Can I control the depth of the connection analysis?

Yes, it supports multiple processing depths (deep, standard, quick) via configuration, allowing you to choose between exhaustive synthesis or rapid, obvious link discovery.

What is the 'Articulation Test' in the Reflect skill?

It is a quality control mechanism where the AI must explicitly define the logic behind a connection (e.g., 'A extends B') before the link is finalized, preventing the graph from becoming cluttered with irrelevant noise.

How does it find connections between notes?

It uses a dual-discovery approach, combining semantic vector search to find conceptual neighbors and Map of Content exploration to follow curated organizational paths.

Does this skill work with existing note-taking systems?

Yes, it is designed for markdown-based systems and can be configured via a manifest file to match your specific vocabulary for notes, inboxes, and topic maps.

What is the primary function of the Reflect skill?

The Reflect skill analyzes your markdown notes to find meaningful connections and automatically updates your Maps of Content (MOCs) to maintain a structured knowledge graph.

Reflect Knowledge Graph

Name: Reflect Knowledge Graph
Author: agenticnotetaking

byagenticnotetaking

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2,813

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Learning & Documentation

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.

Key Features

012,813 GitHub stars

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.

Use Cases

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.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add agenticnotetaking/arscontexta reflect

For use in Claude.ai and ChatGPT

Download Skill