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exploring-knowledge-graph

Traverse the Brain knowledge graph to surface notes, observations, and relations.

Updated Jan 19, 2026
Search Tags:#notes#knowledge-graph#semantic-search#observations#relations#context-retrieval#graph-traversal
One-click install
npx skills add https://github.com/loriensleafs/brain --skill exploring-knowledge-graph-loriensleafs
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exploring-knowledge-graph
Source: https://github.com/loriensleafs/brain/tree/main/apps/claude-plugin/skills/exploring-knowledge-graph
Command: npx skills add https://github.com/loriensleafs/brain --skill exploring-knowledge-graph-loriensleafs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Brain stores knowledge as an interconnected graph: notes link to other notes via relations, observations capture key facts, and semantic search connects related concepts. Deep exploration reveals context that simple queries miss.

Core Features & Use Cases

  • Knowledge-graph exploration: traverse notes, observations, and relations to surface context and dependencies.
  • Context-rich inquiry: identify connected ideas across projects to understand decisions and patterns.
  • Use Case: Before planning a multi-topic task, run a graph traversal to map related notes and extract key observations.

Quick Start

Ask the AI to explore the knowledge graph for a topic, then read top related notes and summarize observations and relations.

Frequently Asked Questions about exploring-knowledge-graph

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

FAQPage Schema
How do I traverse a knowledge graph to find related notes and observations?▼

You can traverse a knowledge graph to find related notes and observations by using semantic search and graph traversal to surface connected concepts, dependencies, and context across topics.

What is semantic search and graph traversal for context retrieval?▼

Semantic search and graph traversal for context retrieval is the process of navigating interconnected notes and relations to surface deep dependencies and patterns that simple queries miss.

Can I investigate connections between concepts across multiple projects?▼

Yes, you can investigate connections between concepts across multiple projects by identifying linked ideas and extracting key observations through graph traversal.

Do I need external software to explore my notes and relations?▼

No, you do not need external software to explore notes and relations. The graph traversal operates internally through MCP tools without requiring additional applications.

What is the best way to plan across topics using a knowledge graph?▼

The best way to plan across topics using a knowledge graph is to run a traversal that maps related notes and extracts key observations before starting your multi-topic task.

Why does simple search miss context that knowledge graph exploration reveals?▼

Simple search misses context because it lacks graph traversal. Knowledge graph exploration reveals hidden relations and connected observations by navigating deep dependencies between concepts.

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