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Graph Algorithms

Community

Unlock graph insights with advanced algorithms.

Software Engineering#graph analysis#traversal#pagerank#graph algorithms#louvain#community detection
AuthorFrancisVarga
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a suite of powerful graph algorithms to analyze and understand complex relationships within the in-memory property graph of stupid-db, enabling the discovery of influential entities, community structures, and connection paths.

Core Features & Use Cases

  • Influence Analysis: Identify key nodes using PageRank.
  • Community Detection: Discover natural groupings of nodes with Louvain.
  • Pathfinding & Exploration: Perform BFS, DFS, and shortest path traversals.
  • Graph Health Metrics: Generate statistics for monitoring and LLM insights.
  • Use Case: Analyze a social network graph to find the most influential users (PageRank) or to identify distinct user communities (Louvain).

Quick Start

Use the graph algorithms skill to find the top 10 most influential nodes in the graph using PageRank.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Graph Algorithms
Download link: https://github.com/FrancisVarga/stupid-db/archive/main.zip#graph-algorithms

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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