reflect

Connect related notes and update MOCs using semantic search and relationship reasoning.

Updated Jan 8, 2026
One-click install
npx skills add https://github.com/lightningfastsls/London_Lab --skill reflect-lightningfastsls
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/lightningfastsls/London_Lab/tree/main/.claude/skills/reflect
Command: npx skills add https://github.com/lightningfastsls/London_Lab --skill reflect-lightningfastsls

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Connect notes and update MOCs by applying semantic judgment to identify genuine relationships, enabling synthesis and reducing information silos.

Core Features & Use Cases

  • Build forward and backward connections between notes to form a navigable knowledge graph.
  • Automatically update topic maps (MOCs) as new notes are created or relationships are discovered.
  • Facilitate topic-level synthesis by surfacing relevant relationships across disparate notes for deeper insights.

Quick Start

Ask Reflect to examine the latest notes and weave their connections into your MOC graph.

Frequently Asked Questions about reflect

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a knowledge graph from unconnected notes?

To build a knowledge graph from notes, this Skill applies semantic search and explicit relationship reasoning to identify genuine connections. It then weaves forward and backward links between related notes to form a navigable map.

How do I automatically update MOCs when new notes are added?

You can automatically update MOCs by asking the Skill to examine new notes. It applies semantic judgment to discover relationships and updates your topic maps dynamically as new material arrives, keeping synthesis current.

What is the best way to find semantic connections across disparate notes?

The best way to find semantic connections across notes is using semantic search to surface meaningful relationships across topics. This facilitates topic-level synthesis by linking disparate notes for deeper insights.

Does this note management approach avoid superficial links between topics?

Yes, this note management approach avoids superficial links by requiring articulation tests before adding any connections. It respects note provenance and applies explicit relationship reasoning to ensure only genuine relationships are mapped.

Can I use semantic search to synthesize information silos in my notes?

Yes, you can use semantic search to synthesize information silos by identifying and connecting related notes. This builds a coherent knowledge map, reducing silos and enabling deeper topic-level synthesis across your notes.

Why does my knowledge graph need articulation tests before adding links?

Your knowledge graph needs articulation tests before adding links to prevent superficial connections. This ensures that semantic judgment is applied to verify genuine relationships, maintaining the integrity of your topic maps.