What problem does it solve? Understanding the architecture of an unfamiliar or legacy codebase is slow and error-prone when done by reading source files alone. This Skill turns the knowledge graph and analysis report produced by a codebase analysis tool into an engineering-grade architectural understanding, so teams can assess structure without manually tracing every dependency. ## Core Features & Use Cases - Component and Boundary Mapping: Identifies major components, modules, and their inter- and intra-component edges from graph nodes and communities. - Pattern and Risk Detection: Recognizes architectural patterns (layered, hexagonal, microservice, monolith, event-driven) and flags structural risks such as cyclic dependencies, god objects, hidden coupling, and boundary violations. - Confidence-Labelled Findings: Preserves EXTRACTED, INFERRED, and AMBIGUOUS confidence labels on every structural claim, and verifies graph freshness before treating structure as current. - Use Case: When onboarding an unfamiliar repository, feed the knowledge graph and GRAPH_REPORT.md into this Skill to produce an architectural summary, component map, and traceable structural risk findings as inputs to an Architecture Assessment. ## Quick Start Analyze the knowledge graph and analysis report for this repository and produce an architectural summary with a component map and structural risk findings for the Architecture Assessment.
