What problem does it solve? Keeping a personal knowledge wiki up to date requires manually reading raw notes, articles, and transcripts, deciding where each piece belongs, and avoiding duplicates. This Skill automates that ingestion pipeline for an LLM-powered Obsidian vault. ## Core Features & Use Cases - Autonomous raw folder processing: Reads everything in raw/ (excluding raw/archived/), classifies each file as new content, an update, or user instructions, and builds an execution plan. - Anti-duplication and conflict handling: Checks _meta/index.md for existing pages by title or raw_source_path, updates instead of duplicating, and applies a conflict policy based on updated dates and confidence levels. - Structured closure: Archives processed files, updates the index and hot-cache, and appends ingest/update entries to a log. - Use Case: Drop a meeting transcript and a saved article into raw/, then let the Skill create source pages, update related entity and knowledge pages, and archive the originals. ## Quick Start Ask the assistant to ingest everything currently in the raw folder of your wiki vault and update the related pages.