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:

1. Detected patterns with examples
2. Consistency score per category
3. Deviation examples
4. Recommendations for standardization

Storage Location

Save to: docs/research/patterns-{date}.md