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graph

Analyze knowledge graphs to reveal structural patterns, gaps, and opportunities.

226|55|Updated Mar 19, 2026
Search Tags:#analysis#patterns#graph#knowledge-graph#clusters#traversal
One-click install
npx skills add https://github.com/Miosa-osa/canopy --skill graph-miosa-osa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: graph
Source: https://github.com/Miosa-osa/canopy/tree/main/library/skills/analysis/graph
Command: npx skills add https://github.com/Miosa-osa/canopy --skill graph-miosa-osa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Graph analysis reveals structural patterns, gaps, and opportunities within knowledge networks, enabling governance, discovery, and risk assessment across teams and projects.

Core Features & Use Cases

  • Nine analysis operations to surface actionable insights about knowledge graphs, including triangles, bridges, clusters, hubs, siblings, and traversal patterns.
  • Use cases include identifying synthesis opportunities, critical connectors, highly connected nodes, topic clusters, and orphaned items to guide curation and governance.
  • Triggers on reachable entities and relationships to power proactive governance and knowledge management.

Quick Start

Analyze your knowledge graph to surface patterns, gaps, and opportunities.

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 structural patterns and gaps?▼

Knowledge graph analysis reveals structural patterns, gaps, and opportunities by applying configurable subgraph queries and traversal operations to organizational networks, surfacing relationships and governance signals.

What is the best way to identify critical connectors and orphaned items in enterprise knowledge networks?▼

Identifying critical connectors and orphaned items in enterprise knowledge networks requires running specific graph analysis operations like bridges and clusters to surface highly connected nodes and isolate gaps.

Can I export knowledge graph traversal results to dot or markdown formats?▼

Yes, you can export knowledge graph traversal results to multiple output formats including terminal, json, dot, and markdown, enabling flexible integration with downstream documentation and visualization workflows.

How do I detect topic clusters and synthesis opportunities in research graphs?▼

Detecting topic clusters and synthesis opportunities in research graphs involves executing cluster and triangle analysis operations to surface interconnected nodes and relationship patterns within the network.

Does graph analysis work for proactive governance and knowledge management?▼

Graph analysis works for proactive governance and knowledge management by triggering on reachable entities and relationships to surface highly connected nodes, siblings, and orphaned items for curation.

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