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Project Memory Tracking is a specialized skill for Claude Code designed to provide a persistent knowledge base for complex development workflows. By leveraging Docker MCP memory, it stores and retrieves crucial project metadata—including microservice inventories, API endpoints, database schemas, and architectural decisions—ensuring that AI agents maintain full context without needing to re-analyze the codebase. This skill facilitates seamless transitions between tasks such as feature implementation, QA testing, and issue resolution by maintaining a consistent, queryable record of the current project state and technical history.