skyline-screenshots

To update tutorial screenshots, you review the latest image diffs against baseline images, apply approved changes, and log decisions to maintain visual QA integrity. This workflow uses precise diff inspection and cover-shot verification procedures.

The screenshot update workflow is a centralized validation process for tutorial QA. It standardizes diff inspection, storage conventions, and decision logging to ensure visual accuracy and consistency across multiple locales.

Cover-shot verification across multiple locales requires following specific shortcut procedures and storage conventions. You inspect diff images, validate cover shots, and apply approved visual changes to maintain accuracy across localized tutorial guides.

During screenshot QA analysis, diff images should be stored using the specific conventions in ai/tmp. This storage approach maintains an auditable workflow for validating, accepting, reverting, or fixing tutorial screenshot changes.

Yes, managing tutorial screenshot updates requires the workflow guidance documented in ai/docs/screenshot-update-workflow.md. This documentation provides the necessary procedures for diff analysis, storage, and cover-shot tooling.