Show Patterns

Display all patterns that have been automatically tracked by the self-improvement system.

Your Task

Execute the view-patterns script to show tracked patterns.

bash ${CLAUDE_PLUGIN_ROOT}/hooks/scripts/view-patterns.sh

What This Shows

The system automatically tracks patterns across all conversations, including:

Pattern Types:

high_bug_discussion - Conversations with many bug mentions
security_focus - Security-related topics
missing_tests - Code without tests
missing_validation - Code without input validation
high_error_rate - Multiple errors encountered
negative_user_experience - User frustration
unclear_communication - User confusion

Pattern Information:

Type: Pattern identifier
Description: What the pattern represents
Severity: Critical (🔴), Important (🟡), Minor (🟢)
Occurrences: How many times seen
First/Last seen: When the pattern was detected

Example Output

🔴 CRITICAL: high_error_rate
   Description: Multiple errors encountered in conversation
   Occurrences: 5
   First seen: 2025-01-15T10:30:00
   Last seen: 2025-01-20T14:20:00

🟡 IMPORTANT: missing_tests
   Description: Code provided but no tests mentioned
   Occurrences: 12
   First seen: 2025-01-10T09:15:00
   Last seen: 2025-01-20T16:45:00

Usage

/show-patterns

Interpreting Results

Critical Patterns (🔴):

Require immediate attention
Indicate serious recurring issues
Should be addressed proactively in every conversation

Important Patterns (🟡):

Should be improved
Common issues that affect quality
Worth consciously avoiding

Minor Patterns (🟢):

Nice to improve
Low-impact issues
Track for trends

Taking Action

Based on patterns shown:

Acknowledge the pattern: Be aware it's recurring
Understand why: What causes this pattern?
Create prevention: How to avoid it next time?
Apply proactively: Use the learning in future work

Related Commands

/show-learnings - View learning points
/show-metrics - View conversation statistics
/review-my-work - Trigger manual review
/quality-check - Quick quality assessment

Patterns are automatically tracked at the end of each conversation to enable continuous improvement.