What problem does it solve? Answering questions about a large codebase by reading files and grepping is slow and error-prone. This Skill routes every codebase question through the codebase-memory-mcp knowledge graph, which indexes symbols, routes, call relationships, and architecture so answers come from a structured source of truth instead of raw file scans. ## Core Features & Use Cases - Symbol and code search: Find functions, classes, routes, variables, and components with BM25, pattern, or semantic search via search_graph and search_code. - Dependency and impact tracing: Trace callers, callees, data flow, and cross-service paths with trace_path, or run arbitrary Cypher queries with query_graph for multi-hop analysis. - Architecture and indexing: Get high-level architecture overviews, check index status, index repositories, detect changes, and manage Architecture Decision Records. - Use Case: When asked "who calls the validate function and what breaks if it changes", consult the graph with search_graph and trace_path instead of grepping the workspace. ## Quick Start Ask the agent to find where a function is defined and trace its callers using the codebase memory graph before reading any files.