Reflect Knowledge Graph
Analyzes and connects markdown notes to build a semantically linked knowledge system and automated Maps of Content.
The Reflect skill for Claude Code transforms isolated notes into a cohesive 'second brain' by identifying deep semantic relationships between ideas. It moves beyond simple keyword matching, using dual discovery—combining curated Map of Content (MOC) navigation with advanced vector search—to suggest meaningful links that pass a rigorous articulation test. Whether you are synthesizing a new topic or maintaining a growing vault, Reflect ensures your knowledge graph remains traversable, high-quality, and structurally sound by automatically updating indexes and bidirectional links.
主要功能
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02Semantic Relationship Discovery: Uses deep vector search to find conceptually related notes even without keyword matches.
03Dual-Path Discovery: Combines curated human navigation with AI-driven search to minimize knowledge gaps.
04Index Self-Healing: Automatically verifies and updates search indexes to maintain data integrity before processing.
05Automated MOC Updates: Keeps your organizational indexes and Maps of Content synchronized with new insights.
06Articulation Test Validation: Ensures every connection is substantive by requiring a clear rationale for the link.
使用场景
01Identifying non-obvious connections between technical documentation and high-level conceptual frameworks.
02Synthesizing complex research by weaving disparate notes into a unified and structured topic map.
03Automating the maintenance of a Personal Knowledge Management (PKM) system or digital garden.