What is a Map of Content (MOC)?

A Map of Content (MOC) is a curated index or 'hub' note that organizes individual notes around a specific theme, acting as a navigational layer for your knowledge base.

What is the 'Articulation Test' in this context?

It is a quality control mechanism where the AI must explicitly define the relationship (e.g., 'extends', 'contradicts', or 'exemplifies') before it is allowed to create a link, preventing graph pollution.

Do I need a specific folder structure for this skill?

The skill is flexible; it reads configuration from 'ops/derivation-manifest.md' to adapt to your specific folder names, vocabulary, and preferred note-taking terminology.

How does the Reflect skill find connections?

It uses a dual-discovery approach: browsing existing MOCs for manually curated links and performing vector-based semantic searches to find conceptually similar content that hasn't been linked yet.

Knowledge Graph Reflector

Name: Knowledge Graph Reflector
Author: LopeWale

byLopeWale

•

Productividad y Flujo de Trabajo

Automates semantic link discovery and updates Maps of Content to build a cohesive, interconnected knowledge graph.

The Reflect skill is a specialized knowledge management tool for Claude Code designed to identify deep, semantic connections between individual notes and documents. It moves beyond simple keyword matching by employing dual discovery—combining manual Map of Content (MOC) exploration with vector-based semantic search—to weave isolated fragments into a structured knowledge vault. By applying a rigorous 'articulation test' to every potential link, it ensures your digital garden or Zettelkasten remains high-quality and traversable, automatically updating indexes and bidirectional links to facilitate long-term synthesis and insight.

Características Principales

01Automated index freshness verification with self-healing search capabilities

02Bidirectional link management and automatic Map of Content (MOC) updates

03Semantic judgment engine to articulate the specific nature of conceptual relationships

04Dual discovery combining MOC browsing and vector-based semantic search

05Discovery Trace logging for full transparency on how connections were identified

061 GitHub stars

Casos de Uso

01Building and maintaining a Zettelkasten or digital garden from raw research notes

02Synthesizing complex technical topics by mapping relationships between atomic concepts

03Identifying non-obvious thematic connections across large, cross-domain document sets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lopewale/dev_ignition reflect

For use in Claude.ai and ChatGPT

Download Skill