Analyzes project structure, dependency graphs, and naming conventions to ensure AI-generated code respects architectural boundaries.
Camouf Architecture Analysis empowers Claude to understand the structural DNA of your project before any code is generated or modified. By mapping architectural layers, dependency directions, and naming conventions, it prevents common AI pitfalls such as phantom imports, signature drift, and cross-layer violations. This skill provides the critical context needed to maintain architectural integrity, ensuring that AI-assisted contributions are consistent with existing patterns and respect established module boundaries in complex codebases.
主な機能
01Automated detection of project-specific naming conventions
02Layer-specific metrics for functions, types, and file counts
03Detailed dependency graph analysis to prevent circular imports
041 GitHub stars
05Comprehensive mapping of architectural layers and boundaries
06Import pattern analysis to identify and prevent architectural leakage
ユースケース
01Onboarding Claude to a large, unfamiliar codebase before starting a task
02Validating architectural constraints between client and server layers
03Planning structural refactors or cross-module migrations
