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Networkx

Listed
davila7·vlatest·backend·MIT

This skill uses NetworkX to create, manipulate, and analyze complex graph data structures, enabling powerful relationship modeling and visualization.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add davila7/claude-code-templates --skill networkx -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

davila7

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 457 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as davila7/claude-code-templates.
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About this skill

What it does

This skill provides access to NetworkX, a Python library for creating, manipulating, and studying the structure, dynamics, and functions of complex networks. It allows you to analyze relationships between entities represented as nodes and edges, enabling tasks like finding shortest paths, identifying central nodes, and detecting communities within a network. The skill facilitates graph-based data analysis directly within an AI agent's workflow.

When to use it

  • Social Network Analysis: Analyze connections and influence within social media platforms or organizational structures.
  • Route Optimization: Determine the most efficient path between locations represented as nodes in a transportation network.
  • Dependency Mapping: Visualize and analyze dependencies between software components or tasks in a project.
  • Knowledge Graph Exploration: Traverse and query relationships within knowledge graphs to extract insights.

Key capabilities

  • Graph creation and manipulation
  • Shortest path calculations
  • Centrality measures (e.g., degree centrality, betweenness centrality)
  • Community detection algorithms
  • Network visualization

Example prompts

  • "Create a graph representing the connections between these cities: London, Paris, Rome, Berlin."
  • "Find the shortest path from node 'A' to node 'D' in this network."
  • "Calculate the degree centrality of each node in this social network graph."

Tips & gotchas

  • Requires a Python environment with NetworkX installed. Ensure the agent has access to and can execute Python code.
  • NetworkX graphs are data structures; understanding graph theory concepts will improve your ability to effectively utilize this skill.