learning-patterns

What problem does it solve?

This Skill helps you manage and integrate the insights your AI assistant gains about your working habits, turning passive observations into actionable improvements.

Core Features & Use Cases

• Commit Learnings: Push observed behavioral patterns to a central memory for long-term storage and analysis.
• Review Patterns: Get a clear overview of learned preferences, workflows, and gaps, sorted by confidence.
• Graduate Patterns: Promote well-established patterns into your primary configuration (CLAUDE.md) for consistent application.
• Prune Patterns: Clean up outdated or incorrect observations to maintain an accurate understanding of your workflow.
• Use Case: After the AI has been observing your work for a while, you can use this skill to review what it has learned about your priorities and then graduate the most consistent patterns into your CLAUDE.md so the AI can proactively adapt to them.

Quick Start

Ask the learning patterns skill to push your staged learnings to MCP Memory.