networkx
This skill provides access to the NetworkX Python library for creating, analyzing, and visualizing network graphs. It includes examples for building graphs, running algorithms like shortest paths and centrality measures, generating synthetic networks, and creating visualizations with matplotlib and interactive libraries.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install k-dense-ai-claude-scientific-skills-networkx
Repository
Skill path: scientific-skills/networkx
This skill provides access to the NetworkX Python library for creating, analyzing, and visualizing network graphs. It includes examples for building graphs, running algorithms like shortest paths and centrality measures, generating synthetic networks, and creating visualizations with matplotlib and interactive libraries.
Open repositoryBest for
Primary workflow: Analyze Data & AI.
Technical facets: Data / AI.
Target audience: Data teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: K-Dense-AI.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install networkx into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/K-Dense-AI/claude-scientific-skills before adding networkx to shared team environments
- Use networkx for data workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.