yaml first
Apply successful patterns
Avoid known pitfalls
Test new approaches systematically

Related Resources

Serena Memory: session_learnings_system
Doc: docs/CANONICAL_WORKFLOW.md (learning section)