aibdd-core

To prevent shared documentation drift across multiple AI skills, use a centralized reference hub that acts as a single source of truth, exposing YAML frontmatter discovery metadata while keeping operational instructions non-executable.

You can standardize spec package paths for AI workflow generation by loading a centralized reference file, which provides consistent directory structure definitions for subsequent sibling skill steps.

To keep i18n rules consistent across different AI generation skills, reference a shared hub offering multi-language guidance for locales like en-us, ja-jp, ko-kr, zh-hans, and zh-hant.

No, aibdd-core does not execute operational instructions during skill discovery; it uses a LOAD-only design that only exposes YAML frontmatter metadata while keeping operational guidance non-executable.

The best way to manage cross-skill reference material for AIBDD workflows is centralizing shared SSOT resources, preventing duplicated and diverging guidance by referencing a single hub.

You should not use a shared reference hub for AI documentation if your sibling skills require independently evolving operational instructions, as this approach enforces strict consistency through a single source of truth.