> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

# networkx — AI agent skill for data science and ml

> Create, analyze, and visualize complex networks and graphs in Python with NetworkX.

# `networkx`

> Create, analyze, and visualize 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.

**Category:** [data-science-and-ml](/research-agent-skills/skills#data-science-and-ml) · **License:** 3-clause BSD license · **Version:** 1.2

## Install

```bash theme={null}
npx research-agent-skills install networkx
npx skills add KalarisLabs/research-agent-skills --skill networkx
```

## When to use it

Create, analyze, and visualize 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.

## Full playbook

Read [SKILL.md](https://github.com/KalarisLabs/research-agent-skills/blob/main/skills/networkx/SKILL.md) for the complete workflow, references and any scripts. The agent installer copies the full skill folder.


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