What problem does it solve? As a personal knowledge wiki grows, related concepts and sources become scattered and hard to navigate. This Skill groups already-ingested knowledge into thematic topic pages under wiki/topics/, creating an organizing layer that surfaces relationships in the knowledge graph without introducing new content. ## Core Features & Use Cases - Topic Page Generation: Creates wiki/topics/<slug>.md with valid frontmatter (id, title, type, created, updated, key_sources) and four standard sections: Description, Key sources, Key concepts, and Open questions. - Graph-Aware Candidate Selection: Reads existing sources, concepts, and graph edges via the wiki.mjs CLI to propose 5-10 relevant sources and concepts for user approval before writing anything. - Bidirectional Edge Integrity: Writes forward and reverse edges (includes_source/included_in_topic, covers_concept/covered_by_topic) for every linked entity, keeping the knowledge graph consistent. - Refresh Workflow: Detects existing topic pages and offers skip, refresh, or abort options while preserving the original created date and user-edited sections. - Use Case: After ingesting a dozen articles and concepts about machine learning, ask the assistant to create a "Neural Networks" topic page that links the most relevant sources and concepts together with proper graph edges. ## Quick Start Ask the assistant to create a topic page named after your theme, for example: create a topic page called Neural Networks grouping my existing wiki sources and concepts.
