What problem does it solve? Understanding a large or unfamiliar codebase is slow when done by manually reading files. This Skill provides a structured workflow for exploring code through a knowledge graph, letting you quickly locate modules, trace call relationships, and understand execution flows without reading every file. ## Core Features & Use Cases - Architecture Discovery: Run graph statistics and architecture overview queries to see high-level module and community structure before diving into details. - Relationship Tracing: Query callers, callees, and imports of any function or class, and inspect execution flows to understand how code paths connect. - Token-Efficient Exploration: Enforces minimal-context retrieval rules so reviews, debugging, and refactoring tasks complete within a small number of tool calls and output tokens. - Use Case: When onboarding to a new repository, start with graph stats and the architecture overview, then use semantic search to find the specific function you need to modify and trace its callers before making changes. ## Quick Start Ask the AI to explore this repository's architecture and find which functions call the authentication module using the code knowledge graph.
