What problem does it solve? Setting up a knowledge base that supports a full content pipeline—from raw materials to published drafts—usually means inventing folder structures by hand and risking damage to existing notes. This Skill safely creates, checks, or incrementally adapts a local Obsidian vault with a proven layered structure, without overwriting, moving, or deleting anything the user already has. ## Core Features & Use Cases - Safe Initialization: Creates missing directories, templates, and a .ray-obsidian.json manifest via a dry-run preview first, preserving all existing files. - Structure Auditing: Runs a check command that reports vault status (ready, incomplete, missing, invalid manifest) so you know exactly what is lacking. - Legacy Upgrade: Recognizes ray-content-v1 manifests and upgrades them to ray-content-v2 incrementally while keeping old notes and directories in place. - Use Case: You want to start writing with an AI-assisted content pipeline but have no knowledge base. The Skill locates or asks for a target directory, previews the changes, builds the full skeleton (materials, knowledge, candidate topics, writing tasks, drafts, publish feedback), and hands the vault path off to downstream writing skills. ## Quick Start Ask the AI to set up a local Obsidian knowledge base at a chosen directory that can later feed the ray-writer content workflow.