discover-codebase-enhancements

Prioritize codebase refactoring by using an automated discovery workflow that gathers evidence and scores improvements based on jobs-to-be-done. It analyzes architecture docs, tests, and modules to rank fixes by impact, effort, and risk, providing a clear rationale for each recommendation.

Analyzing a repository for architecture and test gaps requires a deep crawl of key modules, tests, and documentation to surface hotspots. This Skill automates that discovery process, targeting performance issues and maintainability risks to produce structured, ranked recommendations.

Yes, you can find performance hotspots and DX issues in specific modules by scoping the discovery workflow to focused areas rather than the entire repository. The analysis applies jobs-to-be-done principles to target the exact scope you provide.

Generate a prioritized backlog of improvements by running an automated discovery workflow on your target repository. It synthesizes gathered evidence to rank refactors and tests, reducing risk and improving clarity with clear rationale for each item.

No, this codebase analysis approach requires no external dependencies to function. You simply provide a target repository or scope, and the built-in workflow handles the deep analysis, evidence gathering, and scoring autonomously.