cli-audit-hanoi

Optimizing Dockerfile layer ordering involves placing stable, expensive layers at the bottom and volatile, cheap layers at the top. This Skill audits your build steps to correct layer sequencing, reducing cache invalidations and improving overall build performance.

Kubernetes build bottlenecks often stem from step inversions causing unnecessary rework. This Skill analyzes manifest sequencing to detect topological inversions and dependency mismanagement, recommending reordering that resolves inefficiencies and stabilizes the build process.

Yes, you can audit Ansible playbook step ordering for topological legality. The Skill analyzes build sequences across playbooks to ensure dependency management is correct, identifying inversions and recommending reordering for economy and stability.

Detecting multi-techno build step inversions requires analyzing topological legality across Dockerfiles, Kubernetes manifests, and CI pipelines. This Skill applies Python scripting to identify step inversions and resolve them through multi-techno displacement and reordering.

No external dependencies are required to run this build ordering audit. The Skill operates independently using internal Python scripts and reference components to analyze your build artifacts and output optimization recommendations.

You should reconsider automated build step reordering when your CI pipelines have strict, non-topological execution constraints that cannot be altered. The Skill focuses on topological legality and economy, so pipelines with rigid external state dependencies may require manual review.