Pattern Detection Skill
Purpose
Identify and document patterns for consistency enforcement.
Pattern Categories
1. Naming Conventions
Reference: patterns/naming-conventions.md
Detection method:
- •Sample 10+ files across different directories
- •Extract function/class/variable names
- •Identify dominant patterns
2. Error Handling
Reference: patterns/error-handling.md
Detection method:
- •Search for try/catch blocks
- •Find custom error classes
- •Check for error middleware
3. Testing Patterns
Reference: patterns/testing-patterns.md
Detection method:
- •Locate test files
- •Analyze test structure
- •Identify mocking approach
Consistency Scoring
Rate codebase consistency:
- •High (90%+): Strong patterns, few deviations
- •Medium (70-89%): Clear patterns with some variation
- •Low (<70%): Inconsistent, needs standardization
Output Format
Create patterns document with:
- •Detected patterns with examples
- •Consistency score per category
- •Deviation examples
- •Recommendations for standardization
Storage Location
Save to: docs/research/patterns-{date}.md