NetworkX
Skill Verifiziert AktivComprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python. Use when working with network/graph data structures, analyzing relationships between entities, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks, or visualizing network topologies. Applicable to social networks, biological networks, transportation systems, citation networks, and any domain involving pairwise relationships.
To enable AI agents to perform complex network and graph analysis tasks, from creating and manipulating graph structures to running advanced algorithms and generating visualizations.
Funktionen
- Graph creation and manipulation (Graph, DiGraph, MultiGraph, MultiDiGraph)
- Extensive graph algorithms (shortest paths, centrality, community detection, flow)
- Graph generators for various network models (random, small-world, scale-free)
- Support for multiple graph I/O formats (edge list, GraphML, JSON, Pandas, NumPy)
- Integrated visualization capabilities using Matplotlib and links to interactive libraries
Anwendungsfälle
- Analyzing social networks, biological networks, or transportation systems
- Computing graph algorithms like shortest paths or centrality measures
- Detecting communities or generating synthetic networks for testing
- Visualizing network topologies and structures
Nicht-Ziele
- Performing graph analysis outside of Python's NetworkX library
- Offering real-time graph database integration
- Providing a graphical user interface for graph editing
Workflow
- Load or create a graph structure.
- Examine graph properties (nodes, edges, degree).
- Apply relevant algorithms (shortest paths, centrality, community detection).
- Optionally, visualize the graph.
- Export results or save the modified graph.
Installation
npx skills add K-Dense-AI/claude-scientific-skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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