What problem does it solve? Turning study notes, research, or raw ideas into reusable atomic knowledge notes is error-prone: duplicates creep in, tags fragment, and notes end up orphaned from the knowledge graph. This Skill enforces a governed pipeline so every note created in NODES/ is deduplicated, schema-valid, tagged from a controlled vocabulary, and linked into the MOC navigation graph. ## Core Features & Use Cases - 8-Step Creation Pipeline: Classifies the note type, runs a 3-tier deduplication protocol, discovers the owner MOC, maps relationships, selects controlled tags, drafts from templates, validates against a 12-point checklist, and writes the note. - Four Input Modes: Single concept creation, batch extraction from study notes, topic deep-dives, and merge/update of overlapping existing notes. - Strict Governance: Enforces Frontmatter Schema v4, kebab-case naming, 12 approved discovery tags, source provenance, and zero-orphan graph connectivity. - Use Case: After finishing a study note on a machine learning video, ask to atomize its downstream concept candidates — the Skill deduplicates each candidate against existing nodes, presents a batch plan, and writes approved atomic notes linked to the right MOC. ## Quick Start Ask the agent to create an atomic note for a specific concept, for example by saying: create an atomic note for the concept of Spaced Repetition.
