reflect

Traverses knowledge graphs to discover connections between items and update topic maps.

226|55|Updated Mar 19, 2026
One-click install
npx skills add https://github.com/Miosa-osa/canopy --skill reflect-miosa-osa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: reflect
Source: https://github.com/Miosa-osa/canopy/tree/main/library/skills/processing/reflect
Command: npx skills add https://github.com/Miosa-osa/canopy --skill reflect-miosa-osa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Discover connections between knowledge items. Scans the knowledge base for related concepts, updates topic maps, and surfaces synthesis opportunities using graph traversal. The connective tissue step of the 6R pipeline.

Core Features & Use Cases

  • Uncover latent relationships by traversing the knowledge graph
  • Update topic maps to reflect new links and insights
  • Surface synthesis opportunities for cross-domain ideas and novel claims

Quick Start

Run /reflect on a topic to generate a connection map.

Frequently Asked Questions about reflect

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

FAQPage Schema
How do I discover connections between notes using graph traversal?

Graph traversal discovers connections between knowledge items by scanning your knowledge base for related concepts and cross-links. It applies configurable depth and scope to traverse semantic relations across topic maps and notes.

What is a topic map and how does it surface synthesis opportunities?

A topic map is a knowledge structure that gets updated during connection discovery to reflect new links and insights. Graph traversal surfaces synthesis opportunities by identifying cross-domain ideas and novel claims within the topic map.

Can I configure the depth and scope when traversing a knowledge graph?

Yes, you can configure both depth and scope when traversing a knowledge graph. This allows you to control the extent of connection discovery and cross-link scanning across your knowledge base.

What is the best way to update a knowledge base with newly discovered semantic relations?

The best way to update a knowledge base with new semantic relations is using graph traversal to discover connections and automatically apply topic-map updates. This reflects new links and surfaces synthesis opportunities.

Does graph traversal work for finding cross-domain ideas in existing notes?

Graph traversal works effectively for finding cross-domain ideas in existing notes by scanning the knowledge base for related concepts. It uncovers latent relationships and signals synthesis opportunities across different domains.