workspace-skill-discovery

Workspace skill discovery works by scanning for skill directories at multiple levels, including global, repository root, and project-level locations. It prioritizes project-specific skills over global ones to ensure context-aware workflow loading for relevant task execution.

Your AI assistant relies solely on global skills when project-level directories are not explicitly loaded. Running a workspace discovery scan identifies and loads these context-specific skills, maximizing the assistant's utility by making all available tools discoverable.

To load project-level skills, execute the find command to discover all skill locations in the workspace. This process prioritizes project-specific skills over global ones, ensuring you have access to custom scripts or templates specific to that project before execution.

You need to scan for skills at multiple directory levels when you require comprehensive access to context-specific workflows across a workspace. This prevents reliance solely on global skill sets by locating skills in global, repository root, and project-level directories.

Yes, you can use workspace skill discovery to find custom documentation generation scripts. By scanning project-level directories and prioritizing them over global skills, it ensures you have access to any custom templates or scripts specific to that project.