networkx

Create, analyze, and visualize graphs with NetworkX.

Updated Aug 23, 2026

Search Tags:#visualization #graphs #shortest-paths #networkx #centrality #community-detection

Ready to run

npx skills add https://github.com/dakesan/cc-dnawork-plugin --skill networkx

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: networkx
Source: https://github.com/dakesan/cc-dnawork-plugin/tree/main/scientific-skills/networkx
Command: npx skills add https://github.com/dakesan/cc-dnawork-plugin --skill networkx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

## What problem does it solve? This Skill provides a comprehensive toolkit for creating, analyzing, and visualizing graphs, enabling you to model relationships, compute network metrics, and generate publication-quality visuals.

## Core Features & Use Cases

Construct and manipulate Graph, DiGraph, MultiGraph, and MultiDiGraph objects with rich attributes.
Run graph algorithms (shortest paths, centrality, clustering, communities) and generate insights from complex networks.
Visualize networks with a range of layouts and styling options for clear communication.

Quick Start

Create a simple graph and draw it: import networkx as nx G = nx.Graph() G.add_edge(1, 2, weight=0.5) nx.draw(G)