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To analyze a codebase for architecture and conventions, this Skill automatically extracts dependencies, data flow, and project insights, generating a comprehensive knowledge base. This minimizes manual analysis and accelerates project onboarding without requiring you to read source code manually.

The best way to extract knowledge from an existing codebase is to run an automated analysis that detects architecture and conventions to create a `docs/CODEBASE.md` file. This generated document provides a comprehensive overview of project insights, dependencies, and data flow.

Yes, you can automatically detect data flow and dependencies without manually reading source code. The analysis process scans the project structure to extract key knowledge, generating a comprehensive knowledge base that highlights architectural details and conventions.

This codebase analysis approach requires no external dependencies to function. It operates independently using internal scripts to analyze project architecture and conventions, allowing you to extract knowledge and generate documentation with a single command.

Generating a project knowledge base for a large existing codebase is designed to be a quick automated process. By running a single command, it analyzes architecture and data flow rapidly, though exact duration scales with the total size and complexity of the project files.

Automated codebase analysis should be used instead of manual digging because it extracts architecture, conventions, and dependencies directly from the source. It generates a comprehensive knowledge base, providing an accurate overview without relying on potentially outdated documentation.