What problem does it solve? Projects often accumulate technical debt across tests, CI, security, and documentation without a clear picture of where they stand or what to fix first. This Skill provides a structured audit that scores codebase maturity and produces a prioritized, phase-by-phase remediation plan. ## Core Features & Use Cases - Stack Detection: Identifies the language, build tool, and CI system from project files like go.mod, package.json, pyproject.toml, and GitHub Actions workflows. - Maturity Scoring: Scores eight dimensions (tests, CI/CD, types/linting, error handling, docs, security, architecture, observability) on a 0-3 scale and presents a maturity matrix. - Phased Remediation Plan: Generates prioritized phases ordered by impact, with security and tests first, executed one phase at a time with CI verification between phases. - Use Case: Before a first public release of a Python project, run the audit to discover missing dependency scanning and thin test coverage, then follow the generated plan to reach release-ready maturity. ## Quick Start Audit this repository for maturity across tests, CI, security, and documentation, then generate a prioritized improvement plan.
