execute-the-deepscan-skill-now

A deep project scan reveals architecture, dependencies, and quality signals across multi-language repositories. It orchestrates shell tasks and agent-driven analyses to map project structure and tooling, producing a structured report covering docs and potential refactors.

Automated code analysis is applicable during onboarding, refactoring, and debt assessment across multi-language repositories. It coordinates shell and agent tasks to validate results, providing reproducible reports that speed up decisions about risks and opportunities.

The best way to analyze multi-language project structure is orchestrating shell and agent tools to map architecture and dependencies. This skill coordinates file reading and task execution to reveal quality signals and produce a structured analysis report.

No external dependencies are required to run an automated codebase scan. The skill coordinates internal shell execution, agent tools, and file reading tasks natively to validate results and write a reproducible report without needing prior package installations.

An automated deep scan report includes architecture mapping, tooling analysis, test coverage, documentation status, and potential refactors. It validates these results through coordinated shell and agent tasks to provide reproducible insights for refactoring decisions.