What problem does it solve? Valuable research findings, design decisions, and technical details from AI conversations get buried and lost. This Skill turns a conversation into a single self-contained Obsidian markdown note that stays useful months later, while preventing tag and category sprawl that breaks vault search. ## Core Features & Use Cases - Structured note generation: Produces markdown with exactly five YAML frontmatter fields (title, category, tags, description, created_at) plus scoped body sections for background, findings, conclusions, open questions, and references. - Controlled taxonomy: Reuses the vault's existing category and tag vocabulary from references/taxonomy.md, with alias normalization and a reuse test before minting new tags. - Faithful summarization: Preserves specifics verbatim (versions, figures, URLs, commands), adds nothing the conversation did not contain, and separates established facts from speculation. - Use Case: After a long research session comparing Loki retention options, ask for a note and receive a ready-to-save markdown file tagged consistently with the rest of your vault, plus any new tag lines to paste back into the taxonomy. ## Quick Start Ask the assistant to summarize this conversation into an Obsidian note and save it to your vault.