Cfn Pattern Extraction

# Pattern Extraction Skill

## Purpose
Extract reusable patterns from CFN Loop retrospective data to improve future sprint execution.

## Key Responsibilities
- Analyze feedback themes
- Identify recurring patterns
- Calculate pattern frequency
- Generate pattern recommendations

## Pattern Identification Algorithm
1. Analyze feedback themes across multiple sprints
2. Use statistical methods to identify significant patterns
3. Create pattern confidence score based on:
   - Frequency of occurrence
   - Impact on sprint success
   - Reliability of evidence

## Pattern Types
- Agent Synergy Patterns
- Feedback Resolution Patterns
- Task Type Optimization Patterns
- Complexity Estimation Patterns

## Implementation Guidelines
- Maintain pattern database
- Update patterns incrementally
- Use machine learning for pattern refinement
- Ensure explainability of patterns