AI导哈

营销与写作

networkx

k-dense-ai/scie…t-skills

Creates, analyzes, and visualizes complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks (random, scale-free, small-world), reading/writing graph file formats, or drawing network topologies. Common applications include social, biological, transportation, and citation networks.

  • 2054 次安装
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安装命令

npx skills add https://github.com/k-dense-ai/scientific-agent-skills --skill networkx

SKILL.md

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.

This skill targets tested NetworkX 3.7 (Python >=3.12, excluding 3.14.1). Several pre-3.0 APIs (nx.info, nx.write_gpickle, nx.read_shp) and the 3.4-era nx.random_tree no longer exist — current replacements are used throughout this skill.

Review sources, executed examples, optional-dependency limits, and reproducibility notes are in references/review.md. Reference snippets are API patterns: supply the stated graph type and input files; they are not one sequential script.

When to Use This Skill

Invoke this skill when tasks involve:

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