memory-tool-integration

What problem does it solve?

This Skill provides a robust memory system for AI workflows, ensuring that learned functionality patterns, failure modes, and user preferences are persistently stored and retrieved. It prevents repetitive problem-solving and enables the AI to automate smarter by leveraging past experiences, saving time and improving consistency.

Core Features & Use Cases

• Functionality-First Memory: Stores high-value, validated functionality data, including user/admin/system flows, complexity, and success rates.
• Failure Mode Tracking: Remembers common functionality failure patterns, root causes, and successful fixes.
• Workflow Checkpoints & Preferences: Stores user preferences and workflow checkpoints for resuming long-running tasks.
• Filesystem & MCP Server Integration: Utilizes .claude/memory/ for filesystem-based storage and integrates with MCP memory servers.
• Use Case: After successfully building a "file upload" feature, this skill stores the user flow, system flow, and successful TDD patterns, allowing the AI to reference this knowledge for future, similar build tasks, accelerating development.

Quick Start

Store the successful user registration functionality pattern, including its user flow and system flow, into memory.