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graph

Analyze knowledge graphs for connections, gaps, and synthesis opportunities.

Updated Aug 23, 2026
Search Tags:#analysis#nlp#synthesis#graph#knowledge-graph#bridges#triangles
One-click install
npx skills add https://github.com/hellofrommorgan/intent-computer --skill graph-hellofrommorgan
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graph
Source: https://github.com/hellofrommorgan/intent-computer/tree/main/packages/plugin/src/skill-sources/graph
Command: npx skills add https://github.com/hellofrommorgan/intent-computer --skill graph-hellofrommorgan

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The graph skill enables users to reason about interconnected domain knowledge by mapping natural language prompts to graph operations and interpreting results in domain vocabulary, turning scattered notes into a coherent knowledge fabric.

Core Features & Use Cases

  • Route natural language requests to graph scripts: health, triangles, bridges, clusters, hubs, siblings, forward, backward, and query.
  • Interpret results with domain vocabulary and propose concrete actions to advance understanding.
  • Interactive mode provides on-demand insights and guidance for exploring topic networks and knowledge boundaries.

Quick Start

Run a health check on your knowledge graph to surface overall health, density, and gaps.

Frequently Asked Questions about graph

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

FAQPage Schema
How do I analyze a knowledge graph to find connections and gaps in my notes?▼

Analyze your knowledge graph by mapping natural language prompts to operations like health, triangles, and bridges to surface connections, gaps, and synthesis opportunities in domain vocabularies.

What is a knowledge graph health check and how does it work?▼

A knowledge graph health check evaluates overall graph health, density, and gaps by routing requests to the health operation, interpreting results in domain vocabulary to propose concrete actions.

Can I use natural language commands to query graph clusters and hubs?▼

Yes, you can use natural language commands to query graph clusters and hubs. The system maps natural language requests directly to graph scripts for interactive topic exploration.

How do I find bridges and triangles in a domain vocabulary knowledge graph?▼

Find bridges and triangles by routing natural language requests to the respective graph scripts, surfacing structural synthesis opportunities and connections within your domain vocabulary.

What is the best way to navigate topic siblings in a knowledge graph?▼

The best way to navigate topic siblings is using the siblings graph operation, which maps requests to identify sibling topics, helping explore knowledge boundaries and topic networks.

Do I need structured commands for forward and backward graph traversal?▼

No, you do not need strictly structured commands. The graph skill supports both natural language and structured commands to perform forward, backward, and query operations for exploring topic networks.

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