What link syntax does the Graph skill support?

The skill is designed to recognize and analyze standard wikilink syntax, specifically strings formatted as [[Note Name]].

Does this skill require an external database?

No, it performs all analysis locally on your markdown files using built-in tools like Grep, Glob, and Bash.

Can I customize the terminology for my specific domain?

Yes, the skill reads from an optional derivation-manifest.md file to map vocabulary for notes, topic maps (MOCs), and specific connection commands.

What are 'synthesis opportunities' in this skill?

The skill finds 'open triangles' where Note A links to both B and C, but B and C are not yet connected, suggesting a potential conceptual relationship.

How does it determine if a graph is healthy?

It calculates link density against a benchmark (0.02 to 0.06 is considered healthy) and checks for orphan notes, dangling links, and topic map coverage.

Knowledge Graph Analyzer

Name: Knowledge Graph Analyzer
Author: LopeWale

byLopeWale

0•

学习与文档

Analyzes and optimizes structural connections within markdown-based knowledge systems and documentation.

The Graph skill transforms a collection of individual notes into a cohesive, structured knowledge system by performing deep analysis on the connections between them. It provides actionable insights into graph health, identifies isolated or 'orphan' notes, and uncovers hidden synthesis opportunities through triadic closure analysis. By mapping out clusters, hubs, and structurally critical 'bridge' notes, it helps users understand topic boundaries and improve the overall density, navigability, and compound value of their documentation or personal second brain.

主要功能

010 GitHub stars

02Synthesis discovery to find unlinked but conceptually related note pairs

03Influence ranking to identify high-authority hubs and key synthesizer notes

04Cluster analysis to automatically discover connected components and topic boundaries

05Structural bridge identification to highlight critical nodes that prevent graph fragmentation

06Comprehensive health reports including link density, orphans, and dangling link detection

使用场景

01Identifying structural gaps and synthesis opportunities in technical documentation

02Maintaining and optimizing a large Zettelkasten or Obsidian-style knowledge base

03Improving the information architecture of internal wikis and project READMEs

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lopewale/ampllabs graph

For use in Claude.ai and ChatGPT