graph-theory
CommunityMaster graph theory for networks and paths.
AuthorSPIRAL-EDWIN
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill models and analyzes graphs to answer connectivity and path questions.
Core Features & Use Cases
- Graph representation: adjacency matrix/list, directed/undirected, weighted/unweighted.
- Traversal & analysis: DFS, BFS, connected components, shortest paths, centrality.
- Use Case: Determine the number of connected components in a social network or find the shortest route in a transportation network.
Quick Start
Install dependencies: pip install networkx matplotlib Run a quick example: python -c "import networkx as nx; G=nx.path_graph(5); print(nx.shortest_path(G,0,4))"
Dependency Matrix
Required Modules
None requiredComponents
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-theory Download link: https://github.com/SPIRAL-EDWIN/MCM-ICM-2601000/archive/main.zip#graph-theory Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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