Display tracked learning points from automated conversation analysis
Displays tracked learning points from automated conversation analysis
/plugin marketplace add C0ntr0lledCha0s/claude-code-plugin-automations/plugin install self-improvement@claude-code-plugin-automationsclaude-haiku-4-5Display all learning points that have been automatically tracked by the self-improvement system.
Execute the view-learnings script to show tracked learnings.
bash ${CLAUDE_PLUGIN_ROOT}/hooks/scripts/view-learnings.sh
The system automatically tracks learning points when specific topics or issues come up in conversations:
Learning Categories:
Learning Information:
š„ sql_injection_discussed
SQL injection topic came up - ensure parameterized queries used
Learned: 2025-01-10T09:00:00
Reinforced: 5 times (last: 2025-01-20T15:30:00)
ā missing_validation_pattern
Input validation missing - add validation before business logic
Learned: 2025-01-12T11:20:00
Reinforced: 2 times (last: 2025-01-19T14:10:00)
š” test_coverage_low
Tests not provided with code - always include test examples
Learned: 2025-01-18T16:45:00
/show-learnings
When you see highly reinforced learnings:
Example Application:
Learning: "SQL injection - use parameterized queries"
ā Before writing ANY database query:
ā Check if parameterized
ā Never concatenate user input
ā Use ORM or prepared statements
Why track reinforcement?
Goal: Every highly-reinforced learning should eventually stop being reinforced because you've internalized it and stopped making that mistake.
/show-patterns - View tracked patterns/show-metrics - View conversation statistics/review-my-work - Trigger manual review/quality-check - Quick quality assessmentLearnings are automatically tracked when specific topics arise to build a knowledge base for continuous improvement.