Networkx

You'll reach for this when you need to analyze relationships between entities, whether that's social networks, citation graphs, biological pathways, or transportation systems. It handles the full workflow: creating graph structures with attributes, running algorithms like PageRank and shortest paths, detecting communities, and visualizing networks with matplotlib. The documentation covers four graph types (directed, undirected, multi-edge variants), synthetic network generators for testing (Barabási-Albert, Watts-Strogatz), and I/O for various formats including GraphML and pandas DataFrames. The real strength is the breadth of algorithms available out of the box, from centrality measures to flow problems, which saves you from implementing graph theory fundamentals yourself.

skills.sh installs: 362
GitHub stars: 33.2K
last updated: Aug 21, 2026

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Install

$ npx -y skills add davila7/claude-code-templates --skill networkx --agent claude-code

Installs into .claude/skills of the current project.

Files

NetworkX

Overview

NetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs. Use this skill when working with network or graph data structures, including social networks, biological networks, transportation systems, citation networks, knowledge graphs, or any system involving relationships between entities.