cfn-improvement-recommender git:20251114.91109c7C

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# Improvement Recommender Skill

## Purpose
Generate actionable improvement suggestions based on sprint retrospective data.

## Core Capabilities
- Analyze sprint performance metrics
- Identify bottlenecks and inefficiencies
- Recommend targeted improvements
- Provide confidence scores for recommendations

## Recommendation Categories
- Agent Selection
- Feedback Processing
- Validation Criteria
- Iteration Management
- Complexity Estimation

## Evaluation Criteria
- Frequency of issue occurrence
- Impact on sprint velocity
- Cost of implementing recommendation
- Potential performance improvement

## Improvement Scoring Model
- Confidence Level (0.0 - 1.0)
- Expected Benefit Quantification
- Implementation Complexity Rating

## Continuous Learning
- Track recommendation effectiveness
- Update recommendation strategies
- Learn from successful interventions