What problem does it solve? Exploring large codebases with grep and file reading is slow and token-expensive. This Skill uses a pre-indexed knowledge graph to answer structural questions—who calls a function, what it calls, which code is dead—in roughly 500 tokens instead of 80K. ## Core Features & Use Cases - Call Tracing: Trace inbound, outbound, or bidirectional call chains for any function with trace_path, including risk-classified traces. - Structural Search: Find functions by name pattern, detect dead code (zero-degree nodes), and identify high fan-in/fan-out refactor candidates with search_graph. - Impact Analysis: Map local git diffs to affected symbols with detect_changes, and run custom Cypher queries via query_graph for cross-service edge analysis. - Use Case: Before refactoring a shared utility function, trace its full call context across services to see every caller, then run a dead-code audit to find unused functions safe to delete. ## Quick Start Ask the AI to trace who calls a specific function and show its dependencies using the codebase knowledge graph.