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wiki-graph

Query wiki page graphs to analyze relationships and topology.

Updated Aug 23, 2026
Search Tags:#knowledge graph#content structure#visualization#wiki#link analysis
One-click install
npx skills add https://github.com/surebeli/AK-llm-wiki --skill wiki-graph
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: wiki-graph
Source: https://github.com/surebeli/AK-llm-wiki/tree/main/plugin/skills/wiki-graph
Command: npx skills add https://github.com/surebeli/AK-llm-wiki --skill wiki-graph

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables structuring and querying a wiki's content as a graph, allowing users to find relationships, shortest paths, and topological insights without maintaining a persistent database.

Core Features & Use Cases

  • Graph Traversal: Find neighbors, shortest paths, and clusters within wiki pages based on links and metadata.
  • Structural Queries: Identify hubs, orphans, and evaluate cluster cohesiveness to assess content organization.
  • Use Case: Discover how two concepts are connected and visualize their relationship with a generated Mermaid diagram to facilitate knowledge discovery.

Quick Start

Use the wiki-graph skill to find the shortest path between 'Claude-3' and 'GPT-4' and visualize it in Mermaid format.

Frequently Asked Questions about wiki-graph

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

FAQPage Schema
How do I analyze wiki content structure and link relationships without a database?▼

To analyze wiki content structure without a database, you can dynamically query interlinked pages to extract links and compute graph metrics on the fly using Python scripts.

Can I find the shortest path between two concepts in a wiki?▼

Yes, you can find the shortest path between wiki concepts by performing graph traversal on your markdown files to analyze page relationships and generate a Mermaid diagram visualization.

How do I identify orphan pages and hubs in my wiki?▼

You can identify orphan pages and hubs by running structural queries on your wiki's link topology to evaluate cluster cohesiveness and assess content organization.

What is the best way to visualize wiki link analysis for knowledge management?▼

The best way to visualize wiki link analysis is by computing graph metrics on demand and rendering the resulting content topology as a Mermaid diagram to facilitate knowledge discovery.

Do I need a persistent database to query wiki page topology and clusters?▼

No, you do not need a persistent database to query wiki topology and clusters; the system reads markdown files directly to compute structural and filter-based graph metrics.

Does wiki-graph work with markdown files for on-demand graph traversal?▼

Yes, wiki-graph works with markdown files by using Python scripts to read content, extract links, and compute live graph traversal metrics for on-demand knowledge analysis.

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