What problem does it solve? Raw meeting transcripts, conversation logs, and pasted documents contain valuable knowledge that gets lost without structure. This Skill turns unstructured external input into organized Basic Memory notes with extracted entities, categorized observations, and linked relations. ## Core Features & Use Cases - Entity Extraction & Deduplication: Identifies people, organizations, and topics from raw text, then searches existing notes with multiple query variations to avoid duplicates. - Approval-Gated Creation: Presents proposed new entities for user approval before writing anything to the knowledge graph. - Structured Note Templates: Creates source notes preserving verbatim content plus categorized observations (decisions, insights, next steps) and wiki-linked relations. - Use Case: Paste a meeting transcript with a new client and get a verbatim source note, approved Person and Organization entity notes, and extracted action items with follow-up reminders. ## Quick Start Process this pasted meeting transcript into Basic Memory, extract the people and organizations mentioned, and create notes for the entities I approve.